David D. Avery

912 citations
37 papers · 737 · h-index 17

Impact in

Papers in

David D. Avery

35 papers receiving 687 citations

Peers

David D. Avery
Comparison fields: 5 of 86
  • Endocrine and Autonomic Systems 238
  • Behavioral Neuroscience 74
  • Cellular and Molecular Neuroscience 349
  • Small Animals 98
  • Animal Science and Zoology 125
Replace Gayle A. Olson with:
Gayle A. Olson United States
C. L. McLaughlin United States
Harry J. Carlisle United States
John D. Stephenson United Kingdom
A.J. Zolovick United States
F. Przekop Poland
Philip M.B. Leung United States
Teiichiro Tonoue Japan
S.V. Vellucci United Kingdom
J. A. Thornhill Canada
David D. Avery relative to Gayle A. Olson United States Gayle A. Olson's profile →
Citations per field
00.5×2.6×
Gayle A. Olson · 1×
Citations per year

Countries citing papers authored by David D. Avery

Since Specialization
Citations

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

Fields of papers citing papers by David D. Avery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside David D. Avery, 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 D. Avery Line = papers co-authored together David D. Avery links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990100
2 200081
3 200149
4 198046
5 197140
6 197239
7 198238
8 198129
9 198528
10 197026
11 198623
12 200120
13 198420
14 197419
15 197419
16 199618
17 199317
18 199015
19 197315
20 197013

About David D. Avery

David D. Avery is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Social Psychology, Molecular Biology and Physiology, having authored 37 papers that have together received 737 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (13 papers), Regulation of Appetite and Obesity (12 papers), Neuroendocrine regulation and behavior (11 papers), Receptor Mechanisms and Signaling (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Stress Responses and Cortisol (5 papers), Circadian rhythm and melatonin (4 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (238 citations), Behavioral Neuroscience (74 citations), Cellular and Molecular Neuroscience (349 citations), Small Animals (98 citations) and Animal Science and Zoology (125 citations). David D. Avery has collaborated with scholars based in United States. Frequent co-authors include John G. McCoy, Temple Grandin, Patricia E. Penn, Mike F. Hawkins, Bruce A. Wunder, Ted C. Schroeder, Henry A. Cross, Alex M. Babcock, Henry Swan and Ronald Green. Their work appears in journals such as Neuropharmacology, Pharmacology Biochemistry and Behavior, Physiology & Behavior, Peptides and Cellular and Molecular Life Sciences.

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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