K. M. Kelley

33 total papers · 653 total citations
23 papers, 515 citations indexed

About

K. M. Kelley is a scholar working on Aquatic Science, Endocrinology, Diabetes and Metabolism and Complementary and alternative medicine. According to data from OpenAlex, K. M. Kelley has authored 23 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Aquatic Science, 7 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Complementary and alternative medicine. Recurrent topics in K. M. Kelley's work include Aquaculture Nutrition and Growth (7 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Cardiovascular and exercise physiology (5 papers). K. M. Kelley is often cited by papers focused on Aquaculture Nutrition and Growth (7 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Cardiovascular and exercise physiology (5 papers). K. M. Kelley collaborates with scholars based in United States, Italy and United Kingdom. K. M. Kelley's co-authors include Elisabeth S. Gray, Amber S. Messersmith, Ryan S. Bisel, Howard A. Bern, Joseph Ilan, Daniel Schlenk, Roland W. Moskowitz, Juan E. Reyes, Steffen S. Madsen and S. D. McCormick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Diabetes and Endocrinology.

In The Last Decade

K. M. Kelley

21 papers receiving 494 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
K. M. Kelley	217	133	87	82	69	23	515
B. Scott Nunez	196 0.9×	78 0.6×	71 0.8×	105 1.3×	144 2.1×	24	515
H. A. Bern	130 0.6×	159 1.2×	152 1.7×	94 1.1×	77 1.1×	26	482
Junko Kubota	150 0.7×	139 1.0×	69 0.8×	121 1.5×	139 2.0×	31	615
Toyohiko Noso	248 1.1×	221 1.7×	118 1.4×	248 3.0×	202 2.9×	20	586
Nóra Mayer	48 0.2×	214 1.6×	199 2.3×	107 1.3×	59 0.9×	28	548
Jacques Wolff	79 0.4×	150 1.1×	39 0.4×	202 2.5×	205 3.0×	25	448
Marta Codina	100 0.5×	267 2.0×	131 1.5×	83 1.0×	168 2.4×	9	579
Tingting Shu	91 0.4×	30 0.2×	53 0.6×	107 1.3×	166 2.4×	28	561
P. A. Flett	85 0.4×	177 1.3×	83 1.0×	155 1.9×	38 0.6×	12	496
Hideya Takahashi	49 0.2×	268 2.0×	349 4.0×	117 1.4×	62 0.9×	19	530

Countries citing papers authored by K. M. Kelley

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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