Pierre Pacaud

7.3k citations
108 papers · 6.0k · h-index 48

Impact in

Papers in

Pierre Pacaud

105 papers receiving 5.9k citations

Peers

Pierre Pacaud
Comparison fields: 5 of 127
  • Physiology 499
  • Cardiology and Cardiovascular Medicine 1.6k
  • Sensory Systems 279
  • Cellular and Molecular Neuroscience 998
  • Physiology 1.3k
Replace Gervaise Loirand with:
Gervaise Loirand France
Hideo Kanaide Japan
Karnam S. Murthy United States
Yoshiyuki Horio Japan
Nina Wettschureck Germany
Beverly A. Rothermel United States
Hidde Bult Belgium
Pedro D’Orléans-Juste Canada
Thomas M. Cocks Australia
Brant E. Isakson United States
Pierre Pacaud relative to Gervaise Loirand France Gervaise Loirand's profile →
Citations per field
00.5×1.6×
Gervaise Loirand · 1×
Citations per year

Countries citing papers authored by Pierre Pacaud

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Pacaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000482
2 2006457
3 2001230
4 2010191
5 1991185
6 2003164
7 2003150
8 2009145
9 2005130
10 2005127
11 2010123
12 1986116
13 2009104
14 2001100
15 200698
16 198994
17 200692
18 200487
19 199186
20 200085

About Pierre Pacaud

Pierre Pacaud is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Physiology and Physiology, having authored 108 papers that have together received 6.0k indexed citations. Recurring topics across this work include Ion channel regulation and function (31 papers), Protein Kinase Regulation and GTPase Signaling (27 papers), Neuroscience and Neuropharmacology Research (19 papers), Adenosine and Purinergic Signaling (17 papers), Nitric Oxide and Endothelin Effects (16 papers), Cardiac electrophysiology and arrhythmias (13 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (10 papers) and Apelin-related biomedical research (9 papers). The work is most often cited by research in Physiology (499 citations), Cardiology and Cardiovascular Medicine (1.6k citations), Sensory Systems (279 citations), Cellular and Molecular Neuroscience (998 citations) and Physiology (1.3k citations). Pierre Pacaud has collaborated with scholars based in France, United Kingdom and Canada. Frequent co-authors include Gervaise Loirand, Vincent Sauzeau, Patrice Guérin, Jean Mironneau, C. Mironneau, Malvyne Rolli‐Derkinderen, Chrystelle Cario‐Toumaniantz, T. B. Bolton, Christophe Guilluy and Jacques Bertoglio. Their work appears in journals such as British Journal of Pharmacology, The Journal of Physiology, Circulation Research, Pflügers Archiv - European Journal of Physiology and Journal of Biological Chemistry.

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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