Christian Parisod
- Plant Science top 1%
- Chromosomal and Genetic Variations 32
- Plant Disease Resistance and Genetics 15
- Wheat and Barley Genetics and Pathology 9
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- Plant and animal studies 10
- Plant Taxonomy and Phylogenetics 8
- Ecological Modeling top 5%
- Species Distribution and Climate Change 8
- Genetics top 2%
- Genetic diversity and population structure 24
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- Genomics and Phylogenetic Studies 19
- Co-authors
- Rolf HoldereggerChristian BrochmannMarie‐Angéle GrandbastienMalika L. AïnoucheAlexandre TayaléGuillaume BesnardFrançois FelberArmel Salmon
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)PLoS ONE (3 papers)
- Partner nations
- SwitzerlandFranceUnited Kingdom
In The Last Decade
Christian Parisod
69 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Plant Science 2.0k
- Ecology, Evolution, Behavior and Systematics 816
- Ecological Modeling 152
- Genetics 852
- Nature and Landscape Conservation 256
Countries citing papers authored by Christian Parisod
This map shows the geographic impact of Christian Parisod'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 Christian Parisod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Parisod more than expected).
Fields of papers citing papers by Christian Parisod
This network shows the impact of papers produced by Christian Parisod. 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 Christian Parisod. The network helps show where Christian Parisod may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christian Parisod, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 0 | |
| 9 | 2021 | 33 | |
| 10 | 2019 | 55 | |
| 11 | 2019 | 18 | |
| 12 | 2018 | 20 | |
| 13 | 2013 | 122 | |
| 14 | 2013 | 22 | |
| 15 | 2011 | 15 | |
| 16 | 2011 | 32 | |
| 17 | Evolutionary consequences of autopolyploidybreakdown → | 2010 | 542 |
| 18 | 2010 | 58 | |
| 19 | 2009 | 193 | |
| 20 | 2008 | 37 |
About Christian Parisod
Christian Parisod is a scholar working on Ecological Modeling, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 74 papers that have together received 2.9k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (32 papers), Genetic diversity and population structure (24 papers), Genomics and Phylogenetic Studies (19 papers), Plant Disease Resistance and Genetics (15 papers), Plant and animal studies (10 papers), Wheat and Barley Genetics and Pathology (9 papers), Species Distribution and Climate Change (8 papers) and Plant Taxonomy and Phylogenetics (8 papers). The work is most often cited by research in Plant Science (2.0k citations), Ecology, Evolution, Behavior and Systematics (816 citations) and Ecological Modeling (152 citations). Christian Parisod has collaborated with scholars based in Switzerland, France and United Kingdom. Frequent co-authors include Rolf Holderegger, Christian Brochmann, Marie‐Angéle Grandbastien, Malika L. Aïnouche, Alexandre Tayalé, Guillaume Besnard, François Felber, Armel Salmon, Catarina Fonseca Lira and Paulo Cavalcanti Gomes Ferreira. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.