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Weijian Chen
Researcher at Swinburne University of Technology
Publications - 68
Citations - 2091
Weijian Chen is an academic researcher from Swinburne University of Technology. The author has contributed to research in topics: Perovskite (structure) & Medicine. The author has an hindex of 17, co-authored 51 publications receiving 1054 citations. Previous affiliations of Weijian Chen include University of New South Wales.
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Journal ArticleDOI
CCL25/CCR9 interaction promotes the malignant behavior of salivary adenoid cystic carcinoma via the PI3K/AKT signaling pathway
Songling Chai,Zhihao Wen,Rongxin Zhang,Yuwen Bai,Jing Liu,Juanjuan Li,Wenyao Kongling,Weijian Chen,Fu Wang,Lu Gao +9 more
TL;DR: In vivo data from the xenograft mouse models proved that CCL25 administration promoted malignant tumor progression by activating the PI3K/AKT pathway, offering a promising strategy for SACC treatment.
Posted ContentDOI
Ultralong free-standing single crystal perovskite microwires with extremely low dark current
Xiangshun Geng,Qixin Feng,He Tian,Weijian Chen,Xiaoming Wen,Baohua Jia,Chaolun Wang,Xing Wu,Guanhua Dun,Jun Ren,Ning-Qin Deng,Fangwei Wang,Zhaoyi Yan,Hainan Zhang,Cheng Li,Yi Yang,Dan Xie,Tian-Ling Ren +17 more
TL;DR: In this article, ultralong (up to 7.6 centimeters) monoclinic crystal structure CH3NH3PbI3·DMF PMWs have been synthesized.
Journal ArticleDOI
Reduced Circulating Soluble Receptor for Advanced Glycation End-products in Chronic Hepatitis B Are Associated with Hepatic Necroinflammation
TL;DR: In this paper , Wang et al. used soluble receptor for advanced glycation end-products (sRAGE) as a potential alternative biomarker for monitoring hepatic necroinflammation in CHB.
Journal ArticleDOI
Classification of the mitochondrial ribosomal protein-associated molecular subtypes and identified a serological diagnostic biomarker in hepatocellular carcinoma
TL;DR: In this article , the relative molecular subtypes of MRPs in hepatocellular carcinoma (HCC) patients were categorized using an unsupervised clustering method, which provided valuable strategies for the prediction of prognosis and clinical personalized treatment.