Samuel Burke
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Neuroinflammation and Neurodegeneration Mechanisms
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- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
- Nuclear Receptors and Signaling
- Genetic Neurodegenerative Diseases
Papers in
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- Neuroscience and Neuropharmacology Research 3
- Nerve injury and regeneration 1
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- Receptor Mechanisms and Signaling 2
- Co-authors
- Louis‐Éric Trudeau (5 shared papers)Nicolas Giguère (2 shared papers)José Á. Obeso (1 shared paper)A. Jon Stoessl (1 shared paper)Laura A. Volpicelli‐Daley (1 shared paper)Kelvin C. Luk (1 shared paper)Dimitri Krainc (1 shared paper)Wolfgang H. Oertel (1 shared paper)
- Journals
- Movement Disorders (1 paper)Frontiers in Neurology (1 paper)The FASEB Journal (1 paper)eNeuro (1 paper)Nature Communications (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Samuel Burke
6 papers receiving 414 citations
Samuel Burke's Hit Papers
Peers
Comparison fields: 5 of 70
- Neurology 263
- Cellular and Molecular Neuroscience 177
- Neurology 47
- Aging 6
- Developmental Neuroscience 12
Countries citing papers authored by Samuel Burke
This map shows the geographic impact of Samuel Burke'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 Samuel Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Burke more than expected).
Fields of papers citing papers by Samuel Burke
This network shows the impact of papers produced by Samuel Burke. 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 Samuel Burke. The network helps show where Samuel Burke may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Burke, 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 | On Cell Loss and Selective Vulnerability of Neuronal Populations in Parkinson's Disease Hit paper breakdown → | 2018 | 285 |
| 2 | 2019 | 82 | |
| 3 | 2021 | 22 | |
| 4 | 2023 | 19 | |
| 5 | 2016 | 7 | |
| 6 | 2022 | 4 |
About Samuel Burke
Samuel Burke is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Physiology and Cognitive Neuroscience, having authored 6 papers that have together received 419 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Neurological disorders and treatments (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Receptor Mechanisms and Signaling (2 papers), Cell Adhesion Molecules Research (1 paper), Alzheimer's disease research and treatments (1 paper), Nerve injury and regeneration (1 paper) and Biochemical effects in animals (1 paper). The work is most often cited by research in Neurology (263 citations), Cellular and Molecular Neuroscience (177 citations), Neurology (47 citations), Aging (6 citations) and Developmental Neuroscience (12 citations). Samuel Burke has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Louis‐Éric Trudeau, Nicolas Giguère, José Á. Obeso, A. Jon Stoessl, Laura A. Volpicelli‐Daley, Kelvin C. Luk, Dimitri Krainc, Wolfgang H. Oertel, Kerry Purtell and Zhenyu Yue. Their work appears in journals such as Movement Disorders, Frontiers in Neurology, The FASEB Journal, eNeuro and Nature Communications.
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.