Citation classics in acute pancreatitis

Background/ObjectivesThe number of times an article is cited in scientific journals reflects its impact on a specific biomedical field or specialty and reflects the impact of the authors' creativity. Our purpose was to characterize the most frequently cited articles about acute pancreatitis.MethodsWe utilized the 2010 edition of Journal Citation Reports and Social Sciences Citation Index database to determine the most frequently cited articles published after 1956. The 100 most frequently cited articles were selected. Articles were evaluated for several characteristics including number of citations, publication time, country of origin, institution, journal, publication type of article and authorship.ResultsThe most frequently cited article received 1281 citations and the least frequently cited article received 163 citations, with a mean of 266.65 citations per article. These citation classics were published in 31 high-impact journals, led by Gastroenterology. Of the 100 articles, 56 were clinical observational studies, 20 concerned basic science and 15 were review articles. The articles originated from 16 countries, with the United States contributing 47 articles; 56 institutions produced these 100 top-cited articles, led by University of Ulm (9 publications) and New York University (9 publications); 23 persons authored 3 or more of the top-cited articles led by Imrie (10 publications).Conclusion“Citation classics” about acute pancreatitis are detected in both experimental and clinical research field, which provide a historical perspective on the scientific progress and allow for recognition of important advances in this specialty.     

Top 100 cited Articles in Charcot Neuroarthropathy

Background and aimsAn article's scientific impact has often been measured by the number of citations it receives, and a citation analysis can help determine impactful works in medical specialties. The objective of this study is to describe the metrics and levels of evidence of articles in Charcot neuroarthropathy.MethodsThis study reviewed the top 100 most cited articles available when searching for articles in electronic database using the keywords “Charcot neuroarthropathy.” Each article was examined for the number of citations, publication type, journal specialty, authorship, country of origin, year of publication, level of evidence, and total sample size.ResultsThe number of citations ranged from 20 to 490. The 100 most cited articles were published in 48 journals, spanning from general to more specific subspecialty journals. 19% of articles were published by the Journal of Foot and Ankle Surgery. The most common level of evidence was V (42 out of 100 articles), and most articles were literature reviews (n = 42) and case series (n = 27). The median sample size in experimental studies was 29. Out of 100 articles, only 5 were randomized controlled trials.ConclusionsThe median year of most cited publications, 2008, suggests a need for newer studies reviewing Charcot neuroarthropathy. The paucity of articles with an evidence level of 1 or 2 along with small median sample size suggests a lack of scientifically rigorous studies reviewing Charcot neuropathy. Identification of most cited papers about Charcot neuroarthropathy gives clinicians insight into the general scientific review of the disorder.Level of clinical evidenceN/A     

Mapping the global literature output on nocturia: A bibliometric and visualized analysis

Purpose:This study aims to facilitate researchers’ and clinicians’ understanding of research frontiers and trends in nocturia. It explores the scientific research outcomes and key bibliometric indices and plots global research on nocturia.Methods:A bibliometric retrospective study was designed, and an online search was conducted in the Web of Science Core Collection database using the potential search keywords related to nocturia in the title field with some specific filtration. HistCite™ and VOSviewer software for windows were used to analyze the data obtained for authors, journals, countries, institutions, keywords, and visualization mapping.Results:The initial search retrieved 1479 hits. A total of 1445 publications were included in the final analysis. Of these, 43.53% were published as articles. The most studied area in nocturia is urology nephrology. The most productive year was 2019 (n = 121, citations = 335), and the most prolific author, both in terms of publications (n = 97) and citations (1658) was Weiss JP. The most cited journal in nocturia research was the Journal of Urology (n = 293, citations = 3050). The most widely used keyword in nocturia publications was nocturia (n = 1249). Visualization mapping shows that the USA was the most influential and highly cited country in nocturia research.Conclusion:This study showed that there has been an increasing research trend in nocturia over the past few years. The current findings provide important empirical evidence for researchers, clinicians, and physicians to understand research frontiers and trends, achievements, collaborative networks, and hotspot research topics in the research field of nocturia.     

