| Quasi-SMILES-based nano-quantitative structure–activity relationship model to predict the cytotoxicity of multiwalled carbon nanotubes to human lung cells TX Trinh, JS Choi, H Jeon, HG Byun, TH Yoon, J Kim Chemical research in toxicology 31 (3), 183-190, 2018 | 85 | 2018 |
| Quasi-QSAR for predicting the cell viability of human lung and skin cells exposed to different metal oxide nanomaterials JS Choi, TX Trinh, TH Yoon, J Kim, HG Byun Chemosphere 217, 243-249, 2019 | 75 | 2019 |
| Reliable predictive computational toxicology methods for mixture toxicity: toward the development of innovative integrated models for environmental risk assessment J Kim, S Kim, GE Schaumann Reviews in Environmental Science and Bio/Technology 12 (3), 235-256, 2013 | 50 | 2013 |
| Investigation of the Synergistic Toxicity of Binary Mixtures of Pesticides and Pharmaceuticals on Aliivibrio fischeri in Major River Basins in South Korea IH Baek, Y Kim, S Baik, J Kim International Journal of Environmental Research and Public Health 16 (2), 208, 2019 | 25 | 2019 |
| Evaluation of Exposure Assessment Tools under REACH: Part I—Tier 1 Tools EG Lee, J Lamb, N Savic, I Basinas, C Gasic, Bojan, Jung, ML Kashon, ... Annals of Work Exposures and Health 63 (2), 218-229, 2019 | 23 | 2019 |
| Passive dosing versus solvent spiking for controlling and maintaining hydrophobic organic