Ivan V. Kuzmin
- Virology top 1%
- Infectious Diseases top 5%
- Public Health, Environmental and Occupational Health top 10%
- Genetics top 10%
- Microbiology top 2%
- Co-authors
- Charles E. RupprechtAmy S. TurmelleDaniel G. StreickerGary F. McCrackenMaarten J. VonhofG. HughesRalf G. DietzgenBernard Agwanda
- Topics
- Rabies epidemiology and control (13 papers)Viral Infections and Vectors (12 papers)Yersinia bacterium, plague, ectoparasites research (4 papers)
- Partner nations
- United StatesRussiaKenya
In The Last Decade
Ivan V. Kuzmin
21 papers receiving 993 citations
Peers
Comparison fields: 5 of 53
- Virology 558
- Infectious Diseases 471
- Public Health, Environmental and Occupational Health 266
- Genetics 243
- Microbiology 229
Countries citing papers authored by Ivan V. Kuzmin
This map shows the geographic impact of Ivan V. Kuzmin'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 V. Kuzmin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan V. Kuzmin more than expected).
Fields of papers citing papers by Ivan V. Kuzmin
This network shows the impact of papers produced by Ivan V. Kuzmin. 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 V. Kuzmin. The network helps show where Ivan V. Kuzmin may publish in the future.
Co-authorship network of co-authors of Ivan V. Kuzmin
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan V. Kuzmin. A scholar is included among the top collaborators of Ivan V. Kuzmin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivan V. Kuzmin. Ivan V. Kuzmin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 1 | |
| 3 | 39 | |
| 4 | 47 | |
| 5 | 23 | |
| 6 | Rhabdoviruses : molecular taxonomy, evolution, genomics, ecology, host-vector interactions, cytopathology and control | 64 |
| 7 | Updates on the diversity of the Lyssavirus genus | 2 |
| 8 | Taxonomy of rhabdoviruses | 5 |
| 9 | 49 | |
| 10 | 17 | |
| 11 | 102 | |
| 12 | 334 | |
| 13 | 42 | |
| 14 | 58 | |
| 15 | 36 | |
| 16 | 46 | |
| 17 | 32 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | 7 |
About Ivan V. Kuzmin
Ivan V. Kuzmin is a scholar working on Virology, Infectious Diseases and Microbiology, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Rabies epidemiology and control (13 papers), Viral Infections and Vectors (12 papers) and Yersinia bacterium, plague, ectoparasites research (4 papers). The work is most often cited by research in Virology (558 citations), Microbiology (229 citations) and Infectious Diseases (471 citations). Ivan V. Kuzmin has collaborated with scholars based in United States, Russia and Kenya. Frequent co-authors include Charles E. Rupprecht, Amy S. Turmelle, Daniel G. Streicker, Gary F. McCracken, Maarten J. Vonhof, G. Hughes, Ralf G. Dietzgen, Bernard Agwanda, Michael Niezgoda and Robert F. Breiman. Their work appears in journals such as Science, SHILAP Revista de lepidopterología 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.