Nikkil Sudharsanan
- Health top 5%
- Health disparities and outcomes 19
- Modeling and Simulation top 5%
- General Health Professions top 10%
- Global Health Care Issues 17
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- Global Public Health Policies and Epidemiology 8
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- Blood Pressure and Hypertension Studies 11
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- Healthcare Systems and Reforms 8
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- Insurance, Mortality, Demography, Risk Management 5
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- Obesity, Physical Activity, Diet 5
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- Birth, Development, and Health 4
- Co-authors
- Pascal GeldsetzerTill BärnighausenMohammed K. AliDavid E. BloomSimiao ChenMaarten J. BijlsmaK.M. Venkat NarayanYuanli Liu
- Journals
- International Journal of Epidemiology (4 papers)JAMA Network Open (2 papers)Health Affairs (2 papers)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Nikkil Sudharsanan
41 papers receiving 506 citations
Peers
Comparison fields: 5 of 97
- Health 127
- Modeling and Simulation 52
- General Health Professions 154
- Organizational Behavior and Human Resource Management 60
- Cardiology and Cardiovascular Medicine 108
Countries citing papers authored by Nikkil Sudharsanan
This map shows the geographic impact of Nikkil Sudharsanan'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 Nikkil Sudharsanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikkil Sudharsanan more than expected).
Fields of papers citing papers by Nikkil Sudharsanan
This network shows the impact of papers produced by Nikkil Sudharsanan. 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 Nikkil Sudharsanan. The network helps show where Nikkil Sudharsanan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nikkil Sudharsanan, 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 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 30 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 21 | |
| 12 | 2022 | 10 | |
| 13 | 2022 | 20 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2020 | 2 | |
| 18 | 2020 | 14 | |
| 19 | 2019 | 8 | |
| 20 | 2016 | 2 |
About Nikkil Sudharsanan
Nikkil Sudharsanan is a scholar working on Health, General Health Professions and General Psychology, having authored 46 papers that have together received 525 indexed citations. Recurring topics across this work include Health disparities and outcomes (19 papers), Global Health Care Issues (17 papers), Blood Pressure and Hypertension Studies (11 papers), Healthcare Systems and Reforms (8 papers), Global Public Health Policies and Epidemiology (8 papers), Insurance, Mortality, Demography, Risk Management (5 papers), Obesity, Physical Activity, Diet (5 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Health (127 citations), Modeling and Simulation (52 citations) and General Health Professions (154 citations). Nikkil Sudharsanan has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Pascal Geldsetzer, Till Bärnighausen, Mohammed K. Ali, David E. Bloom, Simiao Chen, Maarten J. Bijlsma, K.M. Venkat Narayan, Yuanli Liu, Margaret McConnell and Feng Huang. Their work appears in journals such as International Journal of Epidemiology, JAMA Network Open, Health Affairs, Social Science & Medicine and BMJ Open.
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.