John Pernow

13.5k citations
289 papers · 11.5k · h-index 58

Impact in

Papers in

John Pernow

286 papers receiving 11.2k citations

Peers

John Pernow
Comparison fields: 5 of 136
  • Physiology 3.8k
  • Cardiology and Cardiovascular Medicine 3.0k
  • Cellular and Molecular Neuroscience 2.4k
  • Endocrine and Autonomic Systems 673
  • Biochemistry 592
Replace Erhe Gao with:
Erhe Gao United States
Giora Feuerstein United States
Masaki Nakane United States
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G. Z. FEUERSTEIN United States
Tohru Minamino Japan
Paul M. Vanhoutte United States
Daniel Georges Bichet Canada
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Citations per field
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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 289 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007417
2 2017256
3 2013251
4 1986198
5 1984188
6 2004163
7 2012161
8 1999155
9 1988152
10 1986150
11 2018148
12 2010145
13 2009142
14 1986130
15 2013129
16 1987128
17 1987127
18 2002125
19 2019124
20 2009124

About John Pernow

John Pernow is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Biophysics, having authored 289 papers that have together received 11.5k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (116 papers), Neuropeptides and Animal Physiology (52 papers), Cardiac Ischemia and Reperfusion (39 papers), Receptor Mechanisms and Signaling (28 papers), Heart Rate Variability and Autonomic Control (28 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (20 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 (3.0k citations), Cellular and Molecular Neuroscience (2.4k citations), Endocrine and Autonomic Systems (673 citations) and Biochemistry (592 citations). John Pernow has collaborated with scholars based in Sweden, Germany and United Kingdom. Frequent co-authors include Jan M. Lundberg, Felix Böhm, Christian Jung, Adrian Thomas Gonon, Qing-Dong Wang, Alexey S. 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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