Diane Esquerré
Impact in
- Aquatic Science top 1%
- Aquaculture Nutrition and Growth
- Physiology top 1%
- Reproductive biology and impacts on aquatic species
Papers in
-
- RNA Research and Splicing 5
- Genomics and Phylogenetic Studies 4
- Genetics 12
- Genetic and phenotypic traits in livestock 4
- Genetic Mapping and Diversity in Plants and Animals 4
- Co-authors
- Christophe Klopp (15 shared papers)Mekki Boussaha (8 shared papers)Dominique Rocha (7 shared papers)Anis Djari (8 shared papers)Jérôme Montfort (3 shared papers)Françoise Médale (3 shared papers)Stéphane Panserat (3 shared papers)Karine Hugot (3 shared papers)
- Journals
- BMC Genomics (10 papers)PLoS ONE (7 papers)Scientific Reports (5 papers)Genetics Selection Evolution (5 papers)Aquaculture (3 papers)
- Partner nations
- FranceMoroccoUnited States
In The Last Decade
Diane Esquerré
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Aquatic Science 361
- Physiology 211
- Equine 42
- Cancer Research 245
- Genetics 470
Countries citing papers authored by Diane Esquerré
This map shows the geographic impact of Diane Esquerré'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 Diane Esquerré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane Esquerré more than expected).
Fields of papers citing papers by Diane Esquerré
This network shows the impact of papers produced by Diane Esquerré. 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 Diane Esquerré. The network helps show where Diane Esquerré may publish in the future.
Co-authors
The 25 scholars most cited alongside Diane Esquerré, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 144 | |
| 2 | 2009 | 135 | |
| 3 | 2014 | 101 | |
| 4 | 2007 | 94 | |
| 5 | 2008 | 81 | |
| 6 | 2010 | 69 | |
| 7 | 2009 | 69 | |
| 8 | 2015 | 66 | |
| 9 | 2019 | 64 | |
| 10 | 2017 | 57 | |
| 11 | 2017 | 55 | |
| 12 | 2008 | 47 | |
| 13 | 2019 | 31 | |
| 14 | 2017 | 31 | |
| 15 | 2013 | 30 | |
| 16 | 2007 | 30 | |
| 17 | 2021 | 28 | |
| 18 | 2018 | 27 | |
| 19 | 2013 | 27 | |
| 20 | 2014 | 26 |
About Diane Esquerré
Diane Esquerré is a scholar working on Molecular Biology, Genetics, Immunology, Physiology and Cancer Research, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (5 papers), RNA Research and Splicing (5 papers), Cancer-related molecular mechanisms research (5 papers), Aquaculture disease management and microbiota (5 papers), Aquaculture Nutrition and Growth (4 papers), Genetic and phenotypic traits in livestock (4 papers), Genomics and Phylogenetic Studies (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). The work is most often cited by research in Aquatic Science (361 citations), Physiology (211 citations), Equine (42 citations), Cancer Research (245 citations) and Genetics (470 citations). Diane Esquerré has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include Christophe Klopp, Mekki Boussaha, Dominique Rocha, Anis Djari, Jérôme Montfort, Françoise Médale, Stéphane Panserat, Karine Hugot, Sadasivam Kaushik and C. Kolditz. Their work appears in journals such as BMC Genomics, PLoS ONE, Scientific Reports, Genetics Selection Evolution and Aquaculture.
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.