Structure of Global Knowledge on Coronavirus

Main Article Content

Samira Daniali
Maryam Emami


Background: The aim of the present study was to investigate the structure of global knowledge on Coronavirus based on scientometric indicators as well as plotting a citation map to obtain more information in this regard.

Methods: The present research is applied in terms of objective and it is a descriptive study conducted using scientometric technique with a quantitative approach. The method of documentary or library studies was used to be acquainted with the history of the Coronavirus subject and theoretical foundations of research. In this study, all scientific products in the field of Coronavirus disease (including 6980 documents) were reviewed from 1985 to 2019 in Web of Science database(On April 10, 2020). VOS Viewer and Excel software were used for analysis to draw the citation map.

Results: With respect to Coronavirus, 20933 authors, 6980 documents, 1074 journals, 3683 institutions and finally 124 countries were involved in the production of documents in this field. Meanwhile, Yuen Kwok-yung produced 70 papers, received 3862 citations and ranked first among authors, Masters (2006a) had the first rank among documents, Journal of Virology was the top producer of documents, and University of Hong Kong was the top ranking institution. The United States, China, and the Netherlands were the first three countries in the field of Coronavirus document production.

Conclusions: The analysis results of Coronavirus citation network can be an effective step to better identify scientific products and track publications and ideas in this area for policymaking in line with treatment goals in the shortest possible time.

Scientometrics, coronavirus, COVID-19, scientific map.

Article Details

How to Cite
Daniali, S., & Emami, M. (2021). Structure of Global Knowledge on Coronavirus. Asian Journal of Research in Medicine and Medical Science, 3(1), 1-10. Retrieved from
Systematic Review Article


Lu Cw, Liu Xf, Jia Zf. 2019-nCoV transmission through the ocular surface must not be ignored. Lancet. 2020;395(10224):e39.

Karbaschi K, Aliari S. Coronavirus (Middle East Respiratory Syndrome). Journal of Nursing School of Islamic Republic of Iran Army. 2015;15(1):55-62.

Zaki AM, Boheemen S, Bestebroer TM, Osterhaus AD, Fouchier RA. Isolation of a novel coronavirus from a man with pneumonia in Saudi Arabia. N Engl J Med. 2012;367(19):1814–1820.

World Health Organization (WHO). Novel Coronavirus (2019-nCoV); 2020.

Molinari A, Molinari JF. Mathematical aspects of a new criterion for ranking scientific institutions based on the h-index. Scientometrics. 2008;75(2):339-56.

Ravikumar S, Agrahari A, Singh SN. Mapping the intellectual structure of scientometrics: A co-Word Analysis of the Journal scientometrics (2005-2010). Scientometrics. 2015;102(1):929-55.

Singh N, Brar RS, Chavan SB, Singh J. Scientometric analyses and visualization of a scientific outcome on the Nipah virus. Current Science (A Fortnightly Journal of Research). 2019; 117(10).

Johns Hopkins University.
Accessed on 14 March 2020

Gralinski EL, Menachery VD, Return of the Coronavirus: 2019-nCoV. Viruses. 2020; 12(2):135.
DOI: 10.3390/v12020135 [PMID].

Zhao S, Musa SS, Lin Q, Ran J, Yang G, et al. Estimating the unreported number of novel coronavirus (2019-nCoV) Cases in China in the First Half of January : A Data-Driven Modelling Analysis of the Early Outbreak. J. Clin. Med. 2010;9(2):388.
DOI: 10.3390/jcm9020388 [PMID]

Wang M, Cao R, Zhang L, et al. Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in-vitro. Cell Res; 2020.
DOI: 10.1038/s41422-020-0282-0 [PMID] [PMCID]

Birkle C, Pendlebury DA, Schnell J, Adams J. Web of Science as a data source for research on scientific and scholarly activity. Quantitative Science Studies. 2020;1(1):363–376.

Chen X, Chen J, Wu D, Xie Y, Li J. Mapping the research trends by co-word analysis based on keywords from funded project. Procedia Comput Sci. 2016;91: 547-55.

