Michael S. Ringel
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Pharmaceutical Economics and Policy 14
- Health Systems, Economic Evaluations, Quality of Life 10
- Innovation Policy and R&D 2
-
- Biotechnology and Related Fields 3
- Health and Medical Research Impacts 2
- Co-authors
- Ulrik Schulze (11 shared papers)Jianying Hu (1 shared paper)Jason M. Laramie (1 shared paper)Nicholas J. Schork (1 shared paper)Pratik Shah (1 shared paper)Sean Khozin (1 shared paper)Ryan Goosen (1 shared paper)Jack W. Scannell (1 shared paper)
- Journals
- Nature Reviews Drug Discovery (16 papers)Clinical Pharmacology & Therapeutics (3 papers)Drug Discovery Today (2 papers)Theoretical Population Biology (1 paper)Nature Aging (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Michael S. Ringel
31 papers receiving 810 citations
Peers
Comparison fields: 5 of 147
- Health Informatics 76
- Health Information Management 52
- Computational Theory and Mathematics 98
- Economics and Econometrics 156
- Management of Technology and Innovation 38
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 338 | |
| 2 | 2020 | 76 | |
| 3 | 2016 | 71 | |
| 4 | 2013 | 68 | |
| 5 | 1996 | 58 | |
| 6 | 2014 | 46 | |
| 7 | 2013 | 45 | |
| 8 | 2015 | 36 | |
| 9 | 1998 | 26 | |
| 10 | 2019 | 17 | |
| 11 | 2017 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2017 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2017 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2018 | 3 | |
| 20 | 2016 | 3 |
About Michael S. Ringel
Michael S. Ringel is a scholar working on Economics and Econometrics, Public Health, Environmental and Occupational Health, Reproductive Medicine, Management of Technology and Innovation and Pediatrics, Perinatology and Child Health, having authored 32 papers that have together received 855 indexed citations. Recurring topics across this work include Pharmaceutical Economics and Policy (14 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers), Science, Research, and Medicine (6 papers), Biotechnology and Related Fields (3 papers), Intellectual Property and Patents (2 papers), Innovation Policy and R&D (2 papers), Health and Medical Research Impacts (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Health Informatics (76 citations), Health Information Management (52 citations), Computational Theory and Mathematics (98 citations), Economics and Econometrics (156 citations) and Management of Technology and Innovation (38 citations). Michael S. Ringel has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Ulrik Schulze, Jianying Hu, Jason M. Laramie, Nicholas J. Schork, Pratik Shah, Sean Khozin, Ryan Goosen, Jack W. Scannell, Helen H. Hu and Liangsu Wang. Their work appears in journals such as Nature Reviews Drug Discovery, Clinical Pharmacology & Therapeutics, Drug Discovery Today, Theoretical Population Biology 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.