D. E. Kelley
Impact in
- Physiology top 2%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Cell Biology top 5%
- Muscle metabolism and nutrition
Papers in
-
- Adipose Tissue and Metabolism 4
- Diet and metabolism studies 2
- Physical Activity and Health 1
-
- Muscle metabolism and nutrition 4
- Co-authors
- Lawrence J. Mandarino (2 shared papers)F. Leland Thaete (1 shared paper)RR Wing (1 shared paper)Bret H. Goodpaster (1 shared paper)Alexandra Meier (1 shared paper)James P. DeLany (1 shared paper)Kazanna C. Hames (1 shared paper)John M. Jakicic (1 shared paper)
- Journals
- Diabetes (2 papers)Journal of Clinical Investigation (1 paper)International Journal of Obesity (1 paper)Diabetes Care (1 paper)
- Partner nations
- United States
In The Last Decade
D. E. Kelley
5 papers receiving 1.5k citations
D. E. Kelley's Hit Papers
Peers
Comparison fields: 5 of 87
- Physiology 1.1k
- Cell Biology 324
- Endocrinology, Diabetes and Metabolism 279
- Endocrine and Autonomic Systems 80
- Complementary and alternative medicine 86
Countries citing papers authored by D. E. Kelley
This map shows the geographic impact of D. 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 D. 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 D. E. Kelley more than expected).
Fields of papers citing papers by D. E. Kelley
This network shows the impact of papers produced by D. 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 D. E. Kelley. The network helps show where D. E. Kelley may publish in the future.
Co-authors
The 9 scholars most cited alongside D. 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 | Fuel selection in human skeletal muscle in insulin resistance: a reexamination. Hit paper breakdown → | 2000 | 759 |
| 2 | 1999 | 492 | |
| 3 | 2005 | 226 | |
| 4 | 2012 | 43 | |
| 5 | 1993 | 22 |
About D. E. Kelley
D. E. Kelley is a scholar working on Physiology, Cell Biology, Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 5 papers that have together received 1.5k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (4 papers), Adipose Tissue and Metabolism (4 papers), Diet and metabolism studies (2 papers), Physical Activity and Health (1 paper), Obesity, Physical Activity, Diet (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Cardiovascular and exercise physiology (1 paper) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). The work is most often cited by research in Physiology (1.1k citations), Cell Biology (324 citations), Endocrinology, Diabetes and Metabolism (279 citations), Endocrine and Autonomic Systems (80 citations) and Complementary and alternative medicine (86 citations). D. E. Kelley has collaborated with scholars based in United States. Frequent co-authors include Lawrence J. Mandarino, F. Leland Thaete, RR Wing, Bret H. Goodpaster, Alexandra Meier, James P. DeLany, Kazanna C. Hames, John M. Jakicic and Marián Mokáň. Their work appears in journals such as Diabetes, Journal of Clinical Investigation, International Journal of Obesity and Diabetes Care.
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.