Armelle Lengronne

2.9k total citations
26 papers, 2.2k citations indexed

About

Armelle Lengronne is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Armelle Lengronne has authored 26 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Genetics. Recurrent topics in Armelle Lengronne's work include DNA Repair Mechanisms (23 papers), Genomics and Chromatin Dynamics (18 papers) and Fungal and yeast genetics research (8 papers). Armelle Lengronne is often cited by papers focused on DNA Repair Mechanisms (23 papers), Genomics and Chromatin Dynamics (18 papers) and Fungal and yeast genetics research (8 papers). Armelle Lengronne collaborates with scholars based in France, United Kingdom and United States. Armelle Lengronne's co-authors include Philippe Pasero, Frank Uhlmann, Étienne Schwob, Katsuhiko Shirahige, Yuki Katou, Gavin Kelly, Takehiko Itoh, Shihori Yokobayashi, Yoshinori Watanabe and Saori Mori and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Armelle Lengronne

25 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Armelle Lengronne France 20 2.2k 458 371 214 168 26 2.2k
Toyoaki Natsume Japan 21 1.4k 0.7× 339 0.7× 213 0.6× 132 0.6× 196 1.2× 29 1.6k
Olivier Cuvier France 24 1.7k 0.8× 147 0.3× 442 1.2× 200 0.9× 158 0.9× 39 1.8k
Valeria Naim France 16 1.1k 0.5× 451 1.0× 144 0.4× 210 1.0× 199 1.2× 21 1.3k
Dirk Remus United States 17 1.7k 0.8× 323 0.7× 136 0.4× 345 1.6× 169 1.0× 31 1.8k
Rodrigo Bermejo Italy 19 2.2k 1.0× 413 0.9× 272 0.7× 222 1.0× 431 2.6× 27 2.3k
Daniela S. Dimitrova United States 15 2.0k 0.9× 278 0.6× 234 0.6× 269 1.3× 234 1.4× 22 2.1k
Cecilia Cotta‐Ramusino United States 11 1.9k 0.9× 408 0.9× 195 0.5× 244 1.1× 387 2.3× 16 2.0k
Vladimir P. Bermudez United States 21 1.9k 0.9× 328 0.7× 165 0.4× 207 1.0× 475 2.8× 29 2.0k
Joachim J. Li United States 18 1.8k 0.8× 594 1.3× 247 0.7× 263 1.2× 362 2.2× 21 1.9k
Hélène Tourrière France 14 1.5k 0.7× 246 0.5× 103 0.3× 169 0.8× 205 1.2× 16 1.6k

Countries citing papers authored by Armelle Lengronne

Since Specialization
Citations

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

Fields of papers citing papers by Armelle Lengronne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Armelle Lengronne

