Romain Saintilan

638 total citations
18 papers, 339 citations indexed

About

Romain Saintilan is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Romain Saintilan has authored 18 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 7 papers in Animal Science and Zoology and 5 papers in Agronomy and Crop Science. Recurrent topics in Romain Saintilan's work include Genetic and phenotypic traits in livestock (15 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Animal Nutrition and Physiology (4 papers). Romain Saintilan is often cited by papers focused on Genetic and phenotypic traits in livestock (15 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Animal Nutrition and Physiology (4 papers). Romain Saintilan collaborates with scholars based in France, Morocco and Spain. Romain Saintilan's co-authors include Hélène Gilbert, Éric Venot, Florence Phocas, Pierre P. Sellier, Gilles Renand, Jean Pierre Bidanel, Ludovic Brossard, Jaap J. van Milgen, Yuliaxis Ramayo‐Caldas and María Ballester and has published in prestigious journals such as Journal of Dairy Science, Journal of Animal Science and animal.

In The Last Decade

Romain Saintilan

17 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Romain Saintilan France 10 249 153 62 48 36 18 339
İ̇brahim Cemal Türkiye 14 491 2.0× 172 1.1× 117 1.9× 37 0.8× 78 2.2× 48 614
Flavie Tortereau France 11 336 1.3× 105 0.7× 85 1.4× 41 0.9× 64 1.8× 19 397
Ewa Sell‐Kubiak Poland 12 282 1.1× 211 1.4× 76 1.2× 162 3.4× 46 1.3× 38 471
Taki Karslı Türkiye 13 247 1.0× 215 1.4× 38 0.6× 12 0.3× 58 1.6× 54 430
Takeshi Honda Japan 12 375 1.5× 118 0.8× 104 1.7× 23 0.5× 59 1.6× 38 479
A. Tircazes France 6 124 0.5× 148 1.0× 42 0.7× 65 1.4× 38 1.1× 7 265
Claudia A. Sevillano Netherlands 12 260 1.0× 133 0.9× 54 0.9× 69 1.4× 27 0.8× 22 338
Filippo Cendron Italy 12 179 0.7× 205 1.3× 67 1.1× 17 0.4× 102 2.8× 29 391
H. van der Steen Australia 4 395 1.6× 123 0.8× 55 0.9× 81 1.7× 110 3.1× 6 521
Mahesh Shivanand Dige India 10 175 0.7× 122 0.8× 122 2.0× 25 0.5× 64 1.8× 49 310

Countries citing papers authored by Romain Saintilan

Since Specialization
Citations

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

Fields of papers citing papers by Romain Saintilan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romain Saintilan

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

All Works

18 of 18 papers shown
1.
2.
Capitan, Aurélien, Romain Saintilan, Chris Hozé, et al.. (2024). Genetic parameters, genome-wide association study, and selection perspective on gestation length in 16 French cattle breeds. Journal of Dairy Science. 107(10). 8157–8169. 1 indexed citations
3.
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
4.
Saintilan, Romain, et al.. (2019). Relationship between feed efficiency and slaughter traits of French Charolais bulls. Journal of Animal Science. 97(6). 2308–2319. 23 indexed citations
5.
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
6.
Morgenthaler, Caroline, Aurélien Capitan, Rachel Legendre, et al.. (2017). A missense variant in the coil1A domain of the keratin 25 gene is associated with the dominant curly hair coat trait (Crd) in horse. Genetics Selection Evolution. 49(1). 85–85. 17 indexed citations
7.
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
8.
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
9.
10.
Ramayo‐Caldas, Yuliaxis, Gilles Renand, María Ballester, Romain Saintilan, & Dominique Rocha. (2016). Multi-breed and multi-trait co-association analysis of meat tenderness and other meat quality traits in three French beef cattle breeds. Genetics Selection Evolution. 48(1). 37–37. 52 indexed citations
11.
Allais‐Bonnet, Aurélie, Romain Saintilan, Cécile Grohs, et al.. (2015). Whole-genome sequencing identifies a homozygous deletion encompassing exons 17 to 23 of the integrin beta 4 gene in a Charolais calf with junctional epidermolysis bullosa. Genetics Selection Evolution. 47(1). 37–37. 7 indexed citations
12.
Saintilan, Romain, Ludovic Brossard, Pierre Sellier, et al.. (2014). Phenotypic and genetic relationships between growth and feed intake curves and feed efficiency and amino acid requirements in the growing pig. animal. 9(1). 18–27. 22 indexed citations
13.
Capitan, Aurélien, Aurélia Baur, Romain Saintilan, et al.. (2014). Genetic tools to improve reproduction traits in dairy cattle. Reproduction Fertility and Development. 27(1). 14–21. 17 indexed citations
14.
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
15.
Saintilan, Romain, Ludovic Brossard, Thierry Tribout, et al.. (2013). Genetics of residual feed intake in growing pigs: Relationships with production traits, and nitrogen and phosphorus excretion traits1. Journal of Animal Science. 91(6). 2542–2554. 82 indexed citations
16.
Saintilan, Romain, Thierry Tribout, Jean Pierre Bidanel, et al.. (2012). Selection for feed efficiency in growing pig: opportunities and consequences of using residual feed intake in collective selection breeds.. 44. 13–18. 1 indexed citations
17.
Saintilan, Romain, Pierre P. Sellier, Yvon Billon, & Hélène Gilbert. (2011). Genetic correlations between males, females and castrates for residual feed intake, feed conversion ratio, growth rate and carcass composition traits in Large White growing pigs. Journal of Animal Breeding and Genetics. 129(2). 103–106. 16 indexed citations
18.
Saintilan, Romain, et al.. (2011). Genetic parameters and halothane genotype effect for residual feed intake in Piétrain growing pigs. Livestock Science. 142(1-3). 203–209. 9 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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