Simon Guiraud

1.1k total citations
18 papers, 782 citations indexed

About

Simon Guiraud is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Rehabilitation. According to data from OpenAlex, Simon Guiraud has authored 18 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Rehabilitation. Recurrent topics in Simon Guiraud's work include Muscle Physiology and Disorders (13 papers), Exercise and Physiological Responses (5 papers) and Virus-based gene therapy research (4 papers). Simon Guiraud is often cited by papers focused on Muscle Physiology and Disorders (13 papers), Exercise and Physiological Responses (5 papers) and Virus-based gene therapy research (4 papers). Simon Guiraud collaborates with scholars based in United Kingdom, France and United States. Simon Guiraud's 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 and has published in prestigious journals such as Scientific Reports, Journal of Medicinal Chemistry and Human Molecular Genetics.

In The Last Decade

Simon Guiraud

18 papers receiving 768 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Simon Guiraud United Kingdom 15 689 153 135 108 97 18 782
Jaclyn P. Kerr United States 15 615 0.9× 70 0.5× 145 1.1× 132 1.2× 103 1.1× 19 783
James S. Novak United States 14 599 0.9× 69 0.5× 154 1.1× 81 0.8× 68 0.7× 21 678
Patryk Konieczny Poland 14 734 1.1× 111 0.7× 84 0.6× 116 1.1× 221 2.3× 20 873
J.G. Dickson United Kingdom 11 937 1.4× 193 1.3× 186 1.4× 150 1.4× 224 2.3× 22 1.1k
Hui Meng United States 17 593 0.9× 101 0.7× 105 0.8× 211 2.0× 106 1.1× 33 762
Nicolas Wein United States 17 639 0.9× 146 1.0× 80 0.6× 126 1.2× 87 0.9× 34 684
L M Kunkel United States 12 755 1.1× 151 1.0× 217 1.6× 193 1.8× 142 1.5× 19 914
J.Rafael M. Gorospe United States 7 429 0.6× 51 0.3× 161 1.2× 70 0.6× 62 0.6× 8 497
Akshay Bareja United States 13 490 0.7× 46 0.3× 218 1.6× 96 0.9× 45 0.5× 21 798
Yuko Shimizu‐Motohashi Japan 12 464 0.7× 50 0.3× 107 0.8× 53 0.5× 35 0.4× 20 526

Countries citing papers authored by Simon Guiraud

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Simon Guiraud

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Guiraud. A scholar is included among the top collaborators of Simon Guiraud 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 Simon Guiraud. Simon Guiraud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Pavani, Giulia, et al.. (2024). CRISPR-Based Gene Therapies: From Preclinical to Clinical Treatments. Cells. 13(10). 800–800. 34 indexed citations
2.
Babbs, Arran, Adam Berg, Maria Chatzopoulou, et al.. (2020). 2-Arylbenzo[d]oxazole Phosphinate Esters as Second-Generation Modulators of Utrophin for the Treatment of Duchenne Muscular Dystrophy. Journal of Medicinal Chemistry. 63(14). 7880–7891. 15 indexed citations
3.
Guiraud, Simon, et al.. (2019). Regenerative biomarkers for Duchenne muscular dystrophy. Neural Regeneration Research. 14(8). 1317–1317. 21 indexed citations
4.
Guiraud, Simon, Benjamin Edwards, Arran Babbs, et al.. (2019). The potential of utrophin and dystrophin combination therapies for Duchenne muscular dystrophy. Human Molecular Genetics. 28(13). 2189–2200. 34 indexed citations
5.
Guiraud, Simon, Benjamin Edwards, Sarah Squire, et al.. (2018). Micro-utrophin Improves Cardiac and Skeletal Muscle Function of Severely Affected D2/mdx Mice. Molecular Therapy — Methods & Clinical Development. 11. 92–105. 23 indexed citations
6.
Guiraud, Simon, et al.. (2018). The potential of utrophin modulators for the treatment of Duchenne muscular dystrophy. Expert Opinion on Orphan Drugs. 6(3). 179–192. 34 indexed citations
7.
Guiraud, Simon, Benjamin Edwards, Sarah Squire, et al.. (2018). Embryonic myosin is a regeneration marker to monitor utrophin-based therapies for DMD. Human Molecular Genetics. 28(2). 307–319. 29 indexed citations
8.
Guiraud, Simon, Arnaud Ferry, Zhiyong Chen, et al.. (2017). HANAC Col4a1 Mutation in Mice Leads to Skeletal Muscle Alterations due to a Primary Vascular Defect. American Journal Of Pathology. 187(3). 505–516. 30 indexed citations
9.
Moir, Lee, Sarah Hemming, Benjamin Edwards, et al.. (2017). Utrophin influences mitochondrial pathology and oxidative stress in dystrophic muscle. Skeletal Muscle. 7(1). 22–22. 13 indexed citations
10.
Guiraud, Simon & Kay E. Davies. (2017). Pharmacological advances for treatment in Duchenne muscular dystrophy. Current Opinion in Pharmacology. 34. 36–48. 118 indexed citations
11.
Guiraud, Simon, Benjamin Edwards, Sarah Squire, et al.. (2017). Identification of serum protein biomarkers for utrophin based DMD therapy. Scientific Reports. 7(1). 43697–43697. 28 indexed citations
12.
Guiraud, Simon, Ben Edwards, Sarah Squire, et al.. (2017). Identification of serum protein biomarkers for utrophin based DMD therapy. Neuromuscular Disorders. 27. S167–S167. 1 indexed citations
13.
Guiraud, Simon, Sarah Squire, Benjamin Edwards, et al.. (2015). Second-generation compound for the modulation of utrophin in the therapy of DMD. Human Molecular Genetics. 24(15). 4212–4224. 67 indexed citations
14.
Guiraud, Simon, et al.. (2015). Advances in genetic therapeutic strategies for Duchenne muscular dystrophy. Experimental Physiology. 100(12). 1458–1467. 54 indexed citations
15.
Guiraud, Simon, Annemieke Aartsma‐Rus, Natássia M. Vieira, et al.. (2015). The Pathogenesis and Therapy of Muscular Dystrophies. Annual Review of Genomics and Human Genetics. 16(1). 281–308. 236 indexed citations
16.
Guiraud, Simon, Laetitia van Wittenberghe, Christophe Georger, Daniel Scherman, & Antoine Kichler. (2012). Identification of decorin derived peptides with a zinc dependent anti-myostatin activity. Neuromuscular Disorders. 22(12). 1057–1068. 14 indexed citations
17.
Guiraud, Simon, et al.. (2011). The Reverse Block Copolymer Pluronic 25R2 Promotes DNA Transfection of Skeletal Muscle. Macromolecular Bioscience. 11(5). 590–594. 11 indexed citations
18.
Callier, Patrick, Laurence Faivre, Christel Thauvin‐Robinet, et al.. (2008). Array‐CGH in a series of 30 patients with mental retardation, dysmorphic features, and congenital malformations detected an interstitial 1p22.2‐p31.1 deletion in a patient with features overlapping the Goldenhar syndrome. American Journal of Medical Genetics Part A. 146A(16). 2109–2115. 20 indexed citations

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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