Xue-Lian Jia

Most-cited papers

1. Application of Machine Learning and Mechanistic Modeling to Predict Intravenous Pharmacokinetic Profiles in Humans

   Xue-Lian Jia, Donato Teutonico, Saroj Dhakal, Y. Psarellis +4 more

   2025Journal of Medicinal Chemistry29 citations Open access

   Semantic Scholar

   Save

2. Unbound fractions of PFAS in Human and Rodent Tissues: Rat liver a suitable proxy for evaluating emerging PFAS?

   Sangwoo Ryu, Woodrow Burchett, Sam Zhang, Xue-Lian Jia +7 more

   2024Environmental Science and Technology29 citations Open access

   Semantic Scholar

   Save

3. An Online Nanoinformatics Platform Empowering Computational Modeling of Nanomaterials by Nanostructure Annotations and Machine Learning Toolkits

   Tong Wang, Daniel P. Russo, Philip Demokritou, Xue-Lian Jia +3 more

   2024Nano letters (Print)18 citations Open access

   Semantic Scholar

   Save

4. Hybrid non-animal modeling: A mechanistic approach to predict chemical hepatotoxicity

   Elena Chung, Xia Wen, Xue-Lian Jia, Heather L. Ciallella +2 more

   2024Journal of Hazardous Materials13 citations Open access

   Semantic Scholar

   Save

5. Developmental toxicity: Artificial Intelligence-Powered Assessments

   Tong Wang, Xue-Lian Jia, L. Aleksunes, Hui Shen +2 more

   2025TIPS - Trends in Pharmacological Sciences8 citations Open access

   Semantic Scholar

   Save

6. Deletion of hepatic FXR leads to more severe MASH development in female mice

   Zakiyah R. Henry, Laura E. Armstrong, Syeda Maliha, Xue-Lian Jia +20 more

   2025Hepatology Communications4 citations

   Semantic Scholar

   Save

7. vToxiNet: a biologically constrained deep learning framework for interpretable prediction of drug-induced hepatotoxicity

   Xue-Lian Jia, Tong Wang, Daniel P. Russo, Lauren M. Aleksunes +2 more

   2026bioRxiv1 citations Open access

   Semantic Scholar

   Save

8. Machine Learning and Mechanistic Modeling to Predict Intravenous Pharmacokinetic Profiles in Humans

   Xue-Lian Jia, Donato Teutonico, Saroj Dhakal, Y. Psarellis +4 more

   2026Machine Learning and Mechanistic Modeling to Predict Intravenous Pharmacokinetic Profiles in Humans0 citations Open access

   Semantic Scholar

   Save

9. vToxiNet: An interpretable deep learning framework for hepatotoxicity prediction and mechanism exploration.

   Xue-Lian Jia, Tong Wang, Daniel P. Russo, L. Aleksunes +2 more

   2026Journal of Hazardous Materials0 citations Open access

   Semantic Scholar

   Save

10. PREDICTIVE MODELING FOR CHEMICAL DEVELOPMENTAL TOXICITY ASSESSMENTS

    Hao Zhu, S. Shende, Swati Sharma, Daniel P. Russo +3 more

    20200 citations

    Semantic Scholar

    Save

11. Unbound Fractions of PFAS in Human and Rodent Tissues: Rat Unbound Fractions of PFAS in Human and Rodent Tissues: Rat Liver a Suitable Proxy for Evaluating Emerging PFAS? Liver a Suitable Proxy for Evaluating Emerging PFAS?

    Sangwoo Ryu, Woodrow Burchett, Sam Zhang, Xue-Lian Jia +8 more

    0 citations

    Semantic Scholar

    Save