Brian Mackey
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Meteorological Phenomena and Simulations 4
- Tropical and Extratropical Cyclones Research 3
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- Climate variability and models 4
- Hydrology and Drought Analysis 1
- Co-authors
- Steven M. Paul (3 shared papers)Leah Sartorius (3 shared papers)David M. Holtzman (3 shared papers)Anne M. Fagan (3 shared papers)Tanya Tenkova (3 shared papers)Kelly R. Bales (3 shared papers)Daniel W. McKeel (1 shared paper)David F. Wozniak (1 shared paper)
- Journals
- Annals of Neurology (2 papers)Monthly Weather Review (1 paper)Weather and Forecasting (1 paper)Journal of the Meteorological Society of Japan Ser II (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesIrelandGreece
In The Last Decade
Brian Mackey
8 papers receiving 1.2k citations
Brian Mackey's Hit Papers
Peers
Comparison fields: 5 of 68
- Physiology 806
- Neurology 153
- Biological Psychiatry 38
- Pharmacology 214
- Cellular and Molecular Neuroscience 234
Countries citing papers authored by Brian Mackey
This map shows the geographic impact of Brian Mackey'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 Brian Mackey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Mackey more than expected).
Fields of papers citing papers by Brian Mackey
This network shows the impact of papers produced by Brian Mackey. 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 Brian Mackey. The network helps show where Brian Mackey may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Mackey, 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 | Apolipoprotein E isoform-dependent amyloid deposition and neuritic degeneration in a mouse model of Alzheimer's disease Hit paper breakdown → | 2000 | 732 |
| 2 | 2000 | 271 | |
| 3 | 2005 | 77 | |
| 4 | 2014 | 62 | |
| 5 | 2002 | 40 | |
| 6 | 2001 | 19 | |
| 7 | 2000 | 13 | |
| 8 | 2011 | 13 |
About Brian Mackey
Brian Mackey is a scholar working on Atmospheric Science, Global and Planetary Change, Pharmacology, Physiology and Psychiatry and Mental health, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Climate variability and models (4 papers), Meteorological Phenomena and Simulations (4 papers), Alzheimer's disease research and treatments (3 papers), Tropical and Extratropical Cyclones Research (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Dementia and Cognitive Impairment Research (2 papers), Cannabis and Cannabinoid Research (1 paper) and Hydrology and Drought Analysis (1 paper). The work is most often cited by research in Physiology (806 citations), Neurology (153 citations), Biological Psychiatry (38 citations), Pharmacology (214 citations) and Cellular and Molecular Neuroscience (234 citations). Brian Mackey has collaborated with scholars based in United States, Ireland and Greece. Frequent co-authors include Steven M. Paul, Leah Sartorius, David M. Holtzman, Anne M. Fagan, Tanya Tenkova, Kelly R. Bales, Daniel W. McKeel, David F. Wozniak, Maia Parsadanian and John W. Olney. Their work appears in journals such as Annals of Neurology, Monthly Weather Review, Weather and Forecasting, Journal of the Meteorological Society of Japan Ser II 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.