Radhika Gharpure
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 6
- Endocrinology top 5%
- Infectious Diseases top 5%
- Viral Infections and Vectors 6
- SARS-CoV-2 and COVID-19 Research 3
- Parasitology top 5%
- Health top 5%
- Vaccine Coverage and Hesitancy 10
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- Influenza Virus Research Studies 10
- Respiratory viral infections research 5
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- COVID-19 and Mental Health 5
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- Animal Disease Management and Epidemiology 3
- Co-authors
- Emily G. PieracciAmanda G. Garcia‐WilliamsJonathan S. YoderMary E. WikswoIbne Karim M. AliJennifer R. CopeAllison D. MillerAriana Perez
- Journals
- JAMA (1 paper)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesUgandaSwitzerland
In The Last Decade
Radhika Gharpure
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 118
- Modeling and Simulation 115
- Endocrinology 127
- Infectious Diseases 419
- Parasitology 142
- Health 119
Countries citing papers authored by Radhika Gharpure
This map shows the geographic impact of Radhika Gharpure'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 Radhika Gharpure with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radhika Gharpure more than expected).
Fields of papers citing papers by Radhika Gharpure
This network shows the impact of papers produced by Radhika Gharpure. 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 Radhika Gharpure. The network helps show where Radhika Gharpure may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Radhika Gharpure, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 12 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 81 | |
| 15 | 2018 | 2 | |
| 16 | 2018 | 31 | |
| 17 | 2018 | 15 | |
| 18 | 2016 | 120 | |
| 19 | 2016 | 119 | |
| 20 | 2016 | 13 |
About Radhika Gharpure
Radhika Gharpure is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Vaccine Coverage and Hesitancy (10 papers), COVID-19 epidemiological studies (6 papers), Viral Infections and Vectors (6 papers), Respiratory viral infections research (5 papers), COVID-19 and Mental Health (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Animal Disease Management and Epidemiology (3 papers). The work is most often cited by research in Modeling and Simulation (115 citations), Endocrinology (127 citations) and Infectious Diseases (419 citations). Radhika Gharpure has collaborated with scholars based in United States, Uganda and Switzerland. Frequent co-authors include Emily G. Pieracci, Amanda G. Garcia‐Williams, Jonathan S. Yoder, Mary E. Wikswo, Ibne Karim M. Ali, Jennifer R. Cope, Allison D. Miller, Ariana Perez, Michele C. Hlavsa and Amy H. Schnall. Their work appears in journals such as JAMA, 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.