Essential Science Indicators Research Articles

Exploring the changing landscape of medical imaging: insights from highly cited studies before and during the COVID-19 pandemic.

To investigate whether and how the COVID-19 pandemic has changed medical imaging trends by synthesizing the highly cited studies before and during the pandemic. In this cross-sectional study, we identified highly cited studies on medical imaging from the essential science indicators (ESI) database, categorizing them into two periods: before the pandemic (January 2016-December 2019) and during the pandemic (January 2020-December 2023). We conducted a global research landscape comparative analysis and utilized CiteSpace and VOSviewer software to create knowledge maps for analyzing the co-occurrences of keywords and references in this field. A total of 2914 highly cited studies were included in this study, which revealed a notable 30.1% increase in medical imaging publications during the pandemic. Enhanced international cooperation has been observed, with European countries and the US leading the research efforts. Keyword analysis revealed that artificial intelligence (AI) has remained a dominant hotspot in medical imaging research before and during the pandemic. References analysis showed a shift in focus towards COVID-19-related studies, overshadowing some important areas including cancer imaging, cardiac imaging, and neuroimaging. Over the past four years, the COVID-19 pandemic has led to changes in the research output, international collaborations, and hotspots within highly cited medical imaging studies. Navigating the post-COVID era, it is imperative to continue fostering international collaboration, prioritize resource allocation to refocus on overlooked research areas, and develop long-term strategic plans to prepare for and mitigate the impact of future public health crises. Question Understanding how the COVID-19 pandemic has changed medical imaging trends and priorities, which is crucial for preparing against future public health crises, remains unclear. Findings The COVID-19 pandemic has led to increases in highly cited medical imaging studies, enhancements in international collaborations, and shifts in research hotspots. Clinical relevance This study provides a comprehensive overview of highly cited studies on medical imaging before and during the pandemic, highlighting the pivotal role of AI in the post-COVID era and emphasizing the need to refocus on potentially neglected research areas.

Field‐specific gold open access dynamics in the Chinese mainland: Overviews, disparities, and strategic insights

AbstractGold Open Access (OA) journals are crucial for scholarly communication, highlighting the need for a thorough evaluation of their academic influence on different research fields. This study leverages the InCites platform to examine article‐level characteristics relating to 22 Essential Science Indicators (ESI) research fields, with a focus on the dynamics of gold OA articles, including gold OA uptake in the Chinese mainland and gold OA adoption in the domestic English‐language academic journal publishing of the Chinese mainland. The findings reveal that disparities in gold OA adoption across 22 ESI fields are more pronounced in the Chinese mainland compared with the world scenario. In the Chinese mainland, there is a significant polarization in gold OA publishing volumes across different ESI fields, particularly in Chemistry, Clinical Medicine, and Engineering. This study builds on the understanding of OA citation advantage (OACA) by incorporating gold OA publishing volume into a two‐dimensional framework, resulting in the development of a “distance” metric. It further categorizes gold OA citation effects into four quadrants: positive citation effects (quadrants A and B) and negative citation effects (quadrants C and D), based on category normalized citation impact (CNCI) and journal normalized citation impact (JNCI) indicators from the InCites database. The findings underscore the importance of developing tailored strategies to address field‐specific challenges and promote gold OA dynamics in the Chinese mainland; while prioritizing high‐quality gold OA journals is essential for fostering gold OA development in the rest of the world.

