Hongxia Y. Yu
State Key Laboratory Of Water Pollution Control And Green Resource Recycling
Nanjing, 210023, China
Nanjing, 210023, China
Last Updated: 09/26/2026
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Found 141 publications
AOP-Guided Toxicogenomic Mapping Profiles for Mechanism-Informed Toxicity Pattern Prediction in Zebrafish.
Journal: Environmental science & technology
Published: May 08, 2026
Mechanism Based Hierarchical Machine Learning for High-Throughput Quantitative Prediction of Estrogenic, Androgenic, and Thyroid Disruption Activities.
Journal: Environmental science & technology
Published: January 30, 2026
Uncovering Overlooked Fluorinated Compounds by Multi-Strategy Nontarget Screening in an Urban River System in China.
Journal: Environmental science & technology
Published: January 21, 2026
Beyond Competitive Binding: New Biochemical Insights Challenge Endocrine Disrupting Chemical Screening Paradigms.
Journal: Environmental science & technology
Published: August 19, 2025
Quantitative prediction of zebrafish reproductive impairment via androgen receptor-driven adverse outcome pathway.
Journal: Aquatic toxicology (Amsterdam, Netherlands)
Published: August 07, 2025
Pharmaceutical-dominated organic contaminants in plateau lakes: Suspect and non-target screening, PBT risk, and structure-based risk markers.
Journal: Water research
Published: June 22, 2025
Mechanism Directed Toxicity Testing and Instrumental Analysis Make Key Toxicant Identification More Targeted and Efficient: A Case in the Yangtze River.
Journal: Environmental science & technology
Published: June 10, 2025
Novel Approach to Screen Endocrine-Disrupting Chemicals via Endocrine-Enhanced Reduced Human Transcriptome.
Journal: Environmental science & technology
Published: March 05, 2025
Advancing the Effect-Directed Identification in Combined Pollution: Using Pathways to Link Effects and Toxicants.
Journal: Environmental science & technology
Published: October 11, 2024
Identification of Key Toxic Substances Considering Metabolic Activation: A Combination of Transcriptome and Nontarget Analysis.
Journal: Environmental science & technology
Published: August 09, 2024
High-Efficiency Effect-Directed Analysis Leveraging Five High Level Advancements: A Critical Review.
High-Efficiency Effect-Directed Analysis Leveraging Five High Level Advancements: A Critical Review.
Journal: Environmental science & technology
Published: May 31, 2024
Machine learning-enhanced molecular network reveals global exposure to hundreds of unknown PFAS.
Journal: Science advances
Published: May 23, 2024
Last Updated: 09/26/2026