L
Liang Chen
Researcher at Fudan University
Publications - 298
Citations - 7808
Liang Chen is an academic researcher from Fudan University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 41, co-authored 239 publications receiving 5373 citations. Previous affiliations of Liang Chen include Donghua University & Shanghai University.
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Effect of pH-Responsive Alginate/Chitosan Multilayers Coating on Delivery Efficiency, Cellular Uptake and Biodistribution of Mesoporous Silica Nanoparticles Based Nanocarriers
TL;DR: A simple layer-by-layer self-assembly technique capable of constructing mesoporous silica nanoparticles (MSNs) into a pH-responsive drug delivery system with enhanced efficacy and biocompatibility is proposed.
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Flower-like PEGylated MoS2 nanoflakes for near-infrared photothermal cancer therapy.
Wei Feng,Liang Chen,Qin Ming,Xiaojun Zhou,Qianqian Zhang,Yingke Miao,Kexin Qiu,Yanzhong Zhang,Chuanglong He +8 more
TL;DR: The results indicated that an effective photothermal killing of cancer cells could be achieved by a low concentration of nanoflakes under a low power NIR 808-nm laser irradiation, and cancer cell in vivo could be efficiently destroyed via the photothermal effect of MoS2-PEG nanofLakes under the irradiation.
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BMP-2 Derived Peptide and Dexamethasone Incorporated Mesoporous Silica Nanoparticles for Enhanced Osteogenic Differentiation of Bone Mesenchymal Stem Cells
TL;DR: Collectively, the BMP-2 peptide and DEX incorporated MSNs can act synergistically to enhance osteogenic differentiation of BMSCs, which have potential applications in bone tissue engineering.
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Three-dimensional porous scaffold by self-assembly of reduced graphene oxide and nano-hydroxyapatite composites for bone tissue engineering
Wei Nie,Cheng Peng,Xiaojun Zhou,Liang Chen,Weizhong Wang,Yanzhong Zhang,Peter X. Ma,Chuanglong He +7 more
TL;DR: 3D porous RGO composite prepared from graphene oxide and nano-hydroxyapatite via self-assembly has a promising capacity to stimulate mineralization and promote the in vivo defect healing.
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Noninvasive IDH1 mutation estimation based on a quantitative radiomics approach for grade II glioma
Jinhua Yu,Zhifeng Shi,Yuxi Lian,Zeju Li,Tongtong Liu,Yuan Gao,Yuanyuan Wang,Liang Chen,Ying Mao +8 more
TL;DR: Radiomics is a potentially useful approach for estimating IDH1 mutation status noninvasively using conventional T2-FLAIR MRI images, and the estimation accuracy could potentially be improved by using multiple imaging modalities.