David C. Johns

4.4k citations
66 papers · 3.6k · h-index 37

Impact in

Papers in

David C. Johns

65 papers receiving 3.6k citations

Peers

David C. Johns
Comparison fields: 5 of 120
  • Cardiology and Cardiovascular Medicine 1.4k
  • Cellular and Molecular Neuroscience 796
  • Molecular Biology 2.3k
  • Developmental Neuroscience 95
  • Sensory Systems 94
Replace Bruce G. Allen with:
Bruce G. Allen Canada
Hideki Katoh Japan
Masato Hirata Japan
John W. Kyle United States
Shigeki Kobayashi Japan
K. George Chandy United States
Caroline Dart United Kingdom
Richard Warth Germany
Kou‐ichi Jishage Japan
Françoise Cluzeaud France
David C. Johns relative to Bruce G. Allen Canada Bruce G. Allen's profile →
Citations per field
00.5×1.5×2.2×
Bruce G. Allen · 1×
Citations per year

Countries citing papers authored by David C. Johns

Since Specialization
Citations

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

Fields of papers citing papers by David C. Johns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Johns. 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 David C. Johns. The network helps show where David C. Johns may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001213
2 1999211
3 1999209
4 2002186
5 2003166
6 1997142
7 2002122
8 1997121
9 1999118
10 1998108
11 2002105
12 200597
13 200690
14 200082
15 200082
16 199681
17 200280
18 199976
19 200073
20 199968

About David C. Johns

David C. Johns is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Animal Science and Zoology and Genetics, having authored 66 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (25 papers), Ion channel regulation and function (24 papers), Viral Infections and Immunology Research (9 papers), Animal Nutrition and Physiology (8 papers), Cardiomyopathy and Myosin Studies (7 papers), Virus-based gene therapy research (6 papers), Neuroscience and Neural Engineering (5 papers) and Cardiac Ischemia and Reperfusion (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Cellular and Molecular Neuroscience (796 citations), Molecular Biology (2.3k citations), Developmental Neuroscience (95 citations) and Sensory Systems (94 citations). David C. Johns has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include Eduardo Marbán, Hanne Nuss, Brian O’Rourke, Uta C. Hoppe, Gordon F. Tomaselli, Jeffrey R. Balser, John H. Lawrence, Richard E. Mains, Ruth Marx and Monique C. Saleh. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Circulation Research, New Zealand Journal of Agricultural Research and Journal of Neuroscience.

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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