Olivier Tastet
- Immunology
- Neurology top 10%
- Molecular Biology
- Pathology and Forensic Medicine
- Cardiology and Cardiovascular Medicine
- Co-authors
- Alexandre PratNathalie ArbourCatherine LarochelleRobert AvramJulie HussinNathalie BrassardDaniel E. KaufmannMathieu Dubé
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (8 papers)Single-cell and spatial transcriptomics (5 papers)Multiple Sclerosis Research Studies (4 papers)
- Cited by
- Health InformaticsNeurologyVirology
- Journals
- Proceedings of the National Academy of SciencesGastroenterologyJournal of the American College of Cardiology
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Olivier Tastet
28 papers receiving 336 citations
Peers
Comparison fields: 5 of 72
- Immunology 106
- Neurology 78
- Molecular Biology 59
- Pathology and Forensic Medicine 47
- Cardiology and Cardiovascular Medicine 40
Countries citing papers authored by Olivier Tastet
This map shows the geographic impact of Olivier Tastet'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 Olivier Tastet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Tastet more than expected).
Fields of papers citing papers by Olivier Tastet
This network shows the impact of papers produced by Olivier Tastet. 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 Olivier Tastet. The network helps show where Olivier Tastet may publish in the future.
Co-authorship network of co-authors of Olivier Tastet
This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Tastet. A scholar is included among the top collaborators of Olivier Tastet 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 Olivier Tastet. Olivier Tastet 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 | 1 | |
| 3 | 10 | |
| 4 | 17 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 33 | |
| 13 | 12 | |
| 14 | 4 | |
| 15 | 0 | |
| 16 | 13 | |
| 17 | 13 | |
| 18 | 11 | |
| 19 | 5 | |
| 20 | 9 |
About Olivier Tastet
Olivier Tastet is a scholar working on Health Informatics, Neurology and Virology, having authored 30 papers that have together received 338 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Single-cell and spatial transcriptomics (5 papers) and Multiple Sclerosis Research Studies (4 papers). The work is most often cited by research in Health Informatics (26 citations), Neurology (78 citations) and Virology (33 citations). Olivier Tastet has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Alexandre Prat, Nathalie Arbour, Catherine Larochelle, Robert Avram, Julie Hussin, Nathalie Brassard, Daniel E. Kaufmann, Mathieu Dubé, Jack P. Antel and Qiao‐Ling Cui. Their work appears in journals such as Proceedings of the National Academy of Sciences, Gastroenterology and Journal of the American College of Cardiology.
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.