Keith T. Demarest

146 papers receiving 4.6k citations

Peers

Keith T. Demarest
Comparison fields: 5 of 122
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Endocrine and Autonomic Systems 318
  • Behavioral Neuroscience 160
  • Cellular and Molecular Neuroscience 781
  • Reproductive Medicine 275
Replace Victor J. Lotti with:
Victor J. Lotti United States
Jean‐Pierre Maffrand France
Keisuke Hirai Japan
J. Paul Hieble United States
Marlene L. Cohen United States
Ana Pérez‐Castillo Spain
Antonio Giachetti Italy
Pieter B.M.W.M. Timmermans United States
Pattie S. Green United States
Beth E. Dunning United States
Keith T. Demarest relative to Victor J. Lotti United States Victor J. Lotti's profile →
Citations per field
00.5×3.4×
Victor J. Lotti · 1×
Citations per year

Countries citing papers authored by Keith T. Demarest

Since Specialization
Citations

This map shows the geographic impact of Keith T. Demarest'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 Keith T. Demarest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith T. Demarest more than expected).

Fields of papers citing papers by Keith T. Demarest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith T. Demarest. 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 Keith T. Demarest. The network helps show where Keith T. Demarest may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011255
2 2007248
3 2012201
4 2003171
5 2004167
6 1999152
7 1980126
8 1979118
9 1980102
10 199098
11 197996
12 201290
13 199681
14 200780
15 201579
16 200979
17 198075
18 200372
19 200572
20 198259

About Keith T. Demarest

Keith T. Demarest is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Reproductive Medicine and Social Psychology, having authored 147 papers that have together received 4.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (24 papers), Neuroendocrine regulation and behavior (21 papers), Hypothalamic control of reproductive hormones (21 papers), Diabetes Treatment and Management (18 papers), Peroxisome Proliferator-Activated Receptors (17 papers), Neurotransmitter Receptor Influence on Behavior (16 papers), Metabolism, Diabetes, and Cancer (13 papers) and Drug Transport and Resistance Mechanisms (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Endocrine and Autonomic Systems (318 citations), Behavioral Neuroscience (160 citations), Cellular and Molecular Neuroscience (781 citations) and Reproductive Medicine (275 citations). Keith T. Demarest has collaborated with scholars based in United States, Belgium and Norway. Frequent co-authors include Kenneth E. Moore, Kenneth E. Moore, Yin Liang, Lubing Zhou, Patricia D. Pelton, Gail D. Riegle, Ellen V. Cryan, Gee‐Hong Kuo, Thomas P. Burris and Melville C. Osborne. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Neuroendocrinology, Journal of Medicinal Chemistry, Journal of Neural Transmission and Brain Research.

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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