Karin Rérat
Impact in
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
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- Genetics and Neurodevelopmental Disorders
Papers in
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- Parkinson's Disease Mechanisms and Treatments 5
- Neurological disorders and treatments 3
- Botulinum Toxin and Related Neurological Disorders 2
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- Multiple Sclerosis Research Studies 3
- Co-authors
- Gottfried Maria Barth (1 shared paper)Randi Jenssen Hagerman (1 shared paper)Florian von Raison (1 shared paper)Vincent Des Portes (1 shared paper)Thomas Jaecklin (1 shared paper)Elizabeth Berry-Kravis (1 shared paper)George Apostol (1 shared paper)Jeannie Visootsak (1 shared paper)
In The Last Decade
Karin Rérat
13 papers receiving 324 citations
Peers
Comparison fields: 5 of 57
- Cognitive Neuroscience 127
- Genetics 170
- Neurology 61
- Cellular and Molecular Neuroscience 44
- Molecular Biology 134
Countries citing papers authored by Karin Rérat
This map shows the geographic impact of Karin Rérat'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 Karin Rérat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Rérat more than expected).
Fields of papers citing papers by Karin Rérat
This network shows the impact of papers produced by Karin Rérat. 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 Karin Rérat. The network helps show where Karin Rérat may publish in the future.
Co-authors
The 25 scholars most cited alongside Karin Rérat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 219 | |
| 2 | 1998 | 24 | |
| 3 | 2011 | 19 | |
| 4 | 2017 | 17 | |
| 5 | 2008 | 10 | |
| 6 | 2012 | 10 | |
| 7 | 2008 | 9 | |
| 8 | 2016 | 9 | |
| 9 | 1999 | 7 | |
| 10 | 2015 | 6 | |
| 11 | 2008 | 4 | |
| 12 | 2013 | 2 | |
| 13 | 2020 | 2 |
About Karin Rérat
Karin Rérat is a scholar working on Neurology, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience and General Health Professions, having authored 13 papers that have together received 338 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Multiple Sclerosis Research Studies (3 papers), Neurological disorders and treatments (3 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Autism Spectrum Disorder Research (2 papers), Health, Medicine and Society (1 paper), Sarcoidosis and Beryllium Toxicity Research (1 paper) and Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper). The work is most often cited by research in Cognitive Neuroscience (127 citations), Genetics (170 citations), Neurology (61 citations), Cellular and Molecular Neuroscience (44 citations) and Molecular Biology (134 citations). Karin Rérat has collaborated with scholars based in France, Canada and Sweden. Frequent co-authors include Gottfried Maria Barth, Randi Jenssen Hagerman, Florian von Raison, Vincent Des Portes, Thomas Jaecklin, Elizabeth Berry-Kravis, George Apostol, Jeannie Visootsak, Sébastien Jacquemont and Liansheng Zhu. Their work appears in journals such as Science Translational Medicine, Acta Neurologica Scandinavica, Journal of the Neurological Sciences, Value in Health and American Journal of Hematology.
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.