Brian E. Chen

2.8k citations
20 papers · 2.1k · 1 hit paper · h-index 10

Impact in

Papers in

Brian E. Chen

20 papers receiving 2.1k citations

Brian E. Chen's Hit Papers

Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex 2002 · 1.6k citations
1.6k0+8+16Years since publication50010001.5k

Peers

Brian E. Chen
Comparison fields: 5 of 123
  • Cellular and Molecular Neuroscience 1.2k
  • Developmental Neuroscience 252
  • Biophysics 211
  • Cognitive Neuroscience 633
  • Neurology 254
Replace Matthew Lovett-Barron with:
Matthew Lovett-Barron United States
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Mark S. Cembrowski United States
Takuma Mori Japan
Bryan M. Hooks United States
Josef Špaček Czechia
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Brian E. Chen relative to Matthew Lovett-Barron United States Matthew Lovett-Barron's profile →
Citations per field
00.5×1.5×
Matthew Lovett-Barron · 1×
Citations per year

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-authors

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.

Border = papers with Brian E. Chen Line = papers co-authored together Brian E. Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex
Hit paper breakdown →
20021556
2 2006165
3 2016100
4 201571
5 200060
6 201358
7 201642
8 202023
9 201314
10 201712
11 20087
12 20187
13 20117
14 20195
15 20194
16 20154
17 20193
18 20183
19 20241
20 20151

About Brian E. Chen

Brian E. Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cell Biology and Biophysics, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), CRISPR and Genetic Engineering (5 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Cell Image Analysis Techniques (3 papers), Virus-based gene therapy research (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Developmental Neuroscience (252 citations), Biophysics (211 citations), Cognitive Neuroscience (633 citations) and Neurology (254 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 Fiona L. Watson. Their work appears in journals such as BioTechniques, Molecular Brain, Nature Protocols, Developmental Biology and Acta Neuropathologica Communications.

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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