Vincent Gache
Impact in
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
- Aging top 10%
Papers in
-
- Nuclear Structure and Function 11
- Muscle Physiology and Disorders 9
- RNA Research and Splicing 3
- Cell Biology 17
- Microtubule and mitosis dynamics 8
- melanin and skin pigmentation 5
- Cellular Mechanics and Interactions 5
- Co-authors
- Edgar R. Gomes (8 shared papers)Bruno Cadot (6 shared papers)Mary K. Baylies (1 shared paper)Eric S. Folker (1 shared paper)Brian E. Richardson (1 shared paper)Sestina Falcone (2 shared papers)Leticia Peris (1 shared paper)Didier Job (1 shared paper)
- Journals
- Animal Genetics (8 papers)Molecular Biology of the Cell (2 papers)PLoS ONE (2 papers)Nucleus (2 papers)eLife (2 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Vincent Gache
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 101
- Cell Biology 444
- Aging 25
- Molecular Biology 877
- Cellular and Molecular Neuroscience 129
- Cardiology and Cardiovascular Medicine 127
Countries citing papers authored by Vincent Gache
This map shows the geographic impact of Vincent Gache'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 Vincent Gache with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Gache more than expected).
Fields of papers citing papers by Vincent Gache
This network shows the impact of papers produced by Vincent Gache. 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 Vincent Gache. The network helps show where Vincent Gache may publish in the future.
Co-authors
The 25 scholars most cited alongside Vincent Gache, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 209 | |
| 2 | 2005 | 151 | |
| 3 | 2012 | 126 | |
| 4 | 2012 | 97 | |
| 5 | 2015 | 95 | |
| 6 | 2014 | 86 | |
| 7 | 2015 | 56 | |
| 8 | 2021 | 43 | |
| 9 | 2016 | 38 | |
| 10 | 2010 | 37 | |
| 11 | 2017 | 36 | |
| 12 | 2020 | 36 | |
| 13 | 2018 | 35 | |
| 14 | 2020 | 25 | |
| 15 | 2004 | 23 | |
| 16 | 2018 | 16 | |
| 17 | 2018 | 11 | |
| 18 | 2021 | 11 | |
| 19 | 2023 | 8 | |
| 20 | 2007 | 7 |
About Vincent Gache
Vincent Gache is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Genetics and Surgery, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nuclear Structure and Function (11 papers), Muscle Physiology and Disorders (9 papers), Microtubule and mitosis dynamics (8 papers), melanin and skin pigmentation (5 papers), Cellular Mechanics and Interactions (5 papers), Genetic Neurodegenerative Diseases (4 papers), RNA Research and Splicing (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). The work is most often cited by research in Cell Biology (444 citations), Aging (25 citations), Molecular Biology (877 citations), Cellular and Molecular Neuroscience (129 citations) and Cardiology and Cardiovascular Medicine (127 citations). Vincent Gache has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Edgar R. Gomes, Bruno Cadot, Mary K. Baylies, Eric S. Folker, Brian E. Richardson, Sestina Falcone, Leticia Peris, Didier Job, I. Garcia-Saez and Céline Juillan‐Binard. Their work appears in journals such as Animal Genetics, Molecular Biology of the Cell, PLoS ONE, Nucleus and eLife.
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.