David E. Kelley
- Physiology top 0.01%
- Adipose Tissue and Metabolism 65
- Diet and metabolism studies 50
- Body Composition Measurement Techniques 15
- Endocrinology, Diabetes and Metabolism top 0.05%
- Diabetes Treatment and Management 19
- Cell Biology top 0.05%
- Muscle metabolism and nutrition 58
- Endocrine and Autonomic Systems top 0.2%
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- Metabolism, Diabetes, and Cancer 30
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- Pancreatic function and diabetes 16
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- Adipokines, Inflammation, and Metabolic Diseases 14
- Co-authors
- Bret H. GoodpasterJing HeF. Leland ThaeteVladimir B. RitovJean‐Aimé SimoneauElizabeth V. MenshikovaSimon C. WatkinsJ. A. Simoneau
- Journals
- Diabetes (23 papers)American Journal of Physiology-Endocrinology and Metabolism (22 papers)Diabetes Care (16 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
David E. Kelley
199 papers receiving 27.6k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Physiology 17.1k
- Endocrinology, Diabetes and Metabolism 6.0k
- Cell Biology 4.7k
- Endocrine and Autonomic Systems 1.5k
- Complementary and alternative medicine 1.4k
Countries citing papers authored by David E. Kelley
This map shows the geographic impact of David E. Kelley'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 David E. Kelley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Kelley more than expected).
Fields of papers citing papers by David E. Kelley
This network shows the impact of papers produced by David E. Kelley. 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 David E. Kelley. The network helps show where David E. Kelley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David E. Kelley, 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 | 1 | |
| 2 | 2019 | 19 | |
| 3 | 2018 | 15 | |
| 4 | 2018 | 30 | |
| 5 | 2017 | 36 | |
| 6 | 2015 | 4 | |
| 7 | 2012 | 42 | |
| 8 | 2008 | 97 | |
| 9 | 2007 | 60 | |
| 10 | 2006 | 246 | |
| 11 | 2006 | 94 | |
| 12 | 2006 | 11 | |
| 13 | 2004 | 15 | |
| 14 | 2004 | 43 | |
| 15 | 2002 | 112 | |
| 16 | 2000 | 198 | |
| 17 | 1998 | 68 | |
| 18 | 1995 | 264 | |
| 19 | 1990 | 161 | |
| 20 | 1988 | 242 |
About David E. Kelley
David E. Kelley is a scholar working on Physiology, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 201 papers that have together received 28.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (65 papers), Muscle metabolism and nutrition (58 papers), Diet and metabolism studies (50 papers), Metabolism, Diabetes, and Cancer (30 papers), Diabetes Treatment and Management (19 papers), Pancreatic function and diabetes (16 papers), Body Composition Measurement Techniques (15 papers) and Adipokines, Inflammation, and Metabolic Diseases (14 papers). The work is most often cited by research in Physiology (17.1k citations), Endocrinology, Diabetes and Metabolism (6.0k citations) and Cell Biology (4.7k citations). David E. Kelley has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Bret H. Goodpaster, Jing He, F. Leland Thaete, Vladimir B. Ritov, Jean‐Aimé Simoneau, Elizabeth V. Menshikova, Simon C. Watkins, J. A. Simoneau, Rena R. Wing and Frederico G. S. Toledo. Their work appears in journals such as Diabetes, American Journal of Physiology-Endocrinology and Metabolism, Diabetes Care, The Journal of Clinical Endocrinology & Metabolism and Obesity.
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.