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Cited by in F6Publishing
For: Xia P, Peng Y, Fang W, Tian M, Shen Y, Ma C, Crump D, O'Brien JM, Shi W, Zhang X. Cross-Model Comparison of Transcriptomic Dose-Response of Short-Chain Chlorinated Paraffins. Environ Sci Technol 2021;55:8149-58. [PMID: 34038106 DOI: 10.1021/acs.est.1c00975] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Guan M, Wang X, Pan Y, Xu Y, Cao Y, Yan L, Ma L, Ma F, Zhang X. Delving into the molecular initiating event of cadmium toxification via the dose-dependent functional genomics approach in Saccharomyces cerevisiae. Environ Pollut 2023;323:121287. [PMID: 36791950 DOI: 10.1016/j.envpol.2023.121287] [Reference Citation Analysis]
2 Gou X, Ma C, Ji H, Yan L, Wang P, Wang Z, Lin Y, Chatterjee N, Yu H, Zhang X. Prediction of zebrafish embryonic developmental toxicity by integrating omics with adverse outcome pathway. J Hazard Mater 2023;448:130958. [PMID: 36860045 DOI: 10.1016/j.jhazmat.2023.130958] [Reference Citation Analysis]
3 Tian M, Xia P, Yan L, Gou X, Yu H, Zhang X. Human functional genomics reveals toxicological mechanism underlying genotoxicants-induced inflammatory responses under low doses exposure. Chemosphere 2023;314:137658. [PMID: 36584827 DOI: 10.1016/j.chemosphere.2022.137658] [Reference Citation Analysis]
4 Yuan B, de Wit CA. Temporal Trends and Age-Dependent Sex Differences in Chlorinated Paraffin Accumulation in Moose. Environ Sci Technol Lett 2022. [DOI: 10.1021/acs.estlett.2c00672] [Reference Citation Analysis]
5 Chen J, Wang B, Huang J, Deng S, Wang Y, Blaney L, Brennan GL, Cagnetta G, Jia Q, Yu G. A machine-learning approach clarifies interactions between contaminants of emerging concern. One Earth 2022. [DOI: 10.1016/j.oneear.2022.10.006] [Reference Citation Analysis]
6 Tian M, Xia P, Yan L, Gou X, Giesy JP, Dai J, Yu H, Zhang X. Toxicological Mechanism of Individual Susceptibility to Formaldehyde-Induced Respiratory Effects. Environ Sci Technol 2022;56:6511-24. [PMID: 35438505 DOI: 10.1021/acs.est.1c07945] [Reference Citation Analysis]
7 Xia P, Wang P, Fang W, Zhang X. Adverse Outcome Pathway Network-Based Chemical Risk Assessment Using High-Throughput Transcriptomics. Advances in Toxicology and Risk Assessment of Nanomaterials and Emerging Contaminants 2022. [DOI: 10.1007/978-981-16-9116-4_13] [Reference Citation Analysis]