Highly-cited Papers Research Articles

Knowledge mapping and visualization of trends in immunotherapy for ovarian cancer over the past five years: a bibliometric analysis.

This study conducts a bibliometric literature analysis to explore trends in immunotherapy for ovarian cancer from 2019 to 2023. An extensive online literature search was conducted in the Web of Science Core Collection database to identify English-language articles and reviews related to "trends in immunotherapy", and "ovarian cancer". statistical analysis was performed using VOSviewer to visualize and compare nations, institutions, and journals simultaneously. Our findings highlight contributions by 118 nations, led by the People's Republic of China with 3,167 contributions; Germany followed with 558 and Italy having 547. Of all publications made between 2019-2023, "Frontiers Immunology" had the most publications with 546 total records followed by "cancers ", and "frontiers in oncology" being the most heavily relied upon categories. Annually publication trends increased until 2022 but then declined considerably as a peak of highly-cited papers occurring between 2019 and 2022. Our bibliometric analysis not only maps the evolution of immunotherapy research in ovarian cancer but also provides actionable insights for advancing scientific progress. By identifying emerging trends and key areas, future research can strategically enhance treatment strategies and outcomes for ovarian cancer patients.

A bibliometric and visual analysis of the research status and hotspots of seborrheic dermatitis based on web of science.

Seborrheic dermatitis (SD) is a common chronic inflammatory skin disease. In recent years, significant progress has been made in the field of SD, but there has been no bibliometric research yet. This study aims to use bibliometric methods to analyze the current research status and hot topics of SD, to understand further the research trends and future development prospects in this field. Retrieve core literature on SD from the Web of Science database and conduct a detailed analysis using CiteSpace and VOSviewer software based on factors such as publication volume, countries (regions), research institutions, journals, authors, highly-cited papers, and keywords. From 1996 to 2024, a total of 1436 publications were included in the bibliometric analysis. The number of publications has shown an increasing trend year by year. The USA is the leading country in this field of research. The University of California System is the primary research institution. The International Journal of Dermatology is the journal with the highest number of publications. The author Yang Won Lee has the highest number of publications, while the article "Seborrheic Dermatitis" (2004) by Gupta, A.K. has been cited the most. "Seborrheic dermatitis" is the most frequently occurring keyword. The main research hotspots and frontiers in SD are as follows: (1) The relationship between SD and other skin diseases is a popular research topic; (2) Malassezia and inflammation are current research hotspots in SD; and (3) Focusing on antifungal and anti-inflammatory treatments for SD is the current frontier direction in this field. This study is a summary of the current status and hot trends of SD research, which helps clinical doctors and researchers quickly understand the insights and valuable information of SD research and provides reference for clinical decision-making and finding future research directions.

The top 100 most-cited articles in dentistry by authors with Italian affiliation.

Analyzing highly-cited articles can provide a retrospective assessment of research evolution and predict future developments. The aim of this study was to carry out a bibliometric analysis of the 100 most-cited articles in dentistry by authors with an Italian affiliation. All the articles published in journals indexed under the Scopus category "Dentistry" and with at least one author affiliated to any Italian institution were searched in September 2022. The 100 most-cited articles were selected and relevant data were extracted and summarized. The analysis of co-authorship at country level and co-occurrence of keywords was carried out. The 100 most-cited articles were published between 1976 and 2020. The number of citations ranged from 235 to 1683, with a mean of 361. The series included 25 citation classics (>400 citations). The majority of articles were classified as expert opinion/narrative reviews (N.=47). Almost half of the articles refer to three predominant disciplines which were implantology, periodontology and restorative dentistry. Only two articles were single-authored. In 30 articles, all the authors had an Italian affiliation and the US was the most frequent country for non-Italian authors. Only one article was published in journals owned by a non-Italian publisher. The present series of highly-cited articles confirms the important role of Italy in dental research. We found an absence of correlation between the level of evidence and the number of citations and a non-homogeneous distribution of highly-cited papers in the different dental disciplines. The majority of articles included in the series shared international co-authorship and were published in high-impact journals.

