Jérôme Leroy

3.0k citations
63 papers · 2.1k · h-index 23

Impact in

Papers in

Jérôme Leroy

60 papers receiving 2.0k citations

Peers

Jérôme Leroy
Comparison fields: 5 of 102
  • Cardiology and Cardiovascular Medicine 852
  • Molecular Biology 1.4k
  • Cellular and Molecular Neuroscience 374
  • Internal Medicine 61
  • Pharmacology 144
Replace Takuroh Imamura with:
Takuroh Imamura Japan
Antonio Rapacciuolo Italy
James D. Moffatt United Kingdom
Ken Masatsugu Japan
Halfdan Aass Norway
Mika Laine Finland
Laura J. Bloem United States
Roger D. Nolan United States
T Imai Japan
Risa Korenaga Japan
Jérôme Leroy relative to Takuroh Imamura Japan Takuroh Imamura's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jérôme Leroy

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Leroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006291
2 2007173
3 1998172
4 2008126
5 2011112
6 2011102
7 199796
8 201291
9 201687
10 200567
11 201266
12 201345
13 200244
14 202243
15 200542
16 200833
17 199032
18 200730
19 201628
20
The white clot syndrome or heparin associated thrombocytopenia and thrombosis (WCS or HATT) (26 cases).
198627

About Jérôme Leroy

Jérôme Leroy is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Surgery and Rheumatology, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (17 papers), Ion channel regulation and function (17 papers), Cardiac electrophysiology and arrhythmias (16 papers), Receptor Mechanisms and Signaling (11 papers), Neuroscience and Neuropharmacology Research (6 papers), Systemic Lupus Erythematosus Research (6 papers), Venous Thromboembolism Diagnosis and Management (5 papers) and Nicotinic Acetylcholine Receptors Study (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (852 citations), Molecular Biology (1.4k citations), Cellular and Molecular Neuroscience (374 citations), Internal Medicine (61 citations) and Pharmacology (144 citations). Jérôme Leroy has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Rodolphe Fischmeister, Grégoire Vandecasteele, Aniella Abi‐Gerges, Liliana Castro, Delphine Mika, Jonas Jurevičius, Francesca Rochais, Wito Richter, Marco Conti and Wendy S. Pratt. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Circulation Research, European Journal of Neuroscience, Cardiovascular Research and Journal of Clinical Investigation.

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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