Global research on vitamin D and coronavirus disease 2019: A bibliometric and visualized study

Background and aim:Vitamin D play a substantial role in immune function, but little is known about its prevention in coronavirus disease 2019 (COVID-19). A detail bibliometric analysis of the published scientific literature indexed in Web of Science on vitamin D as a therapeutic option for the COVID-19 patients’ treatment is lacking. Thus, the current study was conducted to determine the key bibliometric indices and plot the global research on vitamin D and COVID-19.Methods:The Web of Science Core Collection database was utilized to retrieve publications on vitamin D and COVID-19. A Boolean search strategy was applied and the obtained data were exported to Microsoft Excel to generate relevant graphs. Furthermore, VOSviewer software version 1.6.17 for Windows was used to generate co-authorship countries, bibliographic coupling sources and co-occurrence keyword network visualization mapping. In addition, RStudio and Bibliometric online tool were used to generate WordCloud and thematic map, and intercountries relation map, respectively.Results:A total of 818 publications on vitamin D and COVID-19 were included in the final analysis. These publications were cited 10,713 times, with an H-index of 50. The number of publications and citations score from 2020 to November 2021 increased from 317 (2423 citations) to 501 (8290 citations). Delanghe JR and Speeckaert MM were the most prolific authors with 13 publications each. The most productive journal was Nutrients (n = 63). The most studied research area is nutrition dietetics. The most widely used author keywords were COVID-19 (n = 444), Vitamin D (n = 312), and SARS-CoV-2 (n = 190). The National Institute of Health and US Department of Health and Human Services were the leading funding agencies. Harvard University was the most active institution with 25 publications. The United States of America was the highly contributing and influential country in terms of publications (n = 203) and total link strength (n = 185).Conclusion:It was concluded that an increasing trend in the number of publications on vitamin D and COVID-19 has been observed. Significantly, the majority of the research has been conducted in developed countries. Most importantly, over the time, the direction of research has been changed and the recent trend topics are vitamin D deficiency, risk and infection, and vitamin D supplementation based on KeyWords Plus. The use of vitamin D supplement is one of the promising therapeutic options for COVID-19 treatment. Therefore, the current study not only highlight the global research trends but also provide standard bibliographic information for future studies.     

Bibliometric analysis of the 100 most-cited articles in the field of hepatology

ObjectiveBibliometric search of citation classics can function as a tool to identify extraordinary landmark articles and advanced research studies. We aimed to examine and characterize the 100 most-cited published articles in the field of hepatology.Patients and methodsA comprehensive list of the 100 most-cited articles published from 1950 to 2017 in the field of hepatology was compiled after searching the Web of Science with relevant terms, including “liver,” “hepatitis,” “hepatic,” “hepatocellular,” “hepatology,” “cirrhosis,” and “steatohepatitis.” The articles were ranked according to their citation counts and were evaluated for characteristics including country, institution, authorship, publication year, subspecialty and others.ResultsThe database search returned 323,291 articles associated with liver disease published between 1950 and 2017. The 100 most-cited articles were from 21 major journals, with the highest number of articles being published in Hepatology (n = 20). The average number of citations of the 100 most-cited articles was 1946.8; among these articles, the most frequently cited article received 5515 citations, and the least frequently cited article received 1155 citations. In total, 60 were original articles among the 100 most-cited articles. The most frequently represented specialties were hepatitis, hepatocellular carcinoma, and nonalcoholic fatty liver disease, which accounted for 53.3%, 23.3%, and 11.7% of these articles, respectively.DiscussionOur study identified citation classics and provided a review of the most advanced studies in the field of hepatology. This can help to guide clinical treatment and future academic research resulting in advancements in hepatology.     

