Suchetha Sharma
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- Long-Term Effects of COVID-19 2
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- Artificial Intelligence in Healthcare 4
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- COVID-19 Clinical Research Studies 2
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- Cardiovascular and exercise physiology 2
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- Machine Learning in Healthcare 4
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- Heart Rate Variability and Autonomic Control 2
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- Social Media and Politics 1
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- COVID-19 and Mental Health 1
Suchetha Sharma
9 papers receiving 45 citations
Peers
Comparison fields: 5 of 36
- Neurology 23
- Critical Care and Intensive Care Medicine 6
- Health Information Management 5
- Infectious Diseases 12
- Complementary and alternative medicine 4
Countries citing papers authored by Suchetha Sharma
This map shows the geographic impact of Suchetha Sharma'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 Suchetha Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suchetha Sharma more than expected).
Fields of papers citing papers by Suchetha Sharma
This network shows the impact of papers produced by Suchetha Sharma. 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 Suchetha Sharma. The network helps show where Suchetha Sharma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suchetha Sharma, 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 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 25 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 4 | |
| 11 | 2020 | 4 |
About Suchetha Sharma
Suchetha Sharma is a scholar working on Health Information Management, Complementary and alternative medicine and Modeling and Simulation, having authored 11 papers that have together received 49 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (4 papers), Machine Learning in Healthcare (4 papers), COVID-19 Clinical Research Studies (2 papers), Cardiovascular and exercise physiology (2 papers), Long-Term Effects of COVID-19 (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Social Media and Politics (1 paper) and COVID-19 and Mental Health (1 paper). The work is most often cited by research in Neurology (23 citations), Critical Care and Intensive Care Medicine (6 citations) and Health Information Management (5 citations). Suchetha Sharma has collaborated with scholars based in United States and Israel. Frequent co-authors include Donald E. Brown, Arthur Weltman, Christopher G. Chute, Johanna Loomba, Melissa Haendel, Julie A. McMurry, Elaine Hill, Richard A. Moffitt, Lorna E. Thorpe and Charisse Madlock‐Brown.
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.