Jon T. Sack

1.3k citations
43 papers · 853 · h-index 17

Impact in

Papers in

Jon T. Sack

39 papers receiving 845 citations

Peers

Jon T. Sack
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 303
  • Sensory Systems 54
  • Cardiology and Cardiovascular Medicine 223
  • Molecular Biology 656
  • Molecular Medicine 23
Replace Eric A. Ertel with:
Eric A. Ertel Switzerland
D. J. Black United States
Maria Musgaard United Kingdom
Aldo A. Rodríguez‐Menchaca Mexico
Liang Dong China
Tsukasa Kusakizako Japan
Eugene N. Bush United States
Marina A. Kasimova United States
Valeria Vásquez United States
Anna Stary‐Weinzinger Austria
Jon T. Sack relative to Eric A. Ertel Switzerland Eric A. Ertel's profile →
Citations per field
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Eric A. Ertel · 1×
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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014225
2 201492
3 201566
4 201848
5 201434
6 200330
7 201530
8 201829
9 200728
10 201026
11 200826
12 201521
13 200621
14 201819
15 202217
16 201916
17 200416
18 202215
19 201814
20 20228

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 43 papers that have together received 853 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), Cardiomyopathy and Myosin Studies (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (303 citations), Sensory Systems (54 citations), Cardiology and Cardiovascular Medicine (223 citations), Molecular Biology (656 citations) and Molecular Medicine (23 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, Olaf S. Andersen, Helgi I. Ingólfsson, K. Hall and Bruce E. Cohen. Their work appears in journals such as The Journal of General Physiology, Biophysical Journal, eLife, Journal of Biological Chemistry and Frontiers in 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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