J.-J. Mercadier

40 total papers · 1.1k total citations
24 papers, 882 citations indexed

About

J.-J. Mercadier is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, J.-J. Mercadier has authored 24 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in J.-J. Mercadier's work include Cardiac electrophysiology and arrhythmias (12 papers), Cardiomyopathy and Myosin Studies (9 papers) and Ion channel regulation and function (6 papers). J.-J. Mercadier is often cited by papers focused on Cardiac electrophysiology and arrhythmias (12 papers), Cardiomyopathy and Myosin Studies (9 papers) and Ion channel regulation and function (6 papers). J.-J. Mercadier collaborates with scholars based in France, United States and Hungary. J.-J. Mercadier's co-authors include Stéphane Hatem, Agnès Bénardeau, M. Rivet-Bastide, Rodolphe Fischmeister, E Coraboeuf, Michael Kirstein, D. de la Bastie, K Schwartz, Anne‐Marie Lompré and Kenneth R. Boheler and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Circulation Research.

In The Last Decade

J.-J. Mercadier

22 papers receiving 861 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J.-J. Mercadier 644 586 125 120 52 24 882
Bruno Gavillet 495 0.8× 751 1.3× 172 1.4× 82 0.7× 39 0.8× 24 962
Zhaokang Yang 629 1.0× 566 1.0× 158 1.3× 88 0.7× 63 1.2× 21 947
Julieta Palomeque 704 1.1× 680 1.2× 110 0.9× 105 0.9× 119 2.3× 31 1.0k
Priscila Y. Sato 532 0.8× 537 0.9× 121 1.0× 92 0.8× 39 0.8× 21 907
Monika Nose 486 0.8× 609 1.0× 138 1.1× 91 0.8× 56 1.1× 23 903
Antoine Younès 518 0.8× 562 1.0× 155 1.2× 240 2.0× 108 2.1× 22 1.0k
Hajime Funakoshi 386 0.6× 457 0.8× 97 0.8× 136 1.1× 100 1.9× 17 768
Ioannis Smyrnias 305 0.5× 592 1.0× 104 0.8× 156 1.3× 49 0.9× 22 910
Patrick Lechêne 374 0.6× 519 0.9× 80 0.6× 125 1.0× 49 0.9× 25 740
Kenichi Hongo 532 0.8× 454 0.8× 97 0.8× 138 1.1× 53 1.0× 45 903

Countries citing papers authored by J.-J. Mercadier

Since Specialization
Citations

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

Fields of papers citing papers by J.-J. Mercadier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-J. Mercadier. 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 J.-J. Mercadier. The network helps show where J.-J. Mercadier may publish in the future.

Co-authorship network of co-authors of J.-J. Mercadier

This figure shows the co-authorship network connecting the top 25 collaborators of J.-J. Mercadier. A scholar is included among the top collaborators of J.-J. Mercadier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J.-J. Mercadier. J.-J. Mercadier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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