Yann Audic

1.1k total citations
31 papers, 838 citations indexed

About

Yann Audic is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Yann Audic has authored 31 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Oncology. Recurrent topics in Yann Audic's work include RNA Research and Splicing (22 papers), RNA modifications and cancer (15 papers) and RNA and protein synthesis mechanisms (10 papers). Yann Audic is often cited by papers focused on RNA Research and Splicing (22 papers), RNA modifications and cancer (15 papers) and RNA and protein synthesis mechanisms (10 papers). Yann Audic collaborates with scholars based in France, United States and Belgium. Yann Audic's co-authors include Rebecca S. Hartley, H. Beverley Osborne, Luc Paillard, Olivier Le Tonquèze, Serge Hardy, Vincent Legagneux, Valentine Murigneux, Hugues Roest Crollius, Zhen Wang and Hervé Le Hir and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Yann Audic

31 papers receiving 823 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yann Audic France 13 775 138 50 40 40 31 838
Bertrand Cosson France 17 737 1.0× 81 0.6× 62 1.2× 28 0.7× 36 0.9× 30 863
Nader Ezzeddine United States 10 700 0.9× 120 0.9× 35 0.7× 47 1.2× 21 0.5× 11 759
Theodoros Kantidakis United Kingdom 11 769 1.0× 113 0.8× 52 1.0× 88 2.2× 79 2.0× 15 873
Caroline Dalgliesh United Kingdom 18 825 1.1× 188 1.4× 96 1.9× 51 1.3× 16 0.4× 23 970
Keng Boon Wee Singapore 11 602 0.8× 99 0.7× 53 1.1× 100 2.5× 36 0.9× 15 678
Martin Dienstbier United Kingdom 11 910 1.2× 103 0.7× 77 1.5× 44 1.1× 120 3.0× 11 982
Chuanbing Zhu China 17 460 0.6× 93 0.7× 76 1.5× 58 1.4× 36 0.9× 32 602
Vincent Liu United States 8 590 0.8× 73 0.5× 53 1.1× 56 1.4× 65 1.6× 9 678
Jennifer Caldwell Busby United States 6 259 0.3× 69 0.5× 71 1.4× 50 1.3× 30 0.8× 6 378
J. P. Venables United Kingdom 9 501 0.6× 88 0.6× 127 2.5× 25 0.6× 19 0.5× 9 601

Countries citing papers authored by Yann Audic

Since Specialization
Citations

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

Fields of papers citing papers by Yann Audic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yann Audic

This figure shows the co-authorship network connecting the top 25 collaborators of Yann Audic. A scholar is included among the top collaborators of Yann Audic 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 Yann Audic. Yann Audic 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.
Roux, Émeline, et al.. (2024). Fully in vitro iterative construction of a 24 kb-long artificial DNA sequence to store digital information. BioTechniques. 76(5). 207–219. 1 indexed citations
2.
3.
Reboutier, David, Stéphane Deschamps, Agnès Méreau, et al.. (2022). The RNA-binding proteins CELF1 and ELAVL1 cooperatively control the alternative splicing of CD44. Biochemical and Biophysical Research Communications. 626. 79–84. 6 indexed citations
4.
Taylor, William R., Stéphane Deschamps, David Reboutier, et al.. (2022). The Splicing Factor PTBP1 Represses TP63 γ Isoform Production in Squamous Cell Carcinoma. Cancer Research Communications. 2(12). 1669–1683. 2 indexed citations
5.
O’Grady, Tina, Agnès Méreau, Marc Thiry, et al.. (2021). DHX15-independent roles for TFIP11 in U6 snRNA modification, U4/U6.U5 tri-snRNP assembly and pre-mRNA splicing fidelity. Nature Communications. 12(1). 6648–6648. 14 indexed citations
6.
Domenger, Claire, Virginie François, Adrien Léger, et al.. (2017). RNA-Seq Analysis of an Antisense Sequence Optimized for Exon Skipping in Duchenne Patients Reveals No Off-Target Effect. Molecular Therapy — Nucleic Acids. 10. 277–291. 7 indexed citations
7.
Méreau, Agnès, Carole Gautier‐Courteille, Vincent Legagneux, et al.. (2016). Robust identification of Ptbp1-dependent splicing events by a junction-centric approach in Xenopus laevis. Developmental Biology. 426(2). 449–459. 3 indexed citations
8.
Tonquèze, Olivier Le, Bernhard Gschloessl, Vincent Legagneux, Luc Paillard, & Yann Audic. (2016). Identification of CELF1 RNA targets by CLIP-seq in human HeLa cells. Genomics Data. 8. 97–103. 16 indexed citations
9.
Mottier, Stéphanie, Carole Gautier‐Courteille, Luc Paillard, et al.. (2015). Ptbp1 and Exosc9 knockdowns trigger skin stability defects through different pathways. Developmental Biology. 409(2). 489–501. 14 indexed citations
10.
Hardy, Serge, et al.. (2014). zfp36 expression delineates both myeloid cells and cells localized to the fusing neural folds in Xenopus tropicalis. The International Journal of Developmental Biology. 58(10-11-12). 751–755. 1 indexed citations
11.
Cibois, Marie, et al.. (2012). Inactivation of the Celf1 Gene that Encodes an RNA-Binding Protein Delays the First Wave of Spermatogenesis in Mice. PLoS ONE. 7(10). e46337–e46337. 10 indexed citations
12.
Saulière, Jérôme, Valentine Murigneux, Zhen Wang, et al.. (2012). CLIP-seq of eIF4AIII reveals transcriptome-wide mapping of the human exon junction complex. Nature Structural & Molecular Biology. 19(11). 1124–1131. 159 indexed citations
13.
Audic, Yann, et al.. (2012). Expression analysis of the polypyrimidine tract binding protein (PTBP1) and its paralogs PTBP2 and PTBP3 during Xenopus tropicalis embryogenesis. The International Journal of Developmental Biology. 56(9). 747–753. 10 indexed citations
14.
Tonquèze, Olivier Le, et al.. (2010). Chromosome wide analysis of CUGBP1 binding sites identifies the tetraspanin CD9 mRNA as a target for CUGBP1-mediated down-regulation. Biochemical and Biophysical Research Communications. 394(4). 884–889. 10 indexed citations
15.
Tonquèze, Olivier Le, et al.. (2008). Identification of CUG-BP1/EDEN-BP target mRNAs in Xenopus tropicalis. Nucleic Acids Research. 36(6). 1861–1870. 43 indexed citations
16.
Guo, Xun, et al.. (2008). ElrA and AUF1 differentially bind cyclin B2 mRNA. Biochemical and Biophysical Research Communications. 377(2). 653–657. 4 indexed citations
17.
Audic, Yann & Rebecca S. Hartley. (2004). Post‐transcriptional regulation in cancer. Biology of the Cell. 96(7). 479–498. 187 indexed citations
18.
Audic, Yann, et al.. (2002). Zygotic control of maternal cyclin A1 translation and mRNA stability. Developmental Dynamics. 225(4). 511–521. 19 indexed citations
19.
Audic, Yann, et al.. (2001). Cyclin E morpholino delays embryogenesis in Xenopus. genesis. 30(3). 107–109. 12 indexed citations
20.
Audic, Yann, Francis Omilli, & H. Beverley Osborne. (1998). Embryo Deadenylation Element-Dependent Deadenylation Is Enhanced by a cis Element Containing AUU Repeats. Molecular and Cellular Biology. 18(12). 6879–6884. 37 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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