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

Clara Martinez-Perez1, Cristina Alvarez-Peregrina1, Cesar Villa-Collar1

  • 1School of Biomedical and Health Science, Universidad Europea de Madrid, 28670 Madrid, Spain.

International Journal of Environmental Research and Public Health
|October 24, 2020
PubMed

Insights

This study analyzed COVID-19 publications, identifying key research areas and the most cited paper. Citation networks reveal the scientific landscape of the coronavirus disease (COVID-19) pandemic.

Area of Science:

  • Bibliometrics
  • Network Analysis
  • Scientific Communication

Background:

  • The emergence of COVID-19 in late 2019 led to rapid global spread, severely impacting countries like the US, Brazil, and Mexico.
  • Understanding the scientific response to COVID-19 is crucial for managing the pandemic.

Purpose of the Study:

  • To analyze publication and author relationships using citation networks.
  • To identify key research areas and the most influential publications on COVID-19.
  • To map the scientific discourse surrounding SARS-CoV-2.

Main Methods:

  • Searched Web of Science for "COVID-19" and "SARS-CoV-2" publications from January to July 2020.
  • Utilized Citation Network Explorer software for bibliometric analysis.
  • Applied clustering functionality to identify research groups.

Main Results:

  • 14,335 publications and 42,374 citations were analyzed.
  • June 2020 saw the highest publication output.
  • The most cited paper was "Clinical Characteristics of Coronavirus Disease 2019 in China" by Guan et al.
  • Nine distinct research clusters were identified, covering clinical course, psychology, treatment, and epidemiology.

Conclusions:

  • Citation network analysis provides an objective overview of significant COVID-19 research.
  • This method effectively maps the evolving scientific landscape of the pandemic.
  • Identifies foundational papers and emerging research themes in the COVID-19 field.
Abstract

Keywords:
COVID-19SARS-CoV-2pandemicpneumoniapublic health

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