Brian Halabisky
Impact in
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms
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- Neuroscience and Neuropharmacology Research
- Nuclear Receptors and Signaling
Papers in
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- Neuroscience and Neuropharmacology Research 8
- Photoreceptor and optogenetics research 2
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- Alzheimer's disease research and treatments 9
- Co-authors
- Lennart Mucke (6 shared papers)Gui-Qiu Yu (5 shared papers)Nino Devidze (5 shared papers)Jorge J. Palop (4 shared papers)Binggui Sun (4 shared papers)Yungui Zhou (4 shared papers)Li Gan (4 shared papers)Julie A. Harris (3 shared papers)
- Journals
- Journal of Neurophysiology (3 papers)Journal of Neuroscience (3 papers)Cell stem cell (2 papers)Neuron (2 papers)Nature (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
Brian Halabisky
13 papers receiving 2.5k citations
Brian Halabisky's Hit Papers
Peers
Comparison fields: 5 of 92
- Neurology 547
- Cellular and Molecular Neuroscience 1.2k
- Developmental Neuroscience 269
- Physiology 1.5k
- Biological Psychiatry 137
Countries citing papers authored by Brian Halabisky
This map shows the geographic impact of Brian Halabisky'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 Halabisky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Halabisky more than expected).
Fields of papers citing papers by Brian Halabisky
This network shows the impact of papers produced by Brian Halabisky. 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 Halabisky. The network helps show where Brian Halabisky may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Halabisky, 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 | Amyloid-β/Fyn–Induced Synaptic, Network, and Cognitive Impairments Depend on Tau Levels in Multiple Mouse Models of Alzheimer's Disease Hit paper breakdown → | 2011 | 523 |
| 2 | 2010 | 329 | |
| 3 | 2008 | 289 | |
| 4 | 2010 | 246 | |
| 5 | 2009 | 215 | |
| 6 | 2011 | 212 | |
| 7 | 2008 | 186 | |
| 8 | 2009 | 176 | |
| 9 | 2000 | 113 | |
| 10 | 2010 | 109 | |
| 11 | 2006 | 89 | |
| 12 | 2010 | 43 | |
| 13 | 2003 | 34 |
About Brian Halabisky
Brian Halabisky is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Pharmacology and Cognitive Neuroscience, having authored 13 papers that have together received 2.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Olfactory and Sensory Function Studies (2 papers), Photoreceptor and optogenetics research (2 papers), Neural dynamics and brain function (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Neurology (547 citations), Cellular and Molecular Neuroscience (1.2k citations), Developmental Neuroscience (269 citations), Physiology (1.5k citations) and Biological Psychiatry (137 citations). Brian Halabisky has collaborated with scholars based in United States and Sweden. Frequent co-authors include Lennart Mucke, Gui-Qiu Yu, Nino Devidze, Jorge J. Palop, Binggui Sun, Yungui Zhou, Li Gan, Julie A. Harris, Iris Lo and Moustapha Cissé. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Cell stem cell, Neuron and Nature.
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.