Mathilde Etcheverry

1.5k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

Mathilde Etcheverry is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Mathilde Etcheverry has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Mathilde Etcheverry's work include Chromosomal and Genetic Variations (5 papers), Plant Molecular Biology Research (3 papers) and Plant Disease Resistance and Genetics (3 papers). Mathilde Etcheverry is often cited by papers focused on Chromosomal and Genetic Variations (5 papers), Plant Molecular Biology Research (3 papers) and Plant Disease Resistance and Genetics (3 papers). Mathilde Etcheverry collaborates with scholars based in France, Netherlands and Switzerland. Mathilde Etcheverry's co-authors include Vincent Colot, Frank Johannes, René Wardenaar, Patrick Wincker, Antoine Martin, Arthur Gilly, Jean‐Marc Aury, Erwann Caillieux, Karine Labadie and Antonin Marchais and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Mathilde Etcheverry

8 papers receiving 1.0k citations

Hit Papers

Mapping the Epigenetic Basis of Complex Traits 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mathilde Etcheverry France 8 841 519 226 47 27 8 1.0k
Erwann Caillieux France 7 537 0.6× 382 0.7× 140 0.6× 32 0.7× 17 0.6× 9 679
Jane E. Dorweiler United States 15 1.5k 1.8× 987 1.9× 440 1.9× 63 1.3× 15 0.6× 25 1.8k
Viktoria Nizhynska Austria 15 566 0.7× 486 0.9× 254 1.1× 116 2.5× 22 0.8× 21 833
Tomokazu Kawashima United States 15 1.2k 1.4× 1.1k 2.0× 75 0.3× 150 3.2× 25 0.9× 34 1.4k
André Marques Brazil 17 625 0.7× 404 0.8× 170 0.8× 196 4.2× 21 0.8× 57 762
Daphné Autran France 16 1.4k 1.7× 982 1.9× 106 0.5× 225 4.8× 19 0.7× 25 1.6k
Caroline M. Weisman United States 7 220 0.3× 293 0.6× 156 0.7× 54 1.1× 39 1.4× 8 456
Rachel Massicotte Canada 4 140 0.2× 188 0.4× 138 0.6× 63 1.3× 80 3.0× 4 409
Svetlana Galkina Russia 13 403 0.5× 375 0.7× 367 1.6× 31 0.7× 52 1.9× 47 650
Alexander Gabel Germany 8 271 0.3× 304 0.6× 73 0.3× 56 1.2× 36 1.3× 14 489

Countries citing papers authored by Mathilde Etcheverry

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Etcheverry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathilde Etcheverry

This figure shows the co-authorship network connecting the top 25 collaborators of Mathilde Etcheverry. A scholar is included among the top collaborators of Mathilde Etcheverry 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 Mathilde Etcheverry. Mathilde Etcheverry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Quadrana, Leandro, Mathilde Etcheverry, Arthur Gilly, et al.. (2019). Transposition favors the generation of large effect mutations that may facilitate rapid adaption. Nature Communications. 10(1). 3421–3421. 112 indexed citations
2.
Baillet, Victoire, Mathilde Etcheverry, Christine Lariagon, et al.. (2018). Quantitative resistance to clubroot infection mediated by transgenerational epigenetic variation in Arabidopsis. New Phytologist. 222(1). 468–479. 29 indexed citations
3.
Kooke, Rik, Frank Johannes, René Wardenaar, et al.. (2015). Epigenetic Basis of Morphological Variation and Phenotypic Plasticity inArabidopsis thaliana. The Plant Cell. 27(2). 337–348. 159 indexed citations
4.
Gilly, Arthur, Mathilde Etcheverry, Mohammed‐Amin Madoui, et al.. (2014). TE-Tracker: systematic identification of transposition events through whole-genome resequencing. BMC Bioinformatics. 15(1). 377–377. 22 indexed citations
5.
Cortijo, Sandra, René Wardenaar, Maria Colomé‐Tatché, et al.. (2014). Mapping the Epigenetic Basis of Complex Traits. Science. 343(6175). 1145–1148. 342 indexed citations breakdown →
6.
Marí‐Ordóñez, Arturo, Antonin Marchais, Mathilde Etcheverry, et al.. (2013). Reconstructing de novo silencing of an active plant retrotransposon. Nature Genetics. 45(9). 1029–1039. 205 indexed citations
7.
Fu, Yu, Akira Kawabe, Mathilde Etcheverry, et al.. (2013). Mobilization of a plant transposon by expression of the transposon‐encoded anti‐silencing factor. The EMBO Journal. 32(17). 2407–2417. 56 indexed citations
8.
Colomé‐Tatché, Maria, Sandra Cortijo, René Wardenaar, et al.. (2012). Features of the Arabidopsis recombination landscape resulting from the combined loss of sequence variation and DNA methylation. Proceedings of the National Academy of Sciences. 109(40). 16240–16245. 106 indexed citations

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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