Ivan Stratov

2.7k citations
43 papers · 2.3k · h-index 27

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • HIV Research and Treatment 31
    • Immune Cell Function and Interaction 29
    • T-cell and B-cell Immunology 15

Ivan Stratov

42 papers receiving 2.2k citations

Peers

Ivan Stratov
Comparison fields: 5 of 80
  • Virology 1.1k
  • Immunology 1.2k
  • Infectious Diseases 493
  • Radiology, Nuclear Medicine and Imaging 333
  • Epidemiology 490
Replace Elizabeth Muchmore with:
Elizabeth Muchmore United States
Willy Bogers Netherlands
F Gotch United Kingdom
Colin Havenar‐Daughton United States
Jan‐Åke Liljeqvist Sweden
M B Oldstone United States
Stéphanie Jost United States
M Bendinelli Italy
Margaret R. Dalesandro United States
Anne‐Sophie Beignon France
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Citations per field
00.5×10×15×17.8×
Elizabeth Muchmore · 1×
Citations per year

Countries citing papers authored by Ivan Stratov

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Stratov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Stratov. 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 Ivan Stratov. The network helps show where Ivan Stratov may publish in the future.

Co-authors

The 25 scholars most cited alongside Ivan Stratov, 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 Ivan Stratov Line = papers co-authored together Ivan Stratov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001325
2 2013192
3 2005151
4 2012128
5 2011117
6 2011106
7 200884
8 200983
9 200468
10 200468
11 200368
12 201766
13 201260
14 200659
15 201154
16 200554
17 200849
18 201344
19 201243
20 201335

About Ivan Stratov

Ivan Stratov is a scholar working on Virology, Immunology, Epidemiology, Infectious Diseases and Molecular Biology, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (31 papers), Immune Cell Function and Interaction (29 papers), T-cell and B-cell Immunology (15 papers), HIV/AIDS Research and Interventions (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Herpesvirus Infections and Treatments (4 papers), HIV/AIDS drug development and treatment (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Virology (1.1k citations), Immunology (1.2k citations), Infectious Diseases (493 citations), Radiology, Nuclear Medicine and Imaging (333 citations) and Epidemiology (490 citations). Ivan Stratov has collaborated with scholars based in Australia, United States and Thailand. Frequent co-authors include Stephen J. Kent, Amy W. Chung, Gamze Isitman, S Davis, Peter C. McMinn, Lakshmi Nagarajan, Marit Kramski, Robert De Rose, Marjon Navis and Matthew S. Parsons. Their work appears in journals such as Journal of Virology, The Journal of Immunology, AIDS, Current HIV Research and Virology.

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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