David E. Kuehl

812 citations
26 papers · 693 · h-index 17

Impact in

Papers in

David E. Kuehl

26 papers receiving 678 citations

Peers

David E. Kuehl
Comparison fields: 5 of 53
  • Reproductive Medicine 404
  • Endocrine and Autonomic Systems 180
  • Behavioral Neuroscience 90
  • Agronomy and Crop Science 177
  • Social Psychology 186
Replace F. Przekop with:
F. Przekop Poland
VERNON L. GAY United States
Luis I. Aguado Argentina
Gregory B. Thomas Australia
G. E. Webley United Kingdom
Amy E. Oakley United States
Jolanta Polkowska Poland
Richard F. Weick Canada
Alexandra Rao Australia
A. N. Bhattacharya United States
David E. Kuehl relative to F. Przekop Poland F. Przekop's profile →
Citations per field
00.5×1.7×
F. Przekop · 1×
Citations per year

Countries citing papers authored by David E. Kuehl

Since Specialization
Citations

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

Fields of papers citing papers by David E. Kuehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Kuehl. 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 David E. Kuehl. The network helps show where David E. Kuehl may publish in the future.

Co-authors

The 22 scholars most cited alongside David E. Kuehl, 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 David E. Kuehl Line = papers co-authored together David E. Kuehl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199171
2 200265
3 199753
4 198547
5 198241
6 197838
7 199335
8
Gamma-aminobutyric acid (GABA) regulation of GnRH secretion in sheep.
200233
9 199631
10 199631
11 198828
12 199826
13 198526
14 199724
15 199523
16 198918
17 199818
18 200015
19 199415
20 200413

About David E. Kuehl

David E. Kuehl is a scholar working on Reproductive Medicine, Social Psychology, Endocrine and Autonomic Systems, Agronomy and Crop Science and Behavioral Neuroscience, having authored 26 papers that have together received 693 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (17 papers), Neuroendocrine regulation and behavior (11 papers), Reproductive Physiology in Livestock (7 papers), Regulation of Appetite and Obesity (5 papers), Stress Responses and Cortisol (5 papers), Ovarian function and disorders (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Reproductive Medicine (404 citations), Endocrine and Autonomic Systems (180 citations), Behavioral Neuroscience (90 citations), Agronomy and Crop Science (177 citations) and Social Psychology (186 citations). David E. Kuehl has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Gary L. Jackson, Christopher Scott, Stanley M. Hileman, Suzie A. Ferreira, K. K. Schillo, Laura S. Lubbers, Heiko T. Jansen, Amanda L. Zaleski, Cleida A. Oliveira and Rong Nie. Their work appears in journals such as Biology of Reproduction, Endocrinology, Journal of Neuroendocrinology, Domestic Animal Endocrinology and Neuroendocrinology.

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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