John D. Tompkins

1.4k citations
34 papers · 805 indexed · h-index 15

Impact in

Papers in

John D. Tompkins

34 papers receiving 799 citations

Peers

John D. Tompkins
Comparison fields: 5 of 78
  • Cellular and Molecular Neuroscience 370
  • Neurology 85
  • Endocrine and Autonomic Systems 59
  • Cardiology and Cardiovascular Medicine 194
  • Sensory Systems 32
Replace Jean C. Hardwick with:
Jean C. Hardwick United States
Louis N. Manganas United States
Wei-Zheng Zeng China
Najate Benamer France
Antony Horton United Kingdom
Maria M. Kreuzberg Germany
Tim Cowen United Kingdom
Terence H. Williams United States
G. Trevor Cottrell United States
John D. Tompkins relative to Jean C. Hardwick United States Jean C. Hardwick's profile →
Citations per field
00.5×4.0×
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Citations per year

Countries citing papers authored by John D. Tompkins

Since Specialization
Citations

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

Fields of papers citing papers by John D. Tompkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20241
4 20226
5 2019127
6 20195
7 2019242
8 201710
9
Abstract 16717: Customizable High-density Microelectrode Arrays for Murine Cardiac Electrophysiology
20161
10 201222
11 201118
12 200921
13 200922
14 20083
15 200819
16 200736
17 20062
18 200525
19 200420
20 199913

About John D. Tompkins

John D. Tompkins is a scholar working on Cellular and Molecular Neuroscience, Physiology, Cardiology and Cardiovascular Medicine, Neurology and Urology, having authored 34 papers that have together received 805 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (18 papers), Receptor Mechanisms and Signaling (16 papers), Heart Rate Variability and Autonomic Control (8 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers), Cardiac electrophysiology and arrhythmias (5 papers), Ion channel regulation and function (4 papers), Vagus Nerve Stimulation Research (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (370 citations), Neurology (85 citations), Endocrine and Autonomic Systems (59 citations), Cardiology and Cardiovascular Medicine (194 citations) and Sensory Systems (32 citations). John D. Tompkins has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Rodney L. Parsons, Kalyanam Shivkumar, Pradeep S. Rajendran, Viviana Gradinaru, Benjamin E. Deverman, Ken Y. Chan, Rosemary C. Challis, Jeffrey L. Ardell, Donald B. Hoover and Collin Challis. Their work appears in journals such as The Journal of Physiology, American Journal of Physiology-Cell Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Journal of Molecular Neuroscience and Journal of Neurophysiology.

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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