R. Mein

1.9k total citations
23 papers, 703 citations indexed

About

R. Mein is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, R. Mein has authored 23 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 6 papers in Genetics. Recurrent topics in R. Mein's work include Muscle Physiology and Disorders (15 papers), Cardiomyopathy and Myosin Studies (7 papers) and Neurogenetic and Muscular Disorders Research (6 papers). R. Mein is often cited by papers focused on Muscle Physiology and Disorders (15 papers), Cardiomyopathy and Myosin Studies (7 papers) and Neurogenetic and Muscular Disorders Research (6 papers). R. Mein collaborates with scholars based in United Kingdom, United States and Italy. R. Mein's co-authors include Stephen Abbs, Caroline A. Sewry, Emma Clement, Lucy Feng, Francesco Muntoni, C. Jimenez‐Mallebrera, S. Brown, Silvia Torelli, Caroline Godfrey and Martin Brockington and has published in prestigious journals such as Neurology, Annals of Neurology and Journal of Medical Genetics.

In The Last Decade

R. Mein

21 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Mein United Kingdom 12 617 171 152 108 99 23 703
Jahannaz Dastgir United States 11 249 0.4× 98 0.6× 75 0.5× 41 0.4× 48 0.5× 28 379
Ermelinda Ceco United States 10 479 0.8× 116 0.7× 92 0.6× 9 0.1× 58 0.6× 11 655
Takahito Niiyama Japan 11 242 0.4× 32 0.2× 46 0.3× 57 0.5× 98 1.0× 24 435
Meriel McEntagart United Kingdom 14 273 0.4× 101 0.6× 66 0.4× 11 0.1× 157 1.6× 24 576
C. Scotton Italy 14 443 0.7× 89 0.5× 65 0.4× 6 0.1× 84 0.8× 20 541
Ryan G. Walker United States 14 514 0.8× 94 0.5× 64 0.4× 10 0.1× 25 0.3× 25 728
Naohisa Niiro Japan 11 368 0.6× 99 0.6× 21 0.1× 23 0.2× 61 0.6× 14 558
Chiara Aiello Italy 16 397 0.6× 30 0.2× 54 0.4× 10 0.1× 110 1.1× 34 583
Lidia González‐Quereda Spain 13 476 0.8× 156 0.9× 109 0.7× 4 0.0× 119 1.2× 35 540
David M. Plank United States 7 550 0.9× 406 2.4× 30 0.2× 7 0.1× 64 0.6× 10 813

Countries citing papers authored by R. Mein

Since Specialization
Citations

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

Fields of papers citing papers by R. Mein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Mein

