Yuejun Chen

2.4k citations
45 papers · 1.4k indexed · 1 hit paper · h-index 20

Impact in

Papers in

Yuejun Chen

43 papers receiving 1.4k citations

Hit Papers

Generation of vascularized brain organoids to study neurovascular interactions 2022 · 222 citations
222202220262023202450100150200

Peers

Yuejun Chen
Comparison fields: 5 of 101
  • Developmental Neuroscience 207
  • Cellular and Molecular Neuroscience 520
  • Aging 27
  • Molecular Biology 968
  • Neurology 92
Replace Nasir Malik with:
Nasir Malik United States
Gaia Colasante Italy
Isaac A. Chaim United States
Javier Jarazo Luxembourg
Mika Soen Japan
Taisuke Kadoshima Japan
Shauna H. Yuan United States
Mackenzie W. Amoroso United States
Elena Dvoretskova Germany
Chelsea Gelboin-Burkhart United States
Yuejun Chen relative to Nasir Malik United States Nasir Malik's profile →
Citations per field
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Nasir Malik · 1×
Citations per year

Countries citing papers authored by Yuejun Chen

Since Specialization
Citations

This map shows the geographic impact of Yuejun 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 Yuejun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuejun Chen more than expected).

Fields of papers citing papers by Yuejun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuejun 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 Yuejun Chen. The network helps show where Yuejun Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Yuejun 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 Yuejun Chen Line = papers co-authored together Yuejun Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Generation of vascularized brain organoids to study neurovascular interactions
Hit paper breakdown →
2022222
2 2015131
3 2016118
4 2020118
5 202189
6 202086
7 201486
8 202059
9 200857
10 200839
11 201827
12 201526
13 201526
14 202225
15 201124
16 201623
17 201023
18 201520
19 201219
20 200419

About Yuejun Chen

Yuejun Chen is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Neurology and Cell Biology, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (13 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Neuroscience and Neural Engineering (6 papers), Receptor Mechanisms and Signaling (6 papers), CRISPR and Genetic Engineering (5 papers), Single-cell and spatial transcriptomics (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). The work is most often cited by research in Developmental Neuroscience (207 citations), Cellular and Molecular Neuroscience (520 citations), Aging (27 citations), Molecular Biology (968 citations) and Neurology (92 citations). Yuejun Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Su‐Chun Zhang, Man Xiong, Lan Ma, Jingyuan Cao, Yingying Zhou, Wenhao Zhou, Zhongwei Du, Zhen‐Ge Luo, Xiang-Chun Ju and Yang Li. Their work appears in journals such as Cell stem cell, eLife, iScience, PLoS ONE and Physiology and Molecular Biology of Plants.

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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