The impact of COVID-19 on infodemic research: a bibliometric analysis of global publications

PurposeObjective is to investigate the effects of COVID-19 on the performance and productivity of infodemic research. A comprehensive bibliometric analysis is conducted using data extracted from Thomson Reuters' Web of Science, and the analysis is facilitated by the bibliometrix and biblioshiny tools.Design/methodology/approachData was extracted from the Web of Science (WoS) database provided by Thomson Reuters. Therefore, literature published outside of the WoS database was not included. Results were extracted about the Document Type, Research Area, Language, Publication year, and country or countries for all authors because this study was interested in scholarly international collaboration. The researcher also used the Thomson Reuters Web of Science’s InCites Essential Science Indicators database, which allowed the researcher to measure the scientific output performance of countries over a period of time. In addition to InCites data, citation data and international collaboration for all countries were also downloaded.FindingsInclusion and exclusion criteriax: this study focused on literature published by authors identified by each author’s affiliation in each publication. Thus, the WoS topic field was searched by “infodemic” or “information epidemic” or “info ebidemic”. The time span selected for this study started from 2018 to 2022, allowing the researcher to survey the nature of the literature during the last 6 years before COVID-19 and 4 years after COVID-19 to identify the effects of COVID-19 on research in the world regarding both performance and productivity. The study included various types of materials, such as articles, early access, and review articles.Originality/valueA comprehensive bibliometric analysis is conducted using data extracted from Thomson Reuters' Web of Science, and the analysis is facilitated by the bibliometrix and biblioshiny tools. The findings reveal that prior to the COVID-19 outbreak, researchers contributed a total of 3,960 documents, with the United States leading with 2,933 publications, followed by China with 2,561. However, the production of infodemic research doubled following the onset of the pandemic, resulting in a total of 6,979 documents. Both before and after COVID-19.

Key trends in the development of global public health: 2021–2023

The purpose of the study was to create a list of key thematic trends in the subject area “public health” that had taken shape by the end of 2023. Achieving the goal involved solving two tasks: a review of foreign publications devoted to the analysis of key topics in public health in 2021–2023; and the generation and analysis of a sample of the most cited publications in the internationalized public health segment over the same period.Materials and methods. The formation of a collection of foreign publications devoted to the analysis of trends in the subject area “public health” for the period 2021–2023 was carried out using the PubMed search engine and the query (“TREND*”) AND (“PUBLIC HEALTH”). 59 most relevant publications were selected for review. To create a collection of highly cited publications in the internationalized segment in the field of public health, recorded in research fronts based on the results of 2023, the Clarivate analytical resource – Essential Science Indicators (ESI) was used.Research results. Integration of the results of two stages of the study (expert assessments and the thematic landscape of a sample of the most cited publications in the field of public health) revealed a complete coincidence of 7 out of 10 trends in the development of public health at the present stage. The frontiers of the thematic area under study included the following thematic areas: the sustainability of national health systems (1), the increase in the number of mental disorders (2), the increase in the use of psychoactive substances (3), the impact of climate change on morbidity (4), the impact of environmental pollution on morbidity (5), healthy eating and food safety (6), aging population (7), sexual and reproductive health disorders (8), road traffic injuries (9), digital transformation of health (10), cancer (11), diseases of the cardiovascular system (12), an increase in infectious morbidity (13).

Bibliometric analysis and visualization of top papers in dentistry from 2012 to 2022 based on essential science indicators.

This study aims to analyze and visualize the top dental papers from 2012 to 2022 using data from essential science indicators (ESIs). The present study was conducted using library and retrospective bibliometric analysis methods. Additionally, a science map has been created. Web of Science was searched on January 18, 2023. The results were limited to the top papers in ESIs. The bibliometric information of the top papers was evaluated. Next, the VOSviewer was used to perform a co-occurrence analysis and visualize data. The findings showed that Mariano Belén Sanz and Maurizio S. Tonetti were the top two authors. The University of London and the University of Bern had the highest number of articles. These articles were published in 55 journals. According to the analysis of keyword co-occurrence, the most frequently used keywords in the field of dentistry include "periodontitis," "dental implants," "periodontal disease," "mechanical properties," "peri-implantitis," "oral health," "dental caries," "dental materials," "3D printing." The findings of this study enable readers to pinpoint the authors, organizations, countries, and journals that have made the biggest contributions to the list of the most often cited dentistry papers. In medicine, bibliometric citation analysis is frequently used to assist researchers in learning the fundamentals of a subject and pinpoint subtopics of broad interest for additional study.

