Michael S. Ringel
- Health Informatics top 2%
- Economics and Econometrics top 5%
- Pharmaceutical Economics and Policy 14
- Health Systems, Economic Evaluations, Quality of Life 11
- Innovation Policy and R&D 2
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- Computational Drug Discovery Methods 2
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- Science, Research, and Medicine 6
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- Biotechnology and Related Fields 3
- Health and Medical Research Impacts 2
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- Genetics, Aging, and Longevity in Model Organisms 2
- Co-authors
- Ulrik SchulzeNicholas J. SchorkJason M. LaramiePratik ShahSean KhozinRyan GoosenJianying HuHelen H. Hu
- Journals
- Nature Reviews Drug Discovery (16 papers)Clinical Pharmacology & Therapeutics (3 papers)Drug Discovery Today (2 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Michael S. Ringel
31 papers receiving 731 citations
Peers
Comparison fields: 5 of 149
- Health Informatics 73
- Health Information Management 48
- Economics and Econometrics 164
- Computational Theory and Mathematics 94
- Management of Technology and Innovation 34
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2022 | 6 | |
| 6 | 2019 | 294 | |
| 7 | 2019 | 6 | |
| 8 | 2018 | 2 | |
| 9 | 2017 | 9 | |
| 10 | 2017 | 5 | |
| 11 | 2017 | 4 | |
| 12 | 2016 | 3 | |
| 13 | 2016 | 68 | |
| 14 | 2014 | 44 | |
| 15 | 2013 | 64 | |
| 16 | 2013 | 41 | |
| 17 | 1996 | 51 | |
| 18 | Changing disease patterns, shifting demographics: effects on laboratory services. | 1994 | 1 |
| 19 | Look who's giving doctors clinical advice. | 1994 | 1 |
| 20 | Filed for easy reference: a method for maintaining personal files of medical articles. | 1980 | 0 |
About Michael S. Ringel
Michael S. Ringel is a scholar working on Aging, Health Informatics, Reproductive Medicine, Medical Laboratory Technology and Economics and Econometrics, having authored 32 papers that have together received 765 indexed citations. Recurring topics across this work include Pharmaceutical Economics and Policy (14 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), Science, Research, and Medicine (6 papers), Biotechnology and Related Fields (3 papers), Computational Drug Discovery Methods (2 papers), Innovation Policy and R&D (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Health and Medical Research Impacts (2 papers). The work is most often cited by research in Health Informatics (73 citations), Health Information Management (48 citations), Economics and Econometrics (164 citations), Computational Theory and Mathematics (94 citations) and Management of Technology and Innovation (34 citations). Michael S. Ringel has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Ulrik Schulze, Nicholas J. Schork, Jason M. Laramie, Pratik Shah, Sean Khozin, Ryan Goosen, Jianying Hu, Helen H. Hu, Jack W. Scannell and Liangsu Wang. Their work appears in journals such as Nature Reviews Drug Discovery, Clinical Pharmacology & Therapeutics, Drug Discovery Today, npj Digital Medicine and Theoretical Population Biology.
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.