W. David Arnold

9.5k total citations
170 papers, 4.5k citations indexed

About

W. David Arnold is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, W. David Arnold has authored 170 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 53 papers in Genetics and 39 papers in Cellular and Molecular Neuroscience. Recurrent topics in W. David Arnold's work include Neurogenetic and Muscular Disorders Research (51 papers), RNA modifications and cancer (23 papers) and Genetic Neurodegenerative Diseases (22 papers). W. David Arnold is often cited by papers focused on Neurogenetic and Muscular Disorders Research (51 papers), RNA modifications and cancer (23 papers) and Genetic Neurodegenerative Diseases (22 papers). W. David Arnold collaborates with scholars based in United States, Canada and United Kingdom. W. David Arnold's co-authors include Eric Oldfield, John T. Kissel, Arthur H.M. Burghes, Stephen J. Kolb, Brian C. Clark, Chitra C. Iyer, Bakri Elsheikh, Julio A. Urbina, Jerry R. Mendell and T. Campbell Thompson and has published in prestigious journals such as Science, New England Journal of Medicine and Journal of the American Chemical Society.

In The Last Decade

W. David Arnold

163 papers receiving 4.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
W. David Arnold 2.0k 1.2k 978 543 413 170 4.5k
Willem Vaalburg 1.6k 0.8× 545 0.5× 825 0.8× 703 1.3× 279 0.7× 229 9.4k
Benjamin Kim 1.0k 0.5× 714 0.6× 738 0.8× 422 0.8× 299 0.7× 112 4.6k
Mark Edgar 1.8k 0.9× 814 0.7× 420 0.4× 673 1.2× 1.4k 3.4× 165 6.8k
Filip De Vos 1.2k 0.6× 734 0.6× 373 0.4× 282 0.5× 191 0.5× 281 5.0k
Jacques Barbet 3.7k 1.8× 276 0.2× 856 0.9× 380 0.7× 424 1.0× 289 9.5k
Takamasa Kayama 2.3k 1.1× 1.1k 0.9× 671 0.7× 532 1.0× 495 1.2× 344 7.7k
Yasuhisa Fujibayashi 1.5k 0.7× 334 0.3× 435 0.4× 230 0.4× 382 0.9× 237 7.3k
Philip H. Elsinga 2.1k 1.0× 319 0.3× 519 0.5× 802 1.5× 185 0.4× 247 7.1k
Lawrence D. Recht 1.9k 0.9× 2.5k 2.1× 461 0.5× 621 1.1× 197 0.5× 157 6.7k
Milan Hájek 760 0.4× 444 0.4× 601 0.6× 453 0.8× 420 1.0× 214 4.5k

Countries citing papers authored by W. David Arnold

Since Specialization
Citations

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

Fields of papers citing papers by W. David Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. David Arnold. 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 W. David Arnold. The network helps show where W. David Arnold may publish in the future.

Co-authorship network of co-authors of W. David Arnold

This figure shows the co-authorship network connecting the top 25 collaborators of W. David Arnold. A scholar is included among the top collaborators of W. David Arnold 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 W. David Arnold. W. David Arnold 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
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2.
Rich, Kelly, Xi Chu, Xinkun Wang, et al.. (2025). MuSK Regulates Neuromuscular Junction Nav1.4 Localization and Excitability. Journal of Neuroscience. 45(15). e1279232025–e1279232025.
3.
Allen, Matti D., et al.. (2024). The association between gait speed and falls in ambulatory adults with spinal muscular atrophy: a retrospective pilot study. Frontiers in Neurology. 15. 1491466–1491466. 1 indexed citations
4.
Kelly, Kristina, Amy Bartlett, John B. Hutchison, et al.. (2024). Neuromuscular transmission deficits in patients with CMT and ClC‐1 inhibition in CMT animal models. Annals of Clinical and Translational Neurology. 12(2). 320–331.
5.
Arbab, Mandana, Żaneta Matuszek, Gregory A. Newby, et al.. (2023). Base editing rescue of spinal muscular atrophy in cells and in mice. Science. 380(6642). eadg6518–eadg6518. 74 indexed citations
6.
McManamay, Ryan A., A. Rodriguez Perez, Greg Hamerly, et al.. (2023). Analysis of an optical imaging system prototype for autonomously monitoring zooplankton in an aquaculture facility. Aquacultural Engineering. 104. 102389–102389. 8 indexed citations
7.
Arnold, W. David & Brian C. Clark. (2023). Neuromuscular junction transmission failure in aging and sarcopenia: The nexus of the neurological and muscular systems. Ageing Research Reviews. 89. 101966–101966. 44 indexed citations
8.
Marion, Christina M., et al.. (2023). Chronic demyelination and myelin repair after spinal cord injury in mice: A potential link for glutamatergic axon activity. Glia. 71(9). 2096–2116. 17 indexed citations
9.
Arnold, W. David, et al.. (2023). Long-term effects of a fat-directed FGF21 gene therapy in aged female mice. Gene Therapy. 31(3-4). 95–104. 4 indexed citations
10.
Almeida, Camila de, Nianyuan Huang, W. David Arnold, et al.. (2023). Promising AAV.U7snRNAs vectors targeting DMPK improve DM1 hallmarks in patient-derived cell lines. Frontiers in Cell and Developmental Biology. 11. 3 indexed citations
11.
Jerome, Andrew, Andrew Sas, Cankun Wang, et al.. (2022). Biological aging of CNS-resident cells alters the clinical course and immunopathology of autoimmune demyelinating disease. JCI Insight. 7(12). 16 indexed citations
12.
Miller, Vincent, Richard A. LaFountain, W. David Arnold, et al.. (2020). A ketogenic diet combined with exercise alters mitochondrial function in human skeletal muscle while improving metabolic health. American Journal of Physiology-Endocrinology and Metabolism. 319(6). E995–E1007. 59 indexed citations
13.
Stunnenberg, Bas C., Samantha LoRusso, W. David Arnold, et al.. (2020). Guidelines on clinical presentation and management of nondystrophic myotonias. Muscle & Nerve. 62(4). 430–444. 46 indexed citations
14.
15.
Nagarajan, Prabakaran, et al.. (2019). Early‐onset aging and mitochondrial defects associated with loss of histone acetyltransferase 1 (Hat1). Aging Cell. 18(5). e12992–e12992. 28 indexed citations
16.
LoRusso, Samantha, David Kline, Amy Bartlett, et al.. (2018). Open Label Trial of Ranolazine for the Treatment of Paramyotonia Congenita (P3.436). Neurology. 90(15_supplement). 1 indexed citations
17.
Singer, Adam J., Martin Than, Stephen W. Smith, et al.. (2017). Missed myocardial infarctions in ED patients prospectively categorized as low risk by established risk scores. The American Journal of Emergency Medicine. 35(5). 704–709. 23 indexed citations
18.
Arnold, W. David, Vicki L. McGovern, Jia Li, et al.. (2015). Electrical Impedance Myography as a Pharmacodynamic Biomarker in Spinal Muscular Atrophy (P2.004). Neurology. 84(14_supplement). 1 indexed citations
19.
Chambers, Keith, D. Douglas Cochrane, Beverly Irwin, W. David Arnold, & Paul Thiessen. (1996). Assessment of the Appropriateness of Services Provided by a Multidisciplinary Meningomyelocele Clinic. Pediatric Neurosurgery. 24(2). 92–97. 5 indexed citations
20.
Arnold, W. David, et al.. (1978). [Demonstration of immune complexes of various origins in panarteritis nodosa].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 5. 142–3. 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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