Ivan Sobolev
Impact in
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
- Infectious Diseases top 5%
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
Papers in
- Epidemiology 40
- Influenza Virus Research Studies 33
- Respiratory viral infections research 15
- Virology and Viral Diseases 7
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- Viral Infections and Vectors 18
- Viral gastroenteritis research and epidemiology 6
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- А. М. Шестопалов (42 shared papers)Kirill Sharshov (37 shared papers)Olga Kurskaya (24 shared papers)А. Yu. Alekseev (21 shared papers)Мarsel R. Kabilov (8 shared papers)Victor Irza (4 shared papers)Dong‐Hun Lee (1 shared paper)Takehiko Saito (12 shared papers)
In The Last Decade
Ivan Sobolev
49 papers receiving 580 citations
Peers
Comparison fields: 5 of 57
- Agronomy and Crop Science 242
- Infectious Diseases 271
- Epidemiology 466
- Animal Science and Zoology 51
- Modeling and Simulation 15
Countries citing papers authored by Ivan Sobolev
This map shows the geographic impact of Ivan Sobolev'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 Sobolev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Sobolev more than expected).
Fields of papers citing papers by Ivan Sobolev
This network shows the impact of papers produced by Ivan Sobolev. 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 Sobolev. The network helps show where Ivan Sobolev may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Sobolev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 113 | |
| 2 | 1993 | 54 | |
| 3 | 2017 | 43 | |
| 4 | 2018 | 43 | |
| 5 | 2022 | 31 | |
| 6 | 2019 | 25 | |
| 7 | 2016 | 23 | |
| 8 | 2019 | 20 | |
| 9 | 2023 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2021 | 17 | |
| 12 | 2018 | 15 | |
| 13 | 2013 | 15 | |
| 14 | 2022 | 12 | |
| 15 | 2019 | 9 | |
| 16 | 2010 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2024 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2016 | 8 |
About Ivan Sobolev
Ivan Sobolev is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Molecular Biology and Animal Science and Zoology, having authored 51 papers that have together received 605 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (33 papers), Viral Infections and Vectors (18 papers), Respiratory viral infections research (15 papers), Animal Disease Management and Epidemiology (13 papers), Animal Virus Infections Studies (8 papers), Virology and Viral Diseases (7 papers), Viral gastroenteritis research and epidemiology (6 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Agronomy and Crop Science (242 citations), Infectious Diseases (271 citations), Epidemiology (466 citations), Animal Science and Zoology (51 citations) and Modeling and Simulation (15 citations). Ivan Sobolev has collaborated with scholars based in Russia, Japan and China. Frequent co-authors include А. М. Шестопалов, Kirill Sharshov, Olga Kurskaya, А. Yu. Alekseev, Мarsel R. Kabilov, Victor Irza, Dong‐Hun Lee, Takehiko Saito, Junki Mine and David E. Swayne. Their work appears in journals such as Viruses, Emerging infectious diseases, Infection Genetics and Evolution, Virology and PLoS ONE.
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.