Gaël Yvert

5.6k total citations · 3 hit papers
36 papers, 4.0k citations indexed

About

Gaël Yvert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Gaël Yvert has authored 36 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 8 papers in Genetics. Recurrent topics in Gaël Yvert's work include Genetic Neurodegenerative Diseases (10 papers), Fungal and yeast genetics research (10 papers) and Mitochondrial Function and Pathology (9 papers). Gaël Yvert is often cited by papers focused on Genetic Neurodegenerative Diseases (10 papers), Fungal and yeast genetics research (10 papers) and Mitochondrial Function and Pathology (9 papers). Gaël Yvert collaborates with scholars based in France, United States and Germany. Gaël Yvert's co-authors include Leonid Kruglyak, Rachel B. Brem, Jean‐Louis Mandel, C. R. Weber, Georges Imbert, Alexis Brice, Nacer Abbas, Géraldine Cancel‐Tassin, Giovanni Stévanin and Alexandra Dürr and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Gaël Yvert

36 papers receiving 3.9k citations

Hit Papers

Genetic Dissection of Transcriptional Regulation in Buddi... 1996 2026 2006 2016 2002 1996 1997 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
Gaël Yvert France 21 3.3k 1.5k 1.2k 503 451 36 4.0k
Barbara L. Apostol United States 16 1.8k 0.6× 1.2k 0.8× 323 0.3× 339 0.7× 183 0.4× 19 2.5k
Céline Keime France 28 2.1k 0.6× 190 0.1× 372 0.3× 108 0.2× 282 0.6× 71 3.1k
Cheng‐Ting Chien Taiwan 30 3.0k 0.9× 617 0.4× 420 0.4× 220 0.4× 449 1.0× 70 3.9k
Dan Garza United States 28 2.8k 0.9× 681 0.5× 419 0.4× 330 0.7× 362 0.8× 47 4.2k
Dean P. Smith United States 33 1.9k 0.6× 3.3k 2.3× 1.7k 1.4× 54 0.1× 441 1.0× 70 5.2k
Lynne Chantranupong United States 21 4.2k 1.3× 288 0.2× 466 0.4× 66 0.1× 229 0.5× 26 5.8k
Joshua S. Kaminker United States 27 2.7k 0.8× 603 0.4× 401 0.3× 191 0.4× 564 1.3× 36 4.3k
Tommy Kaplan Israel 29 3.6k 1.1× 142 0.1× 504 0.4× 37 0.1× 638 1.4× 56 4.3k
Robert S. Lahue United States 28 3.8k 1.1× 810 0.6× 725 0.6× 41 0.1× 318 0.7× 53 4.2k

Countries citing papers authored by Gaël Yvert

Since Specialization
Citations

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

Fields of papers citing papers by Gaël Yvert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaël Yvert

This figure shows the co-authorship network connecting the top 25 collaborators of Gaël Yvert. A scholar is included among the top collaborators of Gaël Yvert 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 Gaël Yvert. Gaël Yvert 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.
Spichty, Martin, Gérard Triqueneaux, Christophe Place, et al.. (2021). A single-chain and fast-responding light-inducible Cre recombinase as a novel optogenetic switch. eLife. 10. 24 indexed citations
2.
Robert, Valérie, Andreas Rechtsteiner, Steve Garvis, et al.. (2020). Caenorhabditis elegans SET1/COMPASS Maintains Germline Identity by Preventing Transcriptional Deregulation Across Generations. Frontiers in Cell and Developmental Biology. 8. 561791–561791. 8 indexed citations
3.
Triqueneaux, Gérard, et al.. (2020). Cell-to-cell expression dispersion of B-cell surface proteins is linked to genetic variants in humans. Communications Biology. 3(1). 346–346. 2 indexed citations
4.
Richard, Magali, et al.. (2018). Genomics of cellular proliferation in periodic environmental fluctuations. Molecular Systems Biology. 14(3). e7823–e7823. 9 indexed citations
5.
Chuffart, Florent, et al.. (2015). The complex pattern of epigenomic variation between natural yeast strains at single-nucleosome resolution. Epigenetics & Chromatin. 8(1). 26–26. 6 indexed citations
6.
Vanoosthuyse, Vincent, Pénélope Legros, Gaël Yvert, et al.. (2014). CPF-Associated Phosphatase Activity Opposes Condensin-Mediated Chromosome Condensation. PLoS Genetics. 10(6). e1004415–e1004415. 44 indexed citations
7.
Richard, Magali & Gaël Yvert. (2014). How does evolution tune biological noise?. Frontiers in Genetics. 5. 374–374. 31 indexed citations
8.
Yvert, Gaël, Shinsuke Ohnuki, Satoru Nogami, et al.. (2013). Single-cell phenomics reveals intra-species variation of phenotypic noise in yeast. BMC Systems Biology. 7(1). 54–54. 53 indexed citations
9.
Yvert, Gaël. (2013). ‘Particle genetics’: treating every cell as unique. Trends in Genetics. 30(2). 49–56. 12 indexed citations
10.
Kleinschmitt, Christoph, et al.. (2012). Monitoring single-cell bioenergetics via the coarsening of emulsion droplets. Proceedings of the National Academy of Sciences. 109(19). 7181–7186. 72 indexed citations
11.
Abraham, Anne‐Laure, et al.. (2012). Genetic Modifiers of Chromatin Acetylation Antagonize the Reprogramming of Epi-Polymorphisms. PLoS Genetics. 8(9). e1002958–e1002958. 3 indexed citations
12.
Marullo, Philippe, Gaël Yvert, Marina Bely, Michel Aigle, & Denis Dubourdieu. (2007). Efficient use of DNA molecular markers to construct industrial yeast strains. FEMS Yeast Research. 7(8). 1295–1306. 18 indexed citations
13.
Marullo, Philippe, Michel Aigle, Marina Bely, et al.. (2007). Single QTL mapping and nucleotide-level resolution of a physiologic trait in wineSaccharomyces cerevisiaestrains. FEMS Yeast Research. 7(6). 941–952. 78 indexed citations
14.
Ronald, James, Joshua M. Akey, Jacqueline Whittle, et al.. (2005). Simultaneous genotyping, gene-expression measurement, and detection of allele-specific expression with oligonucleotide arrays. Genome Research. 15(2). 284–291. 98 indexed citations
15.
Helmlinger, Dominique, Gaël Yvert, Stéphane Rousseau, et al.. (2004). Disease Progression Despite Early Loss of Polyglutamine Protein Expression in SCA7 Mouse Model. Journal of Neuroscience. 24(8). 1881–1887. 30 indexed citations
16.
Brem, Rachel B., et al.. (2002). Genetic Dissection of Transcriptional Regulation in Budding Yeast. Science. 296(5568). 752–755. 1032 indexed citations breakdown →
17.
Yvert, Gaël. (2001). SCA7 mouse models show selective stabilization of mutant ataxin-7 and similar cellular responses in different neuronal cell types. Human Molecular Genetics. 10(16). 1679–1692. 77 indexed citations
18.
Yvert, Gaël. (2000). Expanded polyglutamines induce neurodegeneration and trans-neuronal alterations in cerebellum and retina of SCA7 transgenic mice. Human Molecular Genetics. 9(17). 2491–2506. 131 indexed citations
20.
Imbert, Georges, Frédéric Saudou, Gaël Yvert, et al.. (1996). Cloning of the gene for spinocerebellar ataxia 2 reveals a locus with high sensitivity to expanded CAG/glutamine repeats. Nature Genetics. 14(3). 285–291. 706 indexed citations breakdown →

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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