The 100 Top-Cited Systematic Reviews/Meta-Analyses on Diabetic Research

Bibliometric Research in Neurosurgery: A Review of the 50 Most Cited Bibliometric Publications in the Neurosurgical Literature

Bibliometry is a popular research method that is used to explore and analyze large volumes of data in an effort to highlight trends, patterns, and impacts within a specific field. This review aimed at highlighting the characteristics and citation patterns of the high-impact bibliometric research studies that were published in the neurosurgical literature. Using PubMed and Google Scholar, the 50 (52 due to identical citation numbers for the lowest three articles) most cited bibliometric research publications were identified and reviewed. Information relating to the articles' publication and bibliometric features were retrieved. The articles' citation numbers were collected. The median article age and journal impact factor (IF) were eight years and 2.76, respectively. The majority of studies were published in World Neurosurgery and the Journal of Neurosurgery, which were the publishing journals for 18 (35%) and 12 (23%) articles, respectively. Twenty-six (50%) articles were first authored by researchers from the United States of America (USA). The highest bibliometric component was science mapping, which was the theme in 30 (58%) articles. The majority of the bibliometric focus was clinical topics/fields (22 (42%) articles) and neurosurgeons/departments (21 (40%) articles). The most popular bibliometric metric was the h-index (±variants), which was employed in 22 (42%) articles. The median size of analyzed data was 188, and the most frequently utilized databases were Scopus (22 (42%) articles) and Web of Science (21 (40%) articles). The median (range) citation numbers were 52 (29-238). The citation analysis showed significantly higher citation numbers for older articles (aged ≥ 8 years) and studies published in the Journal of Neurosurgery. The citation rates were not influenced by the size of the data, the searched databases, or the bibliometric features. In conclusion, the most cited bibliometric research publications in the neurosurgical literature were predominantly descriptive analyses of clinical topics/fields and performance analyses of neurosurgeons/departments. Their citation numbers were relatively modest and were positively influenced by the publication's age and by a specific publishing journal but not by the bibliometric features of the study. Bibliometric research provides useful analytic tools that can be utilized in review studies and other practical purposes such as scholarly practices and policy decision-making.

A bibliometric perspective to the most cited diabetes articles

Aim

This bibliometric analysis aims to evaluate the characteristics and impact of the top 100 cited articles published under the title of diabetes mellitus.

Metods

We performed to define the most cited articles in diabetes research by using the Web of Science. The papers were analyzed in terms of their year of publication, journal of publication, authors, impact factor (IF), total citations number, the average number of citations per year, studies topic, and type.

Results

The number of citations ranged from 1519 to 17.298. They were published from 1987 to 2018. The most cited articles were published in the New England Journal of Medicine (n = 26), followed by Diabetes Care (n = 17) and Lancet (n = 9). The original scientific paper was the most popular article type (46%), followed by review article (36%). The generality studies' subject was about treatment (n = 22), followed by pathogenesis (n = 19), etiology and risk factors (n = 16), diagnosis, screening, classification (n = 15), epidemiology (n = 11), prevention (n = 11) and complications (n = 6). There was a correlation between the average number of citations per year (ACpY) and IF (p = < 0.010, r = 0.259), citations and ACpY (p = < 0.001, r = 0.646), citations and time (p = 0.008, r = 0.266).

Conclusion

This study showed that original scientific papers were the most-cited and more articles were published in influential journals. Articles on diabetes treatment and pathogenesis were popular topics. Future interventions should focus on the management and prevention of diabetes.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-023-01199-0.

The 100 Top-Cited Studies on Loneliness: A Bibliometric Analysis

The present study explores characteristics of the top 100 most-cited articles on loneliness. A systematic search was carried out using the Thomson Reuters Web of Science Core Collection to collect studies on loneliness from inception to June 1, 2022. The initial search resulted in 6,250 search results, which included articles, book chapters, conference proceedings, editorials, and letters. Two authors independently screened the literature and extracted the data. The study supervisor removed any discrepancies. Top 100 papers (articles and reviews) on loneliness published in English were extracted. Data analysis and visualization were performed on Excel, Web of Science (WoS) Data Analyzer, and VOSviewer 1.6.16. The total number of citations of the 100 top-cited articles was 42,044, ranging from 203 to 2,201 per article. All of the studies were published from 1989 to 2021, and the years with the highest number of top-cited articles published were 2003 and 2008. Most publications were from the following journals: Computers in Human Behavior, Developmental Psychology, Psychological Science, Psychology, and Aging (n=4 each). The most cited article was titled "UCLA Loneliness Scale (Version 3): Reliability, validity, and factor structure" by Russell, DW, in the Journal of Personality Assessment. The most productive institute was the University of Chicago. The two most productive authors were Cacioppo, JT, and Hawkley, LC. Of the 100 top-cited publications, 87 were original articles and 13 were reviews. The top three WoS categories were psychology multidisciplinary, gerontology, and psychiatry. In total, 37 author keywords were elicited and further clubbed into eight distinct clusters. The study provides new insight into loneliness research, which may help doctors, researchers, and stakeholders achieve a more comprehensive understanding of trends and influential contributions to the field and highlight under-researched areas, which could be the basis for future investigation.

