Françoise Pecker

48 total papers · 2.1k total citations
33 papers, 1.7k citations indexed

About

Françoise Pecker is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Françoise Pecker has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Cardiology and Cardiovascular Medicine and 6 papers in Oncology. Recurrent topics in Françoise Pecker's work include Receptor Mechanisms and Signaling (9 papers), Ion channel regulation and function (6 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Françoise Pecker is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Ion channel regulation and function (6 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Françoise Pecker collaborates with scholars based in France, United Kingdom and Italy. Françoise Pecker's co-authors include Catherine Pavoine, Sophie Lotersztajn, Ariane Mallat, Fatima Teixeira-Clerc, Alexandre Louvet, Fouad Lafdil, Stéphanie Bonnafous, JingHong Wan, Philippe Gual and Albert Tran and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Circulation.

In The Last Decade

Françoise Pecker

32 papers receiving 1.7k citations

Hit Papers

M2 Kupffer cells promote ... 2013 2026 2017 2021 2013 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Françoise Pecker 806 455 324 233 215 33 1.7k
Réjane Paumelle 1.0k 1.3× 577 1.3× 122 0.4× 203 0.9× 108 0.5× 31 1.9k
Zongxian Cao 958 1.2× 344 0.8× 97 0.3× 433 1.9× 267 1.2× 30 2.3k
Ying Tan 914 1.1× 395 0.9× 179 0.6× 200 0.9× 133 0.6× 36 1.6k
Ancai Yuan 939 1.2× 241 0.5× 349 1.1× 134 0.6× 177 0.8× 36 1.6k
John Fassett 1.1k 1.3× 210 0.5× 735 2.3× 182 0.8× 164 0.8× 46 2.2k
Zhimin Chen 674 0.8× 562 1.2× 212 0.7× 256 1.1× 77 0.4× 45 1.7k
Banumathi K. Cole 577 0.7× 518 1.1× 123 0.4× 160 0.7× 70 0.3× 26 1.7k
Csaba Mátyás 346 0.4× 318 0.7× 473 1.5× 100 0.4× 198 0.9× 37 1.4k
Yanbo Fan 1.3k 1.6× 500 1.1× 320 1.0× 260 1.1× 83 0.4× 61 2.4k
Rafael Mayoral 732 0.9× 912 2.0× 131 0.4× 232 1.0× 90 0.4× 32 2.0k

Countries citing papers authored by Françoise Pecker

Since Specialization
Citations

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

Fields of papers citing papers by Françoise Pecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Françoise Pecker

This figure shows the co-authorship network connecting the top 25 collaborators of Françoise Pecker. A scholar is included among the top collaborators of Françoise Pecker 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 Françoise Pecker. Françoise Pecker 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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