Global Virus Network

237 papers and 5.8k indexed citations i.

About

In recent decades, authors affiliated with Global Virus Network have published 237 papers, which have received a total of 5.8k indexed citations. Scholars at this organization have produced 144 papers in Infectious Diseases, 67 papers in Epidemiology and 58 papers in Public Health, Environmental and Occupational Health on the topics of Viral Infections and Vectors (56 papers), Mosquito-borne diseases and control (48 papers) and SARS-CoV-2 and COVID-19 Research (42 papers). Their work is cited by papers focused on Infectious Diseases (3.2k citations), Public Health, Environmental and Occupational Health (1.5k citations) and Epidemiology (1.3k citations). Authors at Global Virus Network collaborate with scholars in United States, Japan and Zambia and have published in prestigious journals including Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences. Some of Global Virus Network's most productive authors include Scott C. Weaver, Marc Lecuit, Naomi L. Forrester, Hirofumi Sawa, Mohammad M. Sajadi, Parham Habibzadeh, Yasuko Orba, Fernando Miralles‐Wilhelm, Augustin Vintzileos and Shervin Shokouhi.

In The Last Decade

Fields of papers published by authors at Global Virus Network

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Global Virus Network at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Global Virus Network at the time of their publication.

Countries citing scholars working at Global Virus Network

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Global Virus Network. 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 papers produced at Global Virus Network with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Global Virus Network more than expected).

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.

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