Benoît Miotto

4.2k total citations
29 papers, 1.0k citations indexed

About

Benoît Miotto is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Benoît Miotto has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Benoît Miotto's work include Epigenetics and DNA Methylation (17 papers), Genomics and Chromatin Dynamics (12 papers) and DNA Repair Mechanisms (10 papers). Benoît Miotto is often cited by papers focused on Epigenetics and DNA Methylation (17 papers), Genomics and Chromatin Dynamics (12 papers) and DNA Repair Mechanisms (10 papers). Benoît Miotto collaborates with scholars based in France, United States and United Kingdom. Benoît Miotto's co-authors include Kevin Struhl, Zhe Ji, Claire Marchal, Yacine Graba, Pierre‐Antoine Defossez, Hélène Bérenger, Jacques Pradel, Dirk Bohmann, Ping Xie and Lingqiang Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Genes & Development.

In The Last Decade

Benoît Miotto

28 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Miotto France 15 888 125 95 80 80 29 1.0k
Justin S. Becker United States 11 975 1.1× 102 0.8× 59 0.6× 70 0.9× 112 1.4× 12 1.2k
Takeya Nakagawa Japan 12 710 0.8× 97 0.8× 66 0.7× 52 0.7× 46 0.6× 22 790
Evangelia Koutelou United States 14 665 0.7× 68 0.5× 103 1.1× 63 0.8× 60 0.8× 16 767
Naohiro Hori Japan 13 634 0.7× 171 1.4× 54 0.6× 70 0.9× 68 0.8× 29 836
Sonia Jimeno Spain 20 1.4k 1.6× 101 0.8× 150 1.6× 108 1.4× 116 1.4× 30 1.5k
Christopher L. Sansam United States 12 822 0.9× 85 0.7× 100 1.1× 68 0.8× 138 1.7× 17 918
Elisabeth Simboeck Austria 9 775 0.9× 102 0.8× 82 0.9× 69 0.9× 44 0.6× 11 872
Tangliang Li China 14 488 0.5× 168 1.3× 101 1.1× 58 0.7× 51 0.6× 28 696
Johannes Popow Austria 11 1.0k 1.2× 88 0.7× 70 0.7× 85 1.1× 134 1.7× 14 1.2k
Tomoyoshi Nakadai Japan 16 778 0.9× 101 0.8× 85 0.9× 112 1.4× 37 0.5× 36 939

Countries citing papers authored by Benoît Miotto

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Miotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Miotto

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Miotto. A scholar is included among the top collaborators of Benoît Miotto 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 Miotto. Benoît Miotto 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.
Akram, D. S., et al.. (2024). Circulating miR-16-5p, miR-92a-3p and miR-451a are biomarkers of lung cancer in Tunisian patients. BMC Cancer. 24(1). 1 indexed citations
2.
Cadoret, Jean‐Charles, A Letessier, Jihane Basbous, et al.. (2023). The nucleolar protein GNL3 prevents resection of stalled replication forks. EMBO Reports. 24(12). e57585–e57585. 2 indexed citations
3.
Miotto, Benoît, Claude Saint‐Ruf, Viviana Barra, et al.. (2021). FANCD2 modulates the mitochondrial stress response to prevent common fragile site instability. Communications Biology. 4(1). 127–127. 16 indexed citations
4.
Dieuleveult, Maud de, et al.. (2020). Assessing the consequences of environmental exposures on the expression of the human receptor and proteases involved in SARS-CoV-2 cell-entry. Environmental Research. 195. 110317–110317. 9 indexed citations
5.
Marchal, Claire, Maud de Dieuleveult, Claude Saint‐Ruf, et al.. (2018). Depletion of ZBTB38 potentiates the effects of DNA demethylating agents in cancer cells via CDKN1C mRNA up-regulation. Oncogenesis. 7(10). 82–82. 12 indexed citations
6.
Miotto, Benoît, Claire Marchal, Guillaume Adelmant, et al.. (2018). Stabilization of the methyl-CpG binding protein ZBTB38 by the deubiquitinase USP9X limits the occurrence and toxicity of oxidative stress in human cells. Nucleic Acids Research. 46(9). 4392–4404. 23 indexed citations
7.
Miotto, Benoît. (2017). Comment l’approche génomique aide à comprendre le processus d’initiation de la réplication. médecine/sciences. 33(2). 143–150. 3 indexed citations
8.
Miotto, Benoît, Zhe Ji, & Kevin Struhl. (2016). Selectivity of ORC binding sites and the relation to replication timing, fragile sites, and deletions in cancers. Proceedings of the National Academy of Sciences. 113(33). E4810–9. 132 indexed citations
9.
Benatti, Paolo, Silvia Belluti, Benoît Miotto, et al.. (2015). Direct non transcriptional role of NF-Y in DNA replication. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1863(4). 673–685. 13 indexed citations
10.
Marchal, Claire & Benoît Miotto. (2014). Emerging Concept in DNA Methylation: Role of Transcription Factors in Shaping DNA Methylation Patterns. Journal of Cellular Physiology. 230(4). 743–751. 47 indexed citations
11.
Miotto, Benoît, Hang Gyeong Chin, Pierre‐Olivier Estève, et al.. (2014). MBD4 cooperates with DNMT1 to mediate methyl-DNA repression and protects mammalian cells from oxidative stress. Epigenetics. 9(4). 546–556. 42 indexed citations
12.
Miotto, Benoît, Ping Xie, Stéphane Koundrioukoff, et al.. (2014). The RBBP6/ZBTB38/MCM10 Axis Regulates DNA Replication and Common Fragile Site Stability. Cell Reports. 7(2). 575–587. 56 indexed citations
13.
Hainaut, Matthieu, et al.. (2012). The MYST-Containing Protein Chameau Is Required for Proper Sensory Organ Specification during Drosophila Thorax Morphogenesis. PLoS ONE. 7(3). e32882–e32882. 5 indexed citations
14.
Miotto, Benoît & Kevin Struhl. (2011). JNK1 Phosphorylation of Cdt1 Inhibits Recruitment of HBO1 Histone Acetylase and Blocks Replication Licensing in Response to Stress. Molecular Cell. 44(1). 62–71. 35 indexed citations
15.
Miotto, Benoît & Kevin Struhl. (2010). HBO1 Histone Acetylase Activity Is Essential for DNA Replication Licensing and Inhibited by Geminin. Molecular Cell. 37(1). 57–66. 195 indexed citations
16.
Miotto, Benoît, et al.. (2010). Mammalian methyl‐binding proteins: What might they do?. BioEssays. 32(12). 1025–1032. 16 indexed citations
17.
Miotto, Benoît & Yacine Graba. (2010). Control of DNA replication: A new facet of Hox proteins?. BioEssays. 32(9). 800–807. 14 indexed citations
18.
Miotto, Benoît & Kevin Struhl. (2008). HBO1 histone acetylase is a coactivator of the replication licensing factor Cdt1. Genes & Development. 22(19). 2633–2638. 139 indexed citations
19.
Miotto, Benoît & Kevin Struhl. (2007). De la régulation du génome à la progression tumorale. médecine/sciences. 23(8-9). 735–740. 6 indexed citations
20.
Miotto, Benoît, Giacomo Cavalli, Vincent Géli, et al.. (2002). The MYST Domain Acetyltransferase Chameau Functions in Epigenetic Mechanisms of Transcriptional Repression. Current Biology. 12(9). 762–766. 66 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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