The recent 10-year landscape of aortic dissection research: a bibliometric analysis

BackgroundWe aimed to comprehensively analyze all the literature related to aortic dissection (AD) in the past decade using Web Scrapping technology from PubMed, revealing the research dynamics in this field.MethodsData were retrieved and downloaded from PubMed with search strategy as “(aortic dissection [Title/Abstract]) AND (2010[EDAT]: 2020[EDAT])”. Information on the PMID, journal name, title, number of citations, publication year, authors, affiliations, abstract, study type, and keywords of the research was recorded.ResultsA total of 7,470 publications were identified. Most of the articles were published in J Thorac Cardiovasc Surg; Japan was the country with the largest publications number; the USA was far ahead of other countries regarding the highly cited studies; Yale University and Baylor College of Medicine took the first place for publishing most of the highly cited articles; the most frequently cited article is the 2014 ESC Guidelines on the diagnosis and treatment of aortic diseases; most of the clinical trials were published on J Vasc Surg; John A. Elefteriades ranked first by cumulative publication numbers; Christoph A. Nienaber took the lead by both cumulative citations and impact factors; Dianna M. Milewicz was the only female researcher on all the three ranking lists; the most common keywords in aortic dissection were Treatment Outcome and Retrospective Studies.ConclusionsThis study provides interesting insights into the AD scientific landscape in recent 10 years and generates some objective evidence for comprehensive understanding and evaluation of this field. This investigation may ultimately inform managers, researchers and policymakers.     

Predicting article citations using data from 100 top-cited publications in the field of Psoriasis Vulgaris and biological agents (PVBA) since 1991: A bibliometric analysis

Background:Psoriasis Vulgaris is a chronic inflammatory disease characterized by keratinocyte hyperproliferation. Bibliometric analysis helps determine the most influential article on the topic of “Psoriasis Vulgaris and biological agents (PVBAs)”, and what factors affect article citation remain unclear. This study aims (1) to identify the top 100 most cited articles in PVBA (PVBA100 for short) from 1991 to 2020, (2) to visualize dominant entities on one diagram using data in PVBA100, and (3) to investigate whether medical subject headings (MeSH terms) can be used to predict article citations.Methods:The top 100 most cited articles relevant to PVBA (1991–2020) were downloaded by searching the PubMed database. Citation analysis was applied to compare the dominant roles in article types and topic categories using pyramid plots. Social network analysis (SNA) and Sankey diagrams were applied to highlight prominent entities. We examined the MeSH prediction effect on article citations using its correlation coefficients.Results:The most frequent article types and topic categories were research support by institutes (46%) and drug therapy (88%), respectively. The most productive countries were the United States (38%), followed by Germany (13%) and Japan (12%). Most articles were published in Br J Dermatol (13%) and J Invest Dermatol (11%). MeSH terms were evident in the prediction power of the number of article citations (correlation coefficient=0.45, t=4.99).Conclusions:The breakthrough was made by developing one dashboard to display PVBA100. MeSH terms can be used for predicting article citations in PVBA100. These visualizations of PVBA100 could be applied to future academic pursuits and applications in other academic disciplines.     

The top 50 most cited articles in carpal tunnel syndrome research: A bibliometrics study

Background:Citation analysis was applied to identify the influential studies in the specific field. More and more literature related to carpal tunnel syndrome (CTS) have been published in recent years. To our knowledge, no one has performed a citation analysis of CTS. Thus, our study identified the top 50 influential articles pertaining to CTS and conduct an analysis of their characteristics.Methods:The Web of Science database was used to identify all the articles from 1900 to 2020. We obtained the top 50 articles ranked by citation times, and articles were included and excluded based on the relevance to CTS. Also, we collected the information about journal name, level of evidence, source country and institution, and research type for further analysis.Results:The top 50 articles were published between 1959 and 2012. The number of citations ranged from 151 to 1083. The citation density was between 3.23 and 40.27 per year. Muscle Nerve published most articles in CTS research, followed by Journal of Bone and Joint Surgery American Volume. The USA was the leading country, and all the top 5 institutions were from the USA. Katz JN with the highest h-index published most articles. Level III was the most common evidence level.Conclusions:We identified the top 50 cited articles related to CTS. These influential articles might provide researchers with a comprehensive list of the major contribution related to CTS research.     

