Reviews in Medical Virology

1.3k papers and 51.3k indexed citations i.

About

The 1.3k papers published in Reviews in Medical Virology in the last decades have received a total of 51.3k indexed citations. Papers published in Reviews in Medical Virology usually cover Infectious Diseases (596 papers), Epidemiology (536 papers) and Immunology (181 papers) specifically the topics of Herpesvirus Infections and Treatments (178 papers), Cytomegalovirus and herpesvirus research (167 papers) and SARS-CoV-2 and COVID-19 Research (155 papers). The most active scholars publishing in Reviews in Medical Virology are Michael J. Cannon, Erik De Clercq, Aileen Kenneson, Yasutaka Hoshino, Norma Santos, D. Scott Schmid, Terri B. Hyde, Robert H. Purcell, Suzanne U. Emerson and David E. Ott.

In The Last Decade

Fields of papers published in Reviews in Medical Virology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Reviews in Medical Virology. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Reviews in Medical Virology.

Countries where authors publish in Reviews in Medical Virology

Since Specialization
Citations

This map shows the geographic impact of research published in Reviews in Medical Virology. 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 published in Reviews in Medical Virology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reviews in Medical Virology 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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