Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19)

Clara Martinez-Perez, Cristina Alvarez-Peregrina, Cesar Villa-Collar and Miguel Ángel Sánchez-Tena
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Clara Martinez-Perez: School of Biomedical and Health Science, Universidad Europea de Madrid, 28670 Madrid, Spain
Cristina Alvarez-Peregrina: School of Biomedical and Health Science, Universidad Europea de Madrid, 28670 Madrid, Spain
Cesar Villa-Collar: School of Biomedical and Health Science, Universidad Europea de Madrid, 28670 Madrid, Spain
Miguel Ángel Sánchez-Tena: School of Biomedical and Health Science, Universidad Europea de Madrid, 28670 Madrid, Spain

IJERPH, 2020, vol. 17, issue 20, 1-27

Abstract: Background: The first outbreaks of the new coronavirus disease, named COVID-19, occurred at the end of December 2019. This disease spread quickly around the world, with the United States, Brazil and Mexico being the countries the most severely affected. This study aims to analyze the relationship between different publications and their authors through citation networks, as well as to identify the research areas and determine which publication has been the most cited. Methods: The search for publications was carried out through the Web of Science database using terms such as “COVID-19” and “SARS-CoV-2” for the period between January and July 2020. The Citation Network Explorer software was used for publication analysis. Results: A total of 14,335 publications were found with 42,374 citations generated in the network, with June being the month with the largest number of publications. The most cited publication was “Clinical Characteristics of Coronavirus Disease 2019 in China” by Guan et al., published in April 2020. Nine groups comprising different research areas in this field, including clinical course, psychology, treatment and epidemiology, were found using the clustering functionality. Conclusions: The citation network offers an objective and comprehensive analysis of the main papers on COVID-19 and SARS-CoV-2.

Keywords: pandemic; COVID-19; public health; SARS-CoV-2; pneumonia (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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