Benoît Le Tallec

1.5k total citations
18 papers, 1.1k citations indexed

About

Benoît Le Tallec is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Benoît Le Tallec has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Genetics and 2 papers in Cell Biology. Recurrent topics in Benoît Le Tallec's work include DNA Repair Mechanisms (11 papers), Genetics and Neurodevelopmental Disorders (7 papers) and Epigenetics and DNA Methylation (6 papers). Benoît Le Tallec is often cited by papers focused on DNA Repair Mechanisms (11 papers), Genetics and Neurodevelopmental Disorders (7 papers) and Epigenetics and DNA Methylation (6 papers). Benoît Le Tallec collaborates with scholars based in France, Burundi and Norway. Benoît Le Tallec's co-authors include Michelle Debatisse, Olivier Brison, Bernard Dutrillaux, Anne Peyroche, Gaël A. Millot, Raphaël Guérois, A Letessier, Marion Blin, Marie‐Bénédicte Barrault and Régis Courbeyrette and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Benoît Le Tallec

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benoît Le Tallec France	13	1.0k	344	285	152	103	18	1.1k
Nicole Hustedt Switzerland	10	923 0.9×	105 0.3×	186 0.7×	236 1.6×	45 0.4×	11	1.0k
Naoko Yoshizawa-Sugata Japan	12	812 0.8×	117 0.3×	239 0.8×	150 1.0×	42 0.4×	20	936
Therese Wilhelm France	12	779 0.8×	136 0.4×	233 0.8×	202 1.3×	28 0.3×	13	866
Anne Helmrich Germany	8	859 0.8×	302 0.9×	88 0.3×	101 0.7×	27 0.3×	9	936
Roland Steinacher Switzerland	13	1.3k 1.3×	174 0.5×	86 0.3×	198 1.3×	52 0.5×	14	1.4k
Olivier Ganier France	11	879 0.9×	165 0.5×	198 0.7×	127 0.8×	25 0.2×	15	991
Miguel G. Blanco Spain	13	1.3k 1.3×	164 0.5×	333 1.2×	163 1.1×	26 0.3×	28	1.4k
Marie-Claude Landry Canada	9	848 0.8×	113 0.3×	127 0.4×	303 2.0×	53 0.5×	10	921
Julie Sollier United States	10	1.4k 1.4×	191 0.6×	165 0.6×	191 1.3×	34 0.3×	10	1.5k
Emilia Herrera‐Moyano Spain	11	1.1k 1.1×	192 0.6×	122 0.4×	159 1.0×	27 0.3×	16	1.2k

Countries citing papers authored by Benoît Le Tallec

Since Specialization

Citations

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

Fields of papers citing papers by Benoît Le Tallec

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Le Tallec

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Le Tallec. A scholar is included among the top collaborators of Benoît Le Tallec 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 Benoît Le Tallec. Benoît Le Tallec is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Proux, Florence, et al.. (2026). Automated mapping of DNA replication fork progression in human cells with ForkML. Nature Communications. 17(1).

Arbona, Jean‐Michel, et al.. (2025). Telomere-to-telomere DNA replication timing profiling using single-molecule sequencing with Nanotiming. Nature Communications. 16(1). 242–242. 4 indexed citations

Lacroix, Laurent, Jean‐Michel Arbona, Gaël A. Millot, et al.. (2022). Genome-wide mapping of individual replication fork velocities using nanopore sequencing. Nature Communications. 13(1). 3295–3295. 27 indexed citations

Blin, Marion, Laurent Lacroix, Nataliya Petryk, et al.. (2021). DNA molecular combing-based replication fork directionality profiling. Nucleic Acids Research. 49(12). e69–e69. 11 indexed citations

Hennion, Magali, Jean‐Michel Arbona, Laurent Lacroix, et al.. (2020). FORK-seq: replication landscape of the Saccharomyces cerevisiae genome by nanopore sequencing. Genome biology. 21(1). 125–125. 43 indexed citations

Blin, Marion, Benoît Le Tallec, Viola Nähse, et al.. (2018). Transcription-dependent regulation of replication dynamics modulates genome stability. Nature Structural & Molecular Biology. 26(1). 58–66. 59 indexed citations

Shah, Shiraz A., Niels Richard Hansen, Benoît Le Tallec, et al.. (2017). FANCD2 binding identifies conserved fragile sites at large transcribed genes in avian cells. Nucleic Acids Research. 46(3). 1280–1294. 41 indexed citations

Shimada, Midori, Atsuya Nishiyama, Yoshikazu Johmura, et al.. (2015). Loss of maintenance DNA methylation results in abnormal DNA origin firing during DNA replication. Biochemical and Biophysical Research Communications. 469(4). 960–966. 4 indexed citations

Tallec, Benoît Le, Stéphane Koundrioukoff, Therese Wilhelm, et al.. (2014). Updating the mechanisms of common fragile site instability: how to reconcile the different views?. Cellular and Molecular Life Sciences. 71(23). 4489–4494. 47 indexed citations

10.

Tallec, Benoît Le, Gaël A. Millot, Marion Blin, et al.. (2013). Common Fragile Site Profiling in Epithelial and Erythroid Cells Reveals that Most Recurrent Cancer Deletions Lie in Fragile Sites Hosting Large Genes. Cell Reports. 4(3). 420–428. 145 indexed citations

11.

Técher, Hervé, Stéphane Koundrioukoff, Therese Wilhelm, et al.. (2013). Replication Dynamics: Biases and Robustness of DNA Fiber Analysis. Journal of Molecular Biology. 425(23). 4845–4855. 103 indexed citations

12.

Tallec, Benoît Le & Anne Peyroche. (2012). Using DNA Damage Sensitivity Phenotypes to Characterize Mutations Affecting Proteasome Function. Methods in molecular biology. 832. 363–371. 7 indexed citations

13.

Barrault, Marie‐Bénédicte, Brice Murciano, Benoît Le Tallec, et al.. (2012). Dual functions of the Hsm3 protein in chaperoning and scaffolding regulatory particle subunits during the proteasome assembly. Proceedings of the National Academy of Sciences. 109(17). E1001–10. 50 indexed citations

14.

Debatisse, Michelle, Benoît Le Tallec, A Letessier, Bernard Dutrillaux, & Olivier Brison. (2011). Common fragile sites: mechanisms of instability revisited. Trends in Genetics. 28(1). 22–32. 201 indexed citations

15.

Tallec, Benoît Le, Bernard Dutrillaux, Anne-Marie Lachagès, et al.. (2011). Molecular profiling of common fragile sites in human fibroblasts. Nature Structural & Molecular Biology. 18(12). 1421–1423. 104 indexed citations

16.

Tallec, Benoît Le, et al.. (2009). Hsm3/S5b Participates in the Assembly Pathway of the 19S Regulatory Particle of the Proteasome. Molecular Cell. 33(3). 389–399. 94 indexed citations

17.

Tallec, Benoît Le, et al.. (2007). 20S Proteasome Assembly Is Orchestrated by Two Distinct Pairs of Chaperones in Yeast and in Mammals. Molecular Cell. 27(4). 660–674. 156 indexed citations

18.

Coureuil, Mathieu, Pierre Fouchet, Benoît Le Tallec, et al.. (2006). Caspase-independent death of meiotic and postmeiotic cells overexpressing p53: calpain involvement. Cell Death and Differentiation. 13(11). 1927–1937. 13 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