Gary S. Wand

183 papers receiving 9.1k citations

Peers

Gary S. Wand
Comparison fields: 5 of 157
  • Behavioral Neuroscience 2.3k
  • Biological Psychiatry 645
  • Cellular and Molecular Neuroscience 2.2k
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Endocrine and Autonomic Systems 323
Replace Annemieke Kavelaars with:
Annemieke Kavelaars Netherlands
C. Neill Epperson United States
Markku Linnoila United States
Mitchel A. Kling United States
Owen M. Wolkowitz United States
Alasdair M. Barr Canada
Victor I. Reus United States
Undine E. Lang Switzerland
Synthia H. Mellon United States
Bernard Lerer Israel
Gary S. Wand relative to Annemieke Kavelaars Netherlands Annemieke Kavelaars's profile →
Citations per field
00.5×3.4×
Annemieke Kavelaars · 1×
Citations per year

Countries citing papers authored by Gary S. Wand

Since Specialization
Citations

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

Fields of papers citing papers by Gary S. Wand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary S. Wand. 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 Gary S. Wand. The network helps show where Gary S. Wand may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006294
2 2005244
3 2006231
4 2010223
5 2006221
6 2007220
7 2002217
8 1991215
9 2005210
10 2004204
11 2015198
12 2008181
13 2001181
14 2010154
15 2008148
16 2001135
17 2007133
18 2003130
19 2005130
20 2007125

About Gary S. Wand

Gary S. Wand is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology, having authored 185 papers that have together received 9.5k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (57 papers), Neurotransmitter Receptor Influence on Behavior (38 papers), Pituitary Gland Disorders and Treatments (23 papers), Receptor Mechanisms and Signaling (17 papers), Hormonal Regulation and Hypertension (14 papers), Neuroendocrine regulation and behavior (13 papers), Neuropeptides and Animal Physiology (13 papers) and Tryptophan and brain disorders (11 papers). The work is most often cited by research in Behavioral Neuroscience (2.3k citations), Biological Psychiatry (645 citations), Cellular and Molecular Neuroscience (2.2k citations), Endocrinology, Diabetes and Metabolism (1.4k citations) and Endocrine and Autonomic Systems (323 citations). Gary S. Wand has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include Mary E. McCaul, Lynn M. Oswald, Magdalena Uhart, Xiaoju Yang, Hiroto Kuwabara, Sherita Hill Golden, Dean F. Wong, Michael A. Levine, Adrian S. Dobs and James B. Potash. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Psychoneuroendocrinology, The Journal of Clinical Endocrinology & Metabolism, Neuropsychopharmacology and Addiction Biology.

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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