Gail Dunphy

29 papers receiving 630 citations

Peers

Gail Dunphy
Comparison fields: 5 of 91
  • Behavioral Neuroscience 90
  • Endocrinology, Diabetes and Metabolism 154
  • Cardiology and Cardiovascular Medicine 135
  • Endocrine and Autonomic Systems 37
  • Genetics 155
Replace Low Tone Ho with:
Low Tone Ho Taiwan
A. L. Markel Russia
Susan L. Forbes United States
Yukiko Kinoshita Japan
Werner Kern Germany
Matteo Pieri Italy
Sherry A. Marts United States
Jonathan Moss United States
Guy R. Brisson Canada
J.J. Legros Belgium
Gail Dunphy relative to Low Tone Ho Taiwan Low Tone Ho's profile →
Citations per field
00.5×2.8×
Low Tone Ho · 1×
Citations per year

Countries citing papers authored by Gail Dunphy

Since Specialization
Citations

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

Fields of papers citing papers by Gail Dunphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail Dunphy. 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 Gail Dunphy. The network helps show where Gail Dunphy may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200463
2 199756
3 200346
4 199440
5 199835
6 200933
7 200730
8 200830
9 200927
10 200227
11 200226
12 200323
13 199823
14 199221
15
Physiological and neuroendocrine correlates of social position in normotensive and hypertensive rat colonies.
199721
16 200719
17 200118
18 201117
19 200417
20 201014

About Gail Dunphy

Gail Dunphy is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Behavioral Neuroscience, Molecular Biology and Genetics, having authored 29 papers that have together received 648 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (7 papers), Stress Responses and Cortisol (7 papers), Renin-Angiotensin System Studies (6 papers), Hormonal and reproductive studies (4 papers), Cardiac Ischemia and Reperfusion (3 papers), Adipose Tissue and Metabolism (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Behavioral Neuroscience (90 citations), Endocrinology, Diabetes and Metabolism (154 citations), Cardiology and Cardiovascular Medicine (135 citations), Endocrine and Autonomic Systems (37 citations) and Genetics (155 citations). Gail Dunphy has collaborated with scholars based in United States, Hungary and Brazil. Frequent co-authors include Daniel Ely, Monte E. Turner, Amy Milsted, Karen A. Schwarz, Shannon Boehme, Darcie D. Seachrist, Hamid Daneshvar, Esther L. Sabban, Lidia Serova and M A Takiyyuddin. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, BMC Physiology, Hypertension, The Journal of Steroid Biochemistry and Molecular Biology and Journal of Applied Physiology.

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.

Explore authors with similar magnitude of impact