Kenneth E. Moore

3.4k citations
99 papers · 2.7k indexed · h-index 30

Impact in

Papers in

Kenneth E. Moore

95 papers receiving 2.6k citations

Peers

Kenneth E. Moore
Comparison fields: 5 of 152
  • Behavioral Neuroscience 313
  • Reproductive Medicine 557
  • Cellular and Molecular Neuroscience 1.1k
  • Endocrine and Autonomic Systems 389
  • Endocrinology, Diabetes and Metabolism 507
Replace U. Scapagnini with:
U. Scapagnini Italy
John S. Kizer United States
J.H. Gordon United States
Anders Nobin Sweden
Paola S. Timiras United States
Thomas C. Westfall United States
István M. Ábrahám Hungary
Guy Simonnet France
Glen R. Van Loon United States
A Goldstein United States
Kenneth E. Moore relative to U. Scapagnini Italy U. Scapagnini's profile →
Citations per field
00.5×1.5×
U. Scapagnini · 1×
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-authorship network

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
#Work
1 20230
2 20114
3 20096
4 20093
5 200464
6 20009
7 199714
8 199325
9 19929
10 19915
11 199112
12 199022
13 19903
14 198529
15 198411
16 19811
17 19802
18
Drug-induced dopaminergic supersensitivity.
197550
19 196515
20 196125

About Kenneth E. Moore

Kenneth E. Moore is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 99 papers that have together received 2.7k 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), Biochemical effects in animals (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Neuroendocrine regulation and behavior (7 papers) and Stress Responses and Cortisol (5 papers). The work is most often cited by research in Behavioral Neuroscience (313 citations), Reproductive Medicine (557 citations), Cellular and Molecular Neuroscience (1.1k citations), Endocrine and Autonomic Systems (389 citations) and Endocrinology, Diabetes and Metabolism (507 citations). Kenneth E. Moore has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Keith T. Demarest, Gail D. Riegle, Peter H. Kelly, P. F. VON VOIGTLANDER, Gary A. Gudelsky, Keith J. Lookingland, Gregory P. Mueller, J. Meites, James Simpkins and K.J. Lookingland. Their work appears in journals such as Neuroendocrinology, Brain Research, Journal of Pharmacy and Pharmacology, Journal of Pharmacology and Experimental Therapeutics 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.

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