Kenneth S. Plante
- Infectious Diseases top 0.5%
- Public Health, Environmental and Occupational Health top 1%
- Molecular Biology
- Epidemiology top 10%
- Animal Science and Zoology top 2%
- Co-authors
- Scott C. WeaverJessica A. PlanteVineet D. MenacheryPei‐Yong ShiXuping XieCraig SchindewolfXianwen ZhangShannan L. Rossi
- Topics
- Mosquito-borne diseases and control (35 papers)Viral Infections and Vectors (29 papers)SARS-CoV-2 and COVID-19 Research (17 papers)
- Cited by
- Infectious DiseasesPublic Health, Environmental and Occupational HealthModeling and Simulation
- Partner nations
- United StatesBrazilFrance
In The Last Decade
Kenneth S. Plante
57 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Infectious Diseases 2.1k
- Public Health, Environmental and Occupational Health 1.2k
- Molecular Biology 469
- Epidemiology 303
- Animal Science and Zoology 227
Countries citing papers authored by Kenneth S. Plante
This map shows the geographic impact of Kenneth S. Plante'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 Kenneth S. Plante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth S. Plante more than expected).
Fields of papers citing papers by Kenneth S. Plante
This network shows the impact of papers produced by Kenneth S. Plante. 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 Kenneth S. Plante. The network helps show where Kenneth S. Plante may publish in the future.
Co-authorship network of co-authors of Kenneth S. Plante
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth S. Plante. A scholar is included among the top collaborators of Kenneth S. Plante 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 Kenneth S. Plante. Kenneth S. Plante is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 23 | |
| 6 | 9 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 62 | |
| 10 | 3 | |
| 11 | 21 | |
| 12 | The N501Y spike substitution enhances SARS-CoV-2 infection and transmissionbreakdown → | 341 |
| 13 | 73 | |
| 14 | 32 | |
| 15 | 52 | |
| 16 | The variant gambit: COVID-19’s next movebreakdown → | 189 |
| 17 | 28 | |
| 18 | 7 | |
| 19 | 15 | |
| 20 | 168 |
About Kenneth S. Plante
Kenneth S. Plante is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Virology, having authored 61 papers that have together received 2.8k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (35 papers), Viral Infections and Vectors (29 papers) and SARS-CoV-2 and COVID-19 Research (17 papers). The work is most often cited by research in Infectious Diseases (2.1k citations), Public Health, Environmental and Occupational Health (1.2k citations) and Modeling and Simulation (166 citations). Kenneth S. Plante has collaborated with scholars based in United States, Brazil and France. Frequent co-authors include Scott C. Weaver, Jessica A. Plante, Vineet D. Menachery, Pei‐Yong Shi, Xuping Xie, Craig Schindewolf, Xianwen Zhang, Shannan L. Rossi, Robert L. Seymour and Mark T. Heise. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.