John Pernow

13.2k citations
272 papers · 10.3k · h-index 55

Impact in

Papers in

John Pernow

269 papers receiving 10.1k citations

Peers

John Pernow
Comparison fields: 5 of 134
  • Cardiology and Cardiovascular Medicine 3.5k
  • Physiology 3.9k
  • Cellular and Molecular Neuroscience 2.3k
  • Endocrine and Autonomic Systems 708
  • Biochemistry 626
Replace Joseph E. Brayden with:
Joseph E. Brayden United States
Erhe Gao United States
Eliot H. Ohlstein United States
Jean‐Luc Balligand Belgium
Masaki Nakane United States
David W. Busija United States
Paul M. Vanhoutte United States
G Feuerstein United States
Tohru Minamino Japan
Philip J. Kadowitz 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 272 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007398
2 2013235
3 1986181
4 1984178
5 2004161
6 2012154
7 1988143
8 1986141
9 1999139
10 2010135
11 2018132
12 2009129
13 2009123
14 2002119
15 1986119
16 1987119
17 1987118
18 2013117
19 2019113
20 1990112

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 272 papers that have together received 10.3k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (121 papers), Neuropeptides and Animal Physiology (53 papers), Cardiac Ischemia and Reperfusion (51 papers), Heart Rate Variability and Autonomic Control (35 papers), Receptor Mechanisms and Signaling (31 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (20 papers), Cardiovascular Function and Risk Factors (19 papers) and Renin-Angiotensin System Studies (18 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.5k citations), Physiology (3.9k citations), Cellular and Molecular Neuroscience (2.3k citations), Endocrine and Autonomic Systems (708 citations) and Biochemistry (626 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, Elvar Theodorsson, Magnus Settergren and Jon O. Lundberg. 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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