Matthias Benoit
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Chromosomal and Genetic Variations
- Plant Virus Research Studies
- Plant nutrient uptake and metabolism
-
- Genomics and Chromatin Dynamics
- Plant Reproductive Biology
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
Papers in
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- Chromosomal and Genetic Variations 7
- Plant Molecular Biology Research 6
- Plant Virus Research Studies 5
- Genetics and Plant Breeding 2
-
- Genomics and Chromatin Dynamics 5
- Plant Reproductive Biology 2
- Genomics and Phylogenetic Studies 2
- Co-authors
- Zachary B. Lippman (3 shared papers)Aline V. Probst (5 shared papers)Axel Poulet (4 shared papers)Céline Duc (4 shared papers)Anat Hendelman (2 shared papers)Christophe Tatout (4 shared papers)Hajk‐Georg Drost (3 shared papers)Xingang Wang (1 shared paper)
- Journals
- The Plant Cell (4 papers)Nature Plants (2 papers)Gene (1 paper)Journal of Cell Science (1 paper)Annual Review of Genetics (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Matthias Benoit
13 papers receiving 453 citations
Peers
Comparison fields: 5 of 48
- Plant Science 356
- Molecular Biology 332
- Genetics 37
- Aging 2
- Horticulture 1
Countries citing papers authored by Matthias Benoit
This map shows the geographic impact of Matthias Benoit'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 Matthias Benoit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Benoit more than expected).
Fields of papers citing papers by Matthias Benoit
This network shows the impact of papers produced by Matthias Benoit. 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 Matthias Benoit. The network helps show where Matthias Benoit may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthias Benoit, 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 | 2021 | 99 | |
| 2 | 2017 | 62 | |
| 3 | 2019 | 54 | |
| 4 | 2015 | 48 | |
| 5 | 2017 | 41 | |
| 6 | 2018 | 36 | |
| 7 | 2018 | 34 | |
| 8 | 2013 | 22 | |
| 9 | 2020 | 21 | |
| 10 | 2022 | 20 | |
| 11 | 2021 | 10 | |
| 12 | 2024 | 7 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 0 |
About Matthias Benoit
Matthias Benoit is a scholar working on Plant Science, Molecular Biology, Genetics, Agronomy and Crop Science and Complementary and alternative medicine, having authored 14 papers that have together received 456 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (7 papers), Plant Molecular Biology Research (6 papers), Genomics and Chromatin Dynamics (5 papers), Plant Virus Research Studies (5 papers), Plant Reproductive Biology (2 papers), Genomics and Phylogenetic Studies (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Genetics and Plant Breeding (2 papers). The work is most often cited by research in Plant Science (356 citations), Molecular Biology (332 citations), Genetics (37 citations), Aging (2 citations) and Horticulture (1 citation). Matthias Benoit has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Zachary B. Lippman, Aline V. Probst, Axel Poulet, Céline Duc, Anat Hendelman, Christophe Tatout, Hajk‐Georg Drost, Xingang Wang, Daniel Rodríguez-Leal and Marco Catoni. Their work appears in journals such as The Plant Cell, Nature Plants, Gene, Journal of Cell Science and Annual Review of 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.