Dan Cox

912 total citations
18 papers, 389 citations indexed

About

Dan Cox is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Dan Cox has authored 18 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Cell Biology and 6 papers in Physiology. Recurrent topics in Dan Cox's work include Muscle Physiology and Disorders (7 papers), Myasthenia Gravis and Thymoma (5 papers) and Cellular transport and secretion (4 papers). Dan Cox is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Myasthenia Gravis and Thymoma (5 papers) and Cellular transport and secretion (4 papers). Dan Cox collaborates with scholars based in United Kingdom, Germany and Spain. Dan Cox's co-authors include Hanns Lochmüller, Jyoti K. Jaiswal, Adam Horn, Andreas Roos, Rüdiger Rudolf, Ana Töpf, Jordi Molgó, Ísis do Carmo Kettelhut, Wilian A. Silveira and Évelyne Benoit and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Brain.

In The Last Decade

Dan Cox

18 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Cox United Kingdom 11 221 111 98 71 69 18 389
Sara Bonato Italy 13 362 1.6× 79 0.7× 51 0.5× 123 1.7× 59 0.9× 23 584
Janet E. Sowden United States 12 298 1.3× 184 1.7× 91 0.9× 213 3.0× 59 0.9× 23 577
Hongyang Jing China 11 183 0.8× 63 0.6× 59 0.6× 68 1.0× 64 0.9× 21 306
Franziska Wild Germany 5 212 1.0× 45 0.4× 61 0.6× 90 1.3× 74 1.1× 8 315
Małgorzata Dorobek Poland 9 303 1.4× 60 0.5× 65 0.7× 36 0.5× 21 0.3× 34 465
M. Al-Lozi United States 6 175 0.8× 67 0.6× 88 0.9× 67 0.9× 40 0.6× 10 361
Christopher D. McMahon New Zealand 13 308 1.4× 33 0.3× 98 1.0× 36 0.5× 148 2.1× 24 502
Matthew Wicklund United States 12 223 1.0× 111 1.0× 31 0.3× 127 1.8× 33 0.5× 34 412
Kazuyo Ikeda Japan 12 180 0.8× 136 1.2× 27 0.3× 101 1.4× 57 0.8× 29 517
Dittmar Labeit Germany 9 407 1.8× 46 0.4× 94 1.0× 120 1.7× 164 2.4× 10 559

Countries citing papers authored by Dan Cox

Since Specialization
Citations

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

Fields of papers citing papers by Dan Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Cox

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Cox. A scholar is included among the top collaborators of Dan Cox 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 Dan Cox. Dan Cox 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.
Suárez‐Calvet, Xavier, Dan Cox, Andrew Bowey, et al.. (2025). Strategy for drug repurposing in fibroadipogenic replacement during muscle wasting: application to duchenne muscular dystrophy. Frontiers in Cell and Developmental Biology. 13. 1505697–1505697. 1 indexed citations
2.
Alonso‐Pérez, Jorge, A. Nascimento, Giorgio Tasca, et al.. (2024). Single cell RNA sequencing of human FAPs reveals different functional stages in Duchenne muscular dystrophy. Frontiers in Cell and Developmental Biology. 12. 1399319–1399319. 3 indexed citations
3.
Riva, Beatrice, Emanuela Pessolano, Ana Töpf, et al.. (2022). STIM1 and ORAI1 mutations leading to tubular aggregate myopathies are sensitive to the Store-operated Ca2+-entry modulators CIC-37 and CIC-39. Cell Calcium. 105. 102605–102605. 10 indexed citations
4.
White, Zoe, Dan Cox, Dmitri V. Pechkovsky, et al.. (2022). Limb-girdle muscular dystrophy type 2B causes HDL-C abnormalities in patients and statin-resistant muscle wasting in dysferlin-deficient mice. Skeletal Muscle. 12(1). 25–25. 9 indexed citations
5.
Barthel, Benjamin L., et al.. (2021). Elevation of fast but not slow troponin I in the circulation of patients with Becker and Duchenne muscular dystrophy. Muscle & Nerve. 64(1). 43–49. 16 indexed citations
6.
Jin, Shan‐Xue, Haruki Higashimori, Yuqin Men, et al.. (2020). Astroglial FMRP modulates synaptic signaling and behavior phenotypes in FXS mouse model. Glia. 69(3). 594–608. 11 indexed citations
7.
White, Zoe, Chady H. Hakim, Marine Théret, et al.. (2020). High prevalence of plasma lipid abnormalities in human and canine Duchenne and Becker muscular dystrophies depicts a new type of primary genetic dyslipidemia. Journal of clinical lipidology. 14(4). 459–469.e0. 19 indexed citations
8.
Horn, Adam, et al.. (2020). Mitochondrial fragmentation enables localized signaling required for cell repair. The Journal of Cell Biology. 219(5). 47 indexed citations
9.
Cox, Dan, Matthew Henderson, Volker Straub, & Rita Barresi. (2019). A simple and rapid immunoassay predicts dysferlinopathies in peripheral blood film. Neuromuscular Disorders. 29(11). 874–880. 5 indexed citations
10.
Cox, Dan, Silvia Cipriani, Sally Spendiff, et al.. (2018). SIL1 deficiency causes degenerative changes of peripheral nerves and neuromuscular junctions in fish, mice and human. Neurobiology of Disease. 124. 218–229. 10 indexed citations
11.
McMacken, Grace, et al.. (2018). The beta-adrenergic agonist salbutamol modulates neuromuscular junction formation in zebrafish models of human myasthenic syndromes. Human Molecular Genetics. 27(9). 1556–1564. 29 indexed citations
12.
Cordts, Isabell, et al.. (2018). MYO9A deficiency in motor neurons is associated with reduced neuromuscular agrin secretion. Human Molecular Genetics. 27(8). 1434–1446. 13 indexed citations
13.
Töpf, Ana, Veeramani Preethish‐Kumar, Paulo José Lorenzoni, et al.. (2018). Recessive variants of MuSK are associated with late onset CMS and predominant limb girdle weakness. American Journal of Medical Genetics Part A. 176(7). 1594–1601. 23 indexed citations
14.
O’Connor, Emily, Ana Töpf, René P. Zahedi, et al.. (2018). Clinical and research strategies for limb‐girdle congenital myasthenic syndromes. Annals of the New York Academy of Sciences. 1412(1). 102–112. 16 indexed citations
15.
Reza, Mojgan, Dan Cox, Lauren Phillips, et al.. (2017). MRC Centre Neuromuscular Biobank (Newcastle and London): Supporting and facilitating rare and neuromuscular disease research worldwide. Neuromuscular Disorders. 27(11). 1054–1064. 12 indexed citations
16.
Khan, Muzamil Majid, Danilo Lustrino, Wilian A. Silveira, et al.. (2016). Sympathetic innervation controls homeostasis of neuromuscular junctions in health and disease. Proceedings of the National Academy of Sciences. 113(3). 746–750. 127 indexed citations
17.
O’Connor, Emily, Ana Töpf, Juliane S. Müller, et al.. (2016). Identification of mutations in theMYO9Agene in patients with congenital myasthenic syndrome. Brain. 139(8). 2143–2153. 37 indexed citations
18.
Roos, Albert de, et al.. (2016). MRC biobank Newcastle – A five-year review of the John Walton Muscular Dystrophy Research Centre experience. Neuromuscular Disorders. 26. S207–S207. 1 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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