Jon T. Sack

1.3k citations
44 papers · 895 · h-index 17

Impact in

Papers in

Jon T. Sack

41 papers receiving 879 citations

Peers

Jon T. Sack
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 304
  • Cardiology and Cardiovascular Medicine 229
  • Sensory Systems 52
  • Molecular Biology 668
  • Molecular Medicine 25
Replace D. J. Black with:
D. J. Black United States
Eric A. Ertel Switzerland
Maria Musgaard United Kingdom
Valeria Vásquez United States
Roland Schönherr Germany
Eugene N. Bush United States
Óscar Teijido United States
Tsukasa Kusakizako Japan
Liang Dong United States
Marina A. Kasimova United States
Jon T. Sack relative to D. J. Black United States D. J. Black's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jon T. Sack

Since Specialization
Citations

This map shows the geographic impact of Jon T. Sack'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 Jon T. Sack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon T. Sack more than expected).

Fields of papers citing papers by Jon T. Sack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon T. Sack. 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 Jon T. Sack. The network helps show where Jon T. Sack may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014238
2 201497
3 201567
4 201850
5 201435
6 200331
7 201831
8 201530
9 201030
10 200729
11 200827
12 200621
13 201521
14 201820
15 202218
16 200417
17 201917
18 202215
19 201814
20 20219

About Jon T. Sack

Jon T. Sack is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Physiology and Cell Biology, having authored 44 papers that have together received 895 indexed citations. Recurring topics across this work include Ion channel regulation and function (38 papers), Cardiac electrophysiology and arrhythmias (25 papers), Neuroscience and Neuropharmacology Research (12 papers), Nicotinic Acetylcholine Receptors Study (8 papers), Neuroscience and Neural Engineering (5 papers), Receptor Mechanisms and Signaling (5 papers), Cellular transport and secretion (3 papers) and Cardiomyopathy and Myosin Studies (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (304 citations), Cardiology and Cardiovascular Medicine (229 citations), Sensory Systems (52 citations), Molecular Biology (668 citations) and Molecular Medicine (25 citations). Jon T. Sack has collaborated with scholars based in United States, Japan and Ireland. Frequent co-authors include James S. Trimmer, Oleg Shamotienko, J. Oliver Dolly, Richard W. Aldrich, Daniel C. Austin, Drew C. Tilley, Helgi I. Ingólfsson, Olaf S. Andersen, K. Hall and Nicole Ramsey. Their work appears in journals such as The Journal of General Physiology, Biophysical Journal, eLife, Frontiers in Pharmacology and Journal of Biological Chemistry.

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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