Retrovirology

2.7k papers and 53.9k indexed citations i.

About

The 2.7k papers published in Retrovirology in the last decades have received a total of 53.9k indexed citations. Papers published in Retrovirology usually cover Virology (1.5k papers), Immunology (1.2k papers) and Infectious Diseases (787 papers) specifically the topics of HIV Research and Treatment (1.5k papers), HIV/AIDS drug development and treatment (566 papers) and T-cell and Retrovirus Studies (560 papers). The most active scholars publishing in Retrovirology are Ben Berkhout, Mark A. Wainberg, Masao Matsuoka, Jeremy Luban, Robin A. Weiss, Greg J. Towers, Kuan‐Teh Jeang, Antoinette C. van der Kuyl, Klaus Strebel and Robert C. Gallo.

In The Last Decade

Fields of papers published in Retrovirology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Retrovirology. 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 Retrovirology.

Countries where authors publish in Retrovirology

Since Specialization
Citations

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