Bibliometric Analysis of Top Papers in Ecology Based on Essential Science Indicators during 2011–2021

Bibliometric Analysis of Top Papers in Ecology Based on Essential Science Indicators during 2011–2021

Global Trends in Highly Cited Studies in COVID-19 Research

Since the onset of the COVID-19 outbreak, an extremely high number of studies have been published worldwide, with variable quality. Research trends of highly cited papers may enable identification of influential research, providing insights for new research ideas; it is therefore important to investigate trends and focus on more influential publications in COVID-19-related studies. To examine research trends of highly cited studies by conducting a bibliometric analysis of highly cited studies in the previous 2 months about COVID-19. In this cross-sectional study, Essential Science Indicators (ESI) and Web of Science (WOS) Core Collection were used to find studies with a focus on COVID-19 that were identified as highly cited studies from Clarivate Analytics. Highly cited studies were extracted from the ESI database bimonthly between January 2020 and December 2022. Bibliographic details were extracted from WOS and combined with ESI data using unique accession numbers. The number of highly cited studies was counted based on the fractional counting method. Data were analyzed from January through July 2023. The number of publications by research field, country, and institutional affiliation. The number of published COVID-19-related highly cited studies was 14 studies in January to February 2020, peaked at 1292 studies in November to December 2021, and showed a downward trend thereafter, reaching 649 studies in November to December 2022. China had the highest number of highly cited studies per 2-month period until July to August 2020 (138.3 studies vs 103.7 studies for the US, the second highest country), and the US had the greatest number of highly cited studies afterward (159.9 studies vs 157.6 studies for China in September to October 2020). Subsequently, the number of highly cited studies per 2-month period published by China declined (decreasing from 179.7 studies in November to December 2020 to 40.7 studies in September to October 2022), and the UK produced the second largest number of such studies in May to June 2021 (171.3 studies). Similarly, the top 5 institutional affiliations in May to June 2020 by highly cited studies per 2-month period were from China (Huazhong University: 14.7 studies; University of Hong Kong: 6.8 studies; Wuhan University: 4.8 studies; Zhejiang University: 4.5 studies; Fudan University: 4.5 studies), while in November to December 2022, the top 5 institutions were in the US and UK (Harvard University: 15.0 studies; University College London: 11.0 studies; University of Oxford: 10.2 studies; University of London: 9.9 studies; Imperial College London: 5.8 studies). This study found that the total number of highly cited studies related to COVID-19 peaked at the end of 2021 and showed a downward trend until the end of 2022, while the origin of these studies shifted from China to the US and UK.

Citation advantage of COVID-19-related publications

With the global spread of the COVID-19 pandemic, scientists from various disciplines responded quickly to this historical public health emergency. The sudden boom of COVID-19-related papers in a short period of time may bring unexpected influence to some commonly used bibliometric indicators. By a large-scale investigation using Science Citation Index Expanded and Social Sciences Citation Index, this brief communication confirms the citation advantage of COVID-19-related papers empirically through the lens of Essential Science Indicators’ highly cited paper. More than 8% of COVID-19-related papers published during 2020 and 2021 were selected as Essential Science Indicators highly cited papers, which was much higher than the set global benchmark value of 1%. The citation advantage of COVID-19-related papers for different Web of Science categories/countries/journal impact factor quartiles was also demonstrated. The distortions of COVID-19-related papers’ citation advantage to some bibliometric indicators such as journal impact factor were discussed at the end of this brief communication.

