Coronavirus Disease 2019–COVID-19
Impact in
Classified as
- Journal
- Clinical Microbiology Reviews
In The Last Decade
doi.org/10.1128/cmr.00028-20 →Countries where authors are citing Coronavirus Disease 2019–COVID-19
This map shows the geographic impact of Coronavirus Disease 2019–COVID-19. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Coronavirus Disease 2019–COVID-19 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Coronavirus Disease 2019–COVID-19 more than expected).
Fields of papers citing Coronavirus Disease 2019–COVID-19
This network shows the impact of Coronavirus Disease 2019–COVID-19. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Coronavirus Disease 2019–COVID-19.
About Coronavirus Disease 2019–COVID-19
This paper, published in 2020, received 1.3k indexed citations . Written by Kuldeep Dhama, Khan Sharun, Ruchi Tiwari, Shubhankar Sircar, Sudipta Bhat, Yashpal Singh Malik, Karam Pal Singh, Wanpen Chaicumpa, D. Katterine Bonilla‐Aldana and Alfonso Javier Rodriguez-Morales covering the research area of Infectious Diseases and Modeling and Simulation. It is primarily cited by scholars working on Infectious Diseases (554 citations), Modeling and Simulation (145 citations), Clinical Psychology (127 citations), Neurology (123 citations) and Economics and Econometrics (93 citations). Published in Clinical Microbiology Reviews.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/10.1128/cmr.00028-20.