Éric Venot

679 total citations
21 papers, 311 citations indexed

About

Éric Venot is a scholar working on Genetics, Agronomy and Crop Science and Nutrition and Dietetics. According to data from OpenAlex, Éric Venot has authored 21 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 5 papers in Agronomy and Crop Science and 3 papers in Nutrition and Dietetics. Recurrent topics in Éric Venot's work include Genetic and phenotypic traits in livestock (11 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Ruminant Nutrition and Digestive Physiology (3 papers). Éric Venot is often cited by papers focused on Genetic and phenotypic traits in livestock (11 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Ruminant Nutrition and Digestive Physiology (3 papers). Éric Venot collaborates with scholars based in France, Guadeloupe and Morocco. Éric Venot's co-authors include Florence Phocas, Romain Saintilan, Chris Hozé, Sébastien Fritz, Gilles Renand, Dénis Laloë, Pascal Croiseau, Romain Dassonneville, Didier Boichard and Vincent Ducrocq and has published in prestigious journals such as Frontiers in Immunology, Journal of Animal Science and Journal of Mass Spectrometry.

In The Last Decade

Éric Venot

20 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Éric Venot France 11 251 75 65 50 40 21 311
М. Г. Смарагдов Russia 7 288 1.1× 79 1.1× 66 1.0× 99 2.0× 43 1.1× 29 347
Gordon Vander Voort Canada 10 267 1.1× 94 1.3× 49 0.8× 93 1.9× 66 1.6× 13 322
Flavie Tortereau France 11 336 1.3× 85 1.1× 61 0.9× 105 2.1× 47 1.2× 19 397
Adriana García-Ruíz Mexico 8 422 1.7× 166 2.2× 126 1.9× 67 1.3× 38 0.9× 19 482
Mohsen Jafarikia Canada 9 329 1.3× 70 0.9× 55 0.8× 56 1.1× 81 2.0× 24 379
Maria do Socorro Maués Albuquerque Brazil 10 252 1.0× 72 1.0× 35 0.5× 57 1.1× 17 0.4× 13 307
Claudia A. Sevillano Netherlands 12 260 1.0× 54 0.7× 52 0.8× 133 2.7× 36 0.9× 22 338
Dzianis Prakapenka United States 12 394 1.6× 105 1.4× 93 1.4× 50 1.0× 118 3.0× 20 437
Romain Saintilan France 10 249 1.0× 62 0.8× 24 0.4× 153 3.1× 35 0.9× 18 339
Sebastián Munilla Argentina 10 239 1.0× 52 0.7× 84 1.3× 40 0.8× 34 0.8× 31 293

Countries citing papers authored by Éric Venot

Since Specialization
Citations

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

Fields of papers citing papers by Éric Venot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éric Venot

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Venot. A scholar is included among the top collaborators of Éric Venot 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 Éric Venot. Éric Venot 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.
2.
Adel‐Patient, Karine, Florence Campeotto, Marta Grauso, et al.. (2023). Assessment of local and systemic signature of eosinophilic esophagitis (EoE) in children through multi-omics approaches. Frontiers in Immunology. 14. 1108895–1108895. 10 indexed citations
3.
Combes, Sylvie, Martín Beaumont, Christelle Knudsen, et al.. (2023). VARIABILITE DE LA COMPOSITION EN OLIGOSACCHARIDES DU LAIT ET LIEN AVEC LA CARRIERE REPRODUCTIVE DES LAPINES ET LA VIABILITE DES LAPEREAUX AU SEVRAGE. SPIRE - Sciences Po Institutional REpository.
4.
Rathahao, Estelle, Meijie Li, Blanche Guillon, et al.. (2022). Rapid structural characterization of human milk oligosaccharides and distinction of their isomers using trapped ion mobility spectrometry time‐of‐flight mass spectrometry. Journal of Mass Spectrometry. 57(10). e4885–e4885. 11 indexed citations
5.
Rocha, Dominique, et al.. (2021). Long-range linkage disequilibrium in French beef cattle breeds. Genetics Selection Evolution. 53(1). 63–63. 10 indexed citations
6.
Boussaha, Mekki, Yuliaxis Ramayo‐Caldas, Pauline Martin, et al.. (2020). Gene networks for three feed efficiency criteria reveal shared and specific biological processes. Genetics Selection Evolution. 52(1). 67–67. 19 indexed citations
7.
Saintilan, Romain, et al.. (2019). A single-step, multiple-trait genomic evaluation model increase the accuracy for suckling performance in beef cows.. 33–39. 2 indexed citations
8.
Saintilan, Romain, et al.. (2018). La sélection génétique des races bovines allaitantes en France : un dispositif et des outilsinnovants au service desfilières viande. INRAE Productions Animales. 30(2). 107–124. 4 indexed citations
9.
Saintilan, Romain, et al.. (2016). Detection of quantitative trait loci for maternal traits using high-density genotypes of Blonde d’Aquitaine beef cattle. BMC Genetics. 17(1). 88–88. 31 indexed citations
10.
Saintilan, Romain, et al.. (2016). Insights into the genetic variation of maternal behavior and suckling performance of continental beef cows. Genetics Selection Evolution. 48(1). 45–45. 20 indexed citations
11.
Venot, Éric. (2014). Benefits of Interbeef international genetic evaluations for weaning weight. 4 indexed citations
12.
Pabiou, T., et al.. (2014). Across-Country Genetic Parameters in Beef Cattle for Interbeef Weaning Weight Genetic Evaluation. Proceedings of the World Congress on Genetics Applied to Livestock Production. 731. 7 indexed citations
13.
Saintilan, Romain, et al.. (2014). Genomic prediction in French Charolais beef cattle using high-density single nucleotide polymorphism markers1. Journal of Animal Science. 92(8). 3258–3269. 29 indexed citations
14.
Hozé, Chris, Éric Venot, François Guillaume, et al.. (2013). High-density marker imputation accuracy in sixteen French cattle breeds. Genetics Selection Evolution. 45(1). 33–33. 94 indexed citations
15.
Bouquet, A., Éric Venot, Dénis Laloë, et al.. (2011). Genetic structure of the European Charolais and Limousin cattle metapopulations using pedigree analyses. Journal of Animal Science. 89(6). 1719–1730. 29 indexed citations
16.
Bouquet, A., Éric Venot, Dénis Laloë, et al.. (2009). Genetic structure of the European Limousin cattle metapopulation using pedigree analyses. Bulletin - International Bull Evaluation Service/Interbull bulletin. 98. 1 indexed citations
17.
Venot, Éric, T. Pabiou, M.P. Coffey, et al.. (2007). Interbeef in prectice: example of a joint genetic evaluation between France, Ireland and United Kingdom for pure bred Limousine weaning weights. Bulletin - International Bull Evaluation Service/Interbull bulletin. 41. 8 indexed citations
18.
Pabiou, T., et al.. (2007). Data exchange for beef international evaluation. Bulletin - International Bull Evaluation Service/Interbull bulletin. 49. 1 indexed citations
19.
Verloo, Didier, Éric Venot, Hans Laevens, et al.. (2005). Estimating the probability of freedom of classical swine fever virus of the East-Belgium wild-boar population. Preventive Veterinary Medicine. 70(3-4). 211–222. 12 indexed citations
20.
Jaffrézic, Florence, et al.. (2004). Use of structured antedependence models for the genetic analysis of growth curves1. Journal of Animal Science. 82(12). 3465–3473. 17 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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