Philippe Cubry
Impact in
- Horticulture top 1%
- Cocoa and Sweet Potato Agronomy
- Pharmacology top 5%
- Coffee research and impacts
Papers in
- Genetics 25
- Genetic diversity and population structure 16
- Genetic Mapping and Diversity in Plants and Animals 15
- Genetic and phenotypic traits in livestock 6
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- Rice Cultivation and Yield Improvement 5
- Chromosomal and Genetic Variations 4
- Wheat and Barley Genetics and Pathology 4
- Co-authors
- Thierry Leroy (8 shared papers)Yves Vigouroux (17 shared papers)Pascal Musoli (6 shared papers)David Pot (7 shared papers)Fabien De Bellis (6 shared papers)Olivier François (8 shared papers)Bénédicte Rhoné (5 shared papers)Cédric Mariac (6 shared papers)
- Journals
- Molecular Ecology (4 papers)PLoS ONE (3 papers)Journal of Experimental Botany (3 papers)Rice (2 papers)Tree Genetics & Genomes (2 papers)
- Partner nations
- FranceIvory CoastSenegal
In The Last Decade
Philippe Cubry
41 papers receiving 942 citations
Peers
Comparison fields: 5 of 71
- Horticulture 95
- Pharmacology 270
- Plant Science 580
- Genetics 270
- Ecological Modeling 41
Countries citing papers authored by Philippe Cubry
This map shows the geographic impact of Philippe Cubry'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 Philippe Cubry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Cubry more than expected).
Fields of papers citing papers by Philippe Cubry
This network shows the impact of papers produced by Philippe Cubry. 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 Philippe Cubry. The network helps show where Philippe Cubry may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Cubry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 79 | |
| 2 | 2020 | 75 | |
| 3 | 2012 | 73 | |
| 4 | 2018 | 72 | |
| 5 | 2019 | 72 | |
| 6 | 2009 | 66 | |
| 7 | 2008 | 64 | |
| 8 | 2012 | 53 | |
| 9 | 2011 | 40 | |
| 10 | 2014 | 39 | |
| 11 | 2023 | 29 | |
| 12 | 2012 | 27 | |
| 13 | 2014 | 24 | |
| 14 | 2013 | 23 | |
| 15 | 2018 | 21 | |
| 16 | 2015 | 21 | |
| 17 | 2020 | 19 | |
| 18 | 2023 | 16 | |
| 19 | 2022 | 15 | |
| 20 | 2022 | 15 |
About Philippe Cubry
Philippe Cubry is a scholar working on Genetics, Plant Science, Pharmacology, Molecular Biology and Horticulture, having authored 46 papers that have together received 982 indexed citations. Recurring topics across this work include Genetic diversity and population structure (16 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers), Coffee research and impacts (12 papers), Genetic and phenotypic traits in livestock (6 papers), Cocoa and Sweet Potato Agronomy (6 papers), Rice Cultivation and Yield Improvement (5 papers), Chromosomal and Genetic Variations (4 papers) and Wheat and Barley Genetics and Pathology (4 papers). The work is most often cited by research in Horticulture (95 citations), Pharmacology (270 citations), Plant Science (580 citations), Genetics (270 citations) and Ecological Modeling (41 citations). Philippe Cubry has collaborated with scholars based in France, Ivory Coast and Senegal. Frequent co-authors include Thierry Leroy, Yves Vigouroux, Pascal Musoli, David Pot, Fabien De Bellis, Olivier François, Bénédicte Rhoné, Cédric Mariac, Marie Couderc and Nora Scarcelli. Their work appears in journals such as Molecular Ecology, PLoS ONE, Journal of Experimental Botany, Rice and Tree Genetics & Genomes.
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.