Mathieu Arnal
Impact in
- Agronomy and Crop Science top 5%
- Reproductive Physiology in Livestock
- Ruminant Nutrition and Digestive Physiology
- Milk Quality and Mastitis in Dairy Cows
- Livestock Farming and Management
- Genetics top 10%
- Genetic and phenotypic traits in livestock
Papers in
- Genetics 7
- Genetic and phenotypic traits in livestock 7
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- Reproductive Physiology in Livestock 1
- Co-authors
- Frédéric Douhard (1 shared paper)Christine F. Baes (1 shared paper)Luiz Fernando Brito (1 shared paper)Francisco Peñagaricano (1 shared paper)F. Miglior (1 shared paper)Allan Paul Schinckel (1 shared paper)Nicolas Bédère (1 shared paper)Hinayah Rojas de Oliveira (1 shared paper)
- Journals
- Journal of Dairy Science (3 papers)animal (1 paper)Genetics Selection Evolution (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)World Congress on Genetics Applied to Livestock Production (WCGALP) (1 paper)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Mathieu Arnal
5 papers receiving 288 citations
Mathieu Arnal's Hit Papers
Peers
Comparison fields: 5 of 36
- Agronomy and Crop Science 79
- Genetics 179
- Animal Science and Zoology 19
- Environmental Chemistry 17
- Small Animals 9
Countries citing papers authored by Mathieu Arnal
This map shows the geographic impact of Mathieu Arnal'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 Mathieu Arnal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Arnal more than expected).
Fields of papers citing papers by Mathieu Arnal
This network shows the impact of papers produced by Mathieu Arnal. 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 Mathieu Arnal. The network helps show where Mathieu Arnal may publish in the future.
Co-authors
The 15 scholars most cited alongside Mathieu Arnal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Review: Genetic selection of high-yielding dairy cattle toward sustainable farming systems in a rapidly changing world Hit paper breakdown → | 2021 | 225 |
| 2 | 2018 | 42 | |
| 3 | 2019 | 16 | |
| 4 | 2020 | 8 | |
| 5 | 2023 | 4 | |
| 6 | Caractérisation des courbes de production des chèvres en lactation longue | 2022 | 1 |
| 7 | 2022 | 0 |
About Mathieu Arnal
Mathieu Arnal is a scholar working on Genetics, Agronomy and Crop Science, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 7 papers that have together received 296 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (7 papers) and Reproductive Physiology in Livestock (1 paper). The work is most often cited by research in Agronomy and Crop Science (79 citations), Genetics (179 citations), Animal Science and Zoology (19 citations), Environmental Chemistry (17 citations) and Small Animals (9 citations). Mathieu Arnal has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Frédéric Douhard, Christine F. Baes, Luiz Fernando Brito, Francisco Peñagaricano, F. Miglior, Allan Paul Schinckel, Nicolas Bédère, Hinayah Rojas de Oliveira, Christèle Robert-Granié and Hélène Larroque. Their work appears in journals such as Journal of Dairy Science, animal, Genetics Selection Evolution, HAL (Le Centre pour la Communication Scientifique Directe) and World Congress on Genetics Applied to Livestock Production (WCGALP).
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.