Claude Beaudoin

1.8k total citations
39 papers, 1.5k citations indexed

About

Claude Beaudoin is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Claude Beaudoin has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 14 papers in Oncology and 10 papers in Genetics. Recurrent topics in Claude Beaudoin's work include Drug Transport and Resistance Mechanisms (10 papers), Sperm and Testicular Function (9 papers) and Cholesterol and Lipid Metabolism (6 papers). Claude Beaudoin is often cited by papers focused on Drug Transport and Resistance Mechanisms (10 papers), Sperm and Testicular Function (9 papers) and Cholesterol and Lipid Metabolism (6 papers). Claude Beaudoin collaborates with scholars based in France, Belgium and United Kingdom. Claude Beaudoin's co-authors include Laurent Morel, M. Manin, David H. Volle, Silvère Baron, Arnaud Gautier, Aurélien Chevry, Marie‐Laure Teyssot, Anne‐Sophie Jarrousse, G. Veyssière and Damien Boyer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Claude Beaudoin

37 papers receiving 1.4k citations

Peers

Claude Beaudoin
Christopher R. Smith United Kingdom
Simon P. Newman United Kingdom
Dong‐Jin Hwang United States
James M. Frincke United States
Ruth A. Henderson United States
Claude Beaudoin
Citations per year, relative to Claude Beaudoin Claude Beaudoin (= 1×) peers Laurent Morel

Countries citing papers authored by Claude Beaudoin

Since Specialization
Citations

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

Fields of papers citing papers by Claude Beaudoin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claude Beaudoin

This figure shows the co-authorship network connecting the top 25 collaborators of Claude Beaudoin. A scholar is included among the top collaborators of Claude Beaudoin 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 Claude Beaudoin. Claude Beaudoin 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.
Martinot, Emmanuelle, Hélène Holota, Angélique De Haze, Claude Beaudoin, & David H. Volle. (2025). The Pregnane-X receptor regulates steroid synthesis in mouse Leydig cells. Frontiers in Endocrinology. 15. 1430781–1430781.
2.
Holota, Hélène, et al.. (2024). Alternative splicing is an FXRα loss-of-function mechanism and impacts energy metabolism in hepatocarcinoma cells. Journal of Biological Chemistry. 301(1). 108022–108022.
3.
Sauzéat, Lucie, Julia Eychenne, Lucia Gurioli, et al.. (2022). Metallome deregulation and health-related impacts due to long-term exposure to recent volcanic ash deposits: New chemical and isotopic insights. The Science of The Total Environment. 829. 154383–154383. 5 indexed citations
4.
Beaudoin, Claude, et al.. (2021). Drosophila Accessory Gland: A Complementary In Vivo Model to Bring New Insight to Prostate Cancer. Cells. 10(9). 2387–2387. 3 indexed citations
5.
Holota, Hélène, et al.. (2020). FXRα modulates leydig cell endocrine function in mouse. Molecular and Cellular Endocrinology. 518. 110995–110995. 6 indexed citations
6.
Lethimonier, Christèle, Hélène Holota, Laurianne Lesné, et al.. (2018). Crosstalk between BPA and FXRα Signaling Pathways Lead to Alterations of Undifferentiated Germ Cell Homeostasis and Male Fertility Disorders. Stem Cell Reports. 11(4). 944–958. 14 indexed citations
7.
Baptissart, Marine, Hélène Holota, Emmanuelle Martinot, et al.. (2018). Multigenerational impacts of bile exposure are mediated by TGR5 signaling pathways. Scientific Reports. 8(1). 16875–16875. 16 indexed citations
8.
Carnesecchi, Julie, Christelle Forcet, Ling Zhang, et al.. (2017). ERRα induces H3K9 demethylation by LSD1 to promote cell invasion. Proceedings of the National Academy of Sciences. 114(15). 3909–3914. 74 indexed citations
9.
Martinot, Emmanuelle, Marine Baptissart, Hélène Holota, et al.. (2017). The Bile Acid Nuclear Receptor FXRα Is a Critical Regulator of Mouse Germ Cell Fate. Stem Cell Reports. 9(1). 315–328. 19 indexed citations
10.
Beaudoin, Claude, et al.. (2016). Lipid Homeostasis and Ligands for Liver X Receptors: Identification and Characterization. Methods in molecular biology. 1443. 13–19. 4 indexed citations
11.
Beaudoin, Claude, et al.. (2014). NPM1 Silencing Reduces Tumour Growth and MAPK Signalling in Prostate Cancer Cells. PLoS ONE. 9(5). e96293–e96293. 24 indexed citations
12.
Gaillard, Claire, Pierre Adumeau, Jean‐Louis Canet, et al.. (2013). Monodisperse silica nanoparticles doped with dipicolinic acid-based luminescent lanthanide(iii) complexes for bio-labelling. Journal of Materials Chemistry B. 1(34). 4306–4306. 25 indexed citations
13.
Teyssot, Marie‐Laure, Anne‐Sophie Jarrousse, M. Manin, et al.. (2009). Metal-NHC complexes: a survey of anti-cancer properties. Dalton Transactions. 6894–6894. 334 indexed citations
14.
Teyssot, Marie‐Laure, Anne‐Sophie Jarrousse, Aurélien Chevry, et al.. (2008). Toxicity of Copper(I)–NHC Complexes Against Human Tumor Cells: Induction of Cell Cycle Arrest, Apoptosis, and DNA Cleavage. Chemistry - A European Journal. 15(2). 314–318. 92 indexed citations
15.
Léotoing, Laurent, M. Manin, Didier Monté, et al.. (2007). Crosstalk between androgen receptor and epidermal growth factor receptor-signalling pathways: a molecular switch for epithelial cell differentiation. Journal of Molecular Endocrinology. 39(2). 151–162. 40 indexed citations
16.
Baert, J.-L., et al.. (2006). The 26S proteasome system degrades the ERM transcription factor and regulates its transcription-enhancing activity. Oncogene. 26(3). 415–424. 18 indexed citations
17.
Degerny, Cindy, Didier Monté, Claude Beaudoin, et al.. (2005). SUMO Modification of the Ets-related Transcription Factor ERM Inhibits Its Transcriptional Activity. Journal of Biological Chemistry. 280(26). 24330–24338. 42 indexed citations
18.
Baron, Silvère, M. Manin, Claude Beaudoin, et al.. (2004). Androgen Receptor Mediates Non-genomic Activation of Phosphatidylinositol 3-OH Kinase in Androgen-sensitive Epithelial Cells. Journal of Biological Chemistry. 279(15). 14579–14586. 142 indexed citations
19.
Launoit, Yvan de, Anne Chotteau‐Lelièvre, Claude Beaudoin, et al.. (2002). The PEA3 Group of ETS-related Transcription Factors. Advances in experimental medicine and biology. 480. 107–116. 62 indexed citations
20.
Baert, Jean‐Luc, Claude Beaudoin, Laurent Coutte, & Yvan de Launoit. (2002). ERM Transactivation Is Up-regulated by the Repression of DNA Binding after the PKA Phosphorylation of a Consensus Site at the Edge of the ETS Domain. Journal of Biological Chemistry. 277(2). 1002–1012. 32 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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