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

All Works

20 of 20 papers shown
1.
McVeigh, Terri, Fiona Lalloo, Kevin Monahan, et al.. (2024). Carrier testing for partners of MUTYH variant carriers: UK Cancer Genetics Group recommendations. Journal of Medical Genetics. 61(8). 813–816. 1 indexed citations
2.
Sárközy, Anna, Mário Sá, Deborah Ridout, et al.. (2023). Long-term Natural History of Pediatric Dominant and Recessive RYR1 -Related Myopathy. Neurology. 101(15). e1495–e1508. 4 indexed citations
3.
Sárközy, Anna, Rahul Phadke, Anne‐Marie Childs, et al.. (2020). Homozygous intronic variants in TPM2 cause recessively inherited Escobar variant of multiple pterygium syndrome and congenital myopathy. Neuromuscular Disorders. 31(4). 359–366. 3 indexed citations
4.
Ridout, Deborah, Marina T. DiStefano, Marion Main, et al.. (2020). CONGENITAL MYOPATHIES 2. Neuromuscular Disorders. 30. S74–S75.
5.
Zambon, Alberto A., Deborah Ridout, R. Mein, et al.. (2020). LAMA2‐related muscular dystrophy: Natural history of a large pediatric cohort. Annals of Clinical and Translational Neurology. 7(10). 1870–1882. 25 indexed citations
6.
Sárközy, Anna, Mariacristina Scoto, Deborah Ridout, et al.. (2020). Selenoprotein N‐related myopathy: a retrospective natural history study to guide clinical trials. Annals of Clinical and Translational Neurology. 7(11). 2288–2296. 20 indexed citations
7.
Phadke, Rahul, Anna Sárközy, Emily C. Oates, et al.. (2019). P.236Myofibres with subsarcolemmal rims and/or central aggregates of mitochondria (SRCAM) are prevalent in congenital titinopathies. Neuromuscular Disorders. 29. S135–S135.
8.
Ullmann, Urielle, L. D'Argenzio, Shrey Mathur, et al.. (2018). ECEL1 gene related contractural syndrome: Long-term follow-up and update on clinical and pathological aspects. Neuromuscular Disorders. 28(9). 741–749. 10 indexed citations
9.
Marks, Seth D., Penny Fallon, Paul Johns, et al.. (2018). Parental mosaicism in RYR1-related Central Core Disease. Neuromuscular Disorders. 28(5). 422–426. 5 indexed citations
10.
Sframeli, Maria, Anna Sárközy, Marta Bértoli, et al.. (2017). Congenital muscular dystrophies in the UK population: Clinical and molecular spectrum of a large cohort diagnosed over a 12-year period. Neuromuscular Disorders. 27(9). 793–803. 65 indexed citations
11.
Touraine, Renaud, Annie Laquerrière, Florent Marguet, et al.. (2017). Autopsy findings in EPG5‐related Vici syndrome with antenatal onset. American Journal of Medical Genetics Part A. 173(9). 2522–2527. 6 indexed citations
12.
Turner, Clinton, R. Mein, Cynthia Sharpe, & Donald R. Love. (2015). Merosin-deficient congenital muscular dystrophy: A novel homozygous mutation in the laminin-2 gene. Journal of Clinical Neuroscience. 22(12). 1983–1985. 5 indexed citations
13.
Forrest, Katharine, Nicola Foulds, John S. Millar, et al.. (2014). RYR1-related malignant hyperthermia with marked cerebellar involvement – A paradigm of heat-induced CNS injury?. Neuromuscular Disorders. 25(2). 138–140. 16 indexed citations
14.
Clement, Emma, L. Feng, R. Mein, et al.. (2012). Relative frequency of congenital muscular dystrophy subtypes: Analysis of the UK diagnostic service 2001–2008. Neuromuscular Disorders. 22(6). 522–527. 41 indexed citations
15.
Geranmayeh, Fatemeh, Emma Clement, Lucy Feng, et al.. (2010). Genotype–phenotype correlation in a large population of muscular dystrophy patients with LAMA2 mutations. Neuromuscular Disorders. 20(4). 241–250. 133 indexed citations
16.
Clement, Emma, Caroline Godfrey, Jenny Tan, et al.. (2008). Mild POMGnT1 Mutations Underlie a Novel Limb-Girdle Muscular Dystrophy Variant. Archives of Neurology. 65(1). 137–41. 57 indexed citations
17.
Jimenez‐Mallebrera, C., Silvia Torelli, Lucy Feng, et al.. (2008). A Comparative Study of α‐Dystroglycan Glycosylation in Dystroglycanopathies Suggests that the Hypoglycosylation of α‐Dystroglycan Does Not Consistently Correlate with Clinical Severity. Brain Pathology. 19(4). 596–611. 89 indexed citations
18.
Godfrey, Caroline, Diana M. Escolar, Martin Brockington, et al.. (2006). Fukutin gene mutations in steroid‐responsive limb girdle muscular dystrophy. Annals of Neurology. 60(5). 603–610. 108 indexed citations
19.
20.
Vainzof, Mariz, Pascale Richard, Ralf Herrmann, et al.. (2005). Prenatal diagnosis in laminin α2 chain (merosin)-deficient congenital muscular dystrophy: A collective experience of five international centers. Neuromuscular Disorders. 15(9-10). 588–594. 22 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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