Ginette Devilliers
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Lipid Membrane Structure and Behavior 6
- Receptor Mechanisms and Signaling 2
-
- Cellular transport and secretion 6
- Co-authors
- Dominique Aunis (2 shared papers)Jean Meury (1 shared paper)Bernard Mouillac (2 shared papers)Gilles Guillon (2 shared papers)Marie‐Noëlle Balestre (1 shared paper)John E. Hesketh (1 shared paper)Sjur Olsnes (1 shared paper)Emmanuel Lemichez (1 shared paper)
- Journals
- Biology of the Cell (4 papers)FEBS Letters (2 papers)Molecular Microbiology (1 paper)Neurochemical Research (1 paper)Brain Research (1 paper)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Ginette Devilliers
23 papers receiving 598 citations
Peers
Comparison fields: 5 of 79
- Cell Biology 169
- Developmental Neuroscience 35
- Endocrinology 32
- Molecular Biology 430
- Physiology 26
Countries citing papers authored by Ginette Devilliers
This map shows the geographic impact of Ginette Devilliers'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 Ginette Devilliers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ginette Devilliers more than expected).
Fields of papers citing papers by Ginette Devilliers
This network shows the impact of papers produced by Ginette Devilliers. 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 Ginette Devilliers. The network helps show where Ginette Devilliers may publish in the future.
Co-authors
The 25 scholars most cited alongside Ginette Devilliers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 99 | |
| 2 | 1998 | 78 | |
| 3 | 1986 | 59 | |
| 4 | 1995 | 56 | |
| 5 | 1979 | 46 | |
| 6 | 1980 | 45 | |
| 7 | 1999 | 45 | |
| 8 | 1980 | 35 | |
| 9 | 1992 | 29 | |
| 10 | 1996 | 23 | |
| 11 | 1989 | 21 | |
| 12 | 1983 | 18 | |
| 13 | 1978 | 17 | |
| 14 | 1990 | 13 | |
| 15 | 1981 | 7 | |
| 16 | 1992 | 6 | |
| 17 | 1980 | 5 | |
| 18 | 2004 | 4 | |
| 19 | 1983 | 4 | |
| 20 | 1982 | 4 |
About Ginette Devilliers
Ginette Devilliers is a scholar working on Molecular Biology, Cell Biology, Surgery, Cellular and Molecular Neuroscience and Physiology, having authored 23 papers that have together received 622 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (6 papers), Cellular transport and secretion (6 papers), Neuroscience and Neuropharmacology Research (3 papers), Pancreatic function and diabetes (2 papers), Receptor Mechanisms and Signaling (2 papers), Neuroendocrine regulation and behavior (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Cell Biology (169 citations), Developmental Neuroscience (35 citations), Endocrinology (32 citations), Molecular Biology (430 citations) and Physiology (26 citations). Ginette Devilliers has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Dominique Aunis, Jean Meury, Bernard Mouillac, Gilles Guillon, Marie‐Noëlle Balestre, John E. Hesketh, Sjur Olsnes, Emmanuel Lemichez, Morgane Bomsel and Patrice Boquet. Their work appears in journals such as Biology of the Cell, FEBS Letters, Molecular Microbiology, Neurochemical Research and Brain 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.