William B. Martens

4.1k total citations
51 papers, 1.9k citations indexed

About

William B. Martens is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, William B. Martens has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 22 papers in Cellular and Molecular Neuroscience and 14 papers in Genetics. Recurrent topics in William B. Martens's work include Genetic Neurodegenerative Diseases (22 papers), Muscle Physiology and Disorders (21 papers) and Neurogenetic and Muscular Disorders Research (14 papers). William B. Martens is often cited by papers focused on Genetic Neurodegenerative Diseases (22 papers), Muscle Physiology and Disorders (21 papers) and Neurogenetic and Muscular Disorders Research (14 papers). William B. Martens collaborates with scholars based in United States, United Kingdom and Germany. William B. Martens's co-authors include Michael McDermott, Rabi Tawil, Charles A. Thornton, Richard T. Moxley, Chad Heatwole, Richard S. Finkel, Basil T. Darras, James E. Hilbert, Darryl C. De Vivo and Allan M. Glanzman and has published in prestigious journals such as Neurology, American Journal of Preventive Medicine and Developmental Medicine & Child Neurology.

In The Last Decade

William B. Martens

47 papers receiving 1.8k citations

Peers

William B. Martens
Andrea Klein Switzerland
Chad Heatwole United States
Nicholas E. Johnson United States
Maria Kinali United Kingdom
Douglas M. Sproule United States
Shivanthi Balalla New Zealand
Rita Krishnamurthi New Zealand
Mariacristina Scoto United Kingdom
Adnan Y. Manzur United Kingdom
Andrea Klein Switzerland
William B. Martens
Citations per year, relative to William B. Martens William B. Martens (= 1×) peers Andrea Klein

Countries citing papers authored by William B. Martens

Since Specialization
Citations

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

Fields of papers citing papers by William B. Martens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William B. Martens. 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 William B. Martens. The network helps show where William B. Martens may publish in the future.

Co-authorship network of co-authors of William B. Martens

This figure shows the co-authorship network connecting the top 25 collaborators of William B. Martens. A scholar is included among the top collaborators of William B. Martens 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 William B. Martens. William B. Martens 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.
Dang, Utkarsh J., Claire Wood, Sze Choong Wong, et al.. (2025). Height, weight, and body mass index trajectories and their correlation with functional outcome assessments in boys with Duchenne muscular dystrophy. Developmental Medicine & Child Neurology. 68(3). 429–440.
2.
McDermott, Michael P., Jacqueline Montes, Allan M. Glanzman, et al.. (2025). Spinal Muscular Atrophy Functional Composite Score Revised (SMA-FCR) in Untreated and Nusinersen-Treated Patient Cohorts. Neurology. 105(2). e213839–e213839.
3.
McDermott, Michael P., Keith R. Abrams, Anna Mayhew, et al.. (2024). Factors Associated With Early Motor Function Trajectories in DMD After Glucocorticoid Initiation. Neurology. 102(10). e209206–e209206. 4 indexed citations
4.
Sutherland, C. Simone, S. Schneider, Alex Simpson, et al.. (2024). The influence of genotype on the natural history of types 1 - 3 spinal muscular atrophy. Neuromuscular Disorders. 47. 105270–105270.
5.
Young, Sally Dunaway, Amy Pasternak, Tina Duong, et al.. (2023). Assessing Bulbar Function in Spinal Muscular Atrophy Using Patient-Reported Outcomes. Journal of Neuromuscular Diseases. 10(2). 199–209. 9 indexed citations
6.
Hamel, Johanna, Michael McDermott, James E. Hilbert, et al.. (2022). Milestones of progression in myotonic dystrophy type 1 and type 2. Muscle & Nerve. 66(4). 508–512. 4 indexed citations
7.
Higgs, Cecilia, James E. Hilbert, Libby Wood, et al.. (2019). Reproductive Cancer Risk Factors in Women With Myotonic Dystrophy (DM): Survey Data From the US and UK DM Registries. Frontiers in Neurology. 10. 1071–1071. 2 indexed citations
8.
Hilbert, James E., Richard J. Barohn, Paula R. Clemens, et al.. (2017). High frequency of gastrointestinal manifestations in myotonic dystrophy type 1 and type 2. Neurology. 89(13). 1348–1354. 37 indexed citations
9.
Gadalla, Shahinaz M., et al.. (2017). Pigmentation phenotype, photosensitivity and skin neoplasms in patients with myotonic dystrophy. European Journal of Neurology. 24(5). 713–718. 12 indexed citations
10.
Montes, Jacqueline, Allan M. Glanzman, Elena Mazzone, et al.. (2015). Spinal muscular atrophy functional composite score: A functional measure in spinal muscular atrophy. Muscle & Nerve. 52(6). 942–947. 18 indexed citations
11.
Hilbert, James E., Tetsuo Ashizawa, John Day, et al.. (2013). Diagnostic odyssey of patients with myotonic dystrophy. Journal of Neurology. 260(10). 2497–2504. 72 indexed citations
12.
Moxley, Richard T., et al.. (2012). Correlates of tumor development in patients with myotonic dystrophy. Journal of Neurology. 259(10). 2161–2166. 36 indexed citations
13.
Statland, Jeffrey, Brian N. Bundy, Yunxia Wang, et al.. (2012). A quantitative measure of handgrip myotonia in non‐dystrophic myotonia. Muscle & Nerve. 46(4). 482–489. 16 indexed citations
14.
Glanzman, Allan M., Michael McDermott, Jacqueline Montes, et al.. (2011). Validation of the Children's Hospital of Philadelphia Infant Test of Neuromuscular Disorders (CHOP INTEND). Pediatric Physical Therapy. 23(4). 322–326. 95 indexed citations
15.
Heatwole, Chad, Katy Eichinger, Deborah I. Friedman, et al.. (2010). Open-Label Trial of Recombinant Human Insulin-like Growth Factor 1/Recombinant Human Insulin-like Growth Factor Binding Protein 3 in Myotonic Dystrophy Type 1. Archives of Neurology. 68(1). 37–44. 40 indexed citations
16.
Logigian, Eric L., Paul Twydell, Nuran Dilek, et al.. (2009). Evoked myotonia can be “dialed‐up” by increasing stimulus train length in myotonic dystrophy type 1. Muscle & Nerve. 41(2). 191–196. 6 indexed citations
17.
Mueller, Christine M., James E. Hilbert, William B. Martens, et al.. (2009). Hypothesis: neoplasms in myotonic dystrophy. Cancer Causes & Control. 20(10). 2009–2020. 49 indexed citations
18.
Moxley, Richard T., Eric L. Logigian, William B. Martens, et al.. (2007). Computerized hand grip myometry reliably measures myotonia and muscle strength in myotonic dystrophy (DM1). Muscle & Nerve. 36(3). 320–328. 41 indexed citations
19.
Martens, William B., et al.. (1986). 20 versus 30 mg Omeprazole Once Daily: Effect on Healing Rates in 115 Duodenal Ulcer Patients. Digestion. 33(2). 117–120. 16 indexed citations
20.
Martens, William B., et al.. (1986). Oral Omeprazole, 20 mg Versus 30 mg Once Daily: Effect on Healing Rates in 115 Duodenal Ulcer Patients. Scandinavian Journal of Gastroenterology. 21(sup118). 173–174. 2 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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