Yann Labrune

1.1k total citations
9 papers, 200 citations indexed

About

Yann Labrune is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Yann Labrune has authored 9 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Yann Labrune's work include Genetic and phenotypic traits in livestock (3 papers), Cancer-related molecular mechanisms research (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Yann Labrune is often cited by papers focused on Genetic and phenotypic traits in livestock (3 papers), Cancer-related molecular mechanisms research (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Yann Labrune collaborates with scholars based in France, United Kingdom and Greece. Yann Labrune's co-authors include Philippe Froguel, Jean‐Luc Coville, David Gourichon, Frédérique Pitel, Vincent Coustham, Hélène Gilbert, Christine Leterrier, Sophie Leroux, Francis Minvielle and Mireille Morisson and has published in prestigious journals such as Obesity, Genomics and animal.

In The Last Decade

Yann Labrune

9 papers receiving 195 citations

Peers

Countries citing papers authored by Yann Labrune

Since Specialization

Citations

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

Fields of papers citing papers by Yann Labrune

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yann Labrune

This figure shows the co-authorship network connecting the top 25 collaborators of Yann Labrune. A scholar is included among the top collaborators of Yann Labrune 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 Yann Labrune. Yann Labrune is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	A genome-wide epistatic network underlies the molecular architecture of continuous color variation of body extremities 2022 ·Genomics ·Julie Demars, Yann Labrune, Nathalie Iannuccelli, (unknown), Sophie Leroux, Hélène Gilbert, (unknown), (unknown), Juliette Riquet	2
2	Short communication: Effects of in-ovo injection of endocrine disruptors and methyltransferase inhibitor on quail growth and egg-laying performances 2022 ·animal ·(unknown), Sophie Leroux, David Gourichon, Yann Labrune, Ingrid David, Tatiana Zerjal, Vincent Coustham, Guillaume Devailly, Frédérique Pitel	1
3	Identification of genomic regions affecting production traits in pigs divergently selected for feed efficiency 2021 ·Genetics Selection Evolution ·(unknown), (unknown), Yann Labrune, Katia Fève, Yvon Billon, Hélène Gilbert, Juliette Riquet	18
4	The impact of training on data from genetically-related lines on the accuracy of genomic predictions for feed efficiency traits in pigs 2020 ·Genetics Selection Evolution ·(unknown), (unknown), Yann Labrune, Juliette Riquet, Hélène Gilbert	11
5	Using 1K SNP panel for genomic selection in 3 French pig breeds: Accuracy of imputation and estimation of genomic breeding values using 1K SNP panel, designed for several breeds in French pig populations 2018 ·Proceedings of the World Congress on Genetics Applied to Livestock Production ·(unknown), A. Bouquet, Yann Labrune, Pauline Brenaut, Juliette Riquet, Catherine Larzul	1
6	Embryonic environment and transgenerational effects in quail 2017 ·Genetics Selection Evolution ·Sophie Leroux, David Gourichon, Christine Leterrier, Yann Labrune, Vincent Coustham, (unknown), Tatiana Zerjal, Jean‐Luc Coville, Mireille Morisson, Francis Minvielle, Frédérique Pitel	50
7	European genetic variants associated with type 2 diabetes in North African Arabs 2012 ·Diabetes & Metabolism ·Stéphane Cauchi, Intissar Ezzidi, Youness El Achhab, Nabil Mtiraoui, (unknown), (unknown), Chakib Nejjari, Yann Labrune, Loïc Yengo, Delphine Beury, Martine Vaxillaire, Touhami Mahjoub, Mohamed Chikri, Philippe Froguel	49
8	Common Variants in FTO, MC4R, TMEM18, PRL, AIF1, and PCSK1 Show Evidence of Association With Adult Obesity in the Greek Population 2011 ·Obesity ·Konstantinos Rouskas, Anastasia Kouvatsi, Konstantinos Paletas, Dimitrios Papazoglou, Απόστολος Τσάπας, Stéphane Lobbens, Vincent Vatin, Emmanuelle Durand, Yann Labrune, Jérôme Delplanque, David Meyre, Philippe Froguel	50
9	Lack of Association of CD36 SNPs With Early Onset Obesity: A Meta‐Analysis in 9,973 European Subjects 2010 ·Obesity ·Hélène Choquet, Yann Labrune, Franck De Graeve, Anke Hinney, Johannes Hebebrand, André Scherag, Cécile Lecœur, M. Tauber, Beverley Balkau, Paul Elliot, Marjo‐Riitta Järvelin, Andrew J. Walley, Philippe Besnard, Philippe Froguel, Stephen Eyre	18

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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