J. Jay Gargus

839 total citations
15 papers, 676 citations indexed

About

J. Jay Gargus is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, J. Jay Gargus has authored 15 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in J. Jay Gargus's work include Ion channel regulation and function (8 papers), Genetic Neurodegenerative Diseases (6 papers) and Cardiac electrophysiology and arrhythmias (4 papers). J. Jay Gargus is often cited by papers focused on Ion channel regulation and function (8 papers), Genetic Neurodegenerative Diseases (6 papers) and Cardiac electrophysiology and arrhythmias (4 papers). J. Jay Gargus collaborates with scholars based in United States, France and Switzerland. J. Jay Gargus's co-authors include K. George Chandy, Anne Tournay, Emmanuelle Fantino, Katalin Kálmán, Michael D. Cahalan, Hiroaki Tomita, M.A. Crocq, Déborah Morris-Rosendahl, Rohan Ganguli and Vishwajit L. Nimgaonkar and has published in prestigious journals such as Journal of Biological Chemistry, Biological Psychiatry and Biophysical Journal.

In The Last Decade

J. Jay Gargus

15 papers receiving 657 citations

Peers

J. Jay Gargus
Comparison fields: 5 of 73
  • Molecular Biology 470
  • Cellular and Molecular Neuroscience 319
  • Genetics 166
  • Cardiology and Cardiovascular Medicine 155
  • Psychiatry and Mental health 113
Replace Emily A. Slat with:
Emily A. Slat United States
Tetsuya Tatsukawa Japan
Peter J. Craig United Kingdom
Henk A. Spierenburg Netherlands
Greer S. Kirshenbaum Canada
Noboru Kitamura Japan
Juan M. Gómez‐Hernández Spain
D. Samolyk France
Joseph A. Gogos United States
Patrizia Aracri Italy
Emily A. Slat United States View profile →
Citations per field, relative to J. Jay Gargus
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Citations per year, relative to J. Jay Gargus
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Countries citing papers authored by J. Jay Gargus

Since Specialization
Citations

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

Fields of papers citing papers by J. Jay Gargus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Jay Gargus. 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 J. Jay Gargus. The network helps show where J. Jay Gargus may publish in the future.

Co-authorship network of co-authors of J. Jay Gargus

This figure shows the co-authorship network connecting the top 25 collaborators of J. Jay Gargus. A scholar is included among the top collaborators of J. Jay Gargus based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Jay Gargus. J. Jay Gargus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 53
2 2
3 50
4 1
5 74
6 41
7 21
8 99
9 47
10 30
11
CAG repeats in a K+ channel gene, hKCA3: A candidate for schizophrenia and bipolar disorder?
1
12 178
13 57
14 3
15 19

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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2026