Eugene V. Barsov

1.3k citations
28 papers · 1.1k · h-index 15

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 6
    • T-cell and B-cell Immunology 3
    • HIV Research and Treatment 12

Eugene V. Barsov

28 papers receiving 1.1k citations

Peers

Eugene V. Barsov
Comparison fields: 5 of 79
  • Virology 404
  • Immunology 325
  • Infectious Diseases 185
  • Genetics 203
  • Molecular Biology 458
Replace Farida Shaheen with:
Farida Shaheen United States
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Citations per field
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Citations per year

Countries citing papers authored by Eugene V. Barsov

Since Specialization
Citations

This map shows the geographic impact of Eugene V. Barsov's research. 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 Eugene V. Barsov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene V. Barsov more than expected).

Fields of papers citing papers by Eugene V. Barsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eugene V. Barsov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eugene V. Barsov. The network helps show where Eugene V. Barsov may publish in the future.

Co-authors

The 25 scholars most cited alongside Eugene V. Barsov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eugene V. Barsov Line = papers co-authored together Eugene V. Barsov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006374
2 1998175
3 201180
4 199355
5 201052
6 199639
7 201735
8 201134
9 199625
10 200124
11 201321
12 200718
13 200917
14 200817
15 201115
16 200513
17 202112
18 201611
19 200811
20 198810

About Eugene V. Barsov

Eugene V. Barsov is a scholar working on Immunology, Virology, Oncology, Genetics and Molecular Biology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), Immune Cell Function and Interaction (8 papers), CAR-T cell therapy research (8 papers), Virus-based gene therapy research (8 papers), Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Virology (404 citations), Immunology (325 citations), Infectious Diseases (185 citations), Genetics (203 citations) and Molecular Biology (458 citations). Eugene V. Barsov has collaborated with scholars based in United States, Russia and Spain. Frequent co-authors include Stephen H. Hughes, David E. Ott, Jeffrey D. Lifson, Lori V. Coren, Charles M. Trubey, Elena Chertova, James D. Roser, Oleg Chertov, Julian W. Bess and Thomas P. Conrads. Their work appears in journals such as Journal of Virology, Virology, PLoS ONE, Gene and Biomedicines.

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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