Matthieu Legendre
- Ecology top 1%
- Molecular Biology top 5%
- Plant Science top 1%
- Endocrinology top 0.5%
- Genetics top 5%
- Co-authors
- Chantal AbergelJean‐Michel ClaverieKevin J. VerstrepenMarcelo D. VincesRita GemayelDaniel GautheretDefne ArslanVirginie Seltzer
- Topics
- Bacteriophages and microbial interactions (25 papers)Plant Virus Research Studies (15 papers)Plant and Fungal Interactions Research (13 papers)
- Cited by
- EndocrinologyEcologyPlant Science
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Matthieu Legendre
40 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Ecology 1.8k
- Molecular Biology 1.7k
- Plant Science 1.4k
- Endocrinology 576
- Genetics 534
Countries citing papers authored by Matthieu Legendre
This map shows the geographic impact of Matthieu Legendre'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 Legendre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Legendre more than expected).
Fields of papers citing papers by Matthieu Legendre
This network shows the impact of papers produced by Matthieu Legendre. 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 Legendre. The network helps show where Matthieu Legendre may publish in the future.
Co-authorship network of co-authors of Matthieu Legendre
This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Legendre. A scholar is included among the top collaborators of Matthieu Legendre 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 Matthieu Legendre. Matthieu Legendre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 30 | |
| 5 | 18 | |
| 6 | 29 | |
| 7 | 28 | |
| 8 | 28 | |
| 9 | 97 | |
| 10 | 56 | |
| 11 | Thirty-thousand-year-old distant relative of giant icosahedral DNA viruses with a pandoravirus morphologybreakdown → | 344 |
| 12 | Pandoraviruses: Amoeba Viruses with Genomes Up to 2.5 Mb Reaching That of Parasitic Eukaryotesbreakdown → | 413 |
| 13 | 242 | |
| 14 | 97 | |
| 15 | 71 | |
| 16 | 114 | |
| 17 | 280 | |
| 18 | 15 | |
| 19 | 62 | |
| 20 | Similarities and differences between DNA of Cryptosporidium parvum and C. wrairi detected by the polymerase chain reaction. | 15 |
About Matthieu Legendre
Matthieu Legendre is a scholar working on Endocrinology, Ecology and Parasitology, having authored 40 papers that have together received 3.8k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (25 papers), Plant Virus Research Studies (15 papers) and Plant and Fungal Interactions Research (13 papers). The work is most often cited by research in Endocrinology (576 citations), Ecology (1.8k citations) and Plant Science (1.4k citations). Matthieu Legendre has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Chantal Abergel, Jean‐Michel Claverie, Kevin J. Verstrepen, Marcelo D. Vinces, Rita Gemayel, Daniel Gautheret, Defne Arslan, Virginie Seltzer, Yohann Couté and Magali Lescot. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.