Françoise Chefdor

22 total papers · 1.5k total citations
17 papers, 848 citations indexed

About

Françoise Chefdor is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Françoise Chefdor has authored 17 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 14 papers in Molecular Biology and 2 papers in Biotechnology. Recurrent topics in Françoise Chefdor's work include Plant Molecular Biology Research (13 papers), Plant Reproductive Biology (8 papers) and Plant Stress Responses and Tolerance (5 papers). Françoise Chefdor is often cited by papers focused on Plant Molecular Biology Research (13 papers), Plant Reproductive Biology (8 papers) and Plant Stress Responses and Tolerance (5 papers). Françoise Chefdor collaborates with scholars based in France, Japan and Morocco. Françoise Chefdor's co-authors include Jeffrey Leung, Jérôme Giraudat, Peter C. Morris, Michelle Bouvier‐Durand, Christiane Depierreux, Sabine Carpin, Domenico Morabito, Franck Delmotte, François Héricourt and Aurore Caruso and has published in prestigious journals such as Science, FEBS Letters and International Journal of Molecular Sciences.

In The Last Decade

Françoise Chefdor

16 papers receiving 821 citations

Hit Papers

Arabidopsis ABA Response ... 1994 2026 2004 2015 1994 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Françoise Chefdor 756 435 24 17 16 17 848
Hong Zhang 851 1.1× 480 1.1× 18 0.8× 15 0.9× 26 1.6× 16 987
Sylvie Wuillème 692 0.9× 463 1.1× 13 0.5× 21 1.2× 13 0.8× 11 891
Emmanuelle Jeannette 600 0.8× 389 0.9× 24 1.0× 27 1.6× 13 0.8× 20 759
Nathalie Bertauche 661 0.9× 368 0.8× 19 0.8× 17 1.0× 20 1.3× 7 742
Souha Berriri 649 0.9× 356 0.8× 19 0.8× 10 0.6× 14 0.9× 9 726
Daniel Caddell 687 0.9× 271 0.6× 16 0.7× 16 0.9× 24 1.5× 15 760
Lu Wang 640 0.8× 420 1.0× 9 0.4× 23 1.4× 8 0.5× 18 755
Guoning Qi 755 1.0× 269 0.6× 9 0.4× 25 1.5× 11 0.7× 22 825
Bobin Liu 745 1.0× 663 1.5× 12 0.5× 30 1.8× 23 1.4× 27 928
Nancy N. Artus 610 0.8× 464 1.1× 9 0.4× 15 0.9× 10 0.6× 13 738

Countries citing papers authored by Françoise Chefdor

Since Specialization
Citations

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

Fields of papers citing papers by Françoise Chefdor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Françoise Chefdor

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