Kenneth E. Moore

3.4k citations
99 papers · 2.0k · h-index 26

Impact in

Papers in

Kenneth E. Moore

93 papers receiving 1.9k citations

Peers

Kenneth E. Moore
Comparison fields: 5 of 150
  • Behavioral Neuroscience 156
  • Cellular and Molecular Neuroscience 823
  • Endocrine and Autonomic Systems 220
  • Reproductive Medicine 255
  • Endocrinology, Diabetes and Metabolism 263
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A. Horita United States
Saul Maayani United States
K. Andersson Sweden
George G. Yarbrough United States
U. Scapagnini Italy
Thomas C. Westfall United States
Bradley V. Clineschmidt United States
Frank P. Zemlan United States
S. Spector United States
Guy Simonnet France
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Citations per year

Countries citing papers authored by Kenneth E. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth E. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kenneth E. Moore, 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 Kenneth E. Moore Line = papers co-authored together Kenneth E. Moore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973165
2 1976149
3 1997144
4 197889
5 198471
6 196668
7 200464
8 198259
9 196956
10 197756
11 197651
12 197050
13 197350
14
Drug-induced dopaminergic supersensitivity.
197549
15 201144
16 200243
17 197843
18
Influence of prolactin on dopaminergic neuronal systems in the hypothalamus.
198040
19 197939
20 196736

About Kenneth E. Moore

Kenneth E. Moore is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Physiology and Molecular Biology, having authored 99 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (25 papers), Growth Hormone and Insulin-like Growth Factors (13 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Regulation of Appetite and Obesity (9 papers), Neuroendocrine regulation and behavior (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Biochemical effects in animals (7 papers) and Stress Responses and Cortisol (5 papers). The work is most often cited by research in Behavioral Neuroscience (156 citations), Cellular and Molecular Neuroscience (823 citations), Endocrine and Autonomic Systems (220 citations), Reproductive Medicine (255 citations) and Endocrinology, Diabetes and Metabolism (263 citations). Kenneth E. Moore has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Peter H. Kelly, Keith T. Demarest, P. F. VON VOIGTLANDER, Gail D. Riegle, K.J. Lookingland, Gary A. Gudelsky, Gerald Gianutsos, Peter C. Dedon, Laura J. Kennedy and Steven R. Tannenbaum. Their work appears in journals such as Neuroendocrinology, Brain Research, Journal of Pharmacy and Pharmacology, Endocrinology and Journal of Pharmacology and Experimental Therapeutics.

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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