Ingrid Chamma
Impact in
- Structural Biology top 5%
-
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
Papers in
-
- Lipid Membrane Structure and Behavior 6
- Ion channel regulation and function 3
-
- Neuroscience and Neuropharmacology Research 11
- Photoreceptor and optogenetics research 3
- Co-authors
- Olivier Thoumine (14 shared papers)Jean Christophe Poncer (3 shared papers)Sabine Lévi (3 shared papers)Matthieu Sainlos (11 shared papers)Jean‐Baptiste Sibarita (3 shared papers)Daniel Choquet (6 shared papers)Quentin Chevy (2 shared papers)Béatrice Tessier (5 shared papers)
- Journals
- Nature Communications (5 papers)eLife (2 papers)Neuropharmacology (1 paper)Cell Reports (1 paper)Scientific Reports (1 paper)
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Ingrid Chamma
19 papers receiving 844 citations
Peers
Comparison fields: 5 of 73
- Structural Biology 51
- Cellular and Molecular Neuroscience 526
- Biophysics 143
- Cell Biology 170
- Developmental Neuroscience 40
Countries citing papers authored by Ingrid Chamma
This map shows the geographic impact of Ingrid Chamma'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 Ingrid Chamma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingrid Chamma more than expected).
Fields of papers citing papers by Ingrid Chamma
This network shows the impact of papers produced by Ingrid Chamma. 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 Ingrid Chamma. The network helps show where Ingrid Chamma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ingrid Chamma, 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 | 2012 | 143 | |
| 2 | 2016 | 117 | |
| 3 | 2014 | 106 | |
| 4 | 2011 | 99 | |
| 5 | 2013 | 88 | |
| 6 | 2015 | 63 | |
| 7 | 2018 | 44 | |
| 8 | 2017 | 28 | |
| 9 | 2016 | 26 | |
| 10 | 2022 | 21 | |
| 11 | 2019 | 19 | |
| 12 | 2019 | 19 | |
| 13 | 2020 | 19 | |
| 14 | 2016 | 16 | |
| 15 | 2018 | 13 | |
| 16 | 2019 | 13 | |
| 17 | 2024 | 10 | |
| 18 | 2024 | 2 | |
| 19 | 2021 | 2 |
About Ingrid Chamma
Ingrid Chamma is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biophysics, Atomic and Molecular Physics, and Optics and Cell Biology, having authored 19 papers that have together received 848 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Lipid Membrane Structure and Behavior (6 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Ion channel regulation and function (3 papers), Force Microscopy Techniques and Applications (3 papers), Photoreceptor and optogenetics research (3 papers), Neural dynamics and brain function (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Structural Biology (51 citations), Cellular and Molecular Neuroscience (526 citations), Biophysics (143 citations), Cell Biology (170 citations) and Developmental Neuroscience (40 citations). Ingrid Chamma has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Olivier Thoumine, Jean Christophe Poncer, Sabine Lévi, Matthieu Sainlos, Jean‐Baptiste Sibarita, Daniel Choquet, Quentin Chevy, Béatrice Tessier, Mathieu Letellier and Grégory Giannone. Their work appears in journals such as Nature Communications, eLife, Neuropharmacology, Cell Reports and Scientific Reports.
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.