Kevin Catt

45.0k citations
555 papers · 37.4k indexed · 5 hit papers · h-index 101

Kevin Catt

553 papers receiving 35.4k citations

Hit Papers

International Union of Pharmacology. ...1.8k196720261986200650010001.5k

Peers

Kevin Catt
Comparison fields: 5 of 161
  • Reproductive Medicine 11.0k
  • Behavioral Neuroscience 3.1k
  • Endocrinology, Diabetes and Metabolism 11.7k
  • Cellular and Molecular Neuroscience 5.4k
  • Cardiology and Cardiovascular Medicine 6.6k
Replace Andrew V. Schally with:
Andrew V. Schally United States
Fernand Labrie Canada
Jean Rivier United States
Andrzej Bartke United States
Dennis B. Lubahn United States
Peter H. Seeburg Germany
Günther Schütz Germany
Robert J. Lefkowitz United States
Paolo Sassone‐Corsi France
Evan R. Simpson United States
Kevin Catt relative to Andrew V. Schally United States Andrew V. Schally's profile →
Citations per field
00.5×10.4×
Andrew V. Schally · 1×
Citations per year

Countries citing papers authored by Kevin Catt

Since Specialization
Citations

This map shows the geographic impact of Kevin Catt'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 Catt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Catt more than expected).

Fields of papers citing papers by Kevin Catt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Catt. 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 Catt. The network helps show where Kevin Catt may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kevin Catt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kevin Catt Line = papers co-authored together Kevin Catt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20192
3 201512
4 200619
5 199944
6 19944
7 199457
8 199121
9 198815
10 1988111
11 198730
12 198739
13
Hormone action and testicular function
198529
14 19808
15 1979146
16 197929
17
Angiotensin II receptors of the adrenal gland: location and modulation by cations and guanyl nucleotides.
19743
18 19706
19 196822
20 196140

About Kevin Catt

Kevin Catt is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 555 papers that have together received 37.4k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (158 papers), Receptor Mechanisms and Signaling (99 papers), Ovarian function and disorders (74 papers), Renin-Angiotensin System Studies (73 papers), Hormonal Regulation and Hypertension (70 papers), Growth Hormone and Insulin-like Growth Factors (69 papers), Sperm and Testicular Function (63 papers) and Reproductive Biology and Fertility (61 papers). The work is most often cited by research in Reproductive Medicine (11.0k citations), Behavioral Neuroscience (3.1k citations) and Endocrinology, Diabetes and Metabolism (11.7k citations). Kevin Catt has collaborated with scholars based in United States, Cameroon and Hungary. Frequent co-authors include Maria Dufau, Stanko S. Stojilković, Albert J. Baukal, G. Aguilera, Greti Aguilera, Tamás Balla, Richard N. Clayton, James P. Harwood, László Hunyady and Michael Knecht. Their work appears in journals such as Endocrinology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular Endocrinology and Molecular Pharmacology.

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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