C. Péaud-Lenoël

40 total papers · 644 total citations
26 papers, 459 citations indexed

About

C. Péaud-Lenoël is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, C. Péaud-Lenoël has authored 26 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Plant Science and 8 papers in Biotechnology. Recurrent topics in C. Péaud-Lenoël's work include Plant tissue culture and regeneration (5 papers), Photosynthetic Processes and Mechanisms (5 papers) and Microbial Metabolites in Food Biotechnology (4 papers). C. Péaud-Lenoël is often cited by papers focused on Plant tissue culture and regeneration (5 papers), Photosynthetic Processes and Mechanisms (5 papers) and Microbial Metabolites in Food Biotechnology (4 papers). C. Péaud-Lenoël collaborates with scholars based in France. C. Péaud-Lenoël's co-authors include M. Axelos, Jean‐Pierre Jouanneau, Bernard Teyssendier de la Serve, Jean Guern, Patrick Seyer, Anne‐Marie Lescure, M. M. Smith, Jacques Barbet, S Aké and R Dedonder and has published in prestigious journals such as PLANT PHYSIOLOGY, FEBS Letters and European Journal of Biochemistry.

In The Last Decade

C. Péaud-Lenoël

26 papers receiving 411 citations

Author Peers

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

Author Last Decade Papers Cites
C. Péaud-Lenoël 336 324 41 33 28 26 459
S. J. Sheen 331 1.0× 305 0.9× 82 2.0× 20 0.6× 23 0.8× 30 506
Maite Colinas 408 1.2× 225 0.7× 28 0.7× 24 0.7× 13 0.5× 23 536
H. Michael Harrington 306 0.9× 317 1.0× 19 0.5× 36 1.1× 11 0.4× 23 479
Luis E. González de la Vara 305 0.9× 255 0.8× 37 0.9× 20 0.6× 37 1.3× 37 527
Renato Bianchetti 252 0.8× 186 0.6× 42 1.0× 17 0.5× 33 1.2× 41 435
Claudio P. Longo 389 1.2× 353 1.1× 21 0.5× 51 1.5× 19 0.7× 38 500
Toshihiro Toguri 420 1.3× 248 0.8× 54 1.3× 129 3.9× 20 0.7× 20 548
Long‐Fang O. Chen 280 0.8× 349 1.1× 27 0.7× 14 0.4× 15 0.5× 21 475
Young Jin Kim 192 0.6× 368 1.1× 22 0.5× 28 0.8× 27 1.0× 20 534
Aldo Almeida 272 0.8× 198 0.6× 16 0.4× 15 0.5× 18 0.6× 19 425

Countries citing papers authored by C. Péaud-Lenoël

Since Specialization
Citations

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

Fields of papers citing papers by C. Péaud-Lenoël

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Péaud-Lenoël. 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 C. Péaud-Lenoël. The network helps show where C. Péaud-Lenoël may publish in the future.

Co-authorship network of co-authors of C. Péaud-Lenoël

This figure shows the co-authorship network connecting the top 25 collaborators of C. Péaud-Lenoël. A scholar is included among the top collaborators of C. Péaud-Lenoël 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 C. Péaud-Lenoël. C. Péaud-Lenoël 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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2026