Stephen D. Phinney
Impact in
- Physiology top 0.2%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
-
- Diet, Metabolism, and Disease
Papers in
- Physiology 77
- Diet and metabolism studies 60
- Adipose Tissue and Metabolism 26
-
- Diet, Metabolism, and Disease 29
- Co-authors
- Jeff S. VolekWilliam J. EvansV. R. YoungRichard D. FeinmanMaría Luz FernándezWilliam J. KraemerGeorge L. BlackburnB R Bistrian
- Journals
- American Journal of Clinical Nutrition (13 papers)Metabolism (9 papers)Diabetes (8 papers)Medicine & Science in Sports & Exercise (7 papers)Cardiovascular Diabetology (3 papers)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Stephen D. Phinney
109 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Physiology 4.4k
- Endocrinology, Diabetes and Metabolism 1.9k
- Cell Biology 1.6k
- Nutrition and Dietetics 1.0k
- Pharmacy 330
Countries citing papers authored by Stephen D. Phinney
This map shows the geographic impact of Stephen D. Phinney'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 D. Phinney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen D. Phinney more than expected).
Fields of papers citing papers by Stephen D. Phinney
This network shows the impact of papers produced by Stephen D. Phinney. 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 D. Phinney. The network helps show where Stephen D. Phinney may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen D. Phinney, 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 | 2024 | 5 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 11 | |
| 4 | 2021 | 16 | |
| 5 | 2019 | 34 | |
| 6 | 2019 | 219 | |
| 7 | 2018 | 281 | |
| 8 | 2017 | 115 | |
| 9 | 2015 | 234 | |
| 10 | 2014 | 170 | |
| 11 | 2014 | 90 | |
| 12 | 2003 | 124 | |
| 13 | 2000 | 56 | |
| 14 | 1996 | 16 | |
| 15 | 1994 | 16 | |
| 16 | 1994 | 58 | |
| 17 | 1992 | 33 | |
| 18 | 1992 | 12 | |
| 19 | 1991 | 35 | |
| 20 | The management of hypertension associated with obesity. | 1978 | 3 |
About Stephen D. Phinney
Stephen D. Phinney is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics, Cell Biology and Biochemistry, having authored 112 papers that have together received 6.8k indexed citations. Recurring topics across this work include Diet and metabolism studies (60 papers), Diet, Metabolism, and Disease (29 papers), Fatty Acid Research and Health (26 papers), Adipose Tissue and Metabolism (26 papers), Muscle metabolism and nutrition (17 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Metabolism, Diabetes, and Cancer (7 papers) and Liver Disease Diagnosis and Treatment (7 papers). The work is most often cited by research in Physiology (4.4k citations), Endocrinology, Diabetes and Metabolism (1.9k citations), Cell Biology (1.6k citations), Nutrition and Dietetics (1.0k citations) and Pharmacy (330 citations). Stephen D. Phinney has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Jeff S. Volek, William J. Evans, V. R. Young, Richard D. Feinman, María Luz Fernández, William J. Kraemer, George L. Blackburn, B R Bistrian, Amy L. McKenzie and Sarah J. Hallberg. Their work appears in journals such as American Journal of Clinical Nutrition, Metabolism, Diabetes, Medicine & Science in Sports & Exercise and Cardiovascular Diabetology.
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.