Hélène Gilbert

4.7k total citations
140 papers, 2.9k citations indexed

About

Hélène Gilbert is a scholar working on Animal Science and Zoology, Genetics and Small Animals. According to data from OpenAlex, Hélène Gilbert has authored 140 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Animal Science and Zoology, 80 papers in Genetics and 44 papers in Small Animals. Recurrent topics in Hélène Gilbert's work include Genetic and phenotypic traits in livestock (72 papers), Animal Nutrition and Physiology (63 papers) and Genetic Mapping and Diversity in Plants and Animals (46 papers). Hélène Gilbert is often cited by papers focused on Genetic and phenotypic traits in livestock (72 papers), Animal Nutrition and Physiology (63 papers) and Genetic Mapping and Diversity in Plants and Animals (46 papers). Hélène Gilbert collaborates with scholars based in France, Morocco and United States. Hélène Gilbert's co-authors include Yvon Billon, Jean Pierre Bidanel, Pierre P. Sellier, Florence Gondret, Isabelle Louveau, Pascale Le Roy, J. Noblet, Jaap J. van Milgen, Juliette Riquet and David Renaudeau and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Hélène Gilbert

135 papers receiving 2.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hélène Gilbert 1.6k 1.5k 613 525 299 140 2.9k
Jean Pierre Bidanel 1.6k 1.0× 2.2k 1.5× 1.0k 1.7× 307 0.6× 347 1.2× 118 3.3k
J.W.M. Bastiaansen 760 0.5× 2.0k 1.3× 235 0.4× 484 0.9× 241 0.8× 117 2.7k
V. Bruggeman 3.0k 1.9× 674 0.5× 494 0.8× 373 0.7× 157 0.5× 97 4.0k
Simone Eliza Facioni Guimarães 803 0.5× 1.7k 1.1× 232 0.4× 498 0.9× 617 2.1× 242 2.9k
Robert J. Tempelman 1.1k 0.7× 2.0k 1.4× 450 0.7× 414 0.8× 1.3k 4.3× 149 3.6k
E. Kalm 1.2k 0.8× 2.2k 1.5× 569 0.9× 534 1.0× 668 2.2× 150 3.2k
Haja N. Kadarmideen 751 0.5× 2.3k 1.6× 320 0.5× 820 1.6× 1.0k 3.5× 149 3.5k
J. D. Nkrumah 1.0k 0.7× 2.0k 1.3× 175 0.3× 273 0.5× 1.2k 4.1× 31 2.8k
Yuliaxis Ramayo‐Caldas 610 0.4× 963 0.7× 156 0.3× 1.0k 1.9× 292 1.0× 82 2.3k
Christian Maltecca 998 0.6× 2.5k 1.7× 537 0.9× 616 1.2× 1.1k 3.7× 168 3.7k

Countries citing papers authored by Hélène Gilbert

Since Specialization
Citations

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

Fields of papers citing papers by Hélène Gilbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hélène Gilbert

