Hervé Le Hir

9.2k total citations · 4 hit papers
68 papers, 6.9k citations indexed

About

Hervé Le Hir is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hervé Le Hir has authored 68 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hervé Le Hir's work include RNA Research and Splicing (57 papers), RNA and protein synthesis mechanisms (46 papers) and RNA modifications and cancer (37 papers). Hervé Le Hir is often cited by papers focused on RNA Research and Splicing (57 papers), RNA and protein synthesis mechanisms (46 papers) and RNA modifications and cancer (37 papers). Hervé Le Hir collaborates with scholars based in France, United States and Germany. Hervé Le Hir's co-authors include Melissa J. Moore, Bertrand Séraphin, Lionel Ballut, Zhen Wang, Jérôme Saulière, Hala Chamieh, Fabien Bonneau, Francesca Fiorini, Lynne E. Maquat and G.R. Andersen and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Hervé Le Hir

66 papers receiving 6.9k citations

Hit Papers

The spliceosome deposits ... 2000 2026 2008 2017 2000 2001 2003 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hervé Le Hir France 39 6.4k 395 383 380 310 68 6.9k
Oliver Mühlemann Switzerland 37 4.5k 0.7× 276 0.7× 217 0.6× 362 1.0× 408 1.3× 69 5.2k
Richard J Maraia United States 47 4.9k 0.8× 401 1.0× 582 1.5× 354 0.9× 328 1.1× 112 5.4k
Claire Moore United States 42 6.8k 1.1× 330 0.8× 424 1.1× 642 1.7× 187 0.6× 93 7.4k
Elmar Wahle Germany 48 7.0k 1.1× 391 1.0× 421 1.1× 732 1.9× 213 0.7× 88 7.6k
Jens Lykke‐Andersen United States 40 7.1k 1.1× 974 2.5× 286 0.7× 405 1.1× 323 1.0× 61 7.8k
Jamal Tazi France 43 5.3k 0.8× 511 1.3× 259 0.7× 457 1.2× 187 0.6× 87 6.0k
Giuseppe Biamonti Italy 47 5.5k 0.9× 688 1.7× 457 1.2× 445 1.2× 287 0.9× 114 6.3k
Maria M. Konarska United States 36 5.5k 0.9× 181 0.5× 350 0.9× 408 1.1× 531 1.7× 61 6.2k
Richard A. Padgett United States 38 6.9k 1.1× 421 1.1× 476 1.2× 758 2.0× 408 1.3× 72 7.9k
Fátima Gebauer Spain 34 3.5k 0.6× 577 1.5× 209 0.5× 634 1.7× 374 1.2× 76 4.7k

Countries citing papers authored by Hervé Le Hir

Since Specialization
Citations

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

Fields of papers citing papers by Hervé Le Hir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hervé Le Hir. 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 Hervé Le Hir. The network helps show where Hervé Le Hir may publish in the future.