Mapping the desktop research in Pakistan: a bibliometric analysis

Purpose

This study aims to map the “Desktop Research” (DR) output in Pakistan, as part of the growing field of research globally. It also ascertains the productive institutions and prolific authors along with their collaboration patterns.

Design/methodology/approach

Bibliometric techniques were used to quantitatively analyze the DR published in Pakistan. The publications from 1981 to 2021 were retrieved from Scopus. A total of 1,802 publications were retrieved and used for analysis.

Findings

Results indicated an unpredictable increase in DR output from approximately 100 to 400 records during the past five years. The year 2020 was most productive in DR research showing the excess use of secondary data by researchers in COVID-19. The focus of researchers towards DR was consistently rising. Medical journals were found to publish DR extensively. Majority of the publications were contributed by collaborative work and researchers of the USA were found as the most collaborative with Pakistani authors. Publications of single category journals, open access journals and international collaboration get more citations.

Research limitations/implications

The results of the analysis rely only on a single database, Scopus, for retrieving the publication data.

Practical implications

The study has practical implications for the policymakers and higher education development organizations to introduce the DR as a course in academic schools.

Originality/value

To the best of the authors’ knowledge, this study is the first to review DR in the context of Pakistan through bibliometric analysis. This comprehensive overview provides a better understanding of the development of the field and possible practice implications.

The intellectual base and research fronts of IL-37: A bibliometric review of the literature from WoSCC

Background

IL-37 is a recently identified cytokine with potent immunosuppressive functions. The research fronts of IL-37 are worth investigating, and there is no bibliometric analysis in this field. The purpose of this study is to construct the intellectual base and predict research hotspots of IL-37 research both quantitatively and qualitatively according to bibliometric analysis.

Methods

The articles were downloaded from the Web of Science Core Collection (WoSCC) database from the inception of the database to 1 April 2022. CiteSpace 5.8.R3 (64-bit, Drexel University, Philadelphia, PA, USA) and Online Analysis Platform of Literature Metrology (https://bibliometric.com/) were used to perform bibliometric and knowledge-map analyses.

Results

A total of 534 papers were included in 200 academic journals by 2,783 authors in 279 institutions from 50 countries/regions. The journal Cytokine published the most papers on IL-37, while Nature Immunology was the most co-cited journal. The publications belonged mainly to two categories of Immunology and Cell Biology. USA and China were the most productive countries. Meanwhile, the University of Colorado Denver in USA produced the highest number of publications followed by Radboud University Nijmegen in the Netherlands and Monash University in Australia. Charles A. Dinarello published the most papers, while Marcel F. Nold had the most co-citations. Top 10 co-citations on reviews, mechanisms, and diseases were regarded as the knowledge base. The keyword co-occurrence and co-citations of references revealed that the mechanisms and immune-related disorders were the main aspects of IL-37 research. Notably, the involvement of IL-37 in various disorders and the additional immunomodulatory mechanisms were two emerging hotspots in IL-37 research.

Conclusions

The research on IL-37 was thoroughly reviewed using bibliometrics and knowledge-map analyses. The present study is a benefit for academics to master the dynamic evolution of IL-37 and point out the direction for future research.

The 100 Top-Cited Studies on Neuropsychology: A Bibliometric Analysis

Objective

The present study aimed to identify and analyze the bibliometric characteristics of the 100 top-cited studies on neuropsychology.

Methods

We searched the Web of Science Core Collection database to collect studies on neuropsychology from inception to 31st December 2019. Two authors independently screened the literature and extracted the data. Statistical analyses were performed using R software.

Results

The 100 top-cited articles were cited a total of 166,123 times, ranging from 736 to 24,252 times per article. All of the studies were published from 1967 to 2014 in 47 journals. Neuropsychologia had the highest number of articles (n = 17), followed by Neurology (n = 8). The top three most productive countries were the USA (n = 60), England (n = 13), and Canada (n = 8). Eight authors contributed the same number of studies as the first author (n = 2) or corresponding author (n = 2). The most productive institute was the University of California (n = 9), followed by the University of Pennsylvania (n = 4). Of the 100 top-cited publications, 64 were original articles, and 36 were reviews. The top three Web of Science categories were clinical neurology (n = 28), behavioral sciences (n = 19), and psychiatry (n = 11).

Conclusion

This study provides insight into the impact of neuropsychology research and may help doctors, researchers, and stakeholders to achieve a more comprehensive understanding of trends and most influential contributions to the field, thus promoting ideas for future investigation.