Global research on type 1 diabetes: A bibliometric study during 2001-2022

Objective. Type 1 diabetes (T1D) publications have increased over the past three decades. However, there is no study to address and identify gaps in this area and to plan future research. This study aims to analyze the global scientific production of T1D in terms of overall structure and hotspots. Methodology. The research literature on T1D from 2001 to 2022 was obtained and examined from the Scopus database. We then performed bibliometric analysis and network visualization using MS Excel and VOSviewer software. Results and Discussion. The global T1D research comprised 20473 publications, which witnessed 6.19% and 58.91% annual average and 10-year cumulative growth during 2001-2022. These together received 596950 citations, with an average Citation Per Paper (CPP) of 29.16. Of the total global publications, 6030 (29.45%) received external funding support from international agencies and 19553 citations (with an average CPP of 32.43). The global publications were sourced from more than 150 countries and were published in 2665 journals by 63747 authors from 24899 organizations. There is an uneven distribution of countries, organizations, and authors in T1D research, wherein 88.37%, 45.15%, and 20.66% of the global literature was contributed by the top 12 countries and top 30 organizations and authors each. The most productive countries were the USA and UK, with a global share of 30% and 11.1% respectively. The most impactful countries were Finland and the UK regarding CPP & Relative Citation Index (RCI). The Barbara Davis Center for Childhood Diabetes, USA, and the University of Colorado Anschutz Medical Campus, USA, were the most productive organizations, with 735 and 679 publications. Jaeb Center for Health Research, USA (77.03 and 2.64) and Harvard Medical School, USA (67.42 and 2.31) were the most impactful organizations regarding CPP & RCI. Pediatric Diabetes (n=1447) and Diabetes Care (n=1191) were the most productive journals, with 1447 and 1191 papers. Diabetes and Diabetes Care registered the highest CPP (81.54 and 73.88 CPP). The most significant and frequently appearing keywords were “diabetes mellitus, type 1”) (92441), “insulin dependent diabetes mellitus” (95750), “metabolism” (24911), “genetics” (11229), “autoantibodies” (8942), “c peptide” (9931) and “pancreas islet beta cell” (7191). Only 5.54% (1134) of the global publications (considered highly-cited papers) received 100 to 4654 citations since their publications and registered a total of 220.28 CPP. Conclusion. This bibliometric study indicated that most of the contributions came from developed countries and only a meager contribution from developing countries, especially South Asia, despite a significant disease burden. This analysis provides a comprehensive overview of the present status of T1D research. It enables a better understanding of T1D research over the years. It should give the researchers structured information and a comprehensive analysis to help identify gaps in the research and the hot spots in this area of research.

Pediatric Type 1 Diabetes: A Bibliometric Analysis of the 100 Most-cited Publications

Abstract Background: The most impactful research on pediatric type 1 diabetes (T1D) remains unknown. Objective: We aimed to evaluate the characteristics and impact of the 100 most-cited articles on pediatric T1D. Materials and Methods: Using a predefined bibliometric strategy, the Scopus database was searched for high-cited papers (HCPs) published from 2001 to 2020. Articles were evaluated for data on the publication year, countries, authors, journals, topics, and types. Social network analysis was performed to visualize the interaction among countries, organizations, and authors using VOSviewer software. Results: The top 100 HCPs received 390 to 4634 citations, averaging 773.5 citations per paper (CPP). The funded HCPs (n = 50) had a higher impact (CPP 791.5). The majority of HCPs (n = 83) were collaborative. Classifying by research type, 65 studies were clinical (n = 65), risk factors (n = 27), epidemiology (n = 26), pathophysiology (n = 16), treatment outcome (n = 13), genetics (n = 12), complications (n = 3), quality of life (n = 2), and prognosis (n = 1). The number of authors involved was 1,101, affiliated with 545 organizations in 27 countries; the USA (n = 64) and the UK (n = 24) were the most productive countries, whereas Australia and the UK were the most impactful. D.M. Nathan and J.M. Lawrence were the most prolific authors, while P. Raskin and J.M. Lachin were the most impactful. Conclusions: High-income countries such as the USA, UK, and Australia contribute significantly to high-impact pediatric T1D research. Funding and collaboration improve the impact of citations in publications. Less researched areas such as treatment outcomes, genetics, complications, quality of life, and prognosis should be the focus of future research on pediatric T1D.

