Ivan V. Kuzmin

5.9k citations
54 papers · 3.1k indexed · h-index 28
Topics
Rabies epidemiology and control (45 papers)Viral Infections and Vectors (26 papers)Microbial infections and disease research (18 papers)

In The Last Decade

Ivan V. Kuzmin

54 papers receiving 3.0k citations

Peers

Ivan V. Kuzmin
Comparison fields: 5 of 81
  • Virology 1.8k
  • Infectious Diseases 1.7k
  • Epidemiology 911
  • Public Health, Environmental and Occupational Health 831
  • Microbiology 783
Replace Michael Niezgoda with:
Michael Niezgoda United States
Daniel L. Horton United Kingdom
Conrad M. Freuling Germany
Ashley C. Banyard United Kingdom
Wanda Markotter South Africa
Amy T. Gilbert United States
Lorraine M. McElhinney United Kingdom
Hervé Bourhy France
B. Brochier Belgium
Naoto Ito Japan
Ivan V. Kuzmin relative to Michael Niezgoda United States Michael Niezgoda's profile →
Citations per field
00.5×1.5×
Michael Niezgoda · 1×
Citations per year

Countries citing papers authored by Ivan V. Kuzmin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed citations
1 6
2 87
3 7
4 14
5 16
6 14
7 24
8 131
9 74
10 75
11 141
12 141
13 20
14 22
15 84
16 38
17 62
18 34
19 127
20 130

About Ivan V. Kuzmin

Ivan V. Kuzmin is a scholar working on Virology, Microbiology and Infectious Diseases, having authored 54 papers that have together received 3.1k indexed citations. Recurring topics across this work include Rabies epidemiology and control (45 papers), Viral Infections and Vectors (26 papers) and Microbial infections and disease research (18 papers). The work is most often cited by research in Virology (1.8k citations), Microbiology (783 citations) and Infectious Diseases (1.7k citations). Ivan V. Kuzmin has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Charles E. Rupprecht, Michael Niezgoda, Robert F. Breiman, Lillian A. Orciari, Alexandr D. Botvinkin, Wanda Markotter, Thomas G. Ksiazek, Suxiang Tong, M. Jahangir Hossain and Vincent Hsu. Their work appears in journals such as Nature Communications, PLoS ONE and Annals of Neurology.

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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