Vincent Guillemot
- Molecular Biology
- Genetics
- Neurology top 10%
- Cognitive Neuroscience
- Cellular and Molecular Neuroscience
- Co-authors
- Cathy PhilippeVincent FrouinKim‐Anh Lê CaoArthur TenenhausJacques GrillIvan MoszerDaniel WeintraubAlexis Brice
- Topics
- Genetic Associations and Epidemiology (6 papers)Bioinformatics and Genomic Networks (5 papers)Gene expression and cancer classification (4 papers)
- Cited by
- Developmental NeuroscienceNeurology
- Journals
- Proceedings of the National Academy of SciencesNature GeneticsSHILAP Revista de lepidopterología
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Vincent Guillemot
20 papers receiving 578 citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 248
- Genetics 102
- Neurology 96
- Cognitive Neuroscience 65
- Cellular and Molecular Neuroscience 41
Countries citing papers authored by Vincent Guillemot
This map shows the geographic impact of Vincent Guillemot'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 Guillemot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Guillemot more than expected).
Fields of papers citing papers by Vincent Guillemot
This network shows the impact of papers produced by Vincent Guillemot. 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 Guillemot. The network helps show where Vincent Guillemot may publish in the future.
Co-authorship network of co-authors of Vincent Guillemot
This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Guillemot. A scholar is included among the top collaborators of Vincent Guillemot 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 Vincent Guillemot. Vincent Guillemot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 22 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 8 | |
| 7 | 19 | |
| 8 | 13 | |
| 9 | 8 | |
| 10 | 12 | |
| 11 | 10 | |
| 12 | 15 | |
| 13 | 7 | |
| 14 | 17 | |
| 15 | 46 | |
| 16 | 42 | |
| 17 | 92 | |
| 18 | 25 | |
| 19 | 144 | |
| 20 | 87 |
About Vincent Guillemot
Vincent Guillemot is a scholar working on Developmental Neuroscience, Virology and Genetics, having authored 22 papers that have together received 583 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (5 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Developmental Neuroscience (32 citations), Neurology (96 citations) and Neurology (40 citations). Vincent Guillemot has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Cathy Philippe, Vincent Frouin, Kim‐Anh Lê Cao, Arthur Tenenhaus, Jacques Grill, Arthur Tenenhaus, Ivan Moszer, Daniel Weintraub, Alexis Brice and Mike A. Nalls. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.
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.