Paige E. Cramer
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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- Neuroinflammation and Neurodegeneration Mechanisms 4
- Parkinson's Disease Mechanisms and Treatments 1
- Neurological Disease Mechanisms and Treatments 1
- Co-authors
- Gary E. Landreth (5 shared papers)J. Colleen Karlo (1 shared paper)Donald A. Wilson (1 shared paper)Daniel W. Wesson (1 shared paper)Kurt R. Brunden (1 shared paper)Michael J. James (1 shared paper)Brad T. Casali (1 shared paper)John R. Cirrito (1 shared paper)
- Journals
- Neurobiology of Aging (3 papers)Proceedings of the National Academy of Sciences (1 paper)Science (1 paper)Journal of Neuroscience (1 paper)Neuron (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Paige E. Cramer
7 papers receiving 2.0k citations
Paige E. Cramer's Hit Papers
Peers
Comparison fields: 5 of 95
- Neurology 442
- Physiology 1.1k
- Biological Psychiatry 98
- Cellular and Molecular Neuroscience 344
- Pharmacology 242
Countries citing papers authored by Paige E. Cramer
This map shows the geographic impact of Paige E. Cramer'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 Paige E. Cramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paige E. Cramer more than expected).
Fields of papers citing papers by Paige E. Cramer
This network shows the impact of papers produced by Paige E. Cramer. 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 Paige E. Cramer. The network helps show where Paige E. Cramer may publish in the future.
Co-authors
The 25 scholars most cited alongside Paige E. Cramer, 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 | ApoE-Directed Therapeutics Rapidly Clear β-Amyloid and Reverse Deficits in AD Mouse Models Hit paper breakdown → | 2012 | 860 |
| 2 | ApoE Promotes the Proteolytic Degradation of Aβ Hit paper breakdown → | 2008 | 720 |
| 3 | 2017 | 183 | |
| 4 | 2010 | 92 | |
| 5 | 2010 | 89 | |
| 6 | 2014 | 53 | |
| 7 | 2017 | 41 |
About Paige E. Cramer
Paige E. Cramer is a scholar working on Physiology, Neurology, Surgery, Molecular Biology and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 2.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cholesterol and Lipid Metabolism (2 papers), Parkinson's Disease Mechanisms and Treatments (1 paper), Memory and Neural Mechanisms (1 paper), Autophagy in Disease and Therapy (1 paper), Neurological Disease Mechanisms and Treatments (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Neurology (442 citations), Physiology (1.1k citations), Biological Psychiatry (98 citations), Cellular and Molecular Neuroscience (344 citations) and Pharmacology (242 citations). Paige E. Cramer has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Gary E. Landreth, J. Colleen Karlo, Donald A. Wilson, Daniel W. Wesson, Kurt R. Brunden, Michael J. James, Brad T. Casali, John R. Cirrito, Jessica L. Restivo and Brandy Wilkinson. Their work appears in journals such as Neurobiology of Aging, Proceedings of the National Academy of Sciences, Science, Journal of Neuroscience and Neuron.
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.