Jérôme Cavaillé

7.4k total citations · 1 hit paper
58 papers, 5.7k citations indexed

About

Jérôme Cavaillé is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Jérôme Cavaillé has authored 58 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 29 papers in Genetics and 25 papers in Cancer Research. Recurrent topics in Jérôme Cavaillé's work include RNA modifications and cancer (31 papers), Genetic Syndromes and Imprinting (29 papers) and Cancer-related molecular mechanisms research (21 papers). Jérôme Cavaillé is often cited by papers focused on RNA modifications and cancer (31 papers), Genetic Syndromes and Imprinting (29 papers) and Cancer-related molecular mechanisms research (21 papers). Jérôme Cavaillé collaborates with scholars based in France, United Kingdom and United States. Jérôme Cavaillé's co-authors include Jean‐Pierre Bachellerie, Jean-Pierre Bachellerie, Alexander Hüttenhofer, Anne C. Ferguson‐Smith, Marie‐Line Bortolin‐Cavaillé, Hervé Seitz, Hélène Royo, Shau‐Ping Lin, Monique Nicoloso and Neil A. Youngson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Jérôme Cavaillé

58 papers receiving 5.6k citations

Hit Papers

The expanding snoRNA world 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jérôme Cavaillé France 36 5.0k 2.2k 1.7k 659 308 58 5.7k
Takashi Kohda Japan 34 3.8k 0.8× 454 0.2× 2.5k 1.4× 1.4k 2.2× 324 1.1× 73 4.8k
Alexandre Wagschal France 14 4.8k 1.0× 709 0.3× 1.2k 0.7× 459 0.7× 316 1.0× 16 5.4k
Tomoko Kaneko‐Ishino Japan 30 3.5k 0.7× 440 0.2× 2.6k 1.5× 1.5k 2.3× 479 1.6× 62 4.3k
Robert S. Ingram United States 27 5.3k 1.1× 1.3k 0.6× 3.3k 1.9× 1.7k 2.5× 182 0.6× 30 6.2k
Cheryl Paul Australia 11 4.3k 0.9× 482 0.2× 1.1k 0.6× 347 0.5× 397 1.3× 13 4.9k
Ru Cao United States 23 8.2k 1.7× 1.1k 0.5× 1.7k 1.0× 270 0.4× 660 2.1× 28 9.0k
Björn Menten Belgium 36 2.5k 0.5× 912 0.4× 1.7k 1.0× 851 1.3× 505 1.6× 131 4.3k
Ikuhiro Okamoto Japan 30 5.7k 1.2× 424 0.2× 2.0k 1.2× 316 0.5× 992 3.2× 40 6.3k
Guihai Feng China 22 2.5k 0.5× 798 0.4× 398 0.2× 322 0.5× 158 0.5× 55 3.2k
Cédric Le Caignec France 29 1.7k 0.4× 256 0.1× 1.5k 0.8× 770 1.2× 298 1.0× 76 3.1k

Countries citing papers authored by Jérôme Cavaillé

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Cavaillé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Cavaillé