This figure shows the co-authorship network connecting the top 25 collaborators of Armelle Lengronne. A scholar is included among the top collaborators of Armelle Lengronne 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 Armelle Lengronne. Armelle Lengronne 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.
Chapard, Christophe, Axel Cournac, Sophie Queillé, et al.. (2025). RNA Pol II-based regulations of chromosome folding. Cell Genomics. 5(10). 100970–100970. 1 indexed citations
2.
Lin, Yea‐Lih, et al.. (2023). Impact of R-loops on oncogene-induced replication stress in cancer cells. Comptes Rendus Biologies. 346(G2). 95–105. 1 indexed citations
3.
Barthe, Antoine, Domenico Libri, Yea‐Lih Lin, et al.. (2023). RNase H2 degrades toxic RNA : DNA hybrids behind stalled forks to promote replication restart. The EMBO Journal. 42(23). e113104–e113104. 12 indexed citations
4.
Challal, Drice, et al.. (2022). Sen1 is a key regulator of transcription-driven conflicts. Molecular Cell. 82(16). 2952–2966.e6. 29 indexed citations
5.
Poli, Jérôme, et al.. (2021). Toxic R-loops: Cause or consequence of replication stress?. DNA repair. 107. 103199–103199. 22 indexed citations
6.
7.
Forey, Romain, Ana Poveda, Sushma Sharma, et al.. (2020). Mec1 Is Activated at the Onset of Normal S Phase by Low-dNTP Pools Impeding DNA Replication. Molecular Cell. 78(3). 396–410.e4. 47 indexed citations
8.
Barthe, Antoine, Pierre Luciano, Romain Forey, et al.. (2019). MRX Increases Chromatin Accessibility at Stalled Replication Forks to Promote Nascent DNA Resection and Cohesin Loading. Molecular Cell. 77(2). 395–410.e3. 48 indexed citations
9.
Tourrière, Hélène, Julie Saksouk, Armelle Lengronne, & Philippe Pasero. (2017). Single-molecule Analysis of DNA Replication Dynamics in Budding Yeast and Human Cells by DNA Combing. BIO-PROTOCOL. 7(11). e2305–e2305. 8 indexed citations
10.
Lengronne, Armelle, Romain Forey, Magdalena Skrzypczak, et al.. (2017). Dbf4 recruitment by forkhead transcription factors defines an upstream rate-limiting step in determining origin firing timing. Genes & Development. 31(23-24). 2405–2415. 43 indexed citations
11.
Samora, Catarina P., Julie Saksouk, Panchali Goswami, et al.. (2016). Ctf4 Links DNA Replication with Sister Chromatid Cohesion Establishment by Recruiting the Chl1 Helicase to the Replisome. Molecular Cell. 63(3). 371–384. 100 indexed citations
12.
Menolfi, Demis, et al.. (2015). Essential Roles of the Smc5/6 Complex in Replication through Natural Pausing Sites and Endogenous DNA Damage Tolerance. Molecular Cell. 60(6). 835–846. 87 indexed citations
13.
Yoshida, Kazumasa, Julien Bacal, Ismaël Padioleau, et al.. (2014). The Histone Deacetylases Sir2 and Rpd3 Act on Ribosomal DNA to Control the Replication Program in Budding Yeast. Molecular Cell. 54(4). 691–697. 76 indexed citations
14.
Tittel-Elmer, Mireille, Armelle Lengronne, Marta Davidson, et al.. (2012). Cohesin Association to Replication Sites Depends on Rad50 and Promotes Fork Restart. Molecular Cell. 48(1). 98–108. 100 indexed citations
15.
Poli, Jérôme, Julie Saksouk, Julien Bacal, et al.. (2012). Analysis of DNA replication profiles in budding yeast and mammalian cells using DNA combing. Methods. 57(2). 149–157. 83 indexed citations
16.
Poli, Jérôme, Olga Tsaponina, Laure Crabbé, et al.. (2012). dNTP pools determine fork progression and origin usage under replication stress. The EMBO Journal. 31(4). 883–894. 216 indexed citations
17.
Lengronne, Armelle, John B. McIntyre, Yuki Katou, et al.. (2006). Establishment of Sister Chromatid Cohesion at the S. cerevisiae Replication Fork. Molecular Cell. 23(6). 787–799. 239 indexed citations
18.
Lengronne, Armelle, Yuki Katou, Saori Mori, et al.. (2004). Cohesin relocation from sites of chromosomal loading to places of convergent transcription. Nature. 430(6999). 573–578. 450 indexed citations
19.
Lengronne, Armelle & Étienne Schwob. (2002). The Yeast CDK Inhibitor Sic1 Prevents Genomic Instability by Promoting Replication Origin Licensing in Late G1. Molecular Cell. 9(5). 1067–1078. 205 indexed citations
20.
Germain, Stéphane, Josette Philippe, Sébastien Fuchs, et al.. (1997). Regulation of human renin secretion and gene transcription in Calu‐6 cells. FEBS Letters. 407(2). 177–183. 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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