Research trend the in meteorology and atmospheric sciences category based on essential science indicators during 2011–2021

This study analyzed 1,636 top papers in the subject category of meteorology and atmospheric sciences about eleven years from 2011 to 2021, which included 1,636 highly cited papers and 24 hot papers in the field belonged to 20 Web of Science categories and 14 research areas. All top papers, written in English, were from 13,878 authors, 2,913 organizations, and 124 countries or territories, and published in 72 journals in the field. The top five journals are the Nature Climate Change (15.9% of the studied paper), Atmospheric Chemistry and Physics (12.1%), Journal of Climate (7.0%), Bulletin of the American Meteorological Society (6.7%), and Journal of Geophysical Research Atmospheres (4.6%), each published more than 76 papers. Top five countries were the USA, England, PR China, Germany, and France. Furthermore, top five organizations of National Oceanic and Atmospheric Administration (NOAA), National Center for Atmospheric Research (NCAR), National Aeronautics and Space Administration (NASA), Chinese Academy of Sciences, and University Colorado were popular based on contribution of articles more than 134 papers each. All keywords were separated into eight clusters for different research topic. Visualizations offer exploratory information on the current state in a scientific field or discipline, as well as can indicate possible developments in the future.

Scientific activities, and extent of collaborative efforts in the top academic institutions of India : A scientometric study using Web of Science data

Using more than one lakh publication records from the Web of Science database, we tried to identify the scientific activity (publications, collaborations and citations), sectors of collaboration (University- Industry-Government), & subjects of collaboration in the top 10 NIRF ranked engineering institutes and universities in India. The study indicated that collaboration in different types of academic institutions has steadily increased from 2011 to 2020. Greater growth has been observed in domestic collaboration than foreign collaboration. The international collaboration network tends to be very dense with more advantageous countries. Although, international collaboration resulting in more citations, the fractional impact strength of domestic publications is better than foreign. The impact factor of the journal was observed to be a better predictor than the number of authors per article. University-University sector – mainly different departments of the same institute emerge as the predominant form of domestic collaborative research. While assessing the disciplinary output of the top 10 institutions by establishing a subject framework based on the Frascati Manual and Essential Science Indicator of Clarivate, it was observed that Civil, Mechanical & Electrical Engineering; Chemical, Material & Environmental Engineering; Chemical Sciences, and Theoretical aspects of Physics were the major fields amongst science disciplines with overall 52% of domestic and 48% of foreign collaboration.

Guest Editorial: Learning, optimisation and control of cyber‐physical systems

Guest Editorial: Learning, optimisation and control of cyber‐physical systems

Does cross-field influence regional and field-specific distributions of highly cited researchers?

Clarivate Analytics announces highly cited researchers (HCRs) every November to recognise true pioneers in their respective fields over the last decade who are one in 1000 according to citation analysis based on the Web of Science™ database. However, the scientometric rules underlying HCR selections have constantly evolved over the years; thus, a comparative study between HCRs’ academic relevance before and after 2018, when the cross field started to be included in HCR statistics, is essential. This paper evaluated the consistency of measurements in 2017 and 2018 by analysing HCR distributions by different regions and Essential Science Indicators (ESI) fields, studied the effects of introducing the cross-field category to the original 21 ESI fields, and portrayed the accurate picture of HCR distributions by region and subject without the influence of measurement biases. The cross field is believed to exert great impact on regional and field-specific HCR distributions, especially for research fields with HCR counts larger than 150. It was other countries and regions except the US and China that grew with the greatest momentum after the inclusion of cross-field HCRs.

Antibiotic resistant bacteria: A bibliometric review of literature.

Antibiotic-resistant bacteria (ARB) are a serious threat to the health of people and the ecological environment. With this problem becoming more and more serious, more countries made research on the ARB, and the research number has been sharply increased particularly over the past decade. Therefore, it is quite necessary to globally retrace relevant researches on the ARB published from 2010 to 2020. This will help researchers to understand the current research situation, research trends and research hotspots in this field. This paper uses bibliometrics to examine publications in the field of ARB from 2010 to 2020 that were retrieved from the Web of Science (WOS). Our study performed a statistical analysis of the countries, institutions, journals, authors, research areas, author keywords, Essential Science Indicators (ESI) highly cited papers, and ESI hotspots papers to provide an overview of the ARB field as well as research trends, research hotspots, and future research directions in the field. The results showed that the number of related studies is increasing year by year; the USA is most published in the field of ARB; China is the most active in this field in the recent years; the Chinese Acad Sci published the most articles; Sci. Total Environ. published the greatest number of articles; CM Manaia has the most contributions; Environmental Sciences and Ecology is the most popular research area; and "antibiotic resistance," "antibiotics," and "antibiotic resistance genes" were the most frequently occurring author keywords. A citation analysis showed that aquatic environment-related antibiotic resistance is a key research area in this field, while antimicrobial nanomaterial-related research is a recent popular topic.

