Guy Berkenboom

2.6k citations
107 papers · 1.4k · h-index 21

Impact in

Papers in

Guy Berkenboom

96 papers receiving 1.3k citations

Peers

Guy Berkenboom
Comparison fields: 5 of 104
  • Cardiology and Cardiovascular Medicine 456
  • Physiology 395
  • Biochemistry 100
  • Transplantation 23
  • Health, Toxicology and Mutagenesis 111
Replace Tsuneo Takenaka with:
Tsuneo Takenaka Japan
Knud Kjeldsen Denmark
Laetitia Dou France
Robert W. McGarrah United States
Chagriya Kitiyakara Thailand
Aimin Zhang China
Meyer D. Lifschitz United States
Alaa S. Awad United States
Brian B. Ratliff United States
Felix Böhm Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Guy Berkenboom

Since Specialization
Citations

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

Fields of papers citing papers by Guy Berkenboom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201393
2 200582
3 200879
4 198470
5 201147
6 198647
7 199744
8 198935
9 199929
10 200928
11 199527
12 200827
13 200627
14 200527
15 199126
16 200325
17 201224
18 198722
19 200022
20 200621

About Guy Berkenboom

Guy Berkenboom is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Surgery, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 107 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (34 papers), Cardiac Imaging and Diagnostics (16 papers), Cardiac electrophysiology and arrhythmias (10 papers), Receptor Mechanisms and Signaling (9 papers), Eicosanoids and Hypertension Pharmacology (9 papers), Renin-Angiotensin System Studies (8 papers), Cardiac Ischemia and Reperfusion (8 papers) and Cardiovascular Function and Risk Factors (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (456 citations), Physiology (395 citations), Biochemistry (100 citations), Transplantation (23 citations) and Health, Toxicology and Mutagenesis (111 citations). Guy Berkenboom has collaborated with scholars based in Belgium, United Kingdom and Czechia. Frequent co-authors include Jeanine Fontaine, Philippe Unger, David Fontaine, Serge Degré, Philippe van de Borne, Jean‐François Argacha, Stéphanie Pochet, Anne Otto, Serge Goldman and Nicolas Preumont. Their work appears in journals such as Journal of Cardiovascular Pharmacology, The American Journal of Cardiology, American Heart Journal, Cardiovascular Drugs and Therapy and Hypertension.

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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