Kevin M. Kelley
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Aquatic Science top 2%
- Complementary and alternative medicine top 1%
- Co-authors
- Zoran GucevRon G. RosenfeldYoungman OhHoward A. BernRichard S. NishiokaL. Bruce GladdenMichael C. HoganSharron Gargosky
- Topics
- Aquaculture Nutrition and Growth (10 papers)Growth Hormone and Insulin-like Growth Factors (7 papers)Cardiovascular and exercise physiology (7 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Kevin M. Kelley
42 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 114
- Endocrinology, Diabetes and Metabolism 799
- Molecular Biology 551
- Cardiology and Cardiovascular Medicine 338
- Aquatic Science 288
- Complementary and alternative medicine 282
Countries citing papers authored by Kevin M. Kelley
This map shows the geographic impact of Kevin M. 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 Kevin M. Kelley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin M. Kelley more than expected).
Fields of papers citing papers by Kevin M. Kelley
This network shows the impact of papers produced by Kevin M. 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 Kevin M. Kelley. The network helps show where Kevin M. Kelley may publish in the future.
Co-authorship network of co-authors of Kevin M. Kelley
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin M. Kelley. A scholar is included among the top collaborators of Kevin M. Kelley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin M. Kelley. Kevin M. Kelley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 17 | |
| 3 | 24 | |
| 4 | 44 | |
| 5 | 21 | |
| 6 | 10 | |
| 7 | Catch and Release of California Sheephead: Physiological and Behavioral Stress Effects and Post-Release Survival | 1 |
| 8 | Handling school conflict : training learners for effective peer intervention | 4 |
| 9 | 103 | |
| 10 | 5 | |
| 11 | 401 | |
| 12 | 55 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 112 | |
| 17 | 34 | |
| 18 | 85 | |
| 19 | 77 | |
| 20 | 24 |
About Kevin M. Kelley
Kevin M. Kelley is a scholar working on Aquatic Science, Physiology and Complementary and alternative medicine, having authored 43 papers that have together received 1.9k indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (10 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Cardiovascular and exercise physiology (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (799 citations), Physiology (185 citations) and Aquatic Science (288 citations). Kevin M. Kelley has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Zoran Gucev, Ron G. Rosenfeld, Youngman Oh, Howard A. Bern, Richard S. Nishioka, L. Bruce Gladden, Michael C. Hogan, Sharron Gargosky, Vivian Hwa and Tomoko Matsumoto. Their work appears in journals such as PLoS ONE, The Journal of Physiology and Diabetes.
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.