Catherine Pavoine

3.5k citations
58 papers · 2.9k indexed · 1 hit paper · h-index 29

Catherine Pavoine

57 papers receiving 2.8k citations

Hit Papers

M2 Kupffer cells promote M1 Kupffer cell apoptosis: A pro...4522013202620172021100200300400

Peers

Catherine Pavoine
Comparison fields: 5 of 107
  • Cardiology and Cardiovascular Medicine 730
  • Hepatology 213
  • Molecular Biology 1.5k
  • Pathology and Forensic Medicine 378
  • Physiology 527
Replace Nicole H. Purcell with:
Nicole H. Purcell United States
Yoichi Mizukami Japan
Motonobu Anai Japan
Françoise Pecker France
Changqing Xu China
Xudong Yang China
Yukio Hara Japan
Kunio Ishii Japan
Serge P. Bottari France
María Fernández‐Velasco Spain
Catherine Pavoine relative to Nicole H. Purcell United States Nicole H. Purcell's profile →
Citations per field
00.5×1.5×2.4×
Nicole H. Purcell · 1×
Citations per year

Countries citing papers authored by Catherine Pavoine

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Pavoine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20218
2 201913
3 201453
4 201432
5 2011205
6 201021
7 2009124
8 200992
9 200768
10 200776
11 200432
12 20040
13 200323
14 200136
15 200116
16 199950
17 19959
18 199089
19 198819
20 19882

About Catherine Pavoine

Catherine Pavoine is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Sensory Systems, having authored 58 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ion channel regulation and function (14 papers), Receptor Mechanisms and Signaling (14 papers), Pancreatic function and diabetes (11 papers), Cardiac electrophysiology and arrhythmias (9 papers), Cardiac Fibrosis and Remodeling (7 papers), Signaling Pathways in Disease (7 papers), Adenosine and Purinergic Signaling (6 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (730 citations), Hepatology (213 citations) and Molecular Biology (1.5k citations). Catherine Pavoine has collaborated with scholars based in France, Canada and Germany. Frequent co-authors include Françoise Pecker, F. Pecker, Sophie Lotersztajn, Rodolphe Fischmeister, Pierre‐François Méry, Ariane Mallat, Laurent Belhassen, Fatima Teixeira-Clerc, Alexandre Louvet and JingHong Wan. Their work appears in journals such as Nature, Journal of Biological Chemistry and Circulation.

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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