Stéphane Guindon
Impact in
- Ecology top 0.05%
- Microbial Community Ecology and Physiology
-
- Plant and animal studies
Papers in
- Paleontology 14
- Evolution and Paleontology Studies 13
- Genetics 23
- Genetic diversity and population structure 21
- Evolution and Genetic Dynamics 9
- Co-authors
- Olivier GascuelJean-François DufayardVincent LefortMaria AnisimovaWim HordijkSimon Y. W. HoRobert LanfearBrett Calcott
- Journals
- Molecular Biology and Evolution (7 papers)Systematic Biology (5 papers)Proceedings of the National Academy of Sciences (4 papers)Theoretical Population Biology (3 papers)Virus Evolution (2 papers)
- Partner nations
- FranceNew ZealandUnited States
In The Last Decade
Stéphane Guindon
39 papers receiving 39.1k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Ecology 10.0k
- Ecology, Evolution, Behavior and Systematics 7.3k
- Paleontology 2.5k
- Ecological Modeling 1.3k
- Genetics 8.3k
Countries citing papers authored by Stéphane Guindon
This map shows the geographic impact of Stéphane Guindon'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 Stéphane Guindon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Guindon more than expected).
Fields of papers citing papers by Stéphane Guindon
This network shows the impact of papers produced by Stéphane Guindon. 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 Stéphane Guindon. The network helps show where Stéphane Guindon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stéphane Guindon, 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 | 2024 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 46 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 9 | |
| 10 | 2016 | 16 | |
| 11 | 2015 | 25 | |
| 12 | 2015 | 22 | |
| 13 | 2013 | 32 | |
| 14 | Estimating Maximum Likelihood Phylogenies with PhyML Hit paper breakdown → | 2009 | 642 |
| 15 | Phylogeny.fr: robust phylogenetic analysis for the non-specialist Hit paper breakdown → | 2008 | 3840 |
| 16 | 2008 | 3 | |
| 17 | 2007 | 23 | |
| 18 | 2006 | 10 | |
| 19 | A Simple, Fast, and Accurate Algorithm to Estimate Large Phylogenies by Maximum Likelihood Hit paper breakdown → | 2003 | 14535 |
| 20 | 2002 | 33 |
About Stéphane Guindon
Stéphane Guindon is a scholar working on Paleontology, Genetics, Hepatology, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 39 papers that have together received 39.8k indexed citations. Recurring topics across this work include Genetic diversity and population structure (21 papers), Genomics and Phylogenetic Studies (19 papers), Evolution and Paleontology Studies (13 papers), Evolution and Genetic Dynamics (9 papers), Plant and animal studies (4 papers), Ecology and Vegetation Dynamics Studies (3 papers), Hepatitis B Virus Studies (3 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Ecology (10.0k citations), Ecology, Evolution, Behavior and Systematics (7.3k citations), Paleontology (2.5k citations), Ecological Modeling (1.3k citations) and Genetics (8.3k citations). Stéphane Guindon has collaborated with scholars based in France, New Zealand and United States. Frequent co-authors include Olivier Gascuel, Jean-François Dufayard, Vincent Lefort, Maria Anisimova, Wim Hordijk, Simon Y. W. Ho, Robert Lanfear, Brett Calcott, François Chevenet and Stéphane Audic. Their work appears in journals such as Molecular Biology and Evolution, Systematic Biology, Proceedings of the National Academy of Sciences, Theoretical Population Biology and Virus Evolution.
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.