David D. Avery

913 citations
37 papers · 803 · h-index 17

Impact in

Papers in

David D. Avery

35 papers receiving 735 citations

Peers

David D. Avery
Comparison fields: 5 of 89
  • Endocrine and Autonomic Systems 250
  • Behavioral Neuroscience 77
  • Cellular and Molecular Neuroscience 366
  • Small Animals 107
  • Animal Science and Zoology 133
Replace Gayle A. Olson with:
Gayle A. Olson United States
Theo J.J. Zethof Netherlands
J. A. Thornhill Canada
C. L. McLaughlin United States
John D. Stephenson United Kingdom
Teiichiro Tonoue Japan
S.V. Vellucci United Kingdom
Ann D. Crocker Australia
Juan P. Advis United States
Etsuko Kasuya Japan
David D. Avery relative to Gayle A. Olson United States Gayle A. Olson's profile →
Citations per field
00.5×3.0×
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 1990104
2 200092
3 200152
4 198052
5 197143
6 197241
7 198241
8 198133
9 197029
10 198528
11 197424
12 198424
13 198623
14 197421
15 199621
16 200120
17 199319
18 199016
19 197316
20 197015

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 803 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 Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (250 citations), Behavioral Neuroscience (77 citations), Cellular and Molecular Neuroscience (366 citations), Small Animals (107 citations) and Animal Science and Zoology (133 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, Henry A. Cross, Ted C. Schroeder, Henry Swan, Alex M. Babcock and Ronald Green. Their work appears in journals such as Neuropharmacology, Physiology & Behavior, Pharmacology Biochemistry and 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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