Simon Guiraud
Impact in
- Rehabilitation top 5%
- Exercise and Physiological Responses
- Aging top 10%
Papers in
-
- Muscle Physiology and Disorders 13
- CRISPR and Genetic Engineering 2
-
- Nerve injury and regeneration 4
- Genetic Neurodegenerative Diseases 2
- Co-authors
- Kay E. Davies (10 shared papers)Gert‐Jan B. van Ommen (1 shared paper)Annemieke Aartsma‐Rus (1 shared paper)Louis M. Kunkel (1 shared paper)Natássia M. Vieira (1 shared paper)Sarah Squire (8 shared papers)Benjamin Edwards (7 shared papers)Arran Babbs (7 shared papers)
- Journals
- Human Molecular Genetics (3 papers)Neuromuscular Disorders (2 papers)Scientific Reports (1 paper)Current Opinion in Pharmacology (1 paper)Macromolecular Bioscience (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Simon Guiraud
18 papers receiving 768 citations
Peers
Comparison fields: 5 of 76
- Rehabilitation 80
- Aging 19
- Molecular Biology 689
- Genetics 75
- Cell Biology 96
Countries citing papers authored by Simon Guiraud
This map shows the geographic impact of Simon Guiraud'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 Simon Guiraud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Guiraud more than expected).
Fields of papers citing papers by Simon Guiraud
This network shows the impact of papers produced by Simon Guiraud. 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 Simon Guiraud. The network helps show where Simon Guiraud may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Guiraud, 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 | 2015 | 236 | |
| 2 | 2017 | 118 | |
| 3 | 2015 | 67 | |
| 4 | 2015 | 54 | |
| 5 | 2019 | 34 | |
| 6 | 2018 | 34 | |
| 7 | 2024 | 34 | |
| 8 | 2017 | 30 | |
| 9 | 2018 | 29 | |
| 10 | 2017 | 28 | |
| 11 | 2018 | 23 | |
| 12 | 2019 | 21 | |
| 13 | 2008 | 20 | |
| 14 | 2020 | 15 | |
| 15 | 2012 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2011 | 11 | |
| 18 | 2017 | 1 |
About Simon Guiraud
Simon Guiraud is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Rehabilitation, Genetics and Biomaterials, having authored 18 papers that have together received 782 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (13 papers), Exercise and Physiological Responses (5 papers), Nerve injury and regeneration (4 papers), Virus-based gene therapy research (4 papers), Silk-based biomaterials and applications (4 papers), Viral Infections and Immunology Research (2 papers), CRISPR and Genetic Engineering (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Rehabilitation (80 citations), Aging (19 citations), Molecular Biology (689 citations), Genetics (75 citations) and Cell Biology (96 citations). Simon Guiraud has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Kay E. Davies, Gert‐Jan B. van Ommen, Annemieke Aartsma‐Rus, Louis M. Kunkel, Natássia M. Vieira, Sarah Squire, Benjamin Edwards, Arran Babbs, D T Burns and Lee Moir. Their work appears in journals such as Human Molecular Genetics, Neuromuscular Disorders, Scientific Reports, Current Opinion in Pharmacology and Macromolecular Bioscience.
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.