Lee PC, Su HN. Investigating the structure of regional innovation system research through keyword co-occurrence and social network analysis. Innovation: Management, Policy, and Practice. 2010; 12(1):26-40.

Liu GY, Hu JM, Wang HL. A co-word analysis of the digital library field in China. Scientometrics. 2012;91(1):203-217.

Makkizadeh F, Sa'adat F. Bibliometric and thematic analysis of articles in the field of infertility (2011-2015). International Journal of Reproductive Biomedicine (Yazd, Iran). 2017;15(11):719–728.

Van Eck NJ, Waltman L. Visualizing bibliometric networks. In Y Ding, R. Rousseau, D Wolfram (Eds). Measuring scholarly impact: Methods and practice. Springer; 2014.

Bonilla-Aldana DK, Quintero-Rada K, Montoya-Posada JP, Ramirez S, Paniz-Mondolfi A, Rabaan A, et al. SARS-CoV, MERS-CoV and now the 2019-novel CoV: Have we investigated enough about coronaviruses?-A bibliometric analysis. Travel medicine and Infectious Disease. 2020; 130:101566.
DOI: 10.1016/j.tmaid.2020.101566 [PMID].

Zyoud SH. Global research trends of Middle East respiratory syndrome coronavirus: A bibliometric analysis. BMC Infect Dis. 2016;16:255.
DOI: 10.1186/s12879-016-1600-5 [PMID]

Chahrour M, Assi S, Bejjani M, Ali A, Nasrallah A, Salhab H, et al. A Bibliometric analysis of COVID-19 research activity: A Call for Increased Output. Cureus. 2020;12(3):e7357.
DOI: 10.7759/cureus.7357

Sharifi A. Urban resilience assessment: Mapping Knowledge Structure and Trends Sustainability. 2020;12(15).
DOI: 10.3390/su12155918

Van Eck NJ, Waltman L. Software Survey: Vosviewer, a Computer Program for Bibliometric Mapping. Scientometrics. 2010;84(2).523-538.

Van Eck N, Waltman L. VOSviewer Manual for VOSviewer version 1.6.14 Leiden University; 2020.

Hirsch JE. hα: An index to quantify an individual's scientific leadership. Scientometrics. 2019;118:673-686.

Masters PS. The molecular biology of coronaviruses. Adv. Virus Res. 2006;66: 193–292.

Lai MMC, Cavanagh D. The molecular biology of coronaviruses. Adv Virus Res 48:1–100;1997.

Rota PA, et al. Characterization of a novel coronavirus associated with severe acute Respiratory Syndrome. Science. 2003;300: 1394–1399.

Ksiazek TG, et al. A novel coronavirus associated with severe acute respiratory syndrome. N. Engl. J. Med. 2003;348: 1953–1966.

Drosten C. et al. Identification of a novel coronavirus in patients with severe acute respiratorysyndrome. N. Engl. J. Med. 2003;348:1967–1976.

Marra MA, Jones SJ, Astell CR, Holt RA, Brooks-Wilson A, Butterfield YS, et al. The Genome sequence of the SARS-Associated Corona-virus. Science. 2003; 300:1399–1404.

Snijder EJ, Bredenbeek PJ, Dobbe JC, Thiel V, Ziebuhr J, Poon LL, et al. Uniqueand conserved features of genome and proteome of SARS-coron-avirus, an early split-off from the coronavirus group 2 lineage. Journal of Molecular Biology. 2003;331:991–1004.

Weiss SR, Navas-Martin S. Coronavirus pathogenesis and the emerging pathogen Severe Acute Respiratory Syndrome Coronavirus. Microbiology and Molecular Biology Reviews. 2005;69(4):665–334.
DOI:10.1128/mmbr.69.4.635-664.2005. [Crossref],
[PubMed], [Web of Science ®], [Google Scholar]

Peiris JSM, Lai ST, Poon LL, Guan M, Yam YLYC, Lim W, et al. Coronavirus as apossible cause of severe acute Respiratory Syndrome. Lancet. 2003;361: 1319–1325.

Li W, Moore MJ, Vasilieva N, Sui J, Wong SK, Berne MA, et al. Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus. Nature 2003;426:450–454.