Pamela J. McLean
- Neurology top 0.05%
- Molecular Biology top 1%
- Physiology top 0.2%
- Cellular and Molecular Neuroscience top 0.2%
- Cell Biology top 0.2%
- Co-authors
- Bradley T. HymanJochen KluckenTiago F. OuteiroYoungah ShinHibiki KawamataDarius Ebrahimi‐FakhariKarin M. DanzerEliezer Masliah
- Topics
- Parkinson's Disease Mechanisms and Treatments (79 papers)Alzheimer's disease research and treatments (30 papers)Nerve injury and regeneration (13 papers)
- 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
- Molecular Biology 4.3k
- Physiology 4.3k
- Cellular and Molecular Neuroscience 3.7k
- Cell Biology 2.2k
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 of co-authors of Pamela J. McLean
This figure shows the co-authorship network connecting the top 25 collaborators of Pamela J. McLean. A scholar is included among the top collaborators of Pamela J. McLean 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 Pamela J. McLean. Pamela J. McLean is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 23 | |
| 6 | 85 | |
| 7 | 92 | |
| 8 | 35 | |
| 9 | 46 | |
| 10 | 3 | |
| 11 | 171 | |
| 12 | 43 | |
| 13 | Sirtuin 2 Inhibitors Rescue α-Synuclein-Mediated Toxicity in Models of Parkinson's Diseasebreakdown → | 853 |
| 14 | 53 | |
| 15 | 203 | |
| 16 | 32 | |
| 17 | 419 | |
| 18 | 29 | |
| 19 | 198 | |
| 20 | 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) and Nerve injury and regeneration (13 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.