Yuejun Chen

2.4k total citations · 1 hit paper
45 papers, 1.4k citations indexed

About

Yuejun Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Yuejun Chen has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 9 papers in Developmental Neuroscience. Recurrent topics in Yuejun Chen's work include Pluripotent Stem Cells Research (13 papers), Neurogenesis and neuroplasticity mechanisms (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). Yuejun Chen is often cited by papers focused on Pluripotent Stem Cells Research (13 papers), Neurogenesis and neuroplasticity mechanisms (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). Yuejun Chen collaborates with scholars based in China, United States and Singapore. Yuejun Chen's co-authors include Su‐Chun Zhang, Man Xiong, Lan Ma, Jingyuan Cao, Yingying Zhou, Zhen‐Ge Luo, Wenhao Zhou, Zhongwei Du, Xiang-Chun Ju and Yang Li and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and The Journal of Cell Biology.

In The Last Decade

Yuejun Chen

43 papers receiving 1.4k citations

Hit Papers

Generation of vascularized brain organoids to study neuro... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuejun Chen China 20 968 520 207 203 111 45 1.4k
Elena Dvoretskova Germany 10 1.1k 1.2× 581 1.1× 292 1.4× 140 0.7× 167 1.5× 13 1.5k
Amanda J. Kedaigle United States 11 865 0.9× 243 0.5× 241 1.2× 269 1.3× 73 0.7× 14 1.3k
Nina S. Corsini Austria 9 855 0.9× 278 0.5× 299 1.4× 357 1.8× 100 0.9× 10 1.3k
Zheng Qin Yin China 26 1.4k 1.4× 546 1.1× 177 0.9× 205 1.0× 67 0.6× 122 2.3k
Abed AlFatah Mansour United States 10 1.1k 1.2× 312 0.6× 307 1.5× 388 1.9× 173 1.6× 12 1.6k
Cooper W Bloyd United States 3 619 0.6× 262 0.5× 261 1.3× 311 1.5× 113 1.0× 3 971
Bruna Paulsen Brazil 9 823 0.9× 207 0.4× 221 1.1× 283 1.4× 81 0.7× 15 1.1k
Angela Bithell United Kingdom 16 985 1.0× 431 0.8× 312 1.5× 138 0.7× 38 0.3× 27 1.4k
Sara Nolbrant Sweden 10 808 0.8× 466 0.9× 172 0.8× 72 0.4× 60 0.5× 16 1.0k
Maria Teresa Dell’Anno Italy 10 949 1.0× 493 0.9× 251 1.2× 138 0.7× 36 0.3× 15 1.2k

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-authorship network of co-authors of Yuejun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yuejun Chen. A scholar is included among the top collaborators of Yuejun 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 Yuejun Chen. Yuejun 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.
Yan, Wei, Qinqin Gao, Ziyan Wu, et al.. (2025). Human stem cell-derived A10 dopaminergic neurons specifically integrate into mouse circuits and improve depression-like behaviors. Cell stem cell. 32(9). 1457–1474.e7.
2.
3.
Peng, Jian, Zhaoqin Chen, Hui He, et al.. (2024). High-throughput mapping of single-neuron projection and molecular features by retrograde barcoded labeling. eLife. 13. 5 indexed citations
4.
Chen, Yuejun, et al.. (2024). The role of cardiac microenvironment in cardiovascular diseases: implications for therapy. Human Cell. 37(3). 607–624. 7 indexed citations
5.
Wang, Ziyao, Li Xu, Li Fang, et al.. (2023). microRNA-660 Enhances Cisplatin Sensitivity via Decreasing SATB2 Expression in Lung Adenocarcinoma. Genes. 14(4). 911–911. 4 indexed citations
6.
He, Hui, Qinqin Gao, Yingying Zhou, et al.. (2022). Human midbrain dopaminergic neuronal differentiation markers predict cell therapy outcomes in a Parkinson’s disease model. Journal of Clinical Investigation. 132(14). 25 indexed citations
7.
Jiang, Hua, Meng Fan, Yanjuan Chen, et al.. (2022). High-throughput FastCloning technology: A low-cost method for parallel cloning. PLoS ONE. 17(9). e0273873–e0273873. 2 indexed citations
8.
Ma, Ling, Yan Cheng, Xiaoli Ji, et al.. (2022). Fast generation of forebrain oligodendrocyte spheroids from human embryonic stem cells by transcription factors. iScience. 25(10). 105172–105172. 5 indexed citations
9.
Dong, Xin, Xin Chen, Mengdan Tao, et al.. (2020). Human cerebral organoids establish subcortical projections in the mouse brain after transplantation. Molecular Psychiatry. 26(7). 2964–2976. 86 indexed citations
10.
Cui, Kangli, Yaqing Wang, Yujuan Zhu, et al.. (2020). Neurodevelopmental impairment induced by prenatal valproic acid exposure shown with the human cortical organoid-on-a-chip model. Microsystems & Nanoengineering. 6(1). 49–49. 59 indexed citations
12.
Dong, Yi, Man Xiong, Yuejun Chen, et al.. (2020). Plasticity of Synaptic Transmission in Human Stem Cell-Derived Neural Networks. iScience. 23(2). 100829–100829. 14 indexed citations
13.
Chen, Yuejun, Man Xiong, Yi Dong, et al.. (2016). Chemical Control of Grafted Human PSC-Derived Neurons in a Mouse Model of Parkinson’s Disease. Cell stem cell. 18(6). 817–826. 118 indexed citations
14.
Chen, Yuejun, Jingyuan Cao, Man Xiong, et al.. (2015). Engineering Human Stem Cell Lines with Inducible Gene Knockout using CRISPR/Cas9. Cell stem cell. 17(2). 233–244. 131 indexed citations
15.
Gao, Qinqin, Wenqing Yao, Yezheng Tao, et al.. (2015). Post-training activation of Rac1 in the basolateral amygdala is required for the formation of both short-term and long-term auditory fear memory. Frontiers in Molecular Neuroscience. 8. 65–65. 26 indexed citations
16.
Long, Hui, et al.. (2012). Myo9b and RICS Modulate Dendritic Morphology of Cortical Neurons. Cerebral Cortex. 23(1). 71–79. 17 indexed citations
17.
Wu, Ziyan, et al.. (2012). Targeted Ubiquitination and Degradation of G-Protein-Coupled Receptor Kinase 5 by the DDB1-CUL4 Ubiquitin Ligase Complex. PLoS ONE. 7(8). e43997–e43997. 19 indexed citations
18.
Chen, Yuejun, Hui Long, Ziyan Wu, Xi Jiang, & Lan Ma. (2008). EGF Transregulates Opioid Receptors through EGFR-mediated GRK2 Phosphorylation and Activation. Molecular Biology of the Cell. 19(7). 2973–2983. 57 indexed citations
19.
Zhang, Xiaoqing, Feifei Wang, Xiaohong Chen, Yuejun Chen, & Lan Ma. (2008). Post‐endocytic fates of δ‐opioid receptor are regulated by GRK2‐mediated receptor phosphorylation and distinct β‐arrestin isoforms. Journal of Neurochemistry. 106(2). 781–792. 39 indexed citations
20.
Chen, Yuejun, et al.. (2008). Chronic, but Not Acute Morphine Treatment, Up-regulates α-Ca2+/calmodulin Dependent Protein Kinase II Gene Expression in Rat Brain. Neurochemical Research. 33(10). 2092–2098. 18 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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