Clément Carré

2.1k total citations
28 papers, 1.5k citations indexed

About

Clément Carré is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Clément Carré has authored 28 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Plant Science and 6 papers in Genetics. Recurrent topics in Clément Carré's work include RNA modifications and cancer (8 papers), Chromosomal and Genetic Variations (6 papers) and RNA Research and Splicing (6 papers). Clément Carré is often cited by papers focused on RNA modifications and cancer (8 papers), Chromosomal and Genetic Variations (6 papers) and RNA Research and Splicing (6 papers). Clément Carré collaborates with scholars based in France, United States and Germany. Clément Carré's co-authors include Christophe Antoniewski, Laure Teysset, Sophie Layalle, Chantal Dauphin‐Villemant, Julien Colombani, Emilie Pondeville, Stéphane Noselli, Pierre Léopold, Laurence Bianchini and Jean‐Yves Roignant and has published in prestigious journals such as Science, Nucleic Acids Research and Genes & Development.

In The Last Decade

Clément Carré

28 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clément Carré France 16 882 465 287 239 185 28 1.5k
Edward B. Dubrovsky United States 17 698 0.8× 591 1.3× 133 0.5× 377 1.6× 381 2.1× 27 1.3k
Korneel Hens Belgium 20 721 0.8× 271 0.6× 133 0.5× 225 0.9× 215 1.2× 40 1.1k
Sourav Roy United States 17 613 0.7× 520 1.1× 168 0.6× 334 1.4× 530 2.9× 31 1.4k
Shinpei Kawaoka Japan 18 1.1k 1.2× 182 0.4× 577 2.0× 396 1.7× 377 2.0× 35 1.6k
Mario Zurita Mexico 21 1.0k 1.2× 151 0.3× 131 0.5× 435 1.8× 134 0.7× 67 1.5k
Jerome Korzelius Germany 12 833 0.9× 211 0.5× 1.1k 3.8× 196 0.8× 454 2.5× 14 2.0k
Bruno Mugat France 18 683 0.8× 293 0.6× 354 1.2× 182 0.8× 157 0.8× 24 974
Pieter Van Wielendaele Belgium 22 777 0.9× 793 1.7× 114 0.4× 534 2.2× 626 3.4× 33 1.6k
Tasman Daish Australia 15 1.4k 1.5× 209 0.4× 216 0.8× 311 1.3× 115 0.6× 23 1.8k

Countries citing papers authored by Clément Carré

Since Specialization
Citations

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

Fields of papers citing papers by Clément Carré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clément Carré

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

All Works

20 of 20 papers shown
1.
Carré, Clément, et al.. (2024). Next-Gen GWAS: full 2D epistatic interaction maps retrieve part of missing heritability and improve phenotypic prediction. Genome biology. 25(1). 76–76. 6 indexed citations
2.
Lee, Sungmin, Clément Carré, André Fischer, et al.. (2023). Exploring the brain epitranscriptome: perspectives from the NSAS summit. Frontiers in Neuroscience. 17. 1291446–1291446. 2 indexed citations
3.
Delmarre, Valérie, Pauline Marie, Stéphane Ronsseray, et al.. (2023). The histone demethylase Kdm3 prevents auto-immune piRNAs production in Drosophila. Science Advances. 9(14). eade3872–eade3872. 2 indexed citations
4.
Cansell, Céline, Fanny Aprahamian, Sylvère Durand, et al.. (2023). Smurfness‐based two‐phase model of ageing helps deconvolve the ageing transcriptional signature. Aging Cell. 22(11). e13946–e13946. 13 indexed citations
5.
6.
Blanchet, Nicolas, Clément Carré, Ludovic Legrand, et al.. (2020). Transcriptomic data of leaves from eight sunflower lines and their sixteen hybrids under water deficit. OCL. 27. 48–48. 4 indexed citations
7.
Silva, Bruno da, Virginie Marchand, Caroline Jacquier, et al.. (2020). tRNA 2′-O-methylation by a duo of TRM7/FTSJ1 proteins modulates small RNA silencing in Drosophila. Nucleic Acids Research. 48(4). 2050–2072. 34 indexed citations
8.
Molla‐Herman, Anahi, et al.. (2020). tRNA Fragments Populations Analysis in Mutants Affecting tRNAs Processing and tRNA Methylation. Frontiers in Genetics. 11. 518949–518949. 19 indexed citations
9.
Durdevic, Zeljko, Katharina Hanna, Bruno da Silva, et al.. (2018). Mutations in Cytosine-5 tRNA Methyltransferases Impact Mobile Element Expression and Genome Stability at Specific DNA Repeats. Cell Reports. 22(7). 1861–1874. 50 indexed citations
10.
Lenče, Tina, et al.. (2018). The Emerging Field of Epitranscriptomics in Neurodevelopmental and Neuronal Disorders. Frontiers in Bioengineering and Biotechnology. 6. 46–46. 75 indexed citations
11.
Beek, Marius van den, et al.. (2018). Dual-layer transposon repression in heads of Drosophila melanogaster. RNA. 24(12). 1749–1760. 13 indexed citations
12.
Ristova, Daniela, Clément Carré, Marjorie Pervent, et al.. (2016). Combinatorial interaction network of transcriptomic and phenotypic responses to nitrogen and hormones in the Arabidopsis thaliana root. Science Signaling. 9(451). rs13–rs13. 82 indexed citations
13.
Beek, Marius van den, Christophe Antoniewski, & Clément Carré. (2014). Isolation of Small Interfering RNAs Using Viral Suppressors of RNA Interference. Methods in molecular biology. 1173. 147–155. 1 indexed citations
14.
Carré, Clément, Fabrice Gamboa, Benoît Pujol, & Eduardo Manfredi. (2013). Genetic links among individuals: from genealogies to molecular markers. Acta Botanica Gallica. 160(3-4). 221–226. 3 indexed citations
15.
Carré, Clément, Fabrice Gamboa, David Cros, et al.. (2013). Genetic prediction of complex traits: integrating infinitesimal and marked genetic effects. Genetica. 141(4-6). 239–246. 1 indexed citations
16.
Carré, Clément, Caroline Jacquier, Anne-Laure Bougé, et al.. (2013). AutomiG, a Biosensor to Detect Alterations in miRNA Biogenesis and in Small RNA Silencing Guided by Perfect Target Complementarity. PLoS ONE. 8(9). e74296–e74296. 4 indexed citations
17.
Lloret-Llinares, Marta, Clément Carré, Alejandro Vaquero, Natalia de Olano, & Fernando Azorı́n. (2008). Characterization of Drosophila melanogaster JmjC+N histone demethylases. Nucleic Acids Research. 36(9). 2852–2863. 54 indexed citations
18.
Carré, Clément, Orbán Komonyi, Caroline Jacquier, et al.. (2007). The Drosophila NURF remodelling and the ATAC histone acetylase complexes functionally interact and are required for global chromosome organization. EMBO Reports. 9(2). 187–192. 29 indexed citations
19.
Colombani, Julien, Laurence Bianchini, Sophie Layalle, et al.. (2005). Antagonistic Actions of Ecdysone and Insulins Determine Final Size in Drosophila. Science. 310(5748). 667–670. 472 indexed citations
20.
Roignant, Jean‐Yves, et al.. (2003). Absence of transitive and systemic pathways allows cell-specific and isoform-specific RNAi in Drosophila. RNA. 9(3). 299–308. 196 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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