Florence Phocas

2.7k total citations
92 papers, 1.7k citations indexed

About

Florence Phocas is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Florence Phocas has authored 92 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Genetics, 18 papers in Animal Science and Zoology and 16 papers in Agronomy and Crop Science. Recurrent topics in Florence Phocas's work include Genetic and phenotypic traits in livestock (62 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers) and Aquaculture Nutrition and Growth (13 papers). Florence Phocas is often cited by papers focused on Genetic and phenotypic traits in livestock (62 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers) and Aquaculture Nutrition and Growth (13 papers). Florence Phocas collaborates with scholars based in France, Morocco and Netherlands. Florence Phocas's co-authors include Dénis Laloë, Jean Sapa, Pierrick Haffray, Éric Venot, Mathilde Dupont‐Nivet, François Ménissier, Chris Hozé, Catherine Larzul, Sébastien Fritz and Didier Boichard and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Florence Phocas

90 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florence Phocas France 25 1.3k 446 391 258 217 92 1.7k
Hugo H. Montaldo Mexico 23 934 0.7× 565 1.3× 537 1.4× 174 0.7× 99 0.5× 91 1.5k
M. J. Carabaño Spain 24 1.1k 0.9× 640 1.4× 809 2.1× 244 0.9× 264 1.2× 84 1.7k
Peer Berg Denmark 29 1.6k 1.3× 541 1.2× 744 1.9× 592 2.3× 474 2.2× 112 2.6k
Oswald Matika United Kingdom 26 1.4k 1.2× 433 1.0× 553 1.4× 363 1.4× 182 0.8× 77 2.3k
Asko Mäki‐Tanila Finland 27 1.8k 1.4× 461 1.0× 614 1.6× 141 0.5× 389 1.8× 67 2.2k
Wendy M. Rauw Spain 17 813 0.7× 355 0.8× 877 2.2× 567 2.2× 124 0.6× 68 1.8k
Andrew Swan Australia 28 1.5k 1.2× 536 1.2× 510 1.3× 308 1.2× 332 1.5× 130 2.1k
Mehar S. Khatkar Australia 25 1.7k 1.3× 307 0.7× 143 0.4× 81 0.3× 528 2.4× 88 2.3k
Juan Vicente Delgado Bermejo Spain 26 1.9k 1.5× 542 1.2× 872 2.2× 213 0.8× 164 0.8× 318 2.8k
Étienne Verrier France 23 1.7k 1.4× 378 0.8× 438 1.1× 118 0.5× 311 1.4× 62 2.1k

Countries citing papers authored by Florence Phocas

Since Specialization
Citations

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

Fields of papers citing papers by Florence Phocas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Phocas

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Phocas. A scholar is included among the top collaborators of Florence Phocas 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 Florence Phocas. Florence Phocas 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.
Pouil, Simon, Joël Aubin, & Florence Phocas. (2025). Deriving breeding goals and expected selection responses to reduce environmental impacts in rainbow trout farming. Genetics Selection Evolution. 57(1). 71–71.
2.
Besson, Mathieu, et al.. (2024). GenoTriplo: A SNP genotype calling method for triploids. PLoS Computational Biology. 20(9). e1012483–e1012483. 1 indexed citations
3.
Brascamp, E.W., Fanny Mondet, Alain Vignal, et al.. (2024). Heritability and correlations for honey yield, handling ease, brood quantity, and traits related to resilience in a French honeybee population. Apidologie. 55(4). 1 indexed citations
4.
Eynard, Sonia E, Fanny Mondet, Olivier Bouchez, et al.. (2024). Sequence‐Based Multi Ancestry Association Study Reveals the Polygenic Architecture of Varroa destructor Resistance in the Honeybee Apis mellifera. Molecular Ecology. 34(3). e17637–e17637. 3 indexed citations
5.
6.
Morvezen, Romain, Pierrick Haffray, François Allal, et al.. (2023). Potential of genomic selection for growth, meat content and colour traits in mixed-family breeding designs for the Pacific oyster Crassostrea gigas. Aquaculture. 576. 739878–739878. 17 indexed citations
7.
Phocas, Florence, et al.. (2023). An Overview of Selection Concepts Applied to Honey Bees. Bee World. 100(1). 2–8. 3 indexed citations
8.
Haffray, Pierrick, Jérôme Bugeon, Nicolas Dechamp, et al.. (2021). Genetic Parameters and Genome-Wide Association Studies of Quality Traits Characterised Using Imaging Technologies in Rainbow Trout, Oncorhynchus mykiss. Frontiers in Genetics. 12. 639223–639223. 24 indexed citations
9.
Allal, François, Sophie Brard‐Fudulea, Romain Morvezen, et al.. (2019). APIS: An auto‐adaptive parentage inference software that tolerates missing parents. Molecular Ecology Resources. 20(2). 579–590. 31 indexed citations
10.
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
11.
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
12.
Phocas, Florence, Catherine Belloc, Jean Pierre Bidanel, et al.. (2016). Review: Towards the agroecological management of ruminants, pigs and poultry through the development of sustainable breeding programmes. II. Breeding strategies. animal. 10(11). 1760–1769. 36 indexed citations
13.
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
14.
Phocas, Florence, Julien Bobe, Loýs Bodin, et al.. (2014). Des animaux plus robustes : un enjeu majeur pour le développement durable des productions animales nécessitant l’essor du phénotypage fin et à haut débit. INRAE Productions Animales. 27(3). 181–194. 14 indexed citations
15.
Phocas, Florence. (2014). Comparison of Accuracies of Genomic Prediction in French Limousin Cattle Population according to the Number of Markers and to Pedigree Relationship between Training and Validation Populations. 1 indexed citations
16.
Leroy, G, Florence Phocas, Benoît Hédan, Étienne Verrier, & Xavier Rognon. (2014). Inbreeding impact on litter size and survival in selected canine breeds. The Veterinary Journal. 203(1). 74–78. 47 indexed citations
17.
Arquet, Rémy, et al.. (2012). Economic values of body weight, reproduction and parasite resistance traits for a Creole goat breeding goal. animal. 7(1). 22–33. 11 indexed citations
18.
Bouquet, A., Gilles Renand, & Florence Phocas. (2009). Evolution of the genetic diversity of French beef cattle populations from 1979 to 2008.. INRAE Productions Animales. 22(4). 317–330. 2 indexed citations
19.
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
20.
Phocas, Florence, K. A. Donoghue, & H. U. Graser. (2004). Comparison of alternative strategies for an international genetic evaluation of beef cattle breeds. Bulletin - International Bull Evaluation Service/Interbull bulletin. 18. 5 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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