Florence Phocas
- Genetics top 1%
- Agronomy and Crop Science top 1%
- Animal Science and Zoology top 1%
- Small Animals top 1%
- Plant Science top 10%
- Co-authors
- Dénis LaloëJean SapaPierrick HaffrayÉric VenotMathilde Dupont‐NivetFrançois MénissierChris HozéCatherine Larzul
- Topics
- Genetic and phenotypic traits in livestock (62 papers)Genetic Mapping and Diversity in Plants and Animals (23 papers)Aquaculture Nutrition and Growth (13 papers)
- Partner nations
- FranceMoroccoNetherlands
In The Last Decade
Florence Phocas
90 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 91
- Genetics 1.3k
- Agronomy and Crop Science 446
- Animal Science and Zoology 391
- Small Animals 258
- Plant Science 217
Countries citing papers authored by Florence Phocas
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 3 | |
| 8 | 24 | |
| 9 | 31 | |
| 10 | A single-step, multiple-trait genomic evaluation model increase the accuracy for suckling performance in beef cows. | 2 |
| 11 | 31 | |
| 12 | 36 | |
| 13 | 20 | |
| 14 | 14 | |
| 15 | 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 |
| 16 | 47 | |
| 17 | 11 | |
| 18 | Evolution of the genetic diversity of French beef cattle populations from 1979 to 2008. | 2 |
| 19 | Genetic structure of the European Limousin cattle metapopulation using pedigree analyses | 1 |
| 20 | Comparison of alternative strategies for an international genetic evaluation of beef cattle breeds | 5 |
About Florence Phocas
Florence Phocas is a scholar working on Genetics, Aquatic Science and Animal Science and Zoology, having authored 92 papers that have together received 1.7k indexed citations. Recurring topics across this 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). The work is most often cited by research in Genetics (1.3k citations), Agronomy and Crop Science (446 citations) and Animal Science and Zoology (391 citations). Florence Phocas has collaborated with scholars based in France, Morocco and Netherlands. Frequent 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. Their work appears in journals such as PLoS ONE, Journal of Cleaner Production and Scientific Reports.
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.