Artificial intelligence with kidney disease: A scoping review with bibliometric analysis,PRISMA-ScR

Background:Artificial intelligence (AI) has had a significant impact on our lives and plays many roles in various fields. By analyzing the past 30 years of AI trends in the field of nephrology, using a bibliography, we wanted to know the areas of interest and future direction of AI in research related to the kidney.Methods:Using the Institute for Scientific Information Web of Knowledge database, we searched for articles published from 1990 to 2019 in January 2020 using the keywords AI; deep learning; machine learning; and kidney (or renal). The selected articles were reviewed manually at the points of citation analysis.Results:From 218 related articles, we selected the top fifty with 1188 citations in total. The most-cited article was cited 84 times and the least-cited one was cited 12 times. These articles were published in 40 journals. Expert Systems with Applications (three articles) and Kidney International (three articles) were the most cited journals. Forty articles were published in the 2010s, and seven articles were published in the 2000s. The top-fifty most cited articles originated from 17 countries; the USA contributed 16 articles, followed by Turkey with four articles. The main topics in the top fifty consisted of tumors (11), acute kidney injury (10), dialysis-related (5), kidney-transplant related (4), nephrotoxicity (4), glomerular disease (4), chronic kidney disease (3), polycystic kidney disease (2), kidney stone (2), kidney image (2), renal pathology (2), and glomerular filtration rate measure (1).Conclusions:After 2010, the interest in AI and its achievements increased enormously. To date, AIs have been investigated using data that are relatively easy to access, for example, radiologic images and laboratory results in the fields of tumor and acute kidney injury. In the near future, a deeper and wider range of information, such as genetic and personalized database, will help enrich nephrology fields with AI technology.     

Predicting the number of article citations on the topic of pemphigus vulgaris with the 100 top-cited articles since 2011: A protocol for systematic review and meta-analysis

Background:Pemphigus vulgaris (PV) is a rare autoimmune blistering disease characterized by intraepithelial and mucocutaneous blister formation and erosion. Numerous articles related to PV have been published. However, which articles have a tremendous influence is still unknown, and factors affecting article citation numbers remain unclear. We aimed to visualize the prominent entities using the top 100 most-cited articles on the topic of PV (T100PV), and investigate whether medical subject headings (i.e., MeSH terms) can be used to predict article citations.Methods:By searching the PubMed Central (PMC) database, the T100PV abstracts since 2011 were downloaded. Citation analysis was performed to compare the dominant entities in article topics, authors, and research institutes using social network analysis (SNA) and Kano diagrams. We examined the MeSH prediction power against article citations using correlation coefficients (CCs).Results:The most cited article (125 times) was authored by Ellebrecht from the University of Pennsylvania in the US. The most productive countries were Germany (28%) and the US (25%). Most articles were published in J Invest Dermatol (16%) and Br J Dermatol (10%). Kasperkiewicz (Germany) and the Normandie University (France) were the most cited authors and research institutes, respectively. The most frequently occurred MeSH terms were administration and dosage, immunology, and metabolism. MeSH terms were evident in the prediction power on the number of article citations (F = 19.77; P < .001).Conclusion:A breakthrough was achieved by developing dashboards to display the T100PV. MeSH terms can be used to predict the T100PV citations. These T100PV visualizations can be applied in future studies.     

