Brian E. Chen

2.8k total citations · 1 hit paper
20 papers, 2.0k citations indexed

About

Brian E. Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Brian E. Chen has authored 20 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Genetics. Recurrent topics in Brian E. Chen's work include Neurobiology and Insect Physiology Research (7 papers), CRISPR and Genetic Engineering (6 papers) and Virus-based gene therapy research (3 papers). Brian E. Chen is often cited by papers focused on Neurobiology and Insect Physiology Research (7 papers), CRISPR and Genetic Engineering (6 papers) and Virus-based gene therapy research (3 papers). Brian E. Chen collaborates with scholars based in Canada, United States and United Kingdom. Brian E. Chen's co-authors include Karel Svoboda, Joshua T. Trachtenberg, Joshua R. Sanes, Guoping Feng, Egbert Welker, Graham Knott, Vedrana Cvetkovska, Farida Emran, Dietmar Schmucker and Masahiro Kondo and has published in prestigious journals such as Nature, Cell and Nature Neuroscience.

In The Last Decade

Brian E. Chen

19 papers receiving 2.0k citations

Hit Papers

Long-term in vivo imaging of experience-dependent synapti... 2002 2026 2010 2018 2002 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian E. Chen Canada 10 1.2k 675 617 250 247 20 2.0k
Da‐Ting Lin United States 23 1.5k 1.3× 1.1k 1.6× 615 1.0× 151 0.6× 248 1.0× 60 2.5k
Linnaea Ostroff United States 16 1.5k 1.2× 1.0k 1.5× 988 1.6× 236 0.9× 246 1.0× 25 2.6k
Josef Špaček Czechia 17 1.7k 1.4× 877 1.3× 576 0.9× 354 1.4× 299 1.2× 31 2.4k
Hyung-Bae Kwon United States 19 1.6k 1.4× 1.0k 1.5× 559 0.9× 182 0.7× 204 0.8× 20 2.4k
Satoshi Watanabe Japan 22 1.4k 1.2× 436 0.6× 501 0.8× 174 0.7× 152 0.6× 57 2.0k
Takuma Mori Japan 16 920 0.8× 635 0.9× 622 1.0× 183 0.7× 126 0.5× 36 1.7k
Alexander A. Chubykin United States 19 1.1k 0.9× 923 1.4× 645 1.0× 170 0.7× 183 0.7× 34 2.0k
Akiya Watakabe Japan 25 1.1k 0.9× 695 1.0× 775 1.3× 227 0.9× 194 0.8× 59 2.0k
Kerry R. Delaney Canada 29 2.0k 1.7× 868 1.3× 959 1.6× 136 0.5× 334 1.4× 70 3.2k
Christian Löhmann Netherlands 24 1.5k 1.3× 978 1.4× 720 1.2× 267 1.1× 162 0.7× 45 2.4k

Countries citing papers authored by Brian E. Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Brian E. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Brian E. Chen. A scholar is included among the top collaborators of Brian E. Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian E. Chen. Brian E. Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Brian E., et al.. (2024). Tracking and measuring local protein synthesis in vivo. Development. 151(21).
2.
Tsai, Ching‐Yen, et al.. (2020). Autism-linked mutations of CTTNBP2 reduce social interaction and impair dendritic spine formation via diverse mechanisms. Acta Neuropathologica Communications. 8(1). 185–185. 23 indexed citations
3.
Chen, Brian E., et al.. (2019). Parental allele-specific protein expression in single cells In vivo. Developmental Biology. 454(1). 66–73. 4 indexed citations
4.
Chen, Brian E., et al.. (2019). FGF receptors are required for proper axonal branch targeting in Drosophila. Molecular Brain. 12(1). 84–84. 3 indexed citations
5.
Li, Jiajia, et al.. (2019). Achilles -Mediated and Sex-Specific Regulation of Circadian mRNA Rhythms in Drosophila. Journal of Biological Rhythms. 34(2). 131–143. 5 indexed citations
6.
Friedman, Hana, Farida Emran, Xiang-Jiao Yang, et al.. (2018). TIE: A Method to Electroporate Long DNA Templates into Preimplantation Embryos for CRISPR-Cas9 Gene Editing. The CRISPR Journal. 1(3). 223–229. 7 indexed citations
7.
Chen, Brian E., et al.. (2018). Protein and RNA Quantification of Multiple Genes in Single Cells. BioTechniques. 66(1). 15–21. 3 indexed citations
8.
Chen, Brian E., et al.. (2017). Generating stable cell lines with quantifiable protein production using CRISPR/Cas9-mediated knock-in. BioTechniques. 62(4). 165–174. 11 indexed citations
9.
Pavlou, Hania J., Andrew C. Lin, Megan C. Neville, et al.. (2016). Neural circuitry coordinating male copulation. eLife. 5. 41 indexed citations
10.
Armstrong, Gary A.B., Meijiang Liao, Zhipeng You, et al.. (2016). Homology Directed Knockin of Point Mutations in the Zebrafish tardbp and fus Genes in ALS Using the CRISPR/Cas9 System. PLoS ONE. 11(3). e0150188–e0150188. 91 indexed citations
11.
Chen, Brian E.. (2015). Down Syndrome Cell Adhesion Molecule, Mother of Innovations. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 43(1). 52–55. 1 indexed citations
12.
Suciu, Radu M., et al.. (2015). GeneDig: a web application for accessing genomic and bioinformatics knowledge. BMC Bioinformatics. 16(1). 67–67. 4 indexed citations
13.
Emran, Farida, et al.. (2015). Quantification of Protein Levels in Single Living Cells. Cell Reports. 13(11). 2634–2644. 69 indexed citations
14.
Cvetkovska, Vedrana, et al.. (2013). Overexpression of Down syndrome cell adhesion molecule impairs precise synaptic targeting. Nature Neuroscience. 16(6). 677–682. 57 indexed citations
15.
Cvetkovska, Vedrana, et al.. (2013). Structural and functional analysis of single neurons to correlate synaptic connectivity with grooming behavior. Nature Protocols. 9(1). 1–10. 14 indexed citations
16.
Neufeld, Shay Q., et al.. (2011). Opposing roles of PlexinA and PlexinB in axonal branch and varicosity formation. Molecular Brain. 4(1). 15–15. 7 indexed citations
17.
Chen, Brian E., Joshua T. Trachtenberg, Anthony Holtmaat, & Karel Svoboda. (2008). Long-Term, High-Resolution Imaging in the Neocortex In Vivo. Cold Spring Harbor Protocols. 2008(1). pdb.prot4902–pdb.prot4902. 6 indexed citations
18.
Chen, Brian E., et al.. (2006). The Molecular Diversity of Dscam Is Functionally Required for Neuronal Wiring Specificity in Drosophila. Cell. 125(3). 607–620. 155 indexed citations
19.
Trachtenberg, Joshua T., Brian E. Chen, Graham Knott, et al.. (2002). Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex. Nature. 420(6917). 788–794. 1462 indexed citations breakdown →
20.
Chen, Brian E., et al.. (2000). Imaging High-Resolution Structure of GFP-Expressing Neurons in Neocortex In Vivo. Learning & Memory. 7(6). 433–441. 54 indexed citations

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.

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