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Ionic Liquid-Induced 1D Perovskite: Exploring 1D Perovskite Structure to 1D/3D Heterojunction-Based Photovoltaics Journal article
Wang, Fei, Zhou, Kang, Zhou, Chao, Liang, Xiao, Wang, Taomiao, Sun, Yonggui, Li, Yongjun, Li, Qiannan, Zhou, Xianfang, Yang, Guo, Duan, Dawei, Zhu, Jiajie, Zhu, Quanyao, Lin, Haoran, Shi, Yumeng, Yang, Chunming, Xing, Guichuan, Hu, Hanlin. Ionic Liquid-Induced 1D Perovskite: Exploring 1D Perovskite Structure to 1D/3D Heterojunction-Based Photovoltaics[J]. Advanced Energy Materials, 2024.
Authors:  Wang, Fei;  Zhou, Kang;  Zhou, Chao;  Liang, Xiao;  Wang, Taomiao; et al.
Favorite | TC[WOS]:9 TC[Scopus]:12  IF:24.4/27.2 | Submit date：2024/05/16
1d/3d Perovskite  Ion migratIon  Ionic Liquids  Stability  
Targeting proprotein convertase subtilisin/kexin type 9 (PCSK9): from bench to bedside Review article
2024
Authors:  Bao, Xuhui;  Liang, Yongjun;  Chang, Hanman;  Cai, Tianji;  Feng, Baijie; et al.
Favorite | TC[WOS]:19 TC[Scopus]:18  IF:40.8/40.5 | Submit date：2024/05/16
Targeting proprotein convertase subtilisin/kexin type 9 (PCSK9): from bench to bedside Journal article
Bao, Xuhui, Yongjun Liang, Hanman Chang, CAI TIANJI, Baijie Feng, Konstantin Gordon, Yuekun Zhu, Hailian Shi, Yundong He, Liyi Xie. Targeting proprotein convertase subtilisin/kexin type 9 (PCSK9): from bench to bedside[J]. Signal Transduction and Targeted Therapy, 2024, 9(13).
Authors:  Bao, Xuhui;  Yongjun Liang;  Hanman Chang;  CAI TIANJI;  Baijie Feng; et al.
Favorite | TC[Scopus]:11  IF:40.8/40.5 | Submit date：2024/08/02
Development of a Clinical Risk Score Prediction Tool for 5-, 9-, and 13-Year Risk of Dementia Journal article
Ren, Lina, Liang, Junxian, Wan, Feng, Wang, Yongjun, Dai, Xi Jian. Development of a Clinical Risk Score Prediction Tool for 5-, 9-, and 13-Year Risk of Dementia[J]. JAMA Network Open, 2022, 5(11), e2242596.
Authors:  Ren, Lina;  Liang, Junxian;  Wan, Feng;  Wang, Yongjun;  Dai, Xi Jian
Favorite | TC[WOS]:7 TC[Scopus]:8  IF:10.5/11.0 | Submit date：2022/12/01
Development of in silico methodology for siRNA lipid nanoparticle formulations Journal article
Gao, Haoshi, Kan, Stanislav, Ye, Zhuyifan, Feng, Yuchen, Jin, Lei, Zhang, Xudong, Deng, Jiayin, Chan, Ging, Hu, Yuanjia, Wang, Yongjun, Cao, Dongsheng, Ji, Yuanhui, Liang, Mingtao, Li, Haifeng, Ouyang, Defang. Development of in silico methodology for siRNA lipid nanoparticle formulations[J]. Chemical Engineering Journal, 2022, 442, 136310.
Authors:  Gao, Haoshi;  Kan, Stanislav;  Ye, Zhuyifan;  Feng, Yuchen;  Jin, Lei; et al.
Favorite | TC[WOS]:15 TC[Scopus]:16  IF:13.3/13.2 | Submit date：2022/05/13
Cationic Lipids  Knockdown Efficiency  Lipid Nanoparticle  Machine Learning  Molecular Dynamic Simulation  Sirna  
Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356 Other
2016-01-01
Authors:  Klionsky, Daniel J.;  Abdelmohsen, Kotb;  Abe, Akihisa;  Abedin, Md Joynal;  Abeliovich, Hagai; et al.
Favorite | TC[WOS]:407 TC[Scopus]:24 | Submit date：2022/07/20