John Pernow

13.4k citations
273 papers · 10.7k · h-index 56

Impact in

Papers in

John Pernow

271 papers receiving 10.4k citations

Peers

John Pernow
Comparison fields: 5 of 133
  • Physiology 3.8k
  • Cardiology and Cardiovascular Medicine 2.8k
  • Cellular and Molecular Neuroscience 2.4k
  • Endocrine and Autonomic Systems 669
  • Biochemistry 575
Replace Joseph E. Brayden with:
Joseph E. Brayden United States
Erhe Gao United States
Masaki Nakane United States
G Feuerstein United States
David W. Busija United States
Paul M. Vanhoutte United States
Ignacio Lizasoaín Spain
Daniel G. Bichet Canada
Morris Karmazyn Canada
Gabor M. Rubanyi United States
John Pernow relative to Joseph E. Brayden United States Joseph E. Brayden's profile →
Citations per field
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Joseph E. Brayden · 1×
Citations per year

Countries citing papers authored by John Pernow

Since Specialization
Citations

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

Fields of papers citing papers by John Pernow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 273 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007412
2 2013246
3 1986194
4 1984189
5 2004164
6 2012159
7 1988156
8 1986152
9 1999151
10 2010136
11 2018136
12 2009136
13 1987130
14 1986129
15 1987126
16 2009125
17 2013123
18 2002121
19 2019120
20 1985118

About John Pernow

John Pernow is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine, having authored 273 papers that have together received 10.7k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (117 papers), Neuropeptides and Animal Physiology (52 papers), Cardiac Ischemia and Reperfusion (38 papers), Heart Rate Variability and Autonomic Control (29 papers), Receptor Mechanisms and Signaling (28 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (19 papers), Renin-Angiotensin System Studies (15 papers) and Erythrocyte Function and Pathophysiology (14 papers). The work is most often cited by research in Physiology (3.8k citations), Cardiology and Cardiovascular Medicine (2.8k citations), Cellular and Molecular Neuroscience (2.4k citations), Endocrine and Autonomic Systems (669 citations) and Biochemistry (575 citations). John Pernow has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Jan M. Lundberg, Felix Böhm, Christian Jung, Adrian Gonon, Qing‐Dong Wang, Alexey Shemyakin, Anette Hemsén, Magnus Settergren, Jon O. Lundberg and L. Kaijser. Their work appears in journals such as Journal of Cardiovascular Pharmacology, European Heart Journal, American Journal of Physiology-Heart and Circulatory Physiology, Cardiovascular Research and British Journal of 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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