Cindy Maurel
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
-
- Ubiquitin and proteasome pathways 2
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Epigenetics and DNA Methylation 1
- Genetics 4
- Neurogenetic and Muscular Disorders Research 4
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Emily K. Don (4 shared papers)Marco Morsch (4 shared papers)Rowan A. W. Radford (4 shared papers)Roger S. Chung (4 shared papers)Albert Lee (4 shared papers)Natalie M. Scherer (4 shared papers)Andrés Vidal-Itriago (3 shared papers)Manuel B. Graeber (1 shared paper)
- Journals
- Molecular Neurobiology (3 papers)Genes (1 paper)iScience (1 paper)Nucleic Acids Research (1 paper)Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration (1 paper)
- Partner nations
- FranceAustraliaUnited States
In The Last Decade
Cindy Maurel
8 papers receiving 336 citations
Cindy Maurel's Hit Papers
Peers
Comparison fields: 5 of 63
- Neurology 158
- Biological Psychiatry 37
- Neurology 91
- Behavioral Neuroscience 21
- Developmental Neuroscience 22
Countries citing papers authored by Cindy Maurel
This map shows the geographic impact of Cindy Maurel'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 Cindy Maurel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cindy Maurel more than expected).
Fields of papers citing papers by Cindy Maurel
This network shows the impact of papers produced by Cindy Maurel. 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 Cindy Maurel. The network helps show where Cindy Maurel may publish in the future.
Co-authors
The 25 scholars most cited alongside Cindy Maurel, 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 | Microglia morphophysiological diversity and its implications for the CNS Hit paper breakdown → | 2022 | 219 |
| 2 | 2018 | 57 | |
| 3 | 2019 | 26 | |
| 4 | 2024 | 12 | |
| 5 | 2017 | 12 | |
| 6 | 2021 | 11 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 1 |
About Cindy Maurel
Cindy Maurel is a scholar working on Molecular Biology, Genetics, Neurology, Neurology and Immunology, having authored 8 papers that have together received 339 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (4 papers), Neurogenetic and Muscular Disorders Research (4 papers), Ubiquitin and proteasome pathways (2 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Epigenetics and DNA Methylation (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Neurology (158 citations), Biological Psychiatry (37 citations), Neurology (91 citations), Behavioral Neuroscience (21 citations) and Developmental Neuroscience (22 citations). Cindy Maurel has collaborated with scholars based in France, Australia and United States. Frequent co-authors include Emily K. Don, Marco Morsch, Rowan A. W. Radford, Roger S. Chung, Albert Lee, Natalie M. Scherer, Andrés Vidal-Itriago, Manuel B. Graeber, Hélène Blasco and Patrick Vourc’h. Their work appears in journals such as Molecular Neurobiology, Genes, iScience, Nucleic Acids Research and Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration.
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.