Gareth W. John

1.3k citations
65 papers · 1.1k indexed · h-index 21

Impact in

Papers in

Gareth W. John

63 papers receiving 1.1k citations

Peers

Gareth W. John
Comparison fields: 5 of 107
  • Cellular and Molecular Neuroscience 270
  • Cardiology and Cardiovascular Medicine 309
  • Biochemistry 64
  • Psychiatry and Mental health 124
  • Molecular Biology 522
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Matomo Nishio Japan
Derek S. Damron United States
Michael L. Selley Australia
Fen‐Fang Hong China
T. Godfraind Belgium
Keshore R. Bidasee United States
L. Puglisi Italy
A.I. Ally Canada
Enrique Alborch Spain
Donald W. DuCharme United States
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Citations per field
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Citations per year

Countries citing papers authored by Gareth W. John

Since Specialization
Citations

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

Fields of papers citing papers by Gareth W. John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gareth W. John. 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 Gareth W. John. The network helps show where Gareth W. John may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200612
2 20052
3 20049
4 20034
5 20034
6 200215
7 20029
8 200146
9 20006
10 199812
11 19981
12 19975
13 199642
14 199511
15 199524
16 19955
17 19942
18 199311
19 19913
20 19904

About Gareth W. John

Gareth W. John is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Biochemistry and Psychiatry and Mental health, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (17 papers), Cardiac electrophysiology and arrhythmias (16 papers), Migraine and Headache Studies (12 papers), Receptor Mechanisms and Signaling (12 papers), Nitric Oxide and Endothelin Effects (11 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Neuroscience and Neuropharmacology Research (6 papers) and Eicosanoids and Hypertension Pharmacology (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (270 citations), Cardiology and Cardiovascular Medicine (309 citations), Biochemistry (64 citations), Psychiatry and Mental health (124 citations) and Molecular Biology (522 citations). Gareth W. John has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Bruno Le Grand, Jean‐Pierre Valentin, Petrus J. Pauwels, Françis C. Colpaert, Alain Coulombe, Jean‐Pierre Valentin, J. Anthony Ware, Shumin Zhao, Sylvia O. Suadicani and Ryoji Yokota. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology, European Journal of Pharmacology and Naunyn-Schmiedeberg s Archives of Pharmacology.

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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