Jeremy M. Shefner
- Neurology top 0.1%
- Amyotrophic Lateral Sclerosis Research 126
- Parkinson's Disease Mechanisms and Treatments 32
- Neurological disorders and treatments 12
- Genetics top 0.1%
- Neurogenetic and Muscular Disorders Research 81
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- Neuroscience and Neural Engineering 13
- Neurology top 1%
- Amyotrophic Lateral Sclerosis Research 126
- Parkinson's Disease Mechanisms and Treatments 32
- Neurological disorders and treatments 12
- Developmental Neuroscience top 2%
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- Muscle activation and electromyography studies 21
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- Peripheral Nerve Disorders 12
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- biodegradable polymer synthesis and properties 10
- Co-authors
- Merit CudkowiczChristian KrarupMichael W. LevineDavid SchoenfeldSeward B. RutkoveHiroshi MitsumotoMamede de CarvalhoElizabeth M. Raynor
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jeremy M. Shefner
194 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Neurology 5.0k
- Genetics 3.2k
- Cellular and Molecular Neuroscience 1.8k
- Neurology 783
- Developmental Neuroscience 209
Countries citing papers authored by Jeremy M. Shefner
This map shows the geographic impact of Jeremy M. Shefner'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 Jeremy M. Shefner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy M. Shefner more than expected).
Fields of papers citing papers by Jeremy M. Shefner
This network shows the impact of papers produced by Jeremy M. Shefner. 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 Jeremy M. Shefner. The network helps show where Jeremy M. Shefner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeremy M. Shefner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 82 | |
| 11 | 2020 | 178 | |
| 12 | 2019 | 2 | |
| 13 | 2018 | 31 | |
| 14 | Evaluation of a Health State Staging System Defined by Loss of Independence in Amyotrophic Lateral Sclerosis: Assessment in a Second Dataset | 2013 | 1 |
| 15 | 2013 | 166 | |
| 16 | 2006 | 35 | |
| 17 | 2006 | 203 | |
| 18 | 2005 | 88 | |
| 19 | 2002 | 128 | |
| 20 | 1999 | 46 |
About Jeremy M. Shefner
Jeremy M. Shefner is a scholar working on Neurology, Genetics and Cellular and Molecular Neuroscience, having authored 206 papers that have together received 8.5k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (126 papers), Neurogenetic and Muscular Disorders Research (81 papers), Parkinson's Disease Mechanisms and Treatments (32 papers), Muscle activation and electromyography studies (21 papers), Neuroscience and Neural Engineering (13 papers), Peripheral Nerve Disorders (12 papers), Neurological disorders and treatments (12 papers) and biodegradable polymer synthesis and properties (10 papers). The work is most often cited by research in Neurology (5.0k citations), Genetics (3.2k citations) and Cellular and Molecular Neuroscience (1.8k citations). Jeremy M. Shefner has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Merit Cudkowicz, Christian Krarup, Michael W. Levine, David Schoenfeld, Seward B. Rutkove, Hiroshi Mitsumoto, Mamede de Carvalho, Elizabeth M. Raynor, Ryuji Kaji and Eric L. Logigian. Their work appears in journals such as Science, Nature Medicine and Journal of Clinical Oncology.
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.