Gennady Bocharov
- Modeling and Simulation top 0.2%
- Mathematical Biology Tumor Growth 32
- Virology top 1%
- HIV Research and Treatment 24
- Numerical Analysis top 5%
- Immunology top 5%
- Immune Cell Function and Interaction 33
- T-cell and B-cell Immunology 30
- Immunotherapy and Immune Responses 11
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- Mathematical and Theoretical Epidemiology and Ecology Models 57
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- Gene Regulatory Network Analysis 21
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- Evolution and Genetic Dynamics 18
- Co-authors
- Fathalla A. RihanAndreas MeyerhansA. A. RomanyukhaBurkhard LudewigTatyana LuzyaninaVitaly VolpertSimon Wain–HobsonStephan Ehl
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (1 paper)
- Partner nations
- RussiaSpainUnited Kingdom
In The Last Decade
Gennady Bocharov
142 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 150
- Modeling and Simulation 701
- Virology 491
- Numerical Analysis 234
- Immunology 825
- Public Health, Environmental and Occupational Health 790
Countries citing papers authored by Gennady Bocharov
This map shows the geographic impact of Gennady Bocharov'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 Gennady Bocharov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gennady Bocharov more than expected).
Fields of papers citing papers by Gennady Bocharov
This network shows the impact of papers produced by Gennady Bocharov. 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 Gennady Bocharov. The network helps show where Gennady Bocharov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gennady Bocharov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 0 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 12 | |
| 15 | 2021 | 19 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 8 | |
| 18 | 2020 | 5 | |
| 19 | 2016 | 12 | |
| 20 | 2011 | 29 |
About Gennady Bocharov
Gennady Bocharov is a scholar working on Modeling and Simulation, Virology and Immunology, having authored 155 papers that have together received 2.9k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (57 papers), Immune Cell Function and Interaction (33 papers), Mathematical Biology Tumor Growth (32 papers), T-cell and B-cell Immunology (30 papers), HIV Research and Treatment (24 papers), Gene Regulatory Network Analysis (21 papers), Evolution and Genetic Dynamics (18 papers) and Immunotherapy and Immune Responses (11 papers). The work is most often cited by research in Modeling and Simulation (701 citations), Virology (491 citations) and Numerical Analysis (234 citations). Gennady Bocharov has collaborated with scholars based in Russia, Spain and United Kingdom. Frequent co-authors include Fathalla A. Rihan, Andreas Meyerhans, A. A. Romanyukha, Burkhard Ludewig, Tatyana Luzyanina, Vitaly Volpert, Simon Wain–Hobson, Stephan Ehl, G. I. Marchuk and Reinhard Maier. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.