Marie Chabbert
Impact in
-
- DNA and Nucleic Acid Chemistry
- Receptor Mechanisms and Signaling
- Lipid Membrane Structure and Behavior
- Protein Structure and Dynamics
- DNA Repair Mechanisms
Papers in
-
- Receptor Mechanisms and Signaling 12
- Protein Structure and Dynamics 10
- Machine Learning in Bioinformatics 6
- DNA and Nucleic Acid Chemistry 6
- Lipid Membrane Structure and Behavior 4
- Co-authors
- C.M. Gary-BoboJacques BolardChristian CazenaveClaude HélèneH. LamiHervé AbdiJulien ReyHugues Gascan
- Journals
- Biochemistry (7 papers)Journal of Biological Chemistry (5 papers)European Journal of Biochemistry (3 papers)PLoS Computational Biology (3 papers)PLoS ONE (2 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Marie Chabbert
46 papers receiving 894 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 591
- Immunology 129
- Dermatology 49
- Cellular and Molecular Neuroscience 98
- Biophysics 28
Countries citing papers authored by Marie Chabbert
This map shows the geographic impact of Marie Chabbert'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 Marie Chabbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Chabbert more than expected).
Fields of papers citing papers by Marie Chabbert
This network shows the impact of papers produced by Marie Chabbert. 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 Marie Chabbert. The network helps show where Marie Chabbert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marie Chabbert, 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 | 2023 | 2 | |
| 3 | 2020 | 9 | |
| 4 | 2018 | 16 | |
| 5 | 2016 | 17 | |
| 6 | 2016 | 27 | |
| 7 | 2015 | 0 | |
| 8 | 2013 | 1 | |
| 9 | 2012 | 14 | |
| 10 | 2005 | 52 | |
| 11 | 2004 | 25 | |
| 12 | 2003 | 60 | |
| 13 | 2003 | 49 | |
| 14 | 2002 | 12 | |
| 15 | 2000 | 16 | |
| 16 | 1997 | 5 | |
| 17 | 1997 | 17 | |
| 18 | 1995 | 7 | |
| 19 | 1995 | 12 | |
| 20 | 1989 | 15 |
About Marie Chabbert
Marie Chabbert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biophysics, Immunology and Oncology, having authored 48 papers that have together received 911 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Protein Structure and Dynamics (10 papers), Machine Learning in Bioinformatics (6 papers), DNA and Nucleic Acid Chemistry (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Enzyme Structure and Function (5 papers), Lipid Membrane Structure and Behavior (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Molecular Biology (591 citations), Immunology (129 citations), Dermatology (49 citations), Cellular and Molecular Neuroscience (98 citations) and Biophysics (28 citations). Marie Chabbert has collaborated with scholars based in France, United States and Italy. Frequent co-authors include C.M. Gary-Bobo, Jacques Bolard, Christian Cazenave, Claude Hélène, H. Lami, Hervé Abdi, Julien Rey, Hugues Gascan, Eric Lelièvre and Josy Froger. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, European Journal of Biochemistry, PLoS Computational Biology 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.