David D. Avery

912 total citations
37 papers, 737 citations indexed

About

David D. Avery is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Social Psychology. According to data from OpenAlex, David D. Avery has authored 37 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 15 papers in Endocrine and Autonomic Systems and 11 papers in Social Psychology. Recurrent topics in David D. Avery's work include Neuropeptides and Animal Physiology (13 papers), Regulation of Appetite and Obesity (12 papers) and Neuroendocrine regulation and behavior (11 papers). David D. Avery is often cited by papers focused on Neuropeptides and Animal Physiology (13 papers), Regulation of Appetite and Obesity (12 papers) and Neuroendocrine regulation and behavior (11 papers). David D. Avery collaborates with scholars based in United States. David D. Avery's co-authors include John G. McCoy, Temple Grandin, Patricia E. Penn, Mike F. Hawkins, Bruce A. Wunder, Alex M. Babcock, Henry A. Cross, Henry Swan, Ted C. Schroeder and Ronald Green and has published in prestigious journals such as The Journal of Physiology, Cellular and Molecular Life Sciences and Life Sciences.

In The Last Decade

David D. Avery

35 papers receiving 687 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David D. Avery United States 17 349 238 153 141 138 37 737
C. L. McLaughlin United States 17 335 1.0× 284 1.2× 174 1.1× 155 1.1× 65 0.5× 30 872
Philip M.B. Leung United States 20 261 0.7× 392 1.6× 336 2.2× 215 1.5× 84 0.6× 33 1.1k
C. de la Riva United Kingdom 15 363 1.0× 118 0.5× 99 0.6× 130 0.9× 243 1.8× 21 761
F. Scott Kraly United States 20 335 1.0× 561 2.4× 336 2.2× 166 1.2× 163 1.2× 44 1.2k
John D. Stephenson United Kingdom 19 402 1.2× 109 0.5× 199 1.3× 197 1.4× 69 0.5× 47 880
Teiichiro Tonoue Japan 16 248 0.7× 99 0.4× 114 0.7× 170 1.2× 234 1.7× 42 764
C. Libertun Argentina 17 154 0.4× 191 0.8× 79 0.5× 212 1.5× 157 1.1× 62 951
G. Campbell Teskey Canada 16 344 1.0× 77 0.3× 217 1.4× 160 1.1× 128 0.9× 22 663
Leena A. Hilakivi Finland 17 462 1.3× 105 0.4× 88 0.6× 156 1.1× 252 1.8× 28 794
Harry J. Carlisle United States 15 132 0.4× 309 1.3× 323 2.1× 43 0.3× 114 0.8× 40 731

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-authorship network of co-authors of David D. Avery

This figure shows the co-authorship network connecting the top 25 collaborators of David D. Avery. A scholar is included among the top collaborators of David D. Avery based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David D. Avery. David D. Avery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Grandin, Temple, et al.. (2001). A note on hair whorl position and cattle temperament in the auction ring. Applied Animal Behaviour Science. 73(2). 93–101. 49 indexed citations
2.
Kinney, Jefferson W., et al.. (2001). Peripheral administration of urocortin suppresses operant responding for food reward. Peptides. 22(4). 583–587. 12 indexed citations
3.
Richards, Ralph W., et al.. (2001). Subchronic cocaine produces training paradigm-dependent learning deficits in laboratory rats. Pharmacology Biochemistry and Behavior. 68(3). 545–553. 20 indexed citations
4.
Grandin, Temple, et al.. (2000). The relationship between reaction to sudden, intermittent movements and sounds and temperament.. Journal of Animal Science. 78(6). 1467–1467. 81 indexed citations
5.
Rojas, Donald C., et al.. (1996). Adverse effects of dextromethorphan on the spatial learning of rats in the Morris water maze. European Journal of Pharmacology. 302(1-3). 7–12. 18 indexed citations
6.
Avery, David D., et al.. (1994). Effects of cocaine on dietary self-selection during pregnancy and lactation in the rat. Physiology & Behavior. 56(2). 305–310. 2 indexed citations
7.
Avery, David D., et al.. (1994). Food deprivation does not influence body or selection temperature in rats receiving intraventricular bombesin. Pharmacology Biochemistry and Behavior. 48(4). 881–885.
8.
McCoy, John G., et al.. (1993). The effects of cocaine on dietary self-selection in female rats. Physiology & Behavior. 54(3). 509–513. 17 indexed citations
9.
McCoy, John G., et al.. (1992). Capsaicin does not attenuate bombesin-induced suppression of operant responding for food reward. Peptides. 13(2). 343–347. 4 indexed citations
10.
McCoy, John G., et al.. (1991). An inexpensive gradient for temperature selection in rodents. Physiology & Behavior. 49(2). 397–399. 1 indexed citations
11.
Avery, David D., et al.. (1991). The effects of pregnancy and lactation on dietary self-selection in the rat. Physiology & Behavior. 49(4). 811–813. 6 indexed citations
12.
McCoy, John G., et al.. (1990). The effects of intraventricular injections of bombesin on temperature selection in the rat. Brain Research Bulletin. 25(1). 173–177. 5 indexed citations
13.
Avery, David D., et al.. (1990). Bombesin Improves Rats' Operant Responding Maintained by a Differential-Reinforcement-of-Low-Rates Schedule of Food Reinforcement. Psychological Reports. 66(1). 131–138. 3 indexed citations
14.
McCoy, John G., et al.. (1990). Intake of individual macronutrients following IP injections of BBS and CCK in rats. Peptides. 11(2). 221–225. 15 indexed citations
15.
McCoy, John G. & David D. Avery. (1990). Bombesin: Potential integrative peptide for feeding and satiety. Peptides. 11(3). 595–607. 100 indexed citations
16.
Babcock, Alex M., et al.. (1985). Suppression of operant responding for food and water reinforcement following intraventricular injections of Bombesin in the rat. Life Sciences. 36(10). 981–985. 7 indexed citations
17.
Cross, Henry A., et al.. (1978). Resistance to Extinction as a Function of Reinforcement Schedule and Training Level: A Test of Theios and Brelsford's Theory. Psychological Reports. 42(3_suppl). 1091–1096. 1 indexed citations
18.
Avery, David D., Henry A. Cross, & Ted C. Schroeder. (1974). The effects of tetraethyl lead on behavior in the rat. Pharmacology Biochemistry and Behavior. 2(4). 473–479. 19 indexed citations
19.
Schroeder, Ted C., David D. Avery, & Henry A. Cross. (1972). Tetraethyl lead dose response curve for mortality in laboratory rats. Cellular and Molecular Life Sciences. 28(8). 923–924. 4 indexed citations
20.
Lipton, James M., et al.. (1970). Determinants of behavioral thermoregulation against heat: Thermal intensity and skin temperature levels. Physiology & Behavior. 5(10). 1083–1088. 13 indexed citations

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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