Ayush Patel
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- Bipolar Disorder and Treatment 3
- Co-authors
- Rajender R. Aparasu (6 shared papers)Keith S. Kaye (1 shared paper)Kenneth P. Johnson (1 shared paper)Jennifer Stephens (1 shared paper)Dipen Patel (1 shared paper)A. Khachatryan (1 shared paper)Melissa Ochoa‐Perez (4 shared papers)Hua Chen (4 shared papers)
- Journals
- Pharmacoepidemiology and Drug Safety (1 paper)Journal of Dispersion Science and Technology (1 paper)PLoS ONE (1 paper)Mini-Reviews in Organic Chemistry (1 paper)Journal of the American Academy of Dermatology (1 paper)
- Partner nations
- United StatesIndiaGreece
In The Last Decade
Ayush Patel
19 papers receiving 281 citations
Peers
Comparison fields: 5 of 84
- Applied Microbiology and Biotechnology 8
- Health Information Management 18
- Psychiatry and Mental health 38
- Clinical Biochemistry 18
- Infectious Diseases 43
Countries citing papers authored by Ayush Patel
This map shows the geographic impact of Ayush Patel'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 Ayush Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayush Patel more than expected).
Fields of papers citing papers by Ayush Patel
This network shows the impact of papers produced by Ayush Patel. 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 Ayush Patel. The network helps show where Ayush Patel may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayush Patel, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 79 | |
| 2 | 2014 | 52 | |
| 3 | 2017 | 27 | |
| 4 | 2017 | 21 | |
| 5 | 2020 | 18 | |
| 6 | 2023 | 16 | |
| 7 | 2022 | 14 | |
| 8 | 2017 | 14 | |
| 9 | 2024 | 12 | |
| 10 | 2014 | 10 | |
| 11 | 2019 | 10 | |
| 12 | 2023 | 7 | |
| 13 | 2020 | 5 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2014 | 0 |
About Ayush Patel
Ayush Patel is a scholar working on Psychiatry and Mental health, Physiology, Health Information Management, Biomaterials and Artificial Intelligence, having authored 25 papers that have together received 293 indexed citations. Recurring topics across this work include Bipolar Disorder and Treatment (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Artificial Intelligence in Healthcare (2 papers), Diabetes Management and Research (1 paper), Click Chemistry and Applications (1 paper), Microgrid Control and Optimization (1 paper), Infrastructure Maintenance and Monitoring (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (8 citations), Health Information Management (18 citations), Psychiatry and Mental health (38 citations), Clinical Biochemistry (18 citations) and Infectious Diseases (43 citations). Ayush Patel has collaborated with scholars based in United States, India and Greece. Frequent co-authors include Rajender R. Aparasu, Keith S. Kaye, Kenneth P. Johnson, Jennifer Stephens, Dipen Patel, A. Khachatryan, Melissa Ochoa‐Perez, Hua Chen, Ioannis A. Kakadiaris and April Morton. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, Journal of Dispersion Science and Technology, PLoS ONE, Mini-Reviews in Organic Chemistry and Journal of the American Academy of Dermatology.
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.