Bibliographic coupling networks of global research on data literacy by documents, sources and authors

This study was carried out to visualise the interconnectedness among research works in the field of Data Literacy documents, Sources and Authors, Identify clusters, nodes and key connections to understand the structural patterns within Data Literacy scholarly literature and determine the most influential and highly-cited papers, authors and journals within the bibliographic coupling networks. We specified the syntax ‘DATA LITERACY’. While it is obvious that there may be studies that have addressed this subject using other syntax, ‘Data Literacy’ will yield an appropriately representative sample of keywords in the area. The findings offer valuable insights into the landscape of research on data literacy, particularly in terms of the interconnections and influences among various scholarly works. Several discussions can be carried out based on these findings. The analysis identifies key documents that have significantly contributed to the development of research on data literacy. The analysis of publication years of identified documents offers insights into the temporal evolution of research on data literacy. This helps reveal shifts in research emphasis over time and highlights emerging areas of interest within the field.

Highly-Cited Papers on Fracture Non-union – A Bibliometric Analysis of the Global Literature (1990–2023)

Highly-Cited Papers on Fracture Non-union – A Bibliometric Analysis of the Global Literature (1990–2023)

Global Stem Cell Research in Orthopaedics: A Bibliometric Study from 1995 to 2020.

The research field of stem cell-based therapies in orthopaedics has witnessed significant growth in the recent past. We aimed to identify and analyze the bibliometric characteristics of the global highly cited papers (HCPs) in stem cell research in orthopaedics. This study relied on secondary data extracted from Scopus, Elsevier's abstract and citation database. An advanced search string was employed, for the period from 1995 to 2020. For each paper, the extracted information included the number of citations, title, authors (name, number, authorship position, and country), year of publication, title of the journals, study design, and thematic field. The VOSviewer (1.6.20) was used to uncover relationships between authors, institutions, keywords, and publications. There were a total of 1427 publications and out of these 186 papers had 100 or more citations (range 100-2644) and were considered as HCPs. The average citation per paper (CPP) was 265.8. Only 4% of the top HCPs contributed 20% of the total citations of all HCPs. All the HCPs were published from high-income countries, and the USA was the leading country in all aspects of publication on stem cell research. Méndez-Ferrer S registered the highest citation (n = 2644), Prockop DJ was the most prolific author (n = 8 papers), and Harvard Medical School, USA emerged as the most prolific organization with 12 HCPs. Global research in stem cell therapies for orthopaedic problems is making strides, and is an emerging field of research. Stem cell research offers the potential for improved treatment outcomes for various musculoskeletal conditions. The online version contains supplementary material available at 10.1007/s43465-024-01160-0.

COVID-19 Research Output from South Asia: A Scientometric Analysis of Highly Cited Papers

Background and Aims: Highly cited papers (HCPs) can influence both research and clinical practice. They help to identify core literature and important advances in a field. This study aimed to assess the current status and prospects of South Asia COVID-19 research from the HCPs using bibliometric indicators. Methodology: COVID-19 literature from South Asia published between December 2019 and 29 November 2023 in the Scopus database was analysed. The top HCPs, having more than 200 citations, were evaluated. Information about citation counts, authors and organisations and their affiliations, year of publication, source journal, geographical origin, subject, article type, funding details, etc. were retrieved and analysed. Data and visualisation analysis was undertaken using Microsoft Excel and other bibliometric software. Results: The 298 South Asia HCPs were published from 2020 to 2023 and were cited 200–3,596 times, with a mean average of 413.9 citations per paper (CPP). Around 24.5% and 51.3% of HCPs received external funding support and were involved in international collaboration, respectively. The most productive organisations were the Postgraduate Institute of Medical Education and Research, Chandigarh, and the Indian Institute of Technology, New Delhi, while the most impactful organisations were Bai Jerbai Wadia Hospital for Children, Mumbai, and Kokilaben Dhirubhai Ambani Hospital & Medical Research Institute, Mumbai. The most productive journals were Diabetes and Metabolic Syndrome: Clinical Research & Reviews. Conclusions: This study has identified core and significant authors, organisations, journals, subject fields and significant keywords, collaborators and funding agencies involved in South Asia’s COVID-19 research.

