Martine Girard
- Molecular Biology top 10%
- Cell Biology top 1%
- Cellular and Molecular Neuroscience top 5%
- Physiology
- Neurology top 10%
- Co-authors
- Peter S. McPhersonF BlondeauBrigitte RitterValérie Legendre‐GuilleminPatrick D. AllaireSylwia WasiakAlexander W. BellDaniel Boismenu
- Topics
- Cellular transport and secretion (18 papers)Lipid Membrane Structure and Behavior (11 papers)Genetic Neurodegenerative Diseases (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Martine Girard
27 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 1.1k
- Cell Biology 803
- Cellular and Molecular Neuroscience 361
- Physiology 173
- Neurology 96
Countries citing papers authored by Martine Girard
This map shows the geographic impact of Martine Girard'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 Martine Girard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martine Girard more than expected).
Fields of papers citing papers by Martine Girard
This network shows the impact of papers produced by Martine Girard. 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 Martine Girard. The network helps show where Martine Girard may publish in the future.
Co-authorship network of co-authors of Martine Girard
This figure shows the co-authorship network connecting the top 25 collaborators of Martine Girard. A scholar is included among the top collaborators of Martine Girard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martine Girard. Martine Girard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 16 | |
| 3 | 54 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 68 | |
| 7 | 32 | |
| 8 | 50 | |
| 9 | 47 | |
| 10 | 14 | |
| 11 | 26 | |
| 12 | 5 | |
| 13 | 66 | |
| 14 | 67 | |
| 15 | 92 | |
| 16 | 253 | |
| 17 | 27 | |
| 18 | 68 | |
| 19 | 8 | |
| 20 | 9 |
About Martine Girard
Martine Girard is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (18 papers), Lipid Membrane Structure and Behavior (11 papers) and Genetic Neurodegenerative Diseases (5 papers). The work is most often cited by research in Cell Biology (803 citations), Cellular and Molecular Neuroscience (361 citations) and Molecular Biology (1.1k citations). Martine Girard has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Peter S. McPherson, F Blondeau, Brigitte Ritter, Valérie Legendre‐Guillemin, Patrick D. Allaire, Sylwia Wasiak, Alexander W. Bell, Daniel Boismenu, Viviane Poupon and Jacynthe Philie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.