Co-authorship network of co-authors of Hervé Le Hir

This figure shows the co-authorship network connecting the top 25 collaborators of Hervé Le Hir. A scholar is included among the top collaborators of Hervé Le Hir 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 Hervé Le Hir. Hervé Le Hir 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.
Safieddine, Adham, et al.. (2025). Polysome sorting controls mRNA localization and protein fate. Trends in Cell Biology. 36(3). 200–213.
3.
Saveanu, Cosmin, et al.. (2025). RNA anchoring of Upf1 facilitates recruitment of Dcp2 in the NMD decapping complex. Nucleic Acids Research. 53(5). 1 indexed citations
4.
Bensaude, Olivier, et al.. (2024). Exon-junction complex association with stalled ribosomes and slow translation-independent disassembly. Nature Communications. 15(1). 4209–4209. 5 indexed citations
5.
Safieddine, Adham, Emeline Coleno, Arthur Imbert, et al.. (2021). A choreography of centrosomal mRNAs reveals a conserved localization mechanism involving active polysome transport. Nature Communications. 12(1). 1352–1352. 59 indexed citations
6.
Kwon, Oh Sung, Rahul Mishra, Adham Safieddine, et al.. (2021). Exon junction complex dependent mRNA localization is linked to centrosome organization during ciliogenesis. Nature Communications. 12(1). 1351–1351. 35 indexed citations
7.
Barbosa, Isabelle, Hua Jiang, Kelly R. Molloy, et al.. (2020). NCBP3 positively impacts mRNA biogenesis. Nucleic Acids Research. 48(18). 10413–10427. 30 indexed citations
8.
Bahin, Mathieu, Benoît Noël, Valentine Murigneux, et al.. (2019). ALFA: annotation landscape for aligned reads. BMC Genomics. 20(1). 250–250. 7 indexed citations
9.
Decourty, Laurence, Abdelkader Namane, Caroline Proux, et al.. (2018). Nonsense‐mediated mRNA decay involves two distinct Upf1‐bound complexes. The EMBO Journal. 37(21). 34 indexed citations
10.
Decourty, Laurence, et al.. (2018). UPF1-like helicase grip on nucleic acids dictates processivity. Nature Communications. 9(1). 3752–3752. 38 indexed citations
11.
Fiorini, Francesca, Debjani Bagchi, Hervé Le Hir, & Vincent Croquette. (2015). Human Upf1 is a highly processive RNA helicase and translocase with RNP remodelling activities. Nature Communications. 6(1). 7581–7581. 109 indexed citations
12.
Wang, Zhen, Valentine Murigneux, & Hervé Le Hir. (2014). Transcriptome-wide modulation of splicing by the exon junction complex. Genome biology. 15(12). 551–551. 74 indexed citations
13.
Daguenet, Élisabeth, Corinne Wendling, Nathalie Ulryck, et al.. (2013). EJC core component MLN51 interacts with eIF3 and activates translation. Proceedings of the National Academy of Sciences. 110(15). 5903–5908. 59 indexed citations
14.
Barbosa, Isabelle, Nazmul Haque, Francesca Fiorini, et al.. (2012). Human CWC22 escorts the helicase eIF4AIII to spliceosomes and promotes exon junction complex assembly. Nature Structural & Molecular Biology. 19(10). 983–990. 91 indexed citations
15.
Saulière, Jérôme, et al.. (2010). The exon junction complex differentially marks spliced junctions. Nature Structural & Molecular Biology. 17(10). 1269–1271. 53 indexed citations
16.
Chan, Wai-Kin, Angela D. Bhalla, Hervé Le Hir, et al.. (2009). A UPF3-mediated regulatory switch that maintains RNA surveillance. Nature Structural & Molecular Biology. 16(7). 747–753. 94 indexed citations
17.
Buchet-Poyau, Karine, Julien Courchet, Hervé Le Hir, et al.. (2007). Identification and characterization of human Mex-3 proteins, a novel family of evolutionarily conserved RNA-binding proteins differentially localized to processing bodies. Nucleic Acids Research. 35(4). 1289–1300. 123 indexed citations
18.
Andersen, Christian Brix Folsted, Lionel Ballut, Jesper Johansen, et al.. (2006). Structure of the Exon Junction Core Complex with a Trapped DEAD-Box ATPase Bound to RNA. Science. 313(5795). 1968–1972. 336 indexed citations
19.
Gatfield, David, Hervé Le Hir, Isabelle C. Kos‐Braun, et al.. (2001). The DExH/D box protein HEL/UAP56 is essential for mRNA nuclear export in Drosophila. Current Biology. 11(21). 1716–1721. 193 indexed citations
20.
Hir, Hervé Le, et al.. (1996). A Novel Rat Tyrosine Hydroxylase mRNA Species Generated by Alternative Splicing. Journal of Neurochemistry. 66(5). 1819–1825. 19 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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