J. Jay Gargus

21 total papers · 837 total citations
15 papers, 674 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 674 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, Hiroaki Tomita, Michael D. Cahalan, Déborah Morris-Rosendahl, Rth Ho, 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 655 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
J. Jay Gargus	470	319	166	155	113	15	674
Benedetta Terragni	502 1.1×	255 0.8×	53 0.3×	296 1.9×	102 0.9×	16	710
Cinzia Baschirotto	388 0.8×	261 0.8×	96 0.6×	61 0.4×	126 1.1×	17	722
Juan Manuel Arias	500 1.1×	350 1.1×	34 0.2×	184 1.2×	67 0.6×	17	595
Eric A. Smith	523 1.1×	436 1.4×	137 0.8×	209 1.3×	64 0.6×	14	779
Lisa M. Sharkey	520 1.1×	400 1.3×	121 0.7×	57 0.4×	144 1.3×	29	776
Emily A. Slat	394 0.8×	325 1.0×	73 0.4×	90 0.6×	149 1.3×	12	655
Alexandra Pinggera	480 1.0×	272 0.9×	67 0.4×	234 1.5×	24 0.2×	13	684
Oleg Shamotienko	591 1.3×	392 1.2×	100 0.6×	132 0.9×	15 0.1×	12	738
Dorothy M. Jones	333 0.7×	469 1.5×	101 0.6×	34 0.2×	174 1.5×	21	761
Peter J. Craig	569 1.2×	440 1.4×	23 0.1×	89 0.6×	45 0.4×	17	706

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

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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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