Supriya Kumar
- Health top 2%
- Modeling and Simulation top 1%
- General Health Professions top 5%
- Molecular Biology
- Epidemiology
- Co-authors
- Sandra Crouse QuinnVicki S. FreimuthDonald MusaKelley M. KidwellKevin H. KimWei LuoJustine I. BlanfordAlan M. MacEachren
- Topics
- Influenza Virus Research Studies (8 papers)COVID-19 epidemiological studies (8 papers)Vaccine Coverage and Hesitancy (6 papers)
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Supriya Kumar
29 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 130
- Health 330
- Modeling and Simulation 270
- General Health Professions 269
- Molecular Biology 267
- Epidemiology 236
Countries citing papers authored by Supriya Kumar
This map shows the geographic impact of Supriya Kumar'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 Supriya Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supriya Kumar more than expected).
Fields of papers citing papers by Supriya Kumar
This network shows the impact of papers produced by Supriya Kumar. 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 Supriya Kumar. The network helps show where Supriya Kumar may publish in the future.
Co-authorship network of co-authors of Supriya Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Supriya Kumar. A scholar is included among the top collaborators of Supriya Kumar 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 Supriya Kumar. Supriya Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 37 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 28 | |
| 11 | 11 | |
| 12 | 160 | |
| 13 | 17 | |
| 14 | 202 | |
| 15 | 36 | |
| 16 | 134 | |
| 17 | 65 | |
| 18 | 209 | |
| 19 | 21 | |
| 20 | 30 |
About Supriya Kumar
Supriya Kumar is a scholar working on Modeling and Simulation, Health and Business and International Management, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), COVID-19 epidemiological studies (8 papers) and Vaccine Coverage and Hesitancy (6 papers). The work is most often cited by research in Modeling and Simulation (270 citations), Health (330 citations) and Cancer Research (196 citations). Supriya Kumar has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Sandra Crouse Quinn, Vicki S. Freimuth, Donald Musa, Kelley M. Kidwell, Kevin H. Kim, Wei Luo, Justine I. Blanford, Alan M. MacEachren, Yang Shen and Jian Lü. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and The EMBO Journal.
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.