Supriya Kumar
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Health top 2%
- Vaccine Coverage and Hesitancy
Papers in
- Health 6
- Vaccine Coverage and Hesitancy 5
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- RNA Research and Splicing 4
- Co-authors
- Sandra Crouse Quinn (10 shared papers)Vicki S. Freimuth (6 shared papers)Donald Musa (4 shared papers)Kelley M. Kidwell (2 shared papers)Kevin H. Kim (4 shared papers)Wei Luo (1 shared paper)Alan M. MacEachren (1 shared paper)Justine I. Blanford (1 shared paper)
- Journals
- PLoS ONE (4 papers)American Journal of Public Health (3 papers)Open Forum Infectious Diseases (2 papers)Journal of the American College of Cardiology (1 paper)International Journal of Health Geographics (1 paper)
- Partner nations
- United StatesTaiwanIndia
In The Last Decade
Supriya Kumar
30 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 132
- Modeling and Simulation 192
- Health 246
- Applied Psychology 66
- Cancer Research 185
- General Health Professions 225
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-authors
The 25 scholars most cited alongside Supriya Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 211 | |
| 2 | 2010 | 210 | |
| 3 | 2011 | 187 | |
| 4 | 2012 | 171 | |
| 5 | 2009 | 135 | |
| 6 | 2011 | 126 | |
| 7 | 2013 | 97 | |
| 8 | 2008 | 64 | |
| 9 | 2017 | 37 | |
| 10 | 2010 | 37 | |
| 11 | 2010 | 32 | |
| 12 | 2005 | 30 | |
| 13 | 2010 | 29 | |
| 14 | 2015 | 29 | |
| 15 | 2008 | 23 | |
| 16 | 2018 | 19 | |
| 17 | 2011 | 18 | |
| 18 | 2020 | 16 | |
| 19 | 2012 | 11 | |
| 20 | 2023 | 11 |
About Supriya Kumar
Supriya Kumar is a scholar working on Health, Molecular Biology, Infectious Diseases, Sociology and Political Science and Epidemiology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (5 papers), COVID-19 epidemiological studies (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Influenza Virus Research Studies (4 papers), RNA Research and Splicing (4 papers), Salmonella and Campylobacter epidemiology (4 papers), MicroRNA in disease regulation (3 papers) and Risk Perception and Management (3 papers). The work is most often cited by research in Modeling and Simulation (192 citations), Health (246 citations), Applied Psychology (66 citations), Cancer Research (185 citations) and General Health Professions (225 citations). Supriya Kumar has collaborated with scholars based in United States, Taiwan and India. Frequent co-authors include Sandra Crouse Quinn, Vicki S. Freimuth, Donald Musa, Kelley M. Kidwell, Kevin H. Kim, Wei Luo, Alan M. MacEachren, Justine I. Blanford, Karen Hilyard and Jian Lü. Their work appears in journals such as PLoS ONE, American Journal of Public Health, Open Forum Infectious Diseases, Journal of the American College of Cardiology and International Journal of Health Geographics.
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.