Ivan M. Susloparov
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology 5
- Infectious Diseases top 5%
- Viral Infections and Vectors 19
- Viral gastroenteritis research and epidemiology 10
- Epidemiology top 10%
- Influenza Virus Research Studies 32
- Respiratory viral infections research 17
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- Bacillus and Francisella bacterial research 2
- Protein Structure and Dynamics 2
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- Yersinia bacterium, plague, ectoparasites research 2
- Co-authors
- Natalia KolosovaV. Yu. MarchenkoT. N. IlyichevaE. V. GavrilovaА. Б. РыжиковRinat А. MaksyutovА. М. ШестопаловKirill Sharshov
- Journals
- SHILAP Revista de lepidopterología (3 papers)PLoS ONE (3 papers)Emerging infectious diseases (1 paper)
In The Last Decade
Ivan M. Susloparov
33 papers receiving 409 citations
Peers
Comparison fields: 5 of 38
- Agronomy and Crop Science 187
- Infectious Diseases 291
- Epidemiology 410
- Modeling and Simulation 16
- Animal Science and Zoology 33
Countries citing papers authored by Ivan M. Susloparov
This map shows the geographic impact of Ivan M. Susloparov'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 M. Susloparov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan M. Susloparov more than expected).
Fields of papers citing papers by Ivan M. Susloparov
This network shows the impact of papers produced by Ivan M. Susloparov. 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 M. Susloparov. The network helps show where Ivan M. Susloparov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ivan M. Susloparov, 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 | 2023 | 7 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 12 | |
| 9 | 2018 | 15 | |
| 10 | 2018 | 32 | |
| 11 | 2018 | 1 | |
| 12 | 2017 | 24 | |
| 13 | 2016 | 8 | |
| 14 | 2016 | 36 | |
| 15 | 2016 | 4 | |
| 16 | 2016 | 17 | |
| 17 | 2013 | 14 | |
| 18 | 2012 | 4 | |
| 19 | 2012 | 33 | |
| 20 | 2011 | 17 |
About Ivan M. Susloparov
Ivan M. Susloparov is a scholar working on Infectious Diseases, Epidemiology and Agronomy and Crop Science, having authored 34 papers that have together received 436 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (32 papers), Viral Infections and Vectors (19 papers), Respiratory viral infections research (17 papers), Viral gastroenteritis research and epidemiology (10 papers), Animal Disease Management and Epidemiology (5 papers), Bacillus and Francisella bacterial research (2 papers), Protein Structure and Dynamics (2 papers) and Yersinia bacterium, plague, ectoparasites research (2 papers). The work is most often cited by research in Agronomy and Crop Science (187 citations), Infectious Diseases (291 citations) and Epidemiology (410 citations). Ivan M. Susloparov has collaborated with scholars based in Russia, Mongolia and China. Frequent co-authors include Natalia Kolosova, V. Yu. Marchenko, T. N. Ilyicheva, E. V. Gavrilova, А. Б. Рыжиков, Rinat А. Maksyutov, А. М. Шестопалов, Kirill Sharshov, G. S. Onkhonova and Olga G. Pyankova. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Emerging infectious diseases.
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.