K. Rérat

410 citations
12 papers · 290 · h-index 8

Impact in

Papers in

    • Parkinson's Disease Mechanisms and Treatments 5
    • Neurological disorders and treatments 4
    • Botulinum Toxin and Related Neurological Disorders 2
    • Multiple Sclerosis Research Studies 3

K. Rérat

12 papers receiving 283 citations

Peers

K. Rérat
Comparison fields: 5 of 53
  • Cognitive Neuroscience 140
  • Genetics 153
  • Neurology 65
  • Cellular and Molecular Neuroscience 43
  • Molecular Biology 130
Replace Miriam Kessi with:
Miriam Kessi China
Aaron D. Besterman United States
Wout H. Deelen Netherlands
Inês Carrilho Portugal
Caroline A. Montojo United States
Mahesh Mundalil Vasu Japan
Natalie A. Pride Australia
Maria Teresa Dotti Italy
Dmitriy Niyazov United States
Bàrbara Torrico Spain
K. Rérat relative to Miriam Kessi China Miriam Kessi's profile →
Citations per field
00.5×9.7×
Miriam Kessi · 1×
Citations per year

Countries citing papers authored by K. Rérat

Since Specialization
Citations

This map shows the geographic impact of K. 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 K. Rérat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Rérat more than expected).

Fields of papers citing papers by K. Rérat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. 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 K. Rérat. The network helps show where K. Rérat may publish in the future.

Co-authors

The 25 scholars most cited alongside K. Rérat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K. Rérat Line = papers co-authored together K. Rérat links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2016185
2 199824
3 201118
4 201717
5 201210
6 20088
7 20168
8 20088
9 20156
10 20083
11 20132
12 20201

About K. Rérat

K. Rérat is a scholar working on Neurology, Pathology and Forensic Medicine, Cognitive Neuroscience, Molecular Biology and Oncology, having authored 12 papers that have together received 290 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Neurological disorders and treatments (4 papers), Multiple Sclerosis Research Studies (3 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Autism Spectrum Disorder Research (2 papers), Polyomavirus and related diseases (2 papers), Meningioma and schwannoma management (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cognitive Neuroscience (140 citations), Genetics (153 citations), Neurology (65 citations), Cellular and Molecular Neuroscience (43 citations) and Molecular Biology (130 citations). K. Rérat has collaborated with scholars based in France, Switzerland and Czechia. Frequent co-authors include Randi J. Hagerman, George Apostol, Liansheng Zhu, Sébastien Jacquemont, Gottfried Maria Barth, Perrine Charles, Jeannie Visootsak, Florian von Raison, Barbara Koumaras and Vincent des Portes. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Science Translational Medicine, Amyloid, European Journal of Neurology and Multiple Sclerosis Journal.

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.

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