Mathieu Rousseau‐Gueutin
- Plant Science top 2%
- Molecular Biology top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Genetics top 10%
- Cell Biology
- Co-authors
- Anne‐Marie ChèvreBéatrice Denoyes-RothanAbdelkader AïnoucheArmel SalmonJérôme MoriceMalika L. AïnoucheAmélia GastonJulie Ferreira de Carvalho
- Topics
- Chromosomal and Genetic Variations (22 papers)Plant Disease Resistance and Genetics (12 papers)Genomics and Phylogenetic Studies (11 papers)
In The Last Decade
Mathieu Rousseau‐Gueutin
37 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 56
- Plant Science 975
- Molecular Biology 845
- Ecology, Evolution, Behavior and Systematics 273
- Genetics 206
- Cell Biology 105
Countries citing papers authored by Mathieu Rousseau‐Gueutin
This map shows the geographic impact of Mathieu Rousseau‐Gueutin'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 Rousseau‐Gueutin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Rousseau‐Gueutin more than expected).
Fields of papers citing papers by Mathieu Rousseau‐Gueutin
This network shows the impact of papers produced by Mathieu Rousseau‐Gueutin. 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 Rousseau‐Gueutin. The network helps show where Mathieu Rousseau‐Gueutin may publish in the future.
Co-authorship network of co-authors of Mathieu Rousseau‐Gueutin
This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Rousseau‐Gueutin. A scholar is included among the top collaborators of Mathieu Rousseau‐Gueutin 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 Mathieu Rousseau‐Gueutin. Mathieu Rousseau‐Gueutin 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 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 21 | |
| 6 | 24 | |
| 7 | 22 | |
| 8 | 82 | |
| 9 | 12 | |
| 10 | 22 | |
| 11 | 30 | |
| 12 | 10 | |
| 13 | 16 | |
| 14 | 33 | |
| 15 | 58 | |
| 16 | 92 | |
| 17 | 65 | |
| 18 | 6 | |
| 19 | 131 | |
| 20 | 122 |
About Mathieu Rousseau‐Gueutin
Mathieu Rousseau‐Gueutin is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (22 papers), Plant Disease Resistance and Genetics (12 papers) and Genomics and Phylogenetic Studies (11 papers). The work is most often cited by research in Plant Science (975 citations), Ecology, Evolution, Behavior and Systematics (273 citations) and Molecular Biology (845 citations). Mathieu Rousseau‐Gueutin has collaborated with scholars based in France, Australia and Germany. Frequent co-authors include Anne‐Marie Chèvre, Béatrice Denoyes-Rothan, Abdelkader Aïnouche, Armel Salmon, Jérôme Morice, Malika L. Aïnouche, Amélia Gaston, Julie Ferreira de Carvalho, Jeremy N. Timmis and Julien Boutte. Their work appears in journals such as PLANT PHYSIOLOGY, Biochemical Journal and Genetics.
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.