Matthew J. Benskey
- Neurology top 2%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Physiology top 10%
- Neurology top 5%
- Co-authors
- Fredric P. ManfredssonRuth G. PerezIvette M. SandovalXia LiuKeqiang YeSeong Su KangZhentao ZhangNathan C. Kuhn
- Topics
- Parkinson's Disease Mechanisms and Treatments (11 papers)Virus-based gene therapy research (7 papers)Nerve injury and regeneration (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeurochemistryNature Structural & Molecular Biology
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Matthew J. Benskey
21 papers receiving 936 citations
Peers
Comparison fields: 5 of 82
- Neurology 545
- Cellular and Molecular Neuroscience 369
- Molecular Biology 291
- Physiology 229
- Neurology 141
Countries citing papers authored by Matthew J. Benskey
This map shows the geographic impact of Matthew J. Benskey'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 J. Benskey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Benskey more than expected).
Fields of papers citing papers by Matthew J. Benskey
This network shows the impact of papers produced by Matthew J. Benskey. 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 J. Benskey. The network helps show where Matthew J. Benskey may publish in the future.
Co-authorship network of co-authors of Matthew J. Benskey
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Benskey. A scholar is included among the top collaborators of Matthew J. Benskey 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 Matthew J. Benskey. Matthew J. Benskey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 51 | |
| 6 | 6 | |
| 7 | 139 | |
| 8 | 77 | |
| 9 | 155 | |
| 10 | 100 | |
| 11 | 20 | |
| 12 | 39 | |
| 13 | 175 | |
| 14 | 20 | |
| 15 | 37 | |
| 16 | 3 | |
| 17 | 43 | |
| 18 | 5 | |
| 19 | 18 | |
| 20 | 20 |
About Matthew J. Benskey
Matthew J. Benskey is a scholar working on Neurology, Equine and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 946 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (11 papers), Virus-based gene therapy research (7 papers) and Nerve injury and regeneration (5 papers). The work is most often cited by research in Neurology (545 citations), Cellular and Molecular Neuroscience (369 citations) and Neurology (141 citations). Matthew J. Benskey has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Fredric P. Manfredsson, Ruth G. Perez, Ivette M. Sandoval, Xia Liu, Keqiang Ye, Seong Su Kang, Zhentao Zhang, Nathan C. Kuhn, Caryl E. Sortwell and Kelvin C. Luk. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neurochemistry and Nature Structural & Molecular Biology.
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.