David R. Graykowski
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
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- Alzheimer's disease research and treatments 6
-
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Co-authors
- Morgan Sheng (2 shared papers)Yizhi Wang (1 shared paper)Mei-Fang Xiao (1 shared paper)Paul F. Worley (1 shared paper)Jesse E. Hanson (1 shared paper)Borislav Dejanovic (1 shared paper)Jeffrey N. Savas (1 shared paper)Jiechao Zhou (1 shared paper)
- Journals
- Neuron (2 papers)Science Translational Medicine (1 paper)iScience (1 paper)Science Advances (1 paper)Nature Aging (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
David R. Graykowski
9 papers receiving 476 citations
David R. Graykowski's Hit Papers
Peers
Comparison fields: 5 of 52
- Neurology 170
- Physiology 184
- Developmental Neuroscience 15
- Cellular and Molecular Neuroscience 59
- Psychiatry and Mental health 47
Countries citing papers authored by David R. Graykowski
This map shows the geographic impact of David R. Graykowski'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 David R. Graykowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Graykowski more than expected).
Fields of papers citing papers by David R. Graykowski
This network shows the impact of papers produced by David R. Graykowski. 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 David R. Graykowski. The network helps show where David R. Graykowski may publish in the future.
Co-authors
The 25 scholars most cited alongside David R. Graykowski, 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 | Complement C1q-dependent excitatory and inhibitory synapse elimination by astrocytes and microglia in Alzheimer’s disease mouse models Hit paper breakdown → | 2022 | 237 |
| 2 | 2023 | 97 | |
| 3 | 2024 | 40 | |
| 4 | 2020 | 34 | |
| 5 | 2022 | 23 | |
| 6 | 2025 | 22 | |
| 7 | 2021 | 11 | |
| 8 | 2025 | 9 | |
| 9 | 2020 | 8 | |
| 10 | 2026 | 0 |
About David R. Graykowski
David R. Graykowski is a scholar working on Physiology, Neurology, Polymers and Plastics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 10 papers that have together received 481 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Photoreceptor and optogenetics research (1 paper), Conducting polymers and applications (1 paper), Extracellular vesicles in disease (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Neurology (170 citations), Physiology (184 citations), Developmental Neuroscience (15 citations), Cellular and Molecular Neuroscience (59 citations) and Psychiatry and Mental health (47 citations). David R. Graykowski has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Morgan Sheng, Yizhi Wang, Mei-Fang Xiao, Paul F. Worley, Jesse E. Hanson, Borislav Dejanovic, Jeffrey N. Savas, Jiechao Zhou, John Cornelis Van Swieten and Arun Upadhyay. Their work appears in journals such as Neuron, Science Translational Medicine, iScience, Science Advances and Nature Aging.
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.