Alain Nepveu

6.2k total citations · 1 hit paper
94 papers, 5.3k citations indexed

About

Alain Nepveu is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Alain Nepveu has authored 94 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 16 papers in Oncology and 14 papers in Genetics. Recurrent topics in Alain Nepveu's work include Genomics and Chromatin Dynamics (31 papers), DNA Repair Mechanisms (20 papers) and RNA Research and Splicing (19 papers). Alain Nepveu is often cited by papers focused on Genomics and Chromatin Dynamics (31 papers), DNA Repair Mechanisms (20 papers) and RNA Research and Splicing (19 papers). Alain Nepveu collaborates with scholars based in Canada, United States and France. Alain Nepveu's co-authors include Kenneth B. Marcu, Ginette Bérubé, Laurent Sansregret, Charles Vadnais, Lam Leduy, Brigitte Goulet, Daniel Dufort, Ryoko Harada, Takeshi Yoshikawa and Masao Omata and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Alain Nepveu

92 papers receiving 5.2k citations

Hit Papers

Correction: Corrigendum: ... 2012 2026 2016 2021 2012 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alain Nepveu Canada 40 3.3k 845 736 709 445 94 5.3k
Daniel Aberdam France 47 3.7k 1.1× 1.0k 1.2× 605 0.8× 850 1.2× 374 0.8× 155 6.9k
Toshihiko Ogura Japan 47 5.3k 1.6× 513 0.6× 885 1.2× 555 0.8× 359 0.8× 186 7.8k
Sergey Leikin United States 47 3.2k 1.0× 560 0.7× 1.8k 2.4× 429 0.6× 229 0.5× 103 6.9k
Martín Baron United Kingdom 40 3.0k 0.9× 457 0.5× 493 0.7× 401 0.6× 533 1.2× 74 5.7k
Anton K. Raap Netherlands 51 5.4k 1.7× 703 0.8× 2.3k 3.1× 740 1.0× 444 1.0× 193 9.2k
Akira Nakamura Japan 48 4.5k 1.4× 384 0.5× 992 1.3× 692 1.0× 1.9k 4.2× 259 8.5k
Moriaki Kusakabe Japan 36 2.3k 0.7× 587 0.7× 612 0.8× 468 0.7× 404 0.9× 156 5.1k
Y. Hamada Japan 43 3.4k 1.0× 288 0.3× 478 0.6× 452 0.6× 803 1.8× 195 7.0k
Anindita Basu United States 17 4.3k 1.3× 1.1k 1.3× 293 0.4× 542 0.8× 1.0k 2.3× 39 6.2k
Ben N. G. Giepmans Netherlands 45 6.2k 1.9× 434 0.5× 864 1.2× 461 0.7× 434 1.0× 105 9.8k

Countries citing papers authored by Alain Nepveu

Since Specialization
Citations

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

Fields of papers citing papers by Alain Nepveu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alain Nepveu

