Matthew Wicklund
Impact in
Papers in
-
- Muscle Physiology and Disorders 14
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- Genetic Neurodegenerative Diseases 12
- Hereditary Neurological Disorders 3
- Co-authors
- John T. Kissel (3 shared papers)Aiesha Ahmed (1 shared paper)Jerry R. Mendell (1 shared paper)Tahseen Mozaffar (5 shared papers)H. Takahashi (1 shared paper)Lauren Seeberger (1 shared paper)Nicholas E. Johnson (6 shared papers)M. Mateo Paz Soldán (1 shared paper)
- Journals
- Muscle & Nerve (8 papers)Neurology (4 papers)Neurologic Clinics (4 papers)Neuromuscular Disorders (3 papers)CONTINUUM Lifelong Learning in Neurology (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Matthew Wicklund
32 papers receiving 401 citations
Peers
Comparison fields: 5 of 64
- Genetics 83
- Neurology 111
- Cellular and Molecular Neuroscience 127
- Cardiology and Cardiovascular Medicine 74
- Molecular Biology 223
Countries citing papers authored by Matthew Wicklund
This map shows the geographic impact of Matthew Wicklund'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 Matthew Wicklund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Wicklund more than expected).
Fields of papers citing papers by Matthew Wicklund
This network shows the impact of papers produced by Matthew Wicklund. 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 Matthew Wicklund. The network helps show where Matthew Wicklund may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Wicklund, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 59 | |
| 2 | 2019 | 41 | |
| 3 | 2015 | 38 | |
| 4 | 2011 | 30 | |
| 5 | 2018 | 27 | |
| 6 | 2009 | 24 | |
| 7 | 2013 | 24 | |
| 8 | 2019 | 21 | |
| 9 | 2001 | 20 | |
| 10 | 2019 | 19 | |
| 11 | 2005 | 14 | |
| 12 | 2017 | 13 | |
| 13 | 2003 | 10 | |
| 14 | 2003 | 10 | |
| 15 | 2020 | 7 | |
| 16 | 2016 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2015 | 6 | |
| 19 | 2018 | 6 | |
| 20 | 2021 | 5 |
About Matthew Wicklund
Matthew Wicklund is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 412 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (14 papers), Genetic Neurodegenerative Diseases (12 papers), Neurogenetic and Muscular Disorders Research (9 papers), Cardiomyopathy and Myosin Studies (6 papers), Inflammatory Myopathies and Dermatomyositis (4 papers), Neurological diseases and metabolism (4 papers), Hereditary Neurological Disorders (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Genetics (83 citations), Neurology (111 citations), Cellular and Molecular Neuroscience (127 citations), Cardiology and Cardiovascular Medicine (74 citations) and Molecular Biology (223 citations). Matthew Wicklund has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include John T. Kissel, Aiesha Ahmed, Jerry R. Mendell, Tahseen Mozaffar, H. Takahashi, Lauren Seeberger, Nicholas E. Johnson, M. Mateo Paz Soldán, Shinsuke Niwa and Teri Schreiner. Their work appears in journals such as Muscle & Nerve, Neurology, Neurologic Clinics, Neuromuscular Disorders and CONTINUUM Lifelong Learning in Neurology.
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.