Megan E. McLellan
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Physiology top 2%
- Alzheimer's disease research and treatments
Papers in
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- Alzheimer's disease research and treatments 6
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- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Brian J. Bacskai (6 shared papers)Stephen T. Kajdasz (6 shared papers)Bradley T. Hyman (6 shared papers)Chester A. Mathis (2 shared papers)Yanming Wang (2 shared papers)Manik L. Debnath (2 shared papers)William E. Klunk (2 shared papers)Matthew P. Frosch (2 shared papers)
- Journals
- Journal of Neuroscience (3 papers)Journal of Neuropathology & Experimental Neurology (2 papers)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United States
In The Last Decade
Megan E. McLellan
6 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Neurology 341
- Physiology 924
- Biological Psychiatry 66
- Computational Theory and Mathematics 208
- Cellular and Molecular Neuroscience 223
Countries citing papers authored by Megan E. McLellan
This map shows the geographic impact of Megan E. McLellan'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 Megan E. McLellan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan E. McLellan more than expected).
Fields of papers citing papers by Megan E. McLellan
This network shows the impact of papers produced by Megan E. McLellan. 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 Megan E. McLellan. The network helps show where Megan E. McLellan may publish in the future.
Co-authors
The 15 scholars most cited alongside Megan E. McLellan, 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 | 2002 | 324 | |
| 2 | 2002 | 283 | |
| 3 | 2002 | 273 | |
| 4 | 2003 | 140 | |
| 5 | 2003 | 129 | |
| 6 | 2003 | 83 |
About Megan E. McLellan
Megan E. McLellan is a scholar working on Physiology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Neurology and Molecular Biology, having authored 6 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Neuroscience and Neuropharmacology Research (3 papers), Computational Drug Discovery Methods (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Tryptophan and brain disorders (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Neurology (341 citations), Physiology (924 citations), Biological Psychiatry (66 citations), Computational Theory and Mathematics (208 citations) and Cellular and Molecular Neuroscience (223 citations). Megan E. McLellan has collaborated with scholars based in United States. Frequent co-authors include Brian J. Bacskai, Stephen T. Kajdasz, Bradley T. Hyman, Chester A. Mathis, Yanming Wang, Manik L. Debnath, William E. Klunk, Matthew P. Frosch, Daniel P. Holt and Dale Schenk. Their work appears in journals such as Journal of Neuroscience, Journal of Neuropathology & Experimental Neurology and Bioorganic & Medicinal Chemistry Letters.
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.