Gabriel E. Boyle
Impact in
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- Parkinson's Disease Mechanisms and Treatments
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- Pharmacogenetics and Drug Metabolism
Papers in
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- Pharmacogenetics and Drug Metabolism 4
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- Parkinson's Disease Mechanisms and Treatments 3
- Co-authors
- Douglas M. Fowler (4 shared papers)Maitreya J. Dunham (3 shared papers)Allan E. Rettie (2 shared papers)Katherine A. Sitko (2 shared papers)Sylvain Lesné (3 shared papers)Michael K. Lee (3 shared papers)Melissa A. Chiasson (1 shared paper)Fatou Amar (2 shared papers)
- Journals
- The Annual Review of Pharmacology and Toxicology (1 paper)Acta Neuropathologica Communications (1 paper)Bioinformatics (1 paper)The American Journal of Human Genetics (1 paper)The Pharmacogenomics Journal (1 paper)
- Partner nations
- United StatesSouth AfricaPoland
In The Last Decade
Gabriel E. Boyle
8 papers receiving 186 citations
Peers
Comparison fields: 5 of 44
- Neurology 53
- Pharmacology 25
- Biological Psychiatry 5
- Physiology 44
- Cellular and Molecular Neuroscience 27
Countries citing papers authored by Gabriel E. Boyle
This map shows the geographic impact of Gabriel E. Boyle'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 Gabriel E. Boyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel E. Boyle more than expected).
Fields of papers citing papers by Gabriel E. Boyle
This network shows the impact of papers produced by Gabriel E. Boyle. 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 Gabriel E. Boyle. The network helps show where Gabriel E. Boyle may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabriel E. Boyle, 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 | 2021 | 71 | |
| 2 | 2017 | 50 | |
| 3 | 2018 | 32 | |
| 4 | 2021 | 16 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2025 | 2 | |
| 9 | 2026 | 0 |
About Gabriel E. Boyle
Gabriel E. Boyle is a scholar working on Pharmacology, Neurology, Cellular and Molecular Neuroscience, Statistics and Probability and Physiology, having authored 9 papers that have together received 187 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Statistical Methods in Clinical Trials (2 papers), Alzheimer's disease research and treatments (2 papers), Nuclear Receptors and Signaling (2 papers), CRISPR and Genetic Engineering (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Neurology (53 citations), Pharmacology (25 citations), Biological Psychiatry (5 citations), Physiology (44 citations) and Cellular and Molecular Neuroscience (27 citations). Gabriel E. Boyle has collaborated with scholars based in United States, South Africa and Poland. Frequent co-authors include Douglas M. Fowler, Maitreya J. Dunham, Allan E. Rettie, Katherine A. Sitko, Sylvain Lesné, Michael K. Lee, Melissa A. Chiasson, Fatou Amar, Matthew G. McDonald and Lai Hong Wong. Their work appears in journals such as The Annual Review of Pharmacology and Toxicology, Acta Neuropathologica Communications, Bioinformatics, The American Journal of Human Genetics and The Pharmacogenomics Journal.
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.