Countries where authors publish in Virus Evolution
Since Specialization
Citations
This map shows the geographic impact of research published in Virus Evolution. 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 Virus Evolution with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virus Evolution more than expected).
This network shows the impact of papers published in Virus Evolution. 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 Virus Evolution.
About Virus Evolution
The 780 papers published in Virus Evolution in the last decades have received a total of 18.9k indexed citations . Papers published in Virus Evolution usually cover Virology (103 papers), Infectious Diseases (345 papers), Animal Science and Zoology (148 papers), Endocrinology (63 papers) and Epidemiology (221 papers) specifically the topics of Plant Virus Research Studies (193 papers), Animal Virus Infections Studies (148 papers), Viral gastroenteritis research and epidemiology (125 papers), Bacteriophages and microbial interactions (109 papers), Viral Infections and Vectors (107 papers), SARS-CoV-2 and COVID-19 Research (92 papers), HIV Research and Treatment (86 papers) and Evolution and Genetic Dynamics (80 papers). The most active scholars publishing in Virus Evolution are Andrew Rambaut, Darren P. Martin, Ben Murrell, Brejnev Muhire, Michael Golden, Philippe Lemey, Guy Baele, Marc A. Suchard, Alexei J. Drummond and Daniel L. Ayres.
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.