Fabrice Lejeune

3.4k total citations
32 papers, 2.5k citations indexed

About

Fabrice Lejeune is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Fabrice Lejeune has authored 32 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Genetics. Recurrent topics in Fabrice Lejeune's work include RNA Research and Splicing (26 papers), RNA and protein synthesis mechanisms (25 papers) and RNA modifications and cancer (15 papers). Fabrice Lejeune is often cited by papers focused on RNA Research and Splicing (26 papers), RNA and protein synthesis mechanisms (25 papers) and RNA modifications and cancer (15 papers). Fabrice Lejeune collaborates with scholars based in France, United States and South Korea. Fabrice Lejeune's co-authors include Lynne E. Maquat, Xiaojie Li, James Stévenin, Cyril F. Bourgeois, Nao Hosoda, Aparna C. Ranganathan, Yoon Ki Kim, Richard Breathnach, Fabienne Del Gatto–Konczak and Jieshuang Jia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Fabrice Lejeune

31 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabrice Lejeune France 21 2.3k 159 153 151 130 32 2.5k
Cyril F. Bourgeois France 26 2.0k 0.9× 190 1.2× 228 1.5× 242 1.6× 102 0.8× 39 2.3k
Jeremy R. Sanford United States 27 2.7k 1.2× 179 1.1× 488 3.2× 159 1.1× 109 0.8× 49 3.0k
Concepción Martínez Spain 19 1.6k 0.7× 173 1.1× 114 0.7× 134 0.9× 84 0.6× 28 1.9k
Jingyi Hui China 22 1.9k 0.8× 156 1.0× 497 3.2× 132 0.9× 89 0.7× 32 2.1k
Nianhua Xu United States 11 1.2k 0.5× 110 0.7× 169 1.1× 166 1.1× 92 0.7× 14 1.4k
Sowmya Iyer United States 14 2.0k 0.9× 465 2.9× 147 1.0× 159 1.1× 79 0.6× 18 2.2k
John LaCava United States 21 2.2k 1.0× 109 0.7× 194 1.3× 156 1.0× 91 0.7× 49 2.5k
James Stévenin France 34 3.0k 1.3× 281 1.8× 183 1.2× 120 0.8× 229 1.8× 71 3.2k
Takeshi Ueda Japan 18 1.3k 0.5× 121 0.8× 138 0.9× 202 1.3× 47 0.4× 39 1.5k
Isao Kashima Japan 12 2.1k 0.9× 89 0.6× 82 0.5× 64 0.4× 137 1.1× 12 2.2k

Countries citing papers authored by Fabrice Lejeune

Since Specialization
Citations

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

Fields of papers citing papers by Fabrice Lejeune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrice Lejeune

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrice Lejeune. A scholar is included among the top collaborators of Fabrice Lejeune 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 Fabrice Lejeune. Fabrice Lejeune 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.
Lejeune, Fabrice, et al.. (2025). Screening Methods for NMD Inhibitors or Readthrough Activators. Methods in molecular biology. 2962. 255–265.
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Lejeune, Fabrice, et al.. (2023). Nonsense-mediated mRNA decay, a simplified view of a complex mechanism. BMB Reports. 56(12). 625–632. 12 indexed citations
5.
Jonchère, Vincent, Anaïs Lagrange, Magali Svrcek, et al.. (2018). Targeting nonsense-mediated mRNA decay in colorectal cancers with microsatellite instability. Oncogenesis. 7(9). 70–70. 60 indexed citations
6.
Jia, Jieshuang, Elisabeth Werkmeister, Sara Gonzalez-Hilarion, et al.. (2017). Premature termination codon readthrough in human cells occurs in novel cytoplasmic foci and requires UPF proteins. Journal of Cell Science. 130(18). 3009–3022. 16 indexed citations
7.
Lejeune, Fabrice. (2017). Nonsense-mediated mRNA decay at the crossroads of many cellular pathways. BMB Reports. 50(4). 175–185. 48 indexed citations
8.
Gonzalez-Hilarion, Sara, Séverine Amand, Anne Prévötat, et al.. (2017). Optimized approach for the identification of highly efficient correctors of nonsense mutations in human diseases. PLoS ONE. 12(11). e0187930–e0187930. 19 indexed citations
9.
Jia, Jieshuang, Alessandro Furlan, Sara Gonzalez-Hilarion, et al.. (2015). Caspases shutdown nonsense-mediated mRNA decay during apoptosis. Cell Death and Differentiation. 22(11). 1754–1763. 38 indexed citations
10.
Gonzalez-Hilarion, Sara, Terence Beghyn, Jieshuang Jia, et al.. (2012). Rescue of nonsense mutations by amlexanox in human cells. Orphanet Journal of Rare Diseases. 7(1). 58–58. 124 indexed citations
11.
Dreumont, Natacha, Cyril F. Bourgeois, Fabrice Lejeune, et al.. (2009). Human RBMY regulates germline-specific splicing events by modulating the function of the serine/arginine-rich proteins 9G8 and Tra2-β. Journal of Cell Science. 123(1). 40–50. 37 indexed citations
12.
Hosoda, Nao, Yoon Ki Kim, Fabrice Lejeune, & Lynne E. Maquat. (2005). CBP80 promotes interaction of Upf1 with Upf2 during nonsense-mediated mRNA decay in mammalian cells. Nature Structural & Molecular Biology. 12(10). 893–901. 119 indexed citations
13.
Bourgeois, Cyril F., Fabrice Lejeune, & James Stévenin. (2004). Broad Specificity of SR (Serine⧸Arginine) Proteins in the Regulation of Alternative Splicing of Pre-Messenger RNA. Progress in nucleic acid research and molecular biology. 78. 37–88. 169 indexed citations
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Brumbaugh, Kathryn M., Diane M. Otterness, Christoph Geisen, et al.. (2004). The mRNA Surveillance Protein hSMG-1 Functions in Genotoxic Stress Response Pathways in Mammalian Cells. Molecular Cell. 14(5). 585–598. 173 indexed citations
16.
Galiana-Arnoux, Delphine, Fabrice Lejeune, Marie-Claude Gesnel, et al.. (2003). The CD44 Alternative v9 Exon Contains a Splicing Enhancer Responsive to the SR Proteins 9G8, ASF/SF2, and SRp20. Journal of Biological Chemistry. 278(35). 32943–32953. 63 indexed citations
17.
Lejeune, Fabrice, Xiaojie Li, & Lynne E. Maquat. (2003). Nonsense-Mediated mRNA Decay in Mammalian Cells Involves Decapping, Deadenylating, and Exonucleolytic Activities. Molecular Cell. 12(3). 675–687. 303 indexed citations
18.
Lejeune, Fabrice. (2002). The exon junction complex is detected on CBP80-bound but not eIF4E-bound mRNA in mammalian cells: dynamics of mRNP remodeling. The EMBO Journal. 21(13). 3536–3545. 217 indexed citations
19.
Guiner, Caroline Le, Fabrice Lejeune, Delphine Galiana, et al.. (2001). TIA-1 and TIAR Activate Splicing of Alternative Exons with Weak 5′ Splice Sites followed by a U-rich Stretch on Their Own Pre-mRNAs. Journal of Biological Chemistry. 276(44). 40638–40646. 117 indexed citations
20.
Lejeune, Fabrice, Yvon Cavaloc, & James Stévenin. (2001). Alternative Splicing of Intron 3 of the Serine/Arginine-rich Protein 9G8 Gene. Journal of Biological Chemistry. 276(11). 7850–7858. 55 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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