Anatomy of the top 1% most highly cited publications: An empirical comparison of two approaches

Abstract Scientific excellence is an ongoing object of quantitative analysis of science and technology literature. The most commonly adopted of the various criteria for such quantification is to define highly cited papers as the ones lying in the first percentile (top 1%) of citation counts. Wagner and colleagues have recently proposed a new method in which citation counts are determined as a whole, irrespective of discipline. This study analyzes the practical implications of the new approach compared to the traditional procedure in which papers are ranked bearing in mind the scientific field involved, with particular attention to the consequences for rankings by country and discipline. The results show that the new methodology favors countries with a predominance of polytechnical scientific production, technological development, and innovation and lowers the rank of countries where the social sciences, humanities, and basic research account for the lion’s share of output. An analysis of worldwide production confirms the growth of scientific output in technical and technological disciplines.

Authorship regulations in performance-based funding systems and publication behaviour – A case study of German medical faculties

This article investigates whether German medical faculties with different authorship regulations show different publication patterns. In 2004, the German Research Foundation (DFG) suggested a formula consisting of third-party funding, the cumulated JIF of publications and a fractional counting of publications to counteract the increasing inflation of author counts in medical publications. Whereas the third-party funding and the JIF are generally used in research evaluation without variation, the authorship regulation differs among medical faculties. We therefore compare medical faculties using the DFG model - to credit first and last authors with a higher share than middle authors - with those faculties that apply whole counting. We answer the question whether the faculties with the different counting methods also show different authorship and publication behaviour, i.e., authorship and collaboration patterns, the choice of journals (JIF level) and the citation impact (share of highly-cited papers). Findings indicate a clear trend of increasing co-author numbers and of middle-author papers, irrespective of authorship regulation. Publications with DFG model have only a slightly lower average author count and lower shares of middle-author papers than whole-counted publications. Our findings suggest that the DFG regulation has not resulted in a reduction of the number of authors, which was a major aim. Moreover, the results show that the use of whole counting goes together with higher productivity and higher impact, which may be a good reason to select that model.

H2CGL: Modeling dynamics of citation network for impact prediction

The potential impact of a paper is often quantified by how many citations it will receive. However, most commonly used models may underestimate the influence of newly published papers over time, and fail to encapsulate this dynamics of citation network into the graph. In this study, we construct hierarchical and heterogeneous graphs for target papers with an annual perspective. The constructed graphs can record the annual dynamics of target papers’ scientific context information. Then, a novel graph neural network, Hierarchical and Heterogeneous Contrastive Graph Learning Model (H2CGL), is proposed to incorporate heterogeneity and dynamics of the citation network. H2CGL separately aggregates the heterogeneous information for each year and prioritizes the highly-cited papers and relationships among references, citations, and the target paper. It then employs a weighted GIN to capture dynamics between heterogeneous subgraphs over years. Moreover, it leverages contrastive learning to make the graph representations more sensitive to potential citations. In particular, co-cited or co-citing papers of the target paper with large citation gaps are taken as hard negative samples, while randomly dropping low-cited papers could generate positive samples. Extensive experimental results on two scholarly datasets demonstrate that the proposed H2 CGL significantly outperforms a series of baseline approaches for both previously and freshly published papers. Additional analyses highlight the significance of the proposed modules. Our codes and settings have been released on Github. (https://github.com/ECNU-Text-Computing/H2CGL)

Nonparametric functional analysis under joint estimation with applications to identifying highly cited papers

