Brian E. Chen
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- Neurobiology and Insect Physiology Research 7
- Developmental Neuroscience top 2%
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques 3
- Cell Image Analysis Techniques 3
- Cognitive Neuroscience top 5%
- Neurology top 5%
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- CRISPR and Genetic Engineering 6
- Viral Infectious Diseases and Gene Expression in Insects 2
- RNA modifications and cancer 2
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- Virus-based gene therapy research 3
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- Physiological and biochemical adaptations 2
- Co-authors
- Karel SvobodaJoshua T. TrachtenbergJoshua R. SanesGraham KnottEgbert WelkerGuoping FengVedrana CvetkovskaFarida Emran
- Journals
- BioTechniques (2 papers)Molecular Brain (2 papers)Acta Neuropathologica Communications (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Brian E. Chen
19 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cellular and Molecular Neuroscience 1.2k
- Developmental Neuroscience 250
- Biophysics 202
- Cognitive Neuroscience 617
- Neurology 247
Countries citing papers authored by Brian E. Chen
This map shows the geographic impact of Brian E. Chen'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 E. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian E. Chen more than expected).
Fields of papers citing papers by Brian E. Chen
This network shows the impact of papers produced by Brian E. Chen. 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 E. Chen. The network helps show where Brian E. Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian E. Chen, 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 | 23 | |
| 3 | 2019 | 4 | |
| 4 | 2019 | 3 | |
| 5 | 2019 | 5 | |
| 6 | 2018 | 7 | |
| 7 | 2018 | 3 | |
| 8 | 2017 | 11 | |
| 9 | 2016 | 91 | |
| 10 | 2016 | 41 | |
| 11 | 2015 | 1 | |
| 12 | 2015 | 4 | |
| 13 | 2015 | 69 | |
| 14 | 2013 | 14 | |
| 15 | 2013 | 57 | |
| 16 | 2011 | 7 | |
| 17 | 2008 | 6 | |
| 18 | 2006 | 155 | |
| 19 | Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortexbreakdown → | 2002 | 1462 |
| 20 | 2000 | 54 |
About Brian E. Chen
Brian E. Chen is a scholar working on Aging, Biophysics and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), CRISPR and Genetic Engineering (6 papers), Virus-based gene therapy research (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Cell Image Analysis Techniques (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), RNA modifications and cancer (2 papers) and Physiological and biochemical adaptations (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Developmental Neuroscience (250 citations) and Biophysics (202 citations). Brian E. Chen has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Karel Svoboda, Joshua T. Trachtenberg, Joshua R. Sanes, Graham Knott, Egbert Welker, Guoping Feng, Vedrana Cvetkovska, Farida Emran, Masahiro Kondo and Dietmar Schmucker. Their work appears in journals such as BioTechniques, Molecular Brain, Acta Neuropathologica Communications, The CRISPR Journal and BMC Bioinformatics.
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.