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A Metabolomics study of metabolites associated with the glomerular filtration rate Journal article
Hongquan Peng, Xun Liu, Chiwa Ao Ieong, Tou Tou, Tsungyang Tsai, Haibin Zhu, Zhi Liu, Peijia Liu. A Metabolomics study of metabolites associated with the glomerular filtration rate[J]. BMC Nephrology, 2023, 24(1), 105.
Authors:  Hongquan Peng;  Xun Liu;  Chiwa Ao Ieong;  Tou Tou;  Tsungyang Tsai; et al.
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:2.2/2.6 | Submit date：2023/05/02
Biomarker  Chronic Kidney Disease (Ckd)  Glomerular Filtration Rate (Gfr)  Metabolite  Metabolomics  
Towards equations for estimating glomerular filtration rate without demographic characteristics Journal article
Peng, Hongquan, Ang, Irene Ling, Liu, Xun, Aoieong, Chiwa, Tou, Tou, Tsai, Tsungyang, Ngai, Kamleong, Cheang, Hao I., Liu, Peijia, Poon, Terence Chuen Wai. Towards equations for estimating glomerular filtration rate without demographic characteristics[J]. Clinical and Translational Medicine, 2022, 12(12), e1134.
Authors:  ; et al.
Adobe PDF | Favorite | TC[WOS]:1   IF:7.9/8.0 | Submit date：2023/08/31
Identification of metabolite markers associated with kidney function Journal article
Peng Hongquan, Liu Xun, Leong Chiwaao, Tou Tou, Tsa Tsungyang, Ngai Kamleong, Cheang Haoi, Liu Zhi, Liu Peijia, Zhu Haibin. Identification of metabolite markers associated with kidney function[J]. Journal of Immunology Research, 2022, 2022, 6190333.
Authors:  Peng Hongquan;  Liu Xun;  Leong Chiwaao;  Tou Tou;  Tsa Tsungyang; et al.
Favorite | TC[WOS]:14 TC[Scopus]:14  IF:3.5/4.2 | Submit date：2022/07/27
A two-stage neural network prediction of chronic kidney disease Journal article
Peng, Hongquan, Zhu, Haibin, Ieong, Chi Wa Ao, Tao, Tao, Tsai, Tsung Yang, Liu, Zhi. A two-stage neural network prediction of chronic kidney disease[J]. IET Systems Biology, 2021, 15(5), 163-171.
Authors:  Peng, Hongquan;  Zhu, Haibin;  Ieong, Chi Wa Ao;  Tao, Tao;  Tsai, Tsung Yang; et al.
Favorite | TC[WOS]:7 TC[Scopus]:8  IF:1.9/1.3 | Submit date：2021/12/08
A sub-6g sp32t single-chip switch with nanosecond switching speed for 5g applications in 0.25 µm gaas technology Journal article
Tianxiang Wu, Jipeng Wei, Hongquan Liu, Shunli Ma, Yong Chen, Junyan Ren. A sub-6g sp32t single-chip switch with nanosecond switching speed for 5g applications in 0.25 µm gaas technology[J]. Electronics (Switzerland), 2021, 10(12).
Authors:  Tianxiang Wu;  Jipeng Wei;  Hongquan Liu;  Shunli Ma;  Yong Chen; et al.
Favorite | TC[WOS]:9 TC[Scopus]:9  IF:2.6/2.6 | Submit date：2021/10/28
Gaas Process  Pseudomorphic High-electron-mobility Transistor (Phemt)  Single-pole 32-throw (Sp32t) Switch  Sub-6g