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Cited by in F6Publishing
For: Zhu S, Zhang J, Lv Z, Zhu P, Oo C, Yu M, Sy SKB. Prediction of Tissue Exposures of Meropenem, Colistin, and Sulbactam in Pediatrics Using Physiologically Based Pharmacokinetic Modeling. Clin Pharmacokinet 2022. [PMID: 35947360 DOI: 10.1007/s40262-022-01161-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 De Sutter PJ, De Cock P, Johnson TN, Musther H, Gasthuys E, Vermeulen A. Predictive Performance of Physiologically Based Pharmacokinetic Modelling of Beta-Lactam Antibiotic Concentrations in Adipose, Bone, and Muscle Tissues. Drug Metab Dispos 2023;51:499-508. [PMID: 36639242 DOI: 10.1124/dmd.122.001129] [Reference Citation Analysis]
2 Jiayuan Zhang, Shuo Diao, Yanfei Liu, Hongxiang Wang, Yuwei Liu, Shixing Zhu, Kun Feng, Xiaoqian Tang, Charles Oo, Peijuan Zhu, Zhihua Lv, Mingming Yu, Sherwin K. B. Sy, Yuanqi Zhu. The combination effect of meropenem/sulbactam/polymyxin-B on the pharmacodynamic parameters for mutant selection windows against carbapenem-resistant Acinetobacter baumannii. Front Microbiol 2022;13:1024702. [PMID: 36483204 DOI: 10.3389/fmicb.2022.1024702] [Reference Citation Analysis]
3 Zhou X, Dun J, Chen X, Xiang B, Dang Y, Cao D. Predicting the correct dose in children: Role of computational Pediatric Physiological-based pharmacokinetics modeling tools. CPT Pharmacometrics Syst Pharmacol 2023;12:13-26. [PMID: 36330677 DOI: 10.1002/psp4.12883] [Reference Citation Analysis]
4 Zhu S, Zhang J, Song C, Liu Y, Oo C, Heinrichs MT, Lv Z, Zhu Y, Sy SKB, Deng P, Yu M. Metabolomic profiling of polymyxin-B in combination with meropenem and sulbactam against multi-drug resistant Acinetobacter baumannii. Front Microbiol 2022;13:1013934. [DOI: 10.3389/fmicb.2022.1013934] [Reference Citation Analysis]