Brian J. Bacskai
- Neurology top 0.05%
- Neuroinflammation and Neurodegeneration Mechanisms 36
- Intracerebral and Subarachnoid Hemorrhage Research 23
- Physiology top 0.05%
- Alzheimer's disease research and treatments 107
- Biological Psychiatry top 0.2%
- Cellular and Molecular Neuroscience top 0.1%
- Neuroscience and Neuropharmacology Research 48
- Biophysics top 0.2%
- Advanced Fluorescence Microscopy Techniques 18
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- Photoacoustic and Ultrasonic Imaging 19
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- Optical Imaging and Spectroscopy Techniques 17
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- Computational Drug Discovery Methods 14
- Co-authors
- Bradley T. HymanMónica García‐AllozaMatthew P. FroschSteven M. GreenbergTara L. Spires‐JonesKishore V. KuchibhotlaJesse SkochStephen T. Kajdasz
- Journals
- Nature (3 papers)Science (3 papers)Proceedings of the National Academy of Sciences (7 papers)
- Partner nations
- United StatesSpainNetherlands
In The Last Decade
Brian J. Bacskai
189 papers receiving 19.3k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Neurology 4.2k
- Physiology 10.4k
- Biological Psychiatry 849
- Cellular and Molecular Neuroscience 5.5k
- Biophysics 964
Countries citing papers authored by Brian J. Bacskai
This map shows the geographic impact of Brian J. Bacskai'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 J. Bacskai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian J. Bacskai more than expected).
Fields of papers citing papers by Brian J. Bacskai
This network shows the impact of papers produced by Brian J. Bacskai. 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 J. Bacskai. The network helps show where Brian J. Bacskai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian J. Bacskai, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 19 | |
| 5 | 2022 | 22 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 20 | |
| 9 | 2019 | 41 | |
| 10 | 2018 | 34 | |
| 11 | Emerging concepts in sporadic cerebral amyloid angiopathybreakdown → | 2017 | 341 |
| 12 | 2013 | 150 | |
| 13 | 2012 | 34 | |
| 14 | 2009 | 28 | |
| 15 | 2009 | 26 | |
| 16 | 2008 | 82 | |
| 17 | Curcumin labels amyloid pathology in vivo , disrupts existing plaques, and partially restores distorted neurites in an Alzheimer mouse modelbreakdown → | 2007 | 519 |
| 18 | 2006 | 65 | |
| 19 | 2005 | 23 | |
| 20 | 1997 | 39 |
About Brian J. Bacskai
Brian J. Bacskai is a scholar working on Neurology, Physiology and Biophysics, having authored 194 papers that have together received 19.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (107 papers), Neuroscience and Neuropharmacology Research (48 papers), Neuroinflammation and Neurodegeneration Mechanisms (36 papers), Intracerebral and Subarachnoid Hemorrhage Research (23 papers), Photoacoustic and Ultrasonic Imaging (19 papers), Advanced Fluorescence Microscopy Techniques (18 papers), Optical Imaging and Spectroscopy Techniques (17 papers) and Computational Drug Discovery Methods (14 papers). The work is most often cited by research in Neurology (4.2k citations), Physiology (10.4k citations) and Biological Psychiatry (849 citations). Brian J. Bacskai has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Bradley T. Hyman, Mónica García‐Alloza, Matthew P. Frosch, Steven M. Greenberg, Tara L. Spires‐Jones, Kishore V. Kuchibhotla, Jesse Skoch, Stephen T. Kajdasz, Carli Lattarulo and Anete Rozkalne. Their work appears in journals such as Nature, Science 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.