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Cavaillé. A scholar is included among the top collaborators of Jérôme Cavaillé 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 Jérôme Cavaillé. Jérôme Cavaillé 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.
Kobayashi, Norio, Hiroaki Okae, Hitoshi Hiura, et al.. (2022). The microRNA cluster C19MC confers differentiation potential into trophoblast lineages upon human pluripotent stem cells. Nature Communications. 13(1). 40 indexed citations
2.
Gamage, Supuni Thalalla, Marie‐Line Bortolin‐Cavaillé, Aldema Sas‐Chen, et al.. (2022). Antisense pairing and SNORD13 structure guide RNA cytidine acetylation. RNA. 28(12). rna.079254.122–rna.079254.122. 16 indexed citations
3.
Marty, Virginie, Pascale Mercier, Nicolai Krogh, et al.. (2020). Re-assessment of the involvement of Snord115 in the serotonin 2C receptor pathway in a genetically relevant mouse model. eLife. 9. 5 indexed citations
4.
Marty, Virginie, Pascale Mercier, Nicolai Krogh, et al.. (2020). Reassessment of the involvement of Snord115 in the serotonin 2c receptor pathway in a genetically relevant mouse model. eLife. 9. 30 indexed citations
5.
Thomas, Justin M., Chloe A. Briney, Kellie D. Nance, et al.. (2018). A Chemical Signature for Cytidine Acetylation in RNA. Journal of the American Chemical Society. 140(40). 12667–12670. 81 indexed citations
6.
Castel, David, Meryem B. Baghdadi, Sébastien Mella, et al.. (2018). Small-RNA sequencing identifies dynamic microRNA deregulation during skeletal muscle lineage progression. Scientific Reports. 8(1). 4208–4208. 17 indexed citations
7.
Bortolin‐Cavaillé, Marie‐Line & Jérôme Cavaillé. (2012). The SNORD115 (H/MBII-52) and SNORD116 (H/MBII-85) gene clusters at the imprinted Prader-Willi locus generate canonical box C/D snoRNAs. Nucleic Acids Research. 40(14). 6800–6807. 70 indexed citations
8.
Labialle, Stéphane & Jérôme Cavaillé. (2011). Do repeated arrays of regulatory small‐RNA genes elicit genomic imprinting?. BioEssays. 33(8). 565–573. 17 indexed citations
9.
Renalier, Marie-Hélène, Xabier Agirre, Geisilene Russano de Paiva Silva, et al.. (2011). Hypoxia-microRNA-16 downregulation induces VEGF expression in anaplastic lymphoma kinase (ALK)-positive anaplastic large-cell lymphomas. Leukemia. 25(12). 1882–1890. 83 indexed citations
10.
Abu‐Amero, Sayeda, Mohamed Al-Khtib, A. Lefèvre, et al.. (2010). The primate-specific microRNA gene cluster (C19MC) is imprinted in the placenta. Human Molecular Genetics. 19(18). 3566–3582. 257 indexed citations
11.
Royo, Hélène & Jérôme Cavaillé. (2008). Non‐coding RNAs in imprinted gene clusters. Biology of the Cell. 100(3). 149–166. 149 indexed citations
12.
Royo, Hélène, et al.. (2007). Bsr, a Nuclear-retained RNA with Monoallelic Expression. Molecular Biology of the Cell. 18(8). 2817–2827. 25 indexed citations
13.
Vitali, Patrice & Jérôme Cavaillé. (2005). Petits ARN C/D et syndrome de Prader-Willi. médecine/sciences. 21(12). 1017–1019. 2 indexed citations
14.
Davis, Erica E., Florian Caiment, Xavier Tordoir, et al.. (2005). RNAi-Mediated Allelic trans-Interaction at the Imprinted Rtl1/Peg11 Locus. Current Biology. 15(8). 743–749. 261 indexed citations
15.
Hüttenhofer, Alexander, Jérôme Cavaillé, & Jean‐Pierre Bachellerie. (2004). Experimental Rnomics. Humana Press eBooks. 265. 409–428. 31 indexed citations
16.
Seitz, Hervé, Hélène Royo, Marie‐Line Bortolin‐Cavaillé, et al.. (2004). A Large Imprinted microRNA Gene Cluster at the Mouse Dlk1-Gtl2 Domain. Genome Research. 14(9). 1741–1748. 425 indexed citations
17.
18.
Cavaillé, Jérôme, Farid Chetouani, & Jean-Pierre Bachellerie. (1999). The yeast Saccharomyces cerevisiae YDL112w ORF encodes the putative 2′-O-ribose methyltransferase catalyzing the formation of Gm18 in tRNAs. RNA. 5(1). 66–81. 81 indexed citations
19.
Cavaillé, Jérôme & Jean‐Pierre Bachellerie. (1996). Processing of fibrillarin-associated snoRNAs from pre-mRNA introns: An exonucleolytic process exclusively directed by the common stem-box terminal structure. Biochimie. 78(6). 443–456. 77 indexed citations
20.
Cavaillé, Jérôme, Monique Nicoloso, & Jean-Pierre Bachellerie. (1996). Targeted ribose methylation of RNA in vivo directed by tailored antisense RNA guides. Nature. 383(6602). 732–735. 278 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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