This article introduces a nonparametric methodology combining the strengths of binary regression and latent variable formulations, while overcoming their disadvantages. The mathematical results are implemented through a novel Bayesian Hierarchical estimation methodology called Latent Adaptive Hierarchical Expectation Maximization Like algorithm. Requiring minimal assumptions, it extends extant methodologies, and in simulation studies gives better prediction and inference performances for asymmetric data generating processes. A new classification statistic, called Adjusted Receiver Operating Curve Statistic is also introduced. Utilizing it we demonstrate better overall model fit, inference and prediction performance of the proposed methodology over widely used existing methods in the sciences. In addition, the methodology can be used to perform model diagnostics for any model specification. This is a highly useful result, and it extends existing work for categorical model diagnostics broadly across the sciences. Furthermore, the mathematical results also highlight important new findings regarding the interplay of statistical significance and scientific significance. Finally, the methodology is applied to identifying highly-cited papers in the social sciences in a joint estimation framework. The results indicate that the methodology outperforms widely used existing artificial intelligence and machine learning models with very few Monte Carlo iterations. In Scientometric application, it finds Journal Impact Factor to be more important than Keyword Popularity parameters for explaining citation outcomes in select social science fields. It further finds that the percentage change in Published Popularity may also help to explain citation outcomes in the field. The findings appear to be new to the Scientometric field.

High-Cited Papers in Global COVID-19 Vaccine Research

High-Cited Papers in Global COVID-19 Vaccine Research

International Orthopaedics journal: A bibliometric analysis during 1977-2022

Objective. We aimed to examine the current research trends published by the International Orthopaedics (INOR) journal using bibliometric analysis.
 Design/Methodology/Approach. Using the Scopus database, we have retrieved all articles published by the International Orthopaedics journal from 1977 to 2022. The key players, such as countries, institutes, and authors, were identified, and their collaborative linkages were analyzed using MS Excel and VOSviewer software.
 Results/Discussion. We identified 7645 publications from 107 countries, of which 40 were from Europe and 32 from Asia. The most contributing countries were China, Germany, and France. The Netherlands, Canada, and Switzerland were the most impactful countries regarding citations. Hospital Henri Mondor (France) and IRCCS Rizzoli Orthopaedic Institute (Italy) were the most productive organizations. The most cited organizations were Harvard Medical School (USA) and Klinikum der Universität München (Germany). The most productive authors were Hernigou P (n=91) and Scarlat MM (n=56), and the most cited ones were Mont MA and Rouard H. The most active research areas were “Fracture Fixation” (n=1189), “Hip Arthroplasty” (n=1129), and “Osteosynthesis” (n=754). Hip received the most attention (n=2008), followed by Knee (n=1548), Spine (n=775), and Shoulder (n=517). 128 (1.67%) papers received >100 citations (high-cited papers or HCP) with an average of 150.11 citations per paper (CPP). Giannoudis PV and Mont MA published the maximum number of HCP.
 Conclusion. INOR has become a popular destination for global Orthopaedic researchers and is publishing their research from all the continents. The total number of publications in it has been progressively increasing and is receiving a more significant number of citations, thus helping to improve the journal's ranking and reputation.

Quantifying the influence of Indian optics research: An index based on three citation indicators

Objective: This study aimed to identify and analyse the characteristics of highly cited papers (HCPs) in optics publications from India indexed in the Web of Science Core Collection database over the past 30 years. The analysis focused on document types, annual production and citations per publication, journals, countries, institutes, authors, and the top cited papers. The study also evaluated the publication performance of institutions and compared citation indicators of the most frequently cited articles. Design/Methodology/Approach: The study used a bibliometric analysis approach and identified HCPs as documents cited 100 or more times by the Web of Science Core Collection from 1992 to 2021. Data were visualised using VOSviewer and Bibliometrix R packages. Citation indicators, including total citations and citations in 2021, were used to compare the most frequently cited articles. Results/Discussion: The results showed that most highly cited papers were published in journals with high impact factors. The USA was the dominant country in collaboration with India in optics publications. The papers by Agostinelli et al. (2003) were the most frequently cited, and the paper by Aghanim et al. (2020) was the most impactful in 2021. The study also found that the Indian Institute of Technology, Delhi, was the leading institution in the number of highly cited papers produced. Conclusions: This study provides insight into the characteristics and trends of highly cited papers in optics publications from India. The results highlight the importance of collaboration with the USA and the significance of publishing in high-impact factor journals. The study also indicates the need for institutions to focus on producing quality research to increase their publication performance and impact. Originality/Value: This study contributes to the literature on bibliometric analysis by comprehensively analysing highly cited papers in optics publications from India. The study also provides insights into the collaboration patterns and publication performance of institutions in India. The findings can be used to inform policies and strategies aimed at improving research productivity and impact in India.

