Scott John

4.1k citations
71 papers · 3.3k · h-index 32

Impact in

Papers in

Scott John

69 papers receiving 3.3k citations

Peers

Scott John
Comparison fields: 5 of 128
  • Cardiology and Cardiovascular Medicine 766
  • Molecular Biology 2.5k
  • Cellular and Molecular Neuroscience 600
  • Structural Biology 48
  • Sensory Systems 88
Replace Edwin D.W. Moore with:
Edwin D.W. Moore Canada
Akikazu Fujita Japan
David C. Gadsby United States
Ran Zalk Israel
A P Somlyo United States
Jun Xing United States
Mario Delmar United States
F S Fay United States
Makoto Inui Japan
Paul L. Sorgen United States
Scott John relative to Edwin D.W. Moore Canada Edwin D.W. Moore's profile →
Citations per field
00.5×1.7×
Edwin D.W. Moore · 1×
Citations per year

Countries citing papers authored by Scott John

Since Specialization
Citations

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

Fields of papers citing papers by Scott John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994335
2 1999233
3 2011196
4 1991186
5 1989186
6 2000164
7 2007125
8 199499
9 200288
10 199183
11 199870
12 200368
13 200266
14 200864
15 200660
16 201459
17 201157
18 201755
19 199551
20 199948

About Scott John

Scott John is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Atomic and Molecular Physics, and Optics, having authored 71 papers that have together received 3.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (43 papers), Cardiac electrophysiology and arrhythmias (30 papers), Connexins and lens biology (13 papers), Neuroscience and Neural Engineering (12 papers), Cardiac Ischemia and Reperfusion (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Mitochondrial Function and Pathology (7 papers) and Nicotinic Acetylcholine Receptors Study (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (766 citations), Molecular Biology (2.5k citations), Cellular and Molecular Neuroscience (600 citations), Structural Biology (48 citations) and Sensory Systems (88 citations). Scott John has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include James N. Weiss, Ratnesh Lal, Bernard Ribalet, Lai‐Hua Xie, Michela Ottolia, Joshua I. Goldhaber, Shengyong Wang, Richard P. Kondo, J P Revel and Jan H. Hoh. Their work appears in journals such as The Journal of Physiology, Journal of Biological Chemistry, The Journal of General Physiology, Biophysical Journal and PLoS ONE.

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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