Citation classics: Top 50 cited articles in ‘respiratory system’

Identifying citation classics in the field is one of the key methodologies used to conduct a systematic evaluation of research performance. The objective of this study was to determine the most frequently cited articles published in journals that are placed under the ‘respiratory system’ subject category (Institute for Scientific Information (ISI) Journal Citation Reports) and to compare them with the most frequently cited respiratory‐related articles published in any journal, regardless of subject category. The authors utilized the ISI Journal Citation Reports: Science Edition 2010 database in April 2012 to determine the most frequently cited articles by respiratory system subject category and by respiratory‐related keywords. The top 50 most‐cited articles were identified in each category and evaluated according to various characteristics. The majority of these papers originated from the United States. The median numbers of citations for the top 50 cited articles stratified by respiratory system subject category and respiratory‐related keywords were 841.5 and 2701, respectively. Half of the top 50 cited articles identified by respiratory‐related keywords were published in general medical or basic science journals, whereas only three out of these were published in journals under the respiratory system subject category in ISI Journal Citation Reports. In summary, respiratory‐related articles published in general medical or science journals attracted more citations than those published in the specific respiratory journals.     

Indian Publications on SARS-CoV-2: A bibliometric study of WHO COVID-19 database

Background & aimsNowadays, the whole World is under threat of Coronavirus disease (COVID-19). The ongoing COVID-19 pandemic has resulted in many fatalities and forced scientific communities to foster their Research and Development (R&D) activities. As a result, there is an enormous growth of scholarly literature on the subject. We here in this study have assessed the Indian publications contributions on COVID-19.MethodsWHO is curating global scientific literature on coronavirus since it declared COVID-19 a global pandemic through Global Research Database on COVID-19. The present study analyzed Indian publications on SARS-CoV-2 as found in WHO COVID-19 database. The research data was restricted for the period of March 2, 2020 to May 12, 2020.ResultsThe study found that there is a considerable and constant growth of Indian publications on COVID-19 from mid-April. It is interesting to note that, the most prolific authors belong to either AIIMS or ICMR institutes. Delhi state contributed highest number of publications on COVID-19. The AIIMS, New Delhi was the most productive institution in terms of publications. The Indian Journal of Medical Research has emerged as the productive journal contributing highest number of the publications. In terms of research area, the majority of the publications were related to Epidemiology.ConclusionsThe highly cited publications were of evidenced based studies. It is observed that the studies pertaining to virology, diagnosis and treatment, clinical features etc. have received highest citations than general studies on epidemiology or pandemic.     

Article and journal impact factor in various scientific fields

BackgroundWe tried to provide the scientific community with data to answer the following simple question: What proportion of publications in the various scientific fields is published in journals with impact factor above the median and mean values of the distribution of journal impact factor?MethodsWe analyzed and compared the distribution of the impact factor data reduced to the unit of science publication, the article. We calculated the proportion of articles published in journals with impact factor above the journal mean impact factor, journal median impact factor, and article mean impact.ResultsFor all categories examined, at the article level, the mean impact factor was higher than the median (by 13.7% to 500% for the various scientific categories). The mean impact factor of journals was considerably lower than the mean impact factor of articles (by 0.3 to 6.4 units). The proportion of articles that were published in journals with impact factor above the journals’ median impact factor was well above 50% in 17 of 19 scientific fields examined (all except mathematics and computer science).SignificanceOur analysis shows that in most scientific fields examined, it is quite easier to publish an article in the top 50% of journals (based on impact factor calculations) than it is for the article to be included in the top 50% of published articles (based on the assumption made regarding the article’ impact factor).     

Massive covidization of research citations and the citation elite

Massive scientific productivity accompanied the COVID-19 pandemic. We evaluated the citation impact of COVID-19 publications relative to all scientific work published in 2020 to 2021 and assessed the impact on scientist citation profiles. Using Scopus data until August 1, 2021, COVID-19 items accounted for 4% of papers published, 20% of citations received to papers published in 2020 to 2021, and >30% of citations received in 36 of the 174 disciplines of science (up to 79.3% in general and internal medicine). Across science, 98 of the 100 most-cited papers published in 2020 to 2021 were related to COVID-19; 110 scientists received ≥10,000 citations for COVID-19 work, but none received ≥10,000 citations for non–COVID-19 work published in 2020 to 2021. For many scientists, citations to their COVID-19 work already accounted for more than half of their total career citation count. Overall, these data show a strong covidization of research citations across science, with major impact on shaping the citation elite.

