Jean‐Yves Roignant

4.3k total citations · 2 hit papers
43 papers, 2.9k citations indexed

About

Jean‐Yves Roignant is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jean‐Yves Roignant has authored 43 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jean‐Yves Roignant's work include RNA modifications and cancer (25 papers), RNA Research and Splicing (16 papers) and Cancer-related gene regulation (13 papers). Jean‐Yves Roignant is often cited by papers focused on RNA modifications and cancer (25 papers), RNA Research and Splicing (16 papers) and Cancer-related gene regulation (13 papers). Jean‐Yves Roignant collaborates with scholars based in Germany, Switzerland and France. Jean‐Yves Roignant's co-authors include Matthias Soller, Jessica E. Treisman, Tina Lenče, Nastasja Kreim, Mark Helm, Miguel A. Andrade‐Navarro, Junaid Akhtar, Christophe Antoniewski, Clément Carré and Marc Bayer and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jean‐Yves Roignant

43 papers receiving 2.9k citations

Hit Papers

Zc3h13/Flacc is required for adenosine methylation by bri... 2016 2026 2019 2022 2018 2016 100 200 300 400

Peers

Jean‐Yves Roignant
Marc Bühler Switzerland
Lijia Ma China
Yi‐Tao Yu United States
Maxwell R. Mumbach United States
Xinfu Jiao United States
Yoosik Kim South Korea
Marc Bühler Switzerland
Jean‐Yves Roignant
Citations per year, relative to Jean‐Yves Roignant Jean‐Yves Roignant (= 1×) peers Marc Bühler

Countries citing papers authored by Jean‐Yves Roignant

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Yves Roignant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Yves Roignant. 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 Jean‐Yves Roignant. The network helps show where Jean‐Yves Roignant may publish in the future.

Co-authorship network of co-authors of Jean‐Yves Roignant

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Yves Roignant. A scholar is included among the top collaborators of Jean‐Yves Roignant 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 Jean‐Yves Roignant. Jean‐Yves Roignant 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.
Sklias, Athéna, Sonia Cruciani, Virginie Marchand, et al.. (2024). Comprehensive map of ribosomal 2′-O-methylation and C/D box snoRNAs in Drosophila melanogaster. Nucleic Acids Research. 52(6). 2848–2864. 15 indexed citations
2.
Pryszcz, Leszek P., Laia Llovera, Morghan C. Lucas, et al.. (2024). Enhanced detection of RNA modifications and read mapping with high-accuracy nanopore RNA basecalling models. Genome Research. 34(11). 1865–1877. 12 indexed citations
3.
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
4.
Torres-Méndez, Antonio, Sophie Bonnal, Isabel Almudí, et al.. (2022). Parallel evolution of a splicing program controlling neuronal excitability in flies and mammals. Science Advances. 8(4). eabk0445–eabk0445. 25 indexed citations
5.
Ho, Cheuk Hei, Chiara Paolantoni, Praveen Bawankar, et al.. (2021). An exon junction complex‐independent function of Barentsz in neuromuscular synapse growth. EMBO Reports. 23(1). e53231–e53231. 2 indexed citations
6.
Bawankar, Praveen, Tina Lenče, Chiara Paolantoni, et al.. (2021). Hakai is required for stabilization of core components of the m6A mRNA methylation machinery. Nature Communications. 12(1). 3778–3778. 113 indexed citations
7.
Werner, Stephan, Florian Pichot, Virginie Marchand, et al.. (2020). NOseq: amplicon sequencing evaluation method for RNA m6A sites after chemical deamination. Nucleic Acids Research. 49(4). e23–e23. 36 indexed citations
8.
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
9.
Spagnuolo, Mariangela, Mihika Pradhan, Ludivine Wacheul, et al.. (2020). The 18S ribosomal RNA m 6 A methyltransferase Mettl5 is required for normal walking behavior in Drosophila. EMBO Reports. 21(7). e49443–e49443. 57 indexed citations
10.
Gehring, Niels H. & Jean‐Yves Roignant. (2020). Anything but Ordinary – Emerging Splicing Mechanisms in Eukaryotic Gene Regulation. Trends in Genetics. 37(4). 355–372. 73 indexed citations
11.
Silva, Rui D., Célia Carvalho, Bruno Marques, et al.. (2020). NineTeen Complex-subunit Salsa is required for efficient splicing of a subset of introns and dorsal–ventral patterning. RNA. 26(12). 1935–1956. 2 indexed citations
12.
Lenče, Tina, Chiara Paolantoni, Lina Worpenberg, & Jean‐Yves Roignant. (2018). Mechanistic insights into m6A RNA enzymes. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1862(3). 222–229. 97 indexed citations
13.
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
14.
Lenče, Tina, Matthias Soller, & Jean‐Yves Roignant. (2017). A fly view on the roles and mechanisms of the m 6 A mRNA modification and its players. RNA Biology. 14(9). 1232–1240. 56 indexed citations
15.
Roignant, Jean‐Yves & Matthias Soller. (2017). m 6 A in mRNA: An Ancient Mechanism for Fine-Tuning Gene Expression. Trends in Genetics. 33(6). 380–390. 342 indexed citations
16.
Szczurek, Aleksander, Kirti Prakash, Giriram Mohana, et al.. (2015). Localization microscopy of DNA in situ using Vybrant ® DyeCycle™ Violet fluorescent probe: A new approach to study nuclear nanostructure at single molecule resolution. Experimental Cell Research. 343(2). 97–106. 22 indexed citations
17.
Roignant, Jean‐Yves & Jessica E. Treisman. (2010). Exon Junction Complex Subunits Are Required to Splice Drosophila MAP Kinase, a Large Heterochromatic Gene. Cell. 143(2). 238–250. 93 indexed citations
18.
Miura, Grant, Jean‐Yves Roignant, Michel Wassef, & Jessica E. Treisman. (2008). Myopic acts in the endocytic pathway to enhance signaling by the Drosophila EGF receptor. Development. 135(11). 1913–1922. 48 indexed citations
19.
Miura, Grant, Jean‐Yves Roignant, Michel Wassef, & Jessica E. Treisman. (2008). Myopic acts in the endocytic pathway to enhance signaling by the Drosophila EGF receptor. Journal of Cell Science. 121(11). 2 indexed citations
20.
Brodu, Véronique, Bruno Mugat, Jean‐Yves Roignant, Jean‐Antoine Lepesant, & Christophe Antoniewski. (1999). Dual Requirement for the EcR/USP Nuclear Receptor and the dGATAb Factor in an Ecdysone Response in Drosophila melanogaster. Molecular and Cellular Biology. 19(8). 5732–5742. 34 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026