Michael S. Ringel
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Aging top 10%
Papers in
-
- Pharmaceutical Economics and Policy 18
- Healthcare Policy and Management 1
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
- Co-authors
- Ulrik Schulze (11 shared papers)Ryan Goosen (1 shared paper)Nicholas J. Schork (1 shared paper)Jianying Hu (1 shared paper)Pratik Shah (1 shared paper)Sean Khozin (1 shared paper)Jason M. Laramie (1 shared paper)Jack W. Scannell (1 shared paper)
- Journals
- Nature Reviews Drug Discovery (15 papers)Clinical Pharmacology & Therapeutics (3 papers)Drug Discovery Today (2 papers)The Hastings Center Report (1 paper)Nature Aging (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Michael S. Ringel
28 papers receiving 860 citations
Peers
Comparison fields: 5 of 126
- Health Informatics 113
- Aging 18
- Health Information Management 83
- Computational Theory and Mathematics 100
- Economics and Econometrics 154
Countries citing papers authored by Michael S. Ringel
This map shows the geographic impact of Michael S. Ringel'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 Michael S. Ringel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Ringel more than expected).
Fields of papers citing papers by Michael S. Ringel
This network shows the impact of papers produced by Michael S. Ringel. 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 Michael S. Ringel. The network helps show where Michael S. Ringel may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael S. Ringel, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 369 | |
| 2 | 2020 | 82 | |
| 3 | 2016 | 75 | |
| 4 | 2013 | 63 | |
| 5 | 1996 | 59 | |
| 6 | 2014 | 47 | |
| 7 | 2013 | 44 | |
| 8 | 2015 | 38 | |
| 9 | 2024 | 28 | |
| 10 | 1998 | 26 | |
| 11 | 2019 | 19 | |
| 12 | 2024 | 15 | |
| 13 | 2023 | 9 | |
| 14 | 2017 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2017 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2017 | 4 | |
| 20 | 2020 | 4 |
About Michael S. Ringel
Michael S. Ringel is a scholar working on Economics and Econometrics, Aging, Public Health, Environmental and Occupational Health, Health Information Management and Pharmacology, having authored 28 papers that have together received 937 indexed citations. Recurring topics across this work include Pharmaceutical Economics and Policy (18 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Statistical Methods in Clinical Trials (2 papers), Innovation and Knowledge Management (1 paper), Healthcare Policy and Management (1 paper), Biotechnology and Related Fields (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Health Informatics (113 citations), Aging (18 citations), Health Information Management (83 citations), Computational Theory and Mathematics (100 citations) and Economics and Econometrics (154 citations). Michael S. Ringel has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Ulrik Schulze, Ryan Goosen, Nicholas J. Schork, Jianying Hu, Pratik Shah, Sean Khozin, Jason M. Laramie, Jack W. Scannell, Helen H. Hu and Andrew S. Plump. Their work appears in journals such as Nature Reviews Drug Discovery, Clinical Pharmacology & Therapeutics, Drug Discovery Today, The Hastings Center Report and Nature Aging.
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.