Pamela J. McLean
- Neurology top 0.05%
- Parkinson's Disease Mechanisms and Treatments 79
- Neurological disorders and treatments 11
- Neurology top 0.2%
- Parkinson's Disease Mechanisms and Treatments 79
- Neurological disorders and treatments 11
- Cellular and Molecular Neuroscience top 0.2%
- Nerve injury and regeneration 13
- Nuclear Receptors and Signaling 13
- Genetic Neurodegenerative Diseases 11
- Physiology top 0.2%
- Alzheimer's disease research and treatments 30
- Geriatrics and Gerontology top 0.5%
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- Endoplasmic Reticulum Stress and Disease 12
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- Heat shock proteins research 10
- Co-authors
- Bradley T. HymanJochen KluckenTiago F. OuteiroYoungah ShinHibiki KawamataDarius Ebrahimi‐FakhariKarin M. DanzerEliezer Masliah
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Pamela J. McLean
109 papers receiving 11.9k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Neurology 6.4k
- Neurology 1.7k
- Cellular and Molecular Neuroscience 3.7k
- Physiology 4.3k
- Geriatrics and Gerontology 605
Countries citing papers authored by Pamela J. McLean
This map shows the geographic impact of Pamela J. McLean'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 Pamela J. McLean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela J. McLean more than expected).
Fields of papers citing papers by Pamela J. McLean
This network shows the impact of papers produced by Pamela J. McLean. 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 Pamela J. McLean. The network helps show where Pamela J. McLean may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pamela J. McLean, 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 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 4 | |
| 5 | 2020 | 23 | |
| 6 | 2019 | 85 | |
| 7 | 2017 | 92 | |
| 8 | 2016 | 35 | |
| 9 | 2010 | 46 | |
| 10 | 2010 | 3 | |
| 11 | 2009 | 171 | |
| 12 | 2009 | 43 | |
| 13 | Sirtuin 2 Inhibitors Rescue α-Synuclein-Mediated Toxicity in Models of Parkinson's Diseasebreakdown → | 2007 | 853 |
| 14 | 2007 | 53 | |
| 15 | 2006 | 203 | |
| 16 | 2004 | 32 | |
| 17 | 2004 | 419 | |
| 18 | 2002 | 29 | |
| 19 | 2001 | 198 | |
| 20 | 2000 | 211 |
About Pamela J. McLean
Pamela J. McLean is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cell Biology, having authored 112 papers that have together received 12.0k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (79 papers), Alzheimer's disease research and treatments (30 papers), Nerve injury and regeneration (13 papers), Nuclear Receptors and Signaling (13 papers), Endoplasmic Reticulum Stress and Disease (12 papers), Genetic Neurodegenerative Diseases (11 papers), Neurological disorders and treatments (11 papers) and Heat shock proteins research (10 papers). The work is most often cited by research in Neurology (6.4k citations), Neurology (1.7k citations) and Cellular and Molecular Neuroscience (3.7k citations). Pamela J. McLean has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Bradley T. Hyman, Jochen Klucken, Tiago F. Outeiro, Youngah Shin, Hibiki Kawamata, Darius Ebrahimi‐Fakhari, Karin M. Danzer, Eliezer Masliah, Preeti Putcha and Marion Delenclos. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.