Laure Bidou

1.7k total citations
28 papers, 1.3k citations indexed

About

Laure Bidou is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Laure Bidou has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Laure Bidou's work include RNA and protein synthesis mechanisms (19 papers), RNA modifications and cancer (9 papers) and RNA Research and Splicing (7 papers). Laure Bidou is often cited by papers focused on RNA and protein synthesis mechanisms (19 papers), RNA modifications and cancer (9 papers) and RNA Research and Splicing (7 papers). Laure Bidou collaborates with scholars based in France, Russia and Japan. Laure Bidou's co-authors include Jean‐Pierre Rousset, Célia Floquet, Olivier Namy, Isabelle Hatin, Valérie Allamand, Guillaume Stahl, M Cassan, Jules Deforges, Jean‐Jacques Panthier and Norma Pérez 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

Laure Bidou

28 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laure Bidou France 17 1.0k 169 167 100 90 28 1.3k
Eran Rom Israel 17 1.1k 1.1× 37 0.2× 128 0.8× 76 0.8× 109 1.2× 31 1.4k
Joël Acker France 20 1.4k 1.4× 94 0.6× 155 0.9× 84 0.8× 275 3.1× 32 1.6k
Fabrice Lejeune France 21 2.3k 2.3× 60 0.4× 159 1.0× 130 1.3× 91 1.0× 32 2.5k
Allison Lange United States 9 1.1k 1.1× 51 0.3× 151 0.9× 166 1.7× 107 1.2× 11 1.4k
T. Wilson United States 16 944 0.9× 44 0.3× 194 1.2× 282 2.8× 51 0.6× 30 1.7k
Y. Nakatani Japan 20 809 0.8× 268 1.6× 173 1.0× 250 2.5× 52 0.6× 37 1.4k
Paolo Sarmientos Italy 23 857 0.9× 55 0.3× 384 2.3× 85 0.8× 171 1.9× 44 1.3k
Annarita Miluzio Italy 18 810 0.8× 52 0.3× 104 0.6× 135 1.4× 105 1.2× 28 1.1k
Dejun Lin United States 8 863 0.9× 102 0.6× 83 0.5× 177 1.8× 41 0.5× 8 1.3k
Quan Ho United States 6 1.4k 1.4× 147 0.9× 266 1.6× 141 1.4× 24 0.3× 6 1.6k

Countries citing papers authored by Laure Bidou

Since Specialization
Citations

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

Fields of papers citing papers by Laure Bidou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laure Bidou

This figure shows the co-authorship network connecting the top 25 collaborators of Laure Bidou. A scholar is included among the top collaborators of Laure Bidou 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 Laure Bidou. Laure Bidou 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.
Hatton, Aurélie, Iwona Pranke, Isabelle Sermet‐Gaudelus, et al.. (2024). TLN468 changes the pattern of tRNA used to read through premature termination codons in CFTR. Journal of Cystic Fibrosis. 23(6). 1185–1194. 5 indexed citations
2.
Pranke, Iwona, Aurélie Hatton, Caroline Faucon, et al.. (2022). The U UGA C sequence provides a favorable context to ELX-02 induced CFTR readthrough. Journal of Cystic Fibrosis. 22(3). 560–563. 11 indexed citations
3.
Lapalus, Martine, Brigitte Grosse, Anne Spraul, et al.. (2020). Pharmacological Premature Termination Codon Readthrough of ABCB11 in Bile Salt Export Pump Deficiency: An In Vitro Study. Hepatology. 73(4). 1449–1463. 11 indexed citations
4.
Pranke, Iwona, Laure Bidou, Natacha Martin, et al.. (2018). Factors influencing readthrough therapy for frequent cystic fibrosis premature termination codons. ERJ Open Research. 4(1). 80–2017. 36 indexed citations
5.
Bidou, Laure, Valérie Allamand, Jean‐Pierre Rousset, & Olivier Namy. (2012). Sense from nonsense: therapies for premature stop codon diseases. Trends in Molecular Medicine. 18(11). 679–688. 133 indexed citations
6.
Floquet, Célia, Jean‐Pierre Rousset, & Laure Bidou. (2012). Thérapie spécifique d’allèle. médecine/sciences. 28(2). 193–199. 1 indexed citations
7.
Floquet, Célia, Isabelle Hatin, Jean‐Pierre Rousset, & Laure Bidou. (2012). Statistical Analysis of Readthrough Levels for Nonsense Mutations in Mammalian Cells Reveals a Major Determinant of Response to Gentamicin. PLoS Genetics. 8(3). e1002608–e1002608. 111 indexed citations
8.
Floquet, Célia, Jules Deforges, Jean‐Pierre Rousset, & Laure Bidou. (2010). Rescue of non-sense mutated p53 tumor suppressor gene by aminoglycosides. Nucleic Acids Research. 39(8). 3350–3362. 124 indexed citations
9.
Bidou, Laure, et al.. (2010). Translational errors: from yeast to new therapeutic targets. FEMS Yeast Research. 10(8). 1070–1082. 12 indexed citations
10.
Kolosov, Peter, et al.. (2007). How does Euplotes translation termination factor eRF1 fail to recognize the UGA stop codon?. Molecular Biology. 41(6). 924–931. 4 indexed citations
11.
Allamand, Valérie, Laure Bidou, Masayuki Arakawa, et al.. (2007). Drug‐induced readthrough of premature stop codons leads to the stabilization of laminin α2 chain mRNA in CMD myotubes. The Journal of Gene Medicine. 10(2). 217–224. 53 indexed citations
12.
Sermet‐Gaudelus, Isabelle, Michel Renouil, Anne Fajac, et al.. (2007). In vitroprediction of stop-codon suppression by intravenous gentamicin in patients with cystic fibrosis: a pilot study. BMC Medicine. 5(1). 5–5. 118 indexed citations
14.
Bekaert, Michaël, Laure Bidou, Alain Denise, et al.. (2003). Towards a computational model for −1 eukaryotic frameshifting sites. Bioinformatics. 19(3). 327–335. 38 indexed citations
15.
Namy, Olivier, Isabelle Hatin, Guillaume Stahl, et al.. (2002). Gene Overexpression as a Tool for Identifying New trans-Acting Factors Involved in Translation Termination in Saccharomyces cerevisiae. Genetics. 161(2). 585–594. 16 indexed citations
16.
Bidou, Laure, Guillaume Stahl, Isabelle Hatin, et al.. (2000). Nonsense-mediated decay mutants do not affect programmed −1 frameshifting. RNA. 6(7). 952–961. 67 indexed citations
17.
Blancher, Christine, B. Omri, Laure Bidou, Bernard Pessac, & Patricia Crisanti. (1996). Nectinepsin: A New Extracellular Matrix Protein of the Pexin Family. Journal of Biological Chemistry. 271(42). 26220–26226. 8 indexed citations
18.
Stahl, Guillaume, Laure Bidou, Jean‐Pierre Rousset, & M Cassan. (1995). Versatile vectors to study recoding: conservation of rules between yeast and mammalian cells. Nucleic Acids Research. 23(9). 1557–1560. 89 indexed citations
19.
Bidou, Laure, Patricia Crisanti, Christine Blancher, & Bernard Pessac. (1993). A novel cDNA corresponding to transcripts expressed in retina post-mitotic neurons. Mechanisms of Development. 43(2-3). 159–173. 9 indexed citations
20.
Guermah, Mohamed, Patricia Crisanti, D Laugier, et al.. (1991). Transcription of a quail gene expressed in embryonic retinal cells is shut off sharply at hatching.. Proceedings of the National Academy of Sciences. 88(10). 4503–4507. 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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