This figure shows the co-authorship network connecting the top 25 collaborators of Hélène Gilbert. A scholar is included among the top collaborators of Hélène Gilbert 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 Hélène Gilbert. Hélène Gilbert 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.
Montagné, Lucile, Jean‐Philippe Choisis, Hélène Gilbert, et al.. (2024). Quels défis au développement de la production porcine en agriculture biologique en France ?. SHILAP Revista de lepidopterología. 7398–7398. 1 indexed citations
3.
Gilbert, Hélène, et al.. (2024). 6. Changes in daily feeding rhythms could influence the genetics of feed efficiency in growing pigs. Animal - science proceedings. 15(4). 263–263.
4.
Devailly, Guillaume, Katia Fève, Sophie Valière, et al.. (2024). Divergent selection for feed efficiency in pigs altered the duodenum transcriptomic response to feed intake and its DNA methylation profiles. Physiological Genomics. 56(5). 397–408.
5.
Garreau, Hervé, Hervé Chapuis, Juliette Riquet, et al.. (2023). Genome wide association study of growth and feed efficiency traits in rabbits. World Rabbit Science. 31(3). 163–169. 3 indexed citations
6.
Zemb, Olivier, et al.. (2022). Microbiability and microbiome-wide association analyses of feed efficiency and performance traits in pigs. Genetics Selection Evolution. 54(1). 29–29. 16 indexed citations
7.
Rauw, Wendy M., David Renaudeau, Juliette Riquet, et al.. (2022). Plasticity of feeding behaviour traits in response to production environment (temperate vs. tropical) in group-housed growing pigs. Scientific Reports. 12(1). 847–847. 3 indexed citations
8.
Labrune, Yann, et al.. (2021). Identification of genomic regions affecting production traits in pigs divergently selected for feed efficiency. Genetics Selection Evolution. 53(1). 49–49. 18 indexed citations
9.
Zemb, Olivier, et al.. (2021). Genetic relationships between feed efficiency and gut microbiome in pig lines selected for residual feed intake. Journal of Animal Breeding and Genetics. 138(4). 491–507. 24 indexed citations
10.
Douhard, Frédéric, Mathieu Douhard, Hélène Gilbert, et al.. (2021). How much energetic trade‐offs limit selection? Insights from livestock and related laboratory model species. Evolutionary Applications. 14(12). 2726–2749. 12 indexed citations
11.
Labrune, Yann, et al.. (2020). The impact of training on data from genetically-related lines on the accuracy of genomic predictions for feed efficiency traits in pigs. Genetics Selection Evolution. 52(1). 57–57. 11 indexed citations
12.
Bidanel, Jean Pierre, Thierry Tribout, Laurianne Canario, et al.. (2018). Fifty years of pig breeding in France: outcomes and perspectives.. 50. 61–74. 2 indexed citations
13.
Demars, Julie, Stéphane Fabre, Julien Sarry, et al.. (2013). Genome-Wide Association Studies Identify Two Novel BMP15 Mutations Responsible for an Atypical Hyperprolificacy Phenotype in Sheep. PLoS Genetics. 9(4). e1003482–e1003482. 134 indexed citations
14.
Frésard, Laure, Sophie Leroux, Patrice Déhais, et al.. (2012). Fine mapping of complex traits in non-model species: using next generation sequencing and advanced intercross lines in Japanese quail. BMC Genomics. 13(1). 551–551. 21 indexed citations
15.
Dourmad, Jean-Yves, Laurianne Canario, Hélène Gilbert, et al.. (2010). Evolution of animal performance and robustness in pig farms.. INRAE Productions Animales. 23(1). 53–64. 2 indexed citations
16.
Frigon, Marlène & Hélène Gilbert. (2010). EXISTENCE THEOREMS FOR SYSTEMS OF THIRD ORDER DIFFERENTIAL EQUATIONS. Dynamic Systems and Applications. 19. 1 indexed citations
17.
Tortereau, Flavie, et al.. (2010). Combining two Meishan F2 crosses improves the detection of QTL on pig chromosomes 2, 4 and 6. Genetics Selection Evolution. 42(1). 42–42. 12 indexed citations
18.
Gilbert, Hélène, Juliette Riquet, Joseph Gruand, et al.. (2010). Detecting QTL for feed intake traits and other performance traits in growing pigs in a Piétrain–Large White backcross. animal. 4(8). 1308–1318. 18 indexed citations
19.
Du, Zhiqiang, Silvia Vincent‐Naulleau, Hélène Gilbert, et al.. (2007). Detection of novel quantitative trait loci for cutaneous melanoma by genome-wide scan in the MeLiM swine model. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
20.
Nadaf, Javad, Hélène Gilbert, Frédérique Pitel, et al.. (2007). Identification of QTL controlling meat quality traits in an F2 cross between two chicken lines selected for either low or high growth rate. BMC Genomics. 8(1). 155–155. 45 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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