Brian Y. Chow
- Cellular and Molecular Neuroscience top 0.5%
- Photoreceptor and optogenetics research 19
- Neuroscience and Neural Engineering 7
- Neuroscience and Neuropharmacology Research 3
- Cognitive Neuroscience top 2%
- Aging top 5%
- Biophysics top 5%
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- Light effects on plants 12
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- Photosynthetic Processes and Mechanisms 7
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- Molecular Communication and Nanonetworks 5
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- Molecular Junctions and Nanostructures 3
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- Photochromic and Fluorescence Chemistry 3
Brian Y. Chow
32 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Cellular and Molecular Neuroscience 1.9k
- Cognitive Neuroscience 718
- Endocrine and Autonomic Systems 217
- Aging 47
- Biophysics 76
Countries citing papers authored by Brian Y. Chow
This map shows the geographic impact of Brian Y. Chow'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 Y. Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Y. Chow more than expected).
Fields of papers citing papers by Brian Y. Chow
This network shows the impact of papers produced by Brian Y. Chow. 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 Y. Chow. The network helps show where Brian Y. Chow may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian Y. Chow, 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 | 2023 | 4 | |
| 2 | 2021 | 23 | |
| 3 | 2021 | 21 | |
| 4 | 2020 | 14 | |
| 5 | 2019 | 6 | |
| 6 | 2019 | 11 | |
| 7 | 2018 | 21 | |
| 8 | 2018 | 11 | |
| 9 | 2018 | 15 | |
| 10 | 2016 | 56 | |
| 11 | Noninvasive optical inhibition with a red-shifted microbial rhodopsin | 2014 | 375 |
| 12 | 2013 | 215 | |
| 13 | Genetically encoded molecular tools for light-driven silencing of targeted neurons [Chapter 3] | 2012 | 1 |
| 14 | 2012 | 3 | |
| 15 | 2012 | 44 | |
| 16 | 2011 | 363 | |
| 17 | 2011 | 4 | |
| 18 | 2011 | 35 | |
| 19 | High-performance genetically targetable optical neural silencing by light-driven proton pumpsbreakdown → | 2010 | 875 |
| 20 | 2004 | 3 |
About Brian Y. Chow
Brian Y. Chow is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Plant Science, having authored 32 papers that have together received 2.6k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (19 papers), Light effects on plants (12 papers), Photosynthetic Processes and Mechanisms (7 papers), Neuroscience and Neural Engineering (7 papers), Molecular Communication and Nanonetworks (5 papers), Molecular Junctions and Nanostructures (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Photochromic and Fluorescence Chemistry (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Cognitive Neuroscience (718 citations) and Endocrine and Autonomic Systems (217 citations). Brian Y. Chow has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Edward S. Boyden, Xue Han, Amy S. Chuong, Gabriel M. Belfort, Yingxi Lin, Patrick E. Monahan, Mingjie Li, Allison S. Dobry, Xiaofeng Qian and Michael Henninger. Their work appears in journals such as Proceedings of the National Academy of Sciences, ACS Synthetic Biology, Langmuir, Biochemistry and Methods in enzymology on CD-ROM/Methods in enzymology.
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.