The COVID-19 pandemic resulted in a massive mobilization of researchers across science to address a new major challenge (1). It is estimated that ∼4% of the scientific literature published in 2020 to 2021 was related to COVID-19 (2): over 720,000 different scientists published over 210,000 relevant publications based on items indexed in Scopus as of August 1, 2021 (2). COVID-19–related published items exceeded 440,000 by the end of 2021 according to the WHO database (https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/; last accessed December 25, 2021).This shift of the research enterprise and massive production of COVID-19–related publications (“covidization”) may have had implications for citations to recent scientific work. In most scientific disciplines, most papers get few, if any, citations in the first year, and citations appear gradually, spread over many years, with citation half-lives that typically exceed 5 y for most scientific fields and may exceed 10 y for some fields (3–5). The half-life of the citation pattern for COVID-19 work is still unknown, given the short-term follow-up for the COVID-19 published papers. However, the hundreds of thousands of COVID-19 publications likely have drawn citations largely from other very recently published COVID-19 work. Conversely, for non–COVID-19 work, citations from very recent papers (<1 to 2 y old) are expected to have been a minority. Therefore, it is likely that a large share of citations to very recent work in 2020 and 2021 reflect citations to COVID-19 papers. The extent and distribution of such a COVID-19–enriched pattern of recent citations is worth studying for their implications in understanding the evolving cultural norms. Citations of more recent papers may represent reliance on less vetted, more tentative knowledge. Reliance on less-mature knowledge may be more susceptible to reversal, and a number of high-profile retractions have unnerved the scientific world in the COVID-19 era (6).Moreover, the massive COVID-19 literature and its citations may have had a major impact on the careers of many scientists. The possibility of receiving a large number of citations could be highly appealing to researchers whose careers are influenced by reputation and citation metrics. If covidization of research heralds a new approach to receiving citations, it may change the incentives of scientists motivated by the lure of such scientific rewards. This, in turn, may shift the work of young scientists away from more “gradualist” fields toward COVID-19. The appeal of working on COVID-19, in other words, may extend beyond its health challenges, skewing an important alignment between the burden of disease and interest by scientists.Here, we compare scientists’ acquisition of citations for COVID-19 and similarly recent non–COVID-19 work, characterize the profiles of scientists that had extraordinary boosts to their citation profiles, and assess whether COVID-19 citations correlated with overall career impact, or whether they had an independent impact in generating a new citation elite. We addressed these questions using comprehensive data from Scopus (7) from 2020 to 2021.     

The 100 most cited papers on thymic epithelial tumours: a bibliometric analysis

Bibliometric analysis can help us analyse the most influential papers, authors, research institutions in a discipline or topic and analyse the impact of these papers on a specific field. Our purpose is to identify the 100 most cited papers about thymic epithelial tumours (TETs) and analyse their key characteristics. We use certain search terms in the Web of Science database to identify the 100 most cited papers, and analysed the first author, country of the first author, institution, journal, type of paper, number of citations, and citation rate. The search returned 26,497 results. The top 100 papers received 17,674 citations. The most cited paper was by Masaoka et al. (n=1,190 citations), in which, clinical staging criteria are proposed for thymoma with special emphasis on the therapy and prognosis. The paper with the highest citation rate was also by Masaoka et al. (citations rate =30.51). Osaka University published the most papers (n=6) and accrued the highest number of citations (n=2,122 citations). The United States was the country with the most published papers (n=45) and the highest number of citations (n=7,991 citations). Cancer is the journal with the most published papers (n=19) and the highest number of citations (n=5,017 citations). Through the analysis of the most influential papers, this study provides a reference for researchers trying to understand TETs, thus providing guidance for future research.     

