Robert Gaunt

1.5k citations
32 papers · 702 · h-index 16

Impact in

Papers in

Robert Gaunt

30 papers receiving 466 citations

Peers

Robert Gaunt
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 361
  • Behavioral Neuroscience 59
  • Biochemistry 44
  • Pharmacology 41
  • Nephrology 32
Replace Alfred A. Renzi with:
Alfred A. Renzi United States
R Oslapas United States
S. A. S. Tait United States
BA Scoggins Australia
Frank M. Sturtevant United States
Paul Vecsei Germany
Eduardo N. Cozza United States
Marelyn Wintour Australia
Sumio Shima Japan
Rex D. Stith United States
Robert Gaunt relative to Alfred A. Renzi United States Alfred A. Renzi's profile →
Citations per field
00.5×1.5×2.2×
Alfred A. Renzi · 1×
Citations per year

Countries citing papers authored by Robert Gaunt

Since Specialization
Citations

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

Fields of papers citing papers by Robert Gaunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Robert Gaunt, 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 Robert Gaunt Line = papers co-authored together Robert Gaunt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972119
2 195495
3 195573
4 196836
5 195131
6 196131
7 195924
8 196224
9 197223
10 195322
11 197219
12 195518
13 196818
14 196518
15 196717
16 195316
17 197016
18
Hormones and body water
195114
19 197413
20 196213

About Robert Gaunt

Robert Gaunt is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry, Behavioral Neuroscience, Pulmonary and Respiratory Medicine and Modeling and Simulation, having authored 32 papers that have together received 702 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (19 papers), Adrenal Hormones and Disorders (8 papers), Hormonal and reproductive studies (7 papers), Electrolyte and hormonal disorders (5 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Stress Responses and Cortisol (3 papers), Estrogen and related hormone effects (2 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (361 citations), Behavioral Neuroscience (59 citations), Biochemistry (44 citations), Pharmacology (41 citations) and Nephrology (32 citations). Robert Gaunt has collaborated with scholars based in United States. Frequent co-authors include Alfred A. Renzi, J. J. Chart, James C. Melby, Sidney L. Dale, Roger J. Grekin, Thomas E. Wilson, Gloria J. Miller, ELVIRA GISOLDI, Bernard G. Steinetz and Nancy J. Smith. Their work appears in journals such as Endocrinology, American Journal of Physiology-Legacy Content, Toxicology and Applied Pharmacology, Reviews of physiology, biochemistry and pharmacology and The Journal of Clinical Endocrinology & Metabolism.

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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