Stephen F. Previs
- Physiology top 0.5%
- Diet and metabolism studies 38
- Adipose Tissue and Metabolism 28
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders 21
- Biochemistry top 0.5%
- Molecular Biology top 1%
- Metabolomics and Mass Spectrometry Studies 33
- Metabolism, Diabetes, and Cancer 22
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- Muscle metabolism and nutrition 26
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- Mass Spectrometry Techniques and Applications 19
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- Liver Disease Diagnosis and Treatment 16
- Co-authors
- Gerald I. ShulmanJianming RenDominic J. WithersMorris F. WhiteHeather ToweryDeborah J. BurksSusan Bonner‐WeirYitao Zhang
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
Stephen F. Previs
139 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Endocrinology, Diabetes and Metabolism 1.4k
- Physiology 2.1k
- Clinical Biochemistry 475
- Biochemistry 499
- Molecular Biology 4.1k
Countries citing papers authored by Stephen F. Previs
This map shows the geographic impact of Stephen F. Previs'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 Stephen F. Previs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen F. Previs more than expected).
Fields of papers citing papers by Stephen F. Previs
This network shows the impact of papers produced by Stephen F. Previs. 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 Stephen F. Previs. The network helps show where Stephen F. Previs may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen F. Previs, 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 | 2023 | 9 | |
| 2 | 2022 | 4 | |
| 3 | 2020 | 10 | |
| 4 | 2018 | 15 | |
| 5 | 2017 | 21 | |
| 6 | 2017 | 11 | |
| 7 | 2017 | 9 | |
| 8 | 2016 | 17 | |
| 9 | 2013 | 13 | |
| 10 | 2010 | 72 | |
| 11 | 2007 | 26 | |
| 12 | 2007 | 15 | |
| 13 | 2006 | 19 | |
| 14 | 2005 | 79 | |
| 15 | 2002 | 19 | |
| 16 | 2001 | 34 | |
| 17 | 2000 | 237 | |
| 18 | 1998 | 23 | |
| 19 | Disruption of IRS-2 causes type 2 diabetes in micebreakdown → | 1998 | 1412 |
| 20 | 1994 | 7 |
About Stephen F. Previs
Stephen F. Previs is a scholar working on Clinical Biochemistry, Physiology and Cell Biology, having authored 139 papers that have together received 7.2k indexed citations. Recurring topics across this work include Diet and metabolism studies (38 papers), Metabolomics and Mass Spectrometry Studies (33 papers), Adipose Tissue and Metabolism (28 papers), Muscle metabolism and nutrition (26 papers), Metabolism, Diabetes, and Cancer (22 papers), Metabolism and Genetic Disorders (21 papers), Mass Spectrometry Techniques and Applications (19 papers) and Liver Disease Diagnosis and Treatment (16 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Physiology (2.1k citations) and Clinical Biochemistry (475 citations). Stephen F. Previs has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Gerald I. Shulman, Jianming Ren, Dominic J. Withers, Morris F. White, Heather Towery, Deborah J. Burks, Susan Bonner‐Weir, Yitao Zhang, Sebastián Pons and Dolores Bernal. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.