This figure shows the co-authorship network connecting the top 25 collaborators of Alain Nepveu. A scholar is included among the top collaborators of Alain Nepveu 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 Alain Nepveu. Alain Nepveu 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.
Fortier, Anne-Marie, Zubaidah M. Ramdzan, Shen Gu, et al.. (2025). The function of MYC in base excision repair protects against RAS-induced senescence. Nucleic Acids Research. 53(14).
2.
Nepveu, Alain, et al.. (2022). Base excision repair accessory factors in senescence avoidance and resistance to treatments. Cancer Drug Resistance. 5(3). 703–20. 8 indexed citations
3.
Ramdzan, Zubaidah M., Charles Vadnais, Ranjana Pal, et al.. (2014). RAS Transformation Requires CUX1-Dependent Repair of Oxidative DNA Damage. PLoS Biology. 12(3). e1001807–e1001807. 53 indexed citations
4.
Ramdzan, Zubaidah M. & Alain Nepveu. (2014). CUX1, a haploinsufficient tumour suppressor gene overexpressed in advanced cancers. Nature reviews. Cancer. 14(10). 673–682. 84 indexed citations
5.
Vadnais, Charles, Ryoko Harada, Pier‐Luc Clermont, et al.. (2013). Long-range transcriptional regulation by the p110 CUX1 homeodomain protein on theENCODE array. BMC Genomics. 14(1). 258–258. 23 indexed citations
6.
Vadnais, Charles, et al.. (2012). CUX1 transcription factor is required for optimal ATM/ATR-mediated responses to DNA damage. Nucleic Acids Research. 40(10). 4483–4495. 42 indexed citations
7.
Sansregret, Laurent, David Gallo, Marianne Santaguida, et al.. (2010). Hyperphosphorylation by Cyclin B/CDK1 in Mitosis Resets CUX1 DNA Binding Clock at Each Cell Cycle*. Journal of Biological Chemistry. 285(43). 32834–32843. 14 indexed citations
8.
Kedinger, Valérie, et al.. (2009). Mouse Mammary Tumor Virus p75 and p110 CUX1 Transgenic Mice Develop Mammary Tumors of Various Histologic Types. Cancer Research. 69(18). 7188–7197. 36 indexed citations
9.
Harada, Ryoko, Marilène Paquet, Olivier Côté, et al.. (2008). Polycystic Kidneys Caused by Sustained Expression of Cux1 Isoform p75. Journal of Biological Chemistry. 283(20). 13817–13824. 23 indexed citations
10.
Wilson, Brian J., Ryoko Harada, Lam Leduy, Morley D. Hollenberg, & Alain Nepveu. (2008). CUX1 Transcription Factor Is a Downstream Effector of the Proteinase-activated Receptor 2 (PAR2). Journal of Biological Chemistry. 284(1). 36–45. 11 indexed citations
11.
12.
Gingras, Hélène, Olivier Cases, Maria M. Krasilnikova, Ginette Bérubé, & Alain Nepveu. (2004). Biochemical characterization of the mammalian Cux2 protein. Gene. 344. 273–285. 34 indexed citations
13.
Truscott, Mary, Lelia C. Raynal, Brigitte Goulet, et al.. (2003). CDP/Cux Stimulates Transcription from the DNA Polymerase α Gene Promoter. Molecular and Cellular Biology. 23(8). 3013–3028. 59 indexed citations
14.
Bérubé, Ginette, et al.. (2003). Development of an in Vitro Assay for the Proteolytic Processing of the CDP/Cux Transcription Factor. BMB Reports. 36(4). 390–398. 3 indexed citations
15.
Moon, Nam Sung, et al.. (2002). Expression of N‐terminally truncated isoforms of CDP/CUX is increased in human uterine leiomyomas. International Journal of Cancer. 100(4). 429–432. 32 indexed citations
16.
Mailly, F., et al.. (1996). The Human Cut Homeodomain Protein Can Repress Gene Expression by Two Distinct Mechanisms: Active Repression and Competition for Binding Site Occupancy. Molecular and Cellular Biology. 16(10). 5346–5357. 112 indexed citations
17.
Coqueret, Olivier, Ginette Bérubé, & Alain Nepveu. (1996). DNA Binding by Cut Homeodomain Proteins Is Down-modulated by Protein Kinase C. Journal of Biological Chemistry. 271(40). 24862–24868. 62 indexed citations
18.
Harada, Ryoko, et al.. (1995). DNA-Binding Specificity of the Cut Repeats from the Human Cut-Like Protein. Molecular and Cellular Biology. 15(1). 129–140. 104 indexed citations
19.
Asselin, Claude, et al.. (1989). Molecular requirements for transcriptional initiation of the murine c-myc gene.. PubMed. 4(5). 549–58. 71 indexed citations
20.
Nepveu, Alain & Kenneth B. Marcu. (1986). Intragenic pausing and anti-sense transcription within the murine c-myc locus.. The EMBO Journal. 5(11). 2859–2865. 292 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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