Jeremy M. Shefner
- Neurology top 0.1%
- Genetics top 0.1%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Surgery top 5%
- Co-authors
- Merit CudkowiczChristian KrarupMichael W. LevineDavid SchoenfeldSeward B. RutkoveHiroshi MitsumotoMamede de CarvalhoElizabeth M. Raynor
- Topics
- Amyotrophic Lateral Sclerosis Research (126 papers)Neurogenetic and Muscular Disorders Research (81 papers)Parkinson's Disease Mechanisms and Treatments (32 papers)
- 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
- Molecular Biology 1.8k
- Cellular and Molecular Neuroscience 1.8k
- Surgery 932
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 of co-authors of Jeremy M. Shefner
This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy M. Shefner. A scholar is included among the top collaborators of Jeremy M. Shefner 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 Jeremy M. Shefner. Jeremy M. Shefner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 82 | |
| 11 | 178 | |
| 12 | 2 | |
| 13 | 31 | |
| 14 | Evaluation of a Health State Staging System Defined by Loss of Independence in Amyotrophic Lateral Sclerosis: Assessment in a Second Dataset | 1 |
| 15 | 166 | |
| 16 | 35 | |
| 17 | 203 | |
| 18 | 88 | |
| 19 | 128 | |
| 20 | 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) and Parkinson's Disease Mechanisms and Treatments (32 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.