Stephen D. Phinney

9.5k citations
112 papers · 6.8k indexed · 1 hit paper · h-index 41

Impact in

Papers in

Stephen D. Phinney

109 papers receiving 6.5k citations

Hit Papers

Suction applied to a muscle biopsy maximizes sample size 1982 · 467 citations
4671982202619962011100200300400

Peers

Stephen D. Phinney
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
Replace Bettina Mittendorfer with:
Bettina Mittendorfer United States
David E. Laaksonen Finland
Stephen Lillioja United States
Joseph Proietto Australia
Michael B. Zemel United States
Cris A. Slentz United States
Marco Mensink Netherlands
Nancy L. Keim United States
R Andres United States
Pascale Mauriège Canada
Stephen D. Phinney relative to Bettina Mittendorfer United States Bettina Mittendorfer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Stephen D. Phinney

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Stephen D. Phinney Line = papers co-authored together Stephen D. Phinney links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 20231
3 202211
4 202116
5 201934
6 2019219
7 2018281
8 2017115
9 2015234
10 2014170
11 201490
12 2003124
13 200056
14 199616
15 199416
16 199458
17 199233
18 199212
19 199135
20
The management of hypertension associated with obesity.
19783

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.

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