Vincent Laville

563 total citations
22 papers, 231 citations indexed

About

Vincent Laville is a scholar working on Genetics, Molecular Biology and Dermatology. According to data from OpenAlex, Vincent Laville has authored 22 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 12 papers in Molecular Biology and 3 papers in Dermatology. Recurrent topics in Vincent Laville's work include Genetic Associations and Epidemiology (8 papers), Bioinformatics and Genomic Networks (5 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). Vincent Laville is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Bioinformatics and Genomic Networks (5 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). Vincent Laville collaborates with scholars based in France, United States and Austria. Vincent Laville's co-authors include Hugues Aschard, Jean‐François Zagury, Taoufik Labib, Matthieu Montès, Nathalie Lagarde, Ramnik J. Xavier, Sigrid Le Clerc, Floris Imhann, David Skurnik and Cédric Coulonges and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Vincent Laville

22 papers receiving 230 citations

Peers

Vincent Laville
J. H. Stoltz United States
Vincent Laville
Citations per year, relative to Vincent Laville Vincent Laville (= 1×) peers J. H. Stoltz

Countries citing papers authored by Vincent Laville

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Laville

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Laville

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Laville. A scholar is included among the top collaborators of Vincent Laville 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 Vincent Laville. Vincent Laville 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.
Girolamo, Daniela Di, Brendan Evano, Vincent Laville, et al.. (2024). Extraocular muscle stem cells exhibit distinct cellular properties associated with non-muscle molecular signatures. Development. 151(4). 2 indexed citations
2.
Staels, Willem, et al.. (2024). Comprehensive alpha, beta, and delta cell transcriptomics reveal an association of cellular aging with MHC class I upregulation. Molecular Metabolism. 87. 101990–101990. 3 indexed citations
3.
Houzelstein, Denis, Caroline Eozénou, Carlos F. Lagos, et al.. (2024). A conserved NR5A1-responsive enhancer regulates SRY in testis-determination. Nature Communications. 15(1). 2796–2796. 1 indexed citations
4.
Vandormael‐Pournin, Sandrine, et al.. (2024). PI3K/AKT signaling controls ICM maturation and proper epiblast and primitive endoderm specification in mice. Developmental Cell. 60(2). 204–219.e6. 4 indexed citations
5.
Laville, Vincent, Timothy D. Majarian, Yan V. Sun, et al.. (2022). Gene-lifestyle interactions in the genomics of human complex traits. European Journal of Human Genetics. 30(6). 730–739. 15 indexed citations
6.
Laville, Vincent, Jean‐Louis Spadoni, Leopold Eckhart, et al.. (2022). Identification of New Biological Pathways Involved in Skin Aging From the Analysis of French Women Genome-Wide Data. Frontiers in Genetics. 13. 836581–836581. 4 indexed citations
7.
Majarian, Timothy D., Amy R. Bentley, Vincent Laville, et al.. (2022). Multi-omics insights into the biological mechanisms underlying statistical gene-by-lifestyle interactions with smoking and alcohol consumption. Frontiers in Genetics. 13. 954713–954713. 3 indexed citations
8.
Julienne, Hanna, Vincent Laville, Zachary R. McCaw, et al.. (2021). Multitrait GWAS to connect disease variants and biological mechanisms. PLoS Genetics. 17(8). e1009713–e1009713. 19 indexed citations
9.
Laville, Vincent, Timothy D. Majarian, Paul S. de Vries, et al.. (2020). Deriving stratified effects from joint models investigating gene-environment interactions. BMC Bioinformatics. 21(1). 251–251. 2 indexed citations
10.
Julienne, Hanna, P Lechat, Vincent Guillemot, et al.. (2020). JASS: command line and web interface for the joint analysis of GWAS results. NAR Genomics and Bioinformatics. 2(1). lqaa003–lqaa003. 12 indexed citations
11.
Aschard, Hugues, Vincent Laville, Eric Tchetgen Tchetgen, et al.. (2019). Genetic effects on the commensal microbiota in inflammatory bowel disease patients. PLoS Genetics. 15(3). e1008018–e1008018. 40 indexed citations
12.
Laville, Vincent, Florian Privé, Xiaofeng Zhu, et al.. (2018). VarExp: estimating variance explained by genome-wide GxE summary statistics. Bioinformatics. 34(19). 3412–3414. 8 indexed citations
13.
Laville, Vincent, Sigrid Le Clerc, Khaled Ezzedine, et al.. (2018). A genome wide association study identifies new genes potentially associated with eyelid sagging. Experimental Dermatology. 28(8). 892–898. 8 indexed citations
14.
Kim, Jihye, Andrey Ziyatdinov, Vincent Laville, et al.. (2018). Joint Analysis of Multiple Interaction Parameters in Genetic Association Studies. Genetics. 211(2). 483–494. 9 indexed citations
15.
Lagarde, Nathalie, Charly Empereur‐mot, Vincent Laville, et al.. (2017). Discriminating Agonist from Antagonist Ligands of the Nuclear Receptors Using Different Chemoinformatics Approaches. Molecular Informatics. 36(10). 6 indexed citations
16.
Spadoni, Jean‐Louis, Sigrid Le Clerc, Daniëlle van Manen, et al.. (2015). Identification of Genes Whose Expression Profile Is Associated with Non-Progression towards AIDS Using eQTLs. PLoS ONE. 10(9). e0136989–e0136989. 6 indexed citations
17.
Clerc, Sigrid Le, Olivier Delaneau, Cédric Coulonges, et al.. (2014). Evidence After Imputation for a Role of MICA Variants in Nonprogression and Elite Control of HIV Type 1 Infection. The Journal of Infectious Diseases. 210(12). 1946–1950. 9 indexed citations
18.
Lagarde, Nathalie, et al.. (2014). NRLiSt BDB, the Manually Curated Nuclear Receptors Ligands and Structures Benchmarking Database. Journal of Medicinal Chemistry. 57(7). 3117–3125. 39 indexed citations
19.
Boige, Valérie, Magali Svrcek, Stefan Michiels, et al.. (2006). Genome-wide expression profiling and tissue array analysis for prediction of recurrences in stage II-III colorectal cancer (CRC). Journal of Clinical Oncology. 24(18_suppl). 3572–3572. 1 indexed citations
20.
Lazar, Vladimir, Pierre Validire, Sophie Richon, et al.. (2002). Gene expression profiles of bladder cancers: evidence for a striking effect of in vitro cell models on gene patterns. British Journal of Cancer. 86(8). 1283–1289. 21 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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