Exploring the Ranking, Classifications and Evolution Mechanisms of Research Fronts: A Method Based on Multiattribute Decision Making and Clustering

This study aims to present a multiattribute decision-making (MADM) and clustering method to explore the ranking, classifications and evolution mechanisms of the research fronts in the Web of Science Essential Science Indicators (ESI) database. First, bibliometrics are used to reveal the characteristics of the 57 ESI research fronts with more than 40 ESI highly cited papers (ESI-HCPs) for each research front. Second, the eight representative indicators are discovered to get answers to the following two questions: (i) Who publishes the ESI-HCPs that form a research front? and (ii) Where citations to these ESI-HCPs come from on a research front? Next, we investigate the ranking and clusters among the 57 ESI research fronts using the MADM and [Formula: see text]-means clustering method and uncover the evolution process of the research fronts in different clusters based on the representative indicators. We also compare the performances of different countries in these research fronts and find that the USA and China are the leading countries in most research fronts. However, the two countries behave differently with regard to the rankings, the classifications and the evolution.

Worldwide bilateral geopolitical interactions network inferred from national disciplinary profiles

A disciplinary profile of a country is defined as the versor whose components are the number of papers produced in a given discipline divided by the overall production of the country. Starting from the Essential Science Indicators (ESI) schema of classification of subject areas, we obtained the yearly disciplinary profiles of a worldwide graph, where on each node sits a country, in the two time intervals 1988--1988 and 1992--2017, the fall of the Berlin Wall being the watershed. We analyze the empirical pairwise cross-correlation matrices of the time series of disciplinary profiles. The contrast with random matrix theory proves that, beyond measurement noise, the empirical cross-correlation matrices bring genuine information. Arising from the Shannon theorem as the least-structured model consistent with the measured pairwise correlations, the stationary probability distribution of disciplinary profiles can be described by a Boltzmann distribution related to a generalized ${n}_{d}$-dimensional Heisenberg model. The set of network interactions of the Heisenberg model has been inferred and to it, two clusterization methods, hierarchical clustering, and principal component analysis have been applied. This allows obtaining a characterization of the worldwide bilateral interactions based on physical modeling. A simple geopolitical analysis reveals the consistency of the results obtained and gives a boost to a deeper historical analysis. In order to obtain the optimal set of pairwise interactions, we used a pseudolikelihood approach. We analytically computed the pseudolikelihood and its gradient. The analytical computations deserve interest in whatever inference Bayesian problem involving an ${n}_{d}$-dimensional Heisenberg model.

The interdisciplinarity of research data: How widely is shared research data reused in the STEM fields?

The aim of this study was to examine the interdisciplinarity of research data in the science, technology, engineering, and mathematics (STEM) fields. The findings revealed that interdisciplinarity was not distributed evenly across journals serving the STEM fields. Based on the diversity of the references as measured by the Gini coefficient index, the mathematical sciences showed the greatest inequality, followed by astronomy/physics, the earth sciences, the biological sciences, and technology. Based on the number of Essential Science Indicator (ESI) fields, the biological sciences showed the greatest variety, followed by the earth sciences, technology, the mathematical sciences, chemistry, and computing, while engineering showed no variety. Lastly, based on the Leydesdorff interdisciplinarity formula outcomes, the earth sciences showed the greatest diversity, but earth sciences articles were cited in articles in fewer fields than biological sciences articles. This study contributes to the study of interdisciplinary data citation for data sharing and reuse in STEM fields with respect to the measurement of the balance, variety, and diversity of research data.

