K. M. Kelley
- Endocrinology, Diabetes and Metabolism top 5%
- Aquatic Science top 5%
- Ecology
- Physiology top 5%
- Genetics
- Co-authors
- Elisabeth S. GrayRyan S. BiselAmber S. MessersmithHoward A. BernJoseph IlanDaniel SchlenkJuan E. ReyesRoland W. Moskowitz
- Topics
- Growth Hormone and Insulin-like Growth Factors (7 papers)Aquaculture Nutrition and Growth (7 papers)Cardiovascular and exercise physiology (5 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
K. M. Kelley
22 papers receiving 497 citations
Peers
Comparison fields: 5 of 95
- Endocrinology, Diabetes and Metabolism 217
- Aquatic Science 133
- Ecology 87
- Physiology 82
- Genetics 69
Countries citing papers authored by K. M. Kelley
This map shows the geographic impact of K. 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 K. 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 K. M. Kelley more than expected).
Fields of papers citing papers by K. M. Kelley
This network shows the impact of papers produced by K. 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 K. M. Kelley. The network helps show where K. M. Kelley may publish in the future.
Co-authorship network of co-authors of K. M. Kelley
This figure shows the co-authorship network connecting the top 25 collaborators of K. M. Kelley. A scholar is included among the top collaborators of K. 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 K. M. Kelley. K. 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 | 1 | |
| 2 | 23 | |
| 3 | 59 | |
| 4 | 0 | |
| 5 | 53 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 114 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | Evolution of endocrine growth regulation: the insulin like growth factors (IGFs), their regulatory binding proteins (IGFBPs), and IGF receptors in fishes and other ectothermic vertebrates. | 24 |
| 12 | Proposed growth-inhibitory role of low-MW insulin-like growth factor-binding proteins in the goby Gillichthys mirabilis | 4 |
| 13 | 1 | |
| 14 | 13 | |
| 15 | Characterization of an insulin-like growth factor binding protein-5 protease produced by rat articular chondrocytes and a neuroblastoma cell line. | 16 |
| 16 | 27 | |
| 17 | 25 | |
| 18 | 1 | |
| 19 | 28 | |
| 20 | 52 |
About K. M. Kelley
K. M. Kelley is a scholar working on Aquatic Science, Complementary and alternative medicine and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 518 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Aquaculture Nutrition and Growth (7 papers) and Cardiovascular and exercise physiology (5 papers). The work is most often cited by research in Aquatic Science (133 citations), Physiology (82 citations) and Endocrinology, Diabetes and Metabolism (217 citations). K. M. Kelley has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Elisabeth S. Gray, Ryan S. Bisel, Amber S. Messersmith, Howard A. Bern, Joseph Ilan, Daniel Schlenk, Juan E. Reyes, Roland W. Moskowitz, R.S. Nishioka and Steffen S. Madsen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Diabetes and Endocrinology.
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.