Aurélie Chambon
- Plant Science top 5%
- Chromosomal and Genetic Variations 4
- Molecular Biology top 10%
- DNA Repair Mechanisms 11
- Photosynthetic Processes and Mechanisms 8
- Genomics and Chromatin Dynamics 3
- Cancer therapeutics and mechanisms 2
- Mitochondrial Function and Pathology 2
- Nuclear Structure and Function 1
- Cell Biology top 10%
- Microtubule and mitosis dynamics 5
- Co-authors
- Mathilde GrelonDaniel VezonLiudmila ChelyshevaLucie PereiraNathalie VrielynckArnaud De MuytGhislaine GendrotRaphaël Mercier
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (1 paper)
- Partner nations
- FranceGermanyUnited Kingdom
In The Last Decade
Aurélie Chambon
18 papers receiving 826 citations
Peers
Comparison fields: 5 of 41
- Plant Science 456
- Molecular Biology 723
- Cell Biology 124
- Aging 13
- Genetics 90
Countries citing papers authored by Aurélie Chambon
This map shows the geographic impact of Aurélie Chambon'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 Aurélie Chambon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélie Chambon more than expected).
Fields of papers citing papers by Aurélie Chambon
This network shows the impact of papers produced by Aurélie Chambon. 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 Aurélie Chambon. The network helps show where Aurélie Chambon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aurélie Chambon, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 7 | |
| 7 | 2021 | 33 | |
| 8 | 2021 | 116 | |
| 9 | 2020 | 6 | |
| 10 | 2018 | 49 | |
| 11 | 2018 | 15 | |
| 12 | 2016 | 181 | |
| 13 | 2014 | 42 | |
| 14 | 2012 | 176 | |
| 15 | 2011 | 37 | |
| 16 | 2009 | 137 | |
| 17 | [Triploidy in the child. I. Study of phenotype. An observation of triploidy with mosaicism 46, XX/69, XXY]. | 1976 | 6 |
| 18 | [Triploidy in the child. II. Evaluation of data on genotype and pathogenesis]. | 1975 | 1 |
About Aurélie Chambon
Aurélie Chambon is a scholar working on Cell Biology, Molecular Biology and Plant Science, having authored 18 papers that have together received 831 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (11 papers), Photosynthetic Processes and Mechanisms (8 papers), Microtubule and mitosis dynamics (5 papers), Chromosomal and Genetic Variations (4 papers), Genomics and Chromatin Dynamics (3 papers), Cancer therapeutics and mechanisms (2 papers), Mitochondrial Function and Pathology (2 papers) and Nuclear Structure and Function (1 paper). The work is most often cited by research in Plant Science (456 citations), Molecular Biology (723 citations) and Cell Biology (124 citations). Aurélie Chambon has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Mathilde Grelon, Daniel Vezon, Liudmila Chelysheva, Lucie Pereira, Nathalie Vrielynck, Arnaud De Muyt, Ghislaine Gendrot, Raphaël Mercier, Christine Mézard and Claudine Mayer. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.