Seven decades of Ramadan intermittent fasting research: Bibliometrics analysis,global trends,and future directions

Background and aimsThere is a large body of research focused on various aspects related to Ramadan intermittent fasting (RIF) and human health and disease. This study aimed to quantify the bibliometric data of RIF medical research over the past seven decades and explore these variables qualitatively via text mining analysis.MethodsWe used the Scopus search engine to identify published articles related to RIF from inception to December 31, 2021. All types of research articles were included. Scientometric and bibliometric measures were determined using Excel, Biblioshiny, and VOSviewer. This study proposed a bibliometric and text mining method to qualitatively and quantitatively recognize the RIF research trend.ResultsThe Scopus search returned 1915 relevant articles. Most citations pertained to publications from the last two decades, and most publications were original research articles. These publications had received around 27,000 citations, and the 20 most prolific publishing journals had an average h-index of 112.25. More than one-third of all medical publications were in open-access journals. There was a 13-fold increase in medical research on RIF over the past few decades. We identified the 10 most prolific publishing countries, institutes, journals, and authors. We also identified five scientific hotspots of RIF scientific literature, which were: diabetes, metabolic health, public health, physiology, and maternity.ConclusionThis is the first comprehensive bibliometric analysis of medical research related to RIF. The research gaps identified will shape future research directions and foster collaborative research activities toward enhanced medical nutrition research revolving around RIF.     

Mapping of global research output in congenital cataracts from 1903 to 2021

Background and aim:Globally, congenital cataract remains one of the main causes of visual loss in children. This study was designed to plot the overall research output and evaluate some key bibliometric indicators in congenital cataracts research.Methods:Publications on congenital cataracts were retrieved from the Web of Science Core Collection database. The published literature was searched using the keywords “congenital cataract” OR “congenital cataracts” in the title filed with document types and language restrictions. The data were exported into HistCite to analyze; publication year, top authors, countries, institutions, journals, keywords, and most cited studies. VOSviewer software was used to construct network visualization mapping.Results:A total of 1427 publications (1903–2021) published in English language were included in this study. Over the past few decades, the total number of publications in congenital cataracts was found to be increased. The most productive year was 2016 (n = 72), while the most cited year was 1941 (1268 citations). The Investigative Ophthalmology & Visual Science (Impact Factor: 4.799) was the most attractive journal with 161 publications, and the Molecular Vision (Impact Factor : 2.367) was the most cited journal with 1915 citations and 161.723 citations per year. The most productive country was the United States of America (USA) (n = 325), while the most active institute was Sun Yat-sen University, China (n = 36). The most prolific author was Yao K (n = 27). The most studied Web of Science category was ophthalmology (n = 852). The most widely used keyword was congenital (n = 1427). The most cited paper in congenital cataracts was “Congenital cataract following German measles in the mother, cited 1268 times. The USA and author keyword congenital cataract had the highest total link strength.Conclusion:These findings provide useful insights, current status, and trends in clinical research in congenital cataracts. This study can be used to identify future research areas and standard bibliography references for better diagnosis and disease control.     

COVID-19 and diabetes: Analysis of the scientific production indexed in Scopus

Background and aimCOVID-19 has affected the world population, with a higher impact among at-risk groups, such as diabetic patients. This has led to an exponential increase in the number of studies related to the subject, although their bibliometric characteristics are unknown. This article aims to characterize the world scientific production on COVID-19 and diabetes indexed in Scopus.MethodsArticles on the subject were retrieved using a search strategy and bibliometric indicators of production, visibility, collaboration and impact were studied.ResultsThe total scientific production was 1956 documents, which have 35086 citations and an h-index of 67. Articles published in Diabetes and Metabolic Syndrome: Clinical Research and Reviews (n = 127), as well as those by researchers from the United States (n = 498) predominated. Articles by Chinese authors (n = 314) had the highest impact according to the received citations (n = 21757). India, China and Spain are leading countries in terms of the research in which they participate. There is extensive international scientific collaboration led by China, the United States and Italy.ConclusionThe volume of publications on COVID-19 and diabetes and their scientific impact show the incentive that the study of these diseases represents for the scientific community worldwide.