Prasad Patil
- Health Informatics top 10%
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials 3
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- Gene expression and cancer classification 5
- Molecular Biology Techniques and Applications 4
- Bioinformatics and Genomic Networks 3
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- Health disparities and outcomes 4
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- Air Quality and Health Impacts 3
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- Substance Abuse Treatment and Outcomes 3
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- Opioid Use Disorder Treatment 3
- Co-authors
- Jeffrey T. LeekRoger D. PengPeter J. TonellatoDennis P. WallBenjamin Haibe‐KainsVincent A. FusaroErik GafniGiovanni Parmigiani
- Cited by
- Health InformaticsInformation Systems and ManagementStatistics, Probability and Uncertainty
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Circulation (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Prasad Patil
42 papers receiving 711 citations
Peers
Comparison fields: 5 of 146
- Health Informatics 16
- Information Systems and Management 79
- Statistics, Probability and Uncertainty 55
- General Decision Sciences 11
- Statistics and Probability 40
Countries citing papers authored by Prasad Patil
This map shows the geographic impact of Prasad Patil'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 Prasad Patil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasad Patil more than expected).
Fields of papers citing papers by Prasad Patil
This network shows the impact of papers produced by Prasad Patil. 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 Prasad Patil. The network helps show where Prasad Patil may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Prasad Patil, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 15 | |
| 10 | 2021 | 15 | |
| 11 | 2021 | 24 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 27 | |
| 14 | 2020 | 61 | |
| 15 | 2017 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2015 | 74 | |
| 18 | 2010 | 81 | |
| 19 | 2009 | 37 | |
| 20 | 2009 | 3 |
About Prasad Patil
Prasad Patil is a scholar working on Health Informatics, Applied Microbiology and Biotechnology and Statistics and Probability, having authored 51 papers that have together received 746 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Molecular Biology Techniques and Applications (4 papers), Health disparities and outcomes (4 papers), Air Quality and Health Impacts (3 papers), Statistical Methods in Clinical Trials (3 papers), Substance Abuse Treatment and Outcomes (3 papers), Bioinformatics and Genomic Networks (3 papers) and Opioid Use Disorder Treatment (3 papers). The work is most often cited by research in Health Informatics (16 citations), Information Systems and Management (79 citations) and Statistics, Probability and Uncertainty (55 citations). Prasad Patil has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Jeffrey T. Leek, Roger D. Peng, Peter J. Tonellato, Dennis P. Wall, Benjamin Haibe‐Kains, Vincent A. Fusaro, Erik Gafni, Giovanni Parmigiani, Vincent A. Fusaro and Parul Kudtarkar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.
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.