Richard A. Gaunt

1.1k citations
30 papers · 261 indexed · h-index 8

Richard A. Gaunt

22 papers receiving 188 citations

Peers

Richard A. Gaunt
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 94
  • Behavioral Neuroscience 18
  • Pharmacology 20
  • Biochemistry 12
  • Cellular and Molecular Neuroscience 24
Replace Sylvia Agnes Sophia Tait with:
Sylvia Agnes Sophia Tait United States
S. Saltman United States
Susumu Mizogami Japan
HEIDI MOVER United States
Ann Ruhmann‐Wennhold United States
Mahmoud F. El-Refai United States
Harold Levy United States
N Autissier France
G Galindo France
W G Strickland United States
Richard A. Gaunt relative to Sylvia Agnes Sophia Tait United States Sylvia Agnes Sophia Tait's profile →
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Citations per year

Countries citing papers authored by Richard A. Gaunt

Since Specialization
Citations

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

Fields of papers citing papers by Richard A. Gaunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Richard A. 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 Richard A. Gaunt Line = papers co-authored together Richard A. Gaunt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20181
2 20150
3 20140
4 20121
5 20122
6 201019
7 20104
8 20032
9
T/v Exxon Valdez oil spill: Federal on scene coordinator's report. Volume 1. Final report, 24 March 1989-10 June 1992
19931
10 19692
11 19679
12
Comparative endocrinology: hormones and receptor response.
19672
13 19673
14 19605
15 1958101
16 195716
17 19565
18 195541
19 19549
20 19549

About Richard A. Gaunt

Richard A. Gaunt is a scholar working on History, Museology and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 261 indexed citations. Recurring topics across this work include Historical Economic and Social Studies (6 papers), Hormonal Regulation and Hypertension (6 papers), Scottish History and National Identity (5 papers), Electrolyte and hormonal disorders (3 papers), Oil Spill Detection and Mitigation (2 papers), Hormonal and reproductive studies (2 papers), European Political History Analysis (2 papers) and Historical Studies on Reproduction, Gender, Health, and Societal Changes (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (94 citations), Behavioral Neuroscience (18 citations) and Pharmacology (20 citations). Richard A. Gaunt has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include J. J. Chart, W. L. Bencze, Herbert Sheppard, A. A. Renzi, A. J. Plummer, Jürg Schneider, B. Patrick Sullivan, Paul Robinson, Terry McCormack and Peter Harvey.

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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