High-Cited Papers in Global COVID-19 Vaccine Research

B.M. Gupta1, K.K. Mueen Ahmed2, Mallikarjun M Kappi3, Madhu Bansal4 and Jivesh Bansal4 Author informationArticle notesCopyright and License information 1Formerly with CSIR-NISTADS, New Delhi, INDIA 2Phcog.Net, No. 9, St. Thomas Town, Bengaluru, Karnataka, INDIA 3Government First Grade College, Jagalur, Karnataka, INDIA 4Panjab University Central Library, A. C .Joshi Library, Chandigarh, INDIA. Corresponding author. Correspondence: B.M.

Trends and hot topics in linguistics studies from 2011 to 2021: A bibliometric analysis of highly cited papers.

High citations most often characterize quality research that reflects the foci of the discipline. This study aims to spotlight the most recent hot topics and the trends looming from the highly cited papers (HCPs) in Web of Science category of linguistics and language & linguistics with bibliometric analysis. The bibliometric information of the 143 HCPs based on Essential Citation Indicators was retrieved and used to identify and analyze influential contributors at the levels of journals, authors, and countries. The most frequently explored topics were identified by corpus analysis and manual checking. The retrieved topics can be grouped into five general categories: multilingual-related, language teaching, and learning related, psycho/pathological/cognitive linguistics-related, methods and tools-related, and others. Topics such as bi/multilingual(ism), translanguaging, language/writing development, models, emotions, foreign language enjoyment (FLE), cognition, anxiety are among the most frequently explored. Multilingual and positive trends are discerned from the investigated HCPs. The findings inform linguistic researchers of the publication characteristics of the HCPs in the linguistics field and help them pinpoint the research trends and directions to exert their efforts in future studies.

The impact of library and information science knowledge from the perspective of external citations

PurposeThis paper aims to explore the characteristics of knowledge diffusion in library and information science (LIS) to reveal the impact of knowledge in LIS on other disciplines and the disciplinary status of LIS.Design/methodology/approachTaking the 573 highly cited papers (HCP) of LIS during the years 2000–2019 in Web of Science and 85,638 papers citing them from non-LIS disciplines as the analysis object, this paper analysed the disciplines to which the citing papers belonged regarding the Biglan model, and the topics and their characteristics of the citing disciplines using latent Dirichlet allocation topic clustering.FindingsThe results showed that the knowledge in LIS was exported to multiple disciplines and topics. (1) Citations from other disciplines were overall increasing, and the main citing disciplines, mainly from applied science disciplines, were medicine, computer science, management, economics, education, sociology, psychology, journalism and communication, earth science, engineering, biology, political science, chemistry and agronomy. However, those disciplines had fewer citations to LIS during for the years from 2000 to 2004, with rapid growth in the next three time periods. (2) The citing papers had various topics and showed an increasing trend in quantity. Moreover, topics of different disciplines from 2000 to 2019 had various characteristics.Originality/valueFrom the perspective of discipline and topic, this study analyses papers citing the HCP of LIS from non-LIS disciplines, revealing the impact of knowledge in LIS on other disciplines.

In-Cites research fronts and its relationship with citations per document and highly cited papers: Spanish universities as a case study

Research fronts (RFs) represent the most dynamic areas of science and technology and the topics that receive higher attention in a specific field. Their identification has become the focus of global scientific and technological competition. In this study, we performed an analysis of the In-Cites RFs from Web of Science (WoS) in seven Spanish universities as a case study in the period 2015–2019. Our purpose is threefold: (1) to develop a methodology for approximating the ‘alignment’ of scientific articles with the RFs, (2) to test if Highly Cited Papers (HCP) from these universities are more aligned with RFs than the rest of the output, and (3) to test if papers aligned with RFs receive more citations per document than those not aligned. The study uses a novel retrieval method, and the analysis is conducted using a coincidence method (comparison with a standard), in which Mann–Kendall’s test and Pearson’s correlation are used. The results show that there is alignment between output and the HCP and those better aligned, present greater mean ranks of citations per article. This study shows the usefulness of RFs for orienting the research priorities at the institutional level for the university.