Brian Hsueh
- Biophysics top 0.5%
- Advanced Fluorescence Microscopy Techniques 2
- Cell Image Analysis Techniques 2
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- Photoreceptor and optogenetics research 3
- Neuroscience and Neural Engineering 3
- Hepatology top 5%
- Developmental Neuroscience top 5%
- Structural Biology top 5%
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- Advanced MRI Techniques and Applications 3
- Advanced Neuroimaging Techniques and Applications 3
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- Neural dynamics and brain function 2
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- Pancreatic function and diabetes 2
- Co-authors
- Karl DeisserothRaju TomerRicardo E. DolmetschMasayuki YazawaYe LiAmir Masoud SadaghianiAnca M. PașcaJoachim Hallmayer
- Partner nations
- United StatesSwedenAustria
In The Last Decade
Brian Hsueh
17 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Biophysics 480
- Cellular and Molecular Neuroscience 861
- Hepatology 230
- Developmental Neuroscience 103
- Structural Biology 32
Countries citing papers authored by Brian Hsueh
This map shows the geographic impact of Brian Hsueh'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 Hsueh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Hsueh more than expected).
Fields of papers citing papers by Brian Hsueh
This network shows the impact of papers produced by Brian Hsueh. 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 Hsueh. The network helps show where Brian Hsueh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian Hsueh, 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 | 0 | |
| 2 | 2020 | 150 | |
| 3 | 2020 | 18 | |
| 4 | 2019 | 64 | |
| 5 | 2018 | 22 | |
| 6 | 2017 | 85 | |
| 7 | 2017 | 48 | |
| 8 | 2017 | 8 | |
| 9 | 2017 | 26 | |
| 10 | 2017 | 21 | |
| 11 | 2017 | 42 | |
| 12 | 2016 | 244 | |
| 13 | Hybrid Periportal Hepatocytes Regenerate the Injured Liver without Giving Rise to Cancerbreakdown → | 2015 | 361 |
| 14 | Advanced CLARITY for rapid and high-resolution imaging of intact tissuesbreakdown → | 2014 | 593 |
| 15 | 2014 | 49 | |
| 16 | 2013 | 99 | |
| 17 | Using induced pluripotent stem cells to investigate cardiac phenotypes in Timothy syndromebreakdown → | 2011 | 496 |
| 18 | 2009 | 323 |
About Brian Hsueh
Brian Hsueh is a scholar working on Structural Biology, Biophysics, Behavioral Neuroscience, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 18 papers that have together received 2.6k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (3 papers), Advanced MRI Techniques and Applications (3 papers), Neuroscience and Neural Engineering (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Neural dynamics and brain function (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Pancreatic function and diabetes (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Biophysics (480 citations), Cellular and Molecular Neuroscience (861 citations), Hepatology (230 citations), Developmental Neuroscience (103 citations) and Structural Biology (32 citations). Brian Hsueh has collaborated with scholars based in United States, Sweden and Austria. Frequent co-authors include Karl Deisseroth, Raju Tomer, Ricardo E. Dolmetsch, Masayuki Yazawa, Ye Li, Amir Masoud Sadaghiani, Anca M. Pașca, Joachim Hallmayer, Jonathan A. Bernstein and Xiaolin Jia. Their work appears in journals such as Scientific Reports, NeuroImage, Cell, Nature Biotechnology 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.