Matthieu Vignes
Impact in
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- Animal Disease Management and Epidemiology
Papers in
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- Bioinformatics and Genomic Networks 8
- Gene expression and cancer classification 7
- Gene Regulatory Network Analysis 4
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- Animal Disease Management and Epidemiology 4
- Co-authors
- Lionel Dupuy (2 shared papers)Florence Forbes (2 shared papers)N. López‐Villalobos (1 shared paper)Philip J. White (1 shared paper)Thomas Schiex (2 shared papers)Simon de Givry (2 shared papers)Blair M. McKenzie (1 shared paper)Christine Cierco-Ayrolles (2 shared papers)
- Journals
- PLoS ONE (4 papers)Animals (3 papers)Statistics and Computing (2 papers)Bioinformatics (2 papers)Journal of Statistical Planning and Inference (1 paper)
- Partner nations
- New ZealandFranceUnited Kingdom
In The Last Decade
Matthieu Vignes
32 papers receiving 246 citations
Peers
Comparison fields: 5 of 77
- Agronomy and Crop Science 22
- Equine 3
- Animal Science and Zoology 15
- Statistics and Probability 12
- Molecular Biology 94
Countries citing papers authored by Matthieu Vignes
This map shows the geographic impact of Matthieu Vignes'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 Matthieu Vignes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Vignes more than expected).
Fields of papers citing papers by Matthieu Vignes
This network shows the impact of papers produced by Matthieu Vignes. 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 Matthieu Vignes. The network helps show where Matthieu Vignes may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthieu Vignes, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 59 | |
| 2 | 2009 | 30 | |
| 3 | 2021 | 24 | |
| 4 | 2009 | 17 | |
| 5 | 2021 | 14 | |
| 6 | 2022 | 12 | |
| 7 | 2014 | 10 | |
| 8 | 2023 | 9 | |
| 9 | 2012 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2009 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2014 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2014 | 3 | |
| 20 | 2024 | 3 |
About Matthieu Vignes
Matthieu Vignes is a scholar working on Molecular Biology, Agronomy and Crop Science, Statistics and Probability, Ecology and Animal Science and Zoology, having authored 35 papers that have together received 253 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (7 papers), Statistical Methods and Inference (4 papers), Animal Disease Management and Epidemiology (4 papers), Gene Regulatory Network Analysis (4 papers), Plant nutrient uptake and metabolism (3 papers), Agriculture Sustainability and Environmental Impact (3 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Agronomy and Crop Science (22 citations), Equine (3 citations), Animal Science and Zoology (15 citations), Statistics and Probability (12 citations) and Molecular Biology (94 citations). Matthieu Vignes has collaborated with scholars based in New Zealand, France and United Kingdom. Frequent co-authors include Lionel Dupuy, Florence Forbes, N. López‐Villalobos, Philip J. White, Thomas Schiex, Simon de Givry, Blair M. McKenzie, Christine Cierco-Ayrolles, Brigitte Mangin and Jimmy Vandel. Their work appears in journals such as PLoS ONE, Animals, Statistics and Computing, Bioinformatics and Journal of Statistical Planning and Inference.
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.