Brian Jow

842 citations
15 papers · 712 · h-index 13

Impact in

Papers in

Brian Jow

15 papers receiving 690 citations

Peers

Brian Jow
Comparison fields: 5 of 68
  • Cardiology and Cardiovascular Medicine 318
  • Cellular and Molecular Neuroscience 215
  • Molecular Biology 526
  • Biochemistry 33
  • Neurology 33
Replace Tominori Morita with:
Tominori Morita United States
L. Michelle Lewis United States
Xinpo Jiang United States
Sara I. Liin Sweden
Isabelle Van Liefde Belgium
Wolfgang Wernet Germany
Peter Moldt Denmark
Donald H. Jenkinson United Kingdom
Friedrich Lübbecke Germany
Jérôme Petit-Jacques United States
Brian Jow relative to Tominori Morita United States Tominori Morita's profile →
Citations per field
00.5×3.6×
Tominori Morita · 1×
Citations per year

Countries citing papers authored by Brian Jow

Since Specialization
Citations

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

Fields of papers citing papers by Brian Jow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Jow. 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 Brian Jow. The network helps show where Brian Jow may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1996114
2 1995102
3 200988
4 199885
5 200857
6 200546
7 199038
8 200737
9 199234
10 200831
11 200530
12 200229
13 199016
14 19994
15 20061

About Brian Jow

Brian Jow is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Spectroscopy and Pharmacology, having authored 15 papers that have together received 712 indexed citations. Recurring topics across this work include Ion channel regulation and function (10 papers), Cardiac electrophysiology and arrhythmias (7 papers), Nicotinic Acetylcholine Receptors Study (4 papers), Neuroscience and Neural Engineering (3 papers), Molecular Sensors and Ion Detection (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Receptor Mechanisms and Signaling (3 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (318 citations), Cellular and Molecular Neuroscience (215 citations), Molecular Biology (526 citations), Biochemistry (33 citations) and Neurology (33 citations). Brian Jow has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Flora Jow, Joseph J. Salata, Nancy K. Jurkiewicz, Deborah J. Nelson, Bernard Fermini, John Dunlop, Dianne Kowal, Renza Roncarati, Joseph J. Lynch and Elizabeth Baskin. Their work appears in journals such as The Journal of Membrane Biology, Journal of Cardiovascular Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Biochemical Pharmacology and American Journal of Physiology-Heart and Circulatory Physiology.

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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