Trends and hot topics in radiology, nuclear medicine and medical imaging from 2011-2021: a bibliometric analysis of highly cited papers.

PurposeTo spotlight the trends and hot topics looming from the highly cited papers in the subject category of Radiology, Nuclear Medicine & Medical Imaging with bibliometric analysis.Materials and methodsBased on the Essential Science Indicators, this study employed a bibliometric method to examine the highly cited papers in the subject category of Radiology, Nuclear Medicine & Medical Imaging in Web of Science (WoS) Categories, both quantitatively and qualitatively. In total, 1325 highly cited papers were retrieved and assessed spanning from the years of 2011 to 2021. In particular, the bibliometric information of the highly cited papers based on WoS database such as the main publication venues, the most productive countries, and the top cited publications was presented. An corpus was built to help identify the most frequently explored topics. VoSviewer was used to visualize the co-occurrence networks of author keywords.ResultsThe top three active journals are Neuroimage, Radiology and IEEE T Med Imaging. The United States, Germany and England have the most influential publications. The top cited publications unrelated to COVID-19 can be grouped in three categories: recommendations or guidelines, processing software, and analysis methods. The top cited publications on COVID-19 are dominantly in China. The most frequently explored topics based on the corpus and the author keywords with the great link strengths overlap to a great extent. Specifically, phrases such as magnetic resonance imaging, deep learning, prostate cancer, chest CT, computed tomography, CT images, coronavirus disease, convolutional neural network(s) are among the most frequently mentioned.ConclusionThe bibliometric analysis of the highly cited papers provided the most updated trends and hot topics which may provide insights and research directions for medical researchers and healthcare practitioners in the future.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11604-022-01268-z.

Characteristics of Articles Published in Different Quartiles: A Bibliometric Analysis of Sport and Exercise Psychology Journals

Background. The purposes of this study were to determine the quantitative characteristics of the articles published in sports and exercise psychology journals in four quartiles of Web of Science and to understand whether these characteristics had any effect on citation.
 Methods. Sport and exercise psychology journals indexed under the Sport Sciences subject category were included in the study. A total of 172 articles published in 2017, which was the most recent date meeting inclusion criteria, were collected from four sport and exercise psychology journals included: Psychology of Sport and Exercise (Q1), Journal of Sport and Exercise Psychology (Q2), Sport Psychologist (Q3), and International Journal of Sport Psychology (Q4).
 Results. The articles published in Q1 journal were multi-institutional and multinational. Besides, they had longer abstracts and discussions and cited more references. The results revealed that multinational articles and articles with structured abstracts had higher citations than single country articles and articles with unstructured abstracts. The number of affiliated countries and references, and longer titles, abstracts, and introductions were found significantly associated with the number of citations. The bibliometric analysis indicated that the UK, the USA, and Canada were the major contributing countries.
 Conclusion. This study is the first attempt to investigate the characteristics of articles published in different WoS quartiles within the field of sports and exercise psychology. The findings of the study may help researchers to improve their citation count.
 Keywords: scientific productivity, essential science indicators, journal impact factor, Web of Science, scientometrics.

Trend and status of Food Science and Technology category based on the Essential Science Indicators during 2011 – 2021

Based on the Essential Science Indicators database, this study analyzed 2,886 top papers in the subject category of Food Science and Technology from January 2011 to June 2021. The 2,886 top papers include 2,882 highly cited papers and 56 hot papers. All papers written in English, were from 10,698 authors, 2,666 organizations and 115 countries/territories, published in 106 journals and two book series in the field. The top five Journals are Food Chemistry, Food Hydrocolloids, Trends in Food Science Technology, Critical Reviews in Food Science and Nutrition and Journal of Agricultural and Food Chemistry. The top six countries and regions were Peoples R China, USA, Spain, Italy, Brazil and India. The top six organizations of Jiangnan University, University of Massachusetts, South China University of Technology, Zhejiang University, Jiangsu University and University of Valencia were popular based on contribution of articles more than 45 papers each. The top five authors were Mcclements David Julian, Sun Da-Wen, Barba Francisco J., Lorenzo Jose M. and Zhang Min. All keywords were separated seven clusters for different research topic. Visualizations offer exploratory information on the current state in a scientific field or discipline as well as indicate possible developments in the future.

High-Cited Papers in Covid-19: A Scientometric Assessment of Global Literature Using Essential Science Indicators Database

<p style="text-align: justify;"><strong>Introduction:</strong> The rapid production of a large volume of literature during the last 2-3 phases of the Covid-19 disease outbreak created a substantial burden for clinicians and scientists. Therefore, this paper provides a bibliometric overview on the high-cited papers indexed in the ESI database in the field of Covid-19, during 2020-21, focusing on the research domain and keywords, main actors (countries, organizations and authors) and main sources of publications. <strong>Methods:</strong> The Essential Science Indicators (ESI) database is widely used to assess scientific outputs. ESI include highcited papers that have received enough citations to place them in the top 1% when compared to all other papers published in the same year in the same field. High-cited papers are defined as papers receiving 100 or more citations since their publication. Therefore, high-cited papers included in ESI database are of high-quality in each field and therefore used in this study. A bibliometric analysis based on 848 high-cited papers extracted from the Essential Science Indicators database was carried out to provide insights into performances and research characteristics of Covid-19 literature. Indicators were applied to evaluate the influence of the most productive journals, countries/territories, organizations and authors. Social network analysis was performed to evaluate and visualize the interaction among productive countries/territories, organizations, authors and keywords using VOSviewer software.<strong> Results:</strong> The results showed that the 848 high-cited papers received 244699 citations were from 9734 authors employed at 2607 organizations based in 101 countries/territories. The papers were published in 369 journals in the field. The top 5 core journals ranked based on: (i) total papers were New England Journal of Medicine (37), Science of the Total Environment (35), Science (28), The Lancet (21) and Nature (18) and (ii) total citations were New England Journal of Medicine (28173), Lancet (17128), JAMA-Journal of the American Medical Association (9603), International Journal of Antimicrobial Agents (5865) and Nature Medicine (5659). The top 5 organizations ranked on (i) total papers were Huazhong University of Science &amp; Technology (42), Harvard Medical School, USA (41), University of Oxford, U.K. (31), University of Cambridge, U.K. (25) and London Global University (UCL)(25) and (ii) total citations were Huazhong University of Science &amp; Technology, China (32563), University of Hong Kong (17868), Tsinghua University, China (15827), University of Oxford (13802) and Guanzhou Medical University, China (13155). The top 5 authors ranked on: (i) total papers were Y. Zhang (15), Y. Hu (14), L. Liu (14), J,. Wang (14) and Y. Liu (13) and (ii) total citations were Y. Liu (23285), J. Xiang (.20391), Y. Hu (18804) and Y. Zhang (16495). The top five countries ranked on : (I) total papers were USA (336), China (222), U.K. (153), Italy (90) and Germany (74) and (ii) total citations were China (114620), USA (88474), U.K. (46535), Italy (24546) and Germany (24028).Based on network map using VOSviewer, there were micro, meso and macro level collaborations based on common interests in a specific topic. Analysis of all keywords showed that the research was distributed into 6 clusters. <strong>Conclusion:</strong> Results obtained from this study can provide valuable information for researchers to better identify present and future hotspots in Covid-19-related fields. The most relevant literature on the Covid-19 pandemic will also provide information relevant to the evidence-based decision-making process and future studies are essential to gain precise knowledge on Covid-19 infection across various human organs and various sub-fields and sectors. <p style="text-align: justify;"><strong>Key words:</strong> Covid-19, High-Cited Papers, ESI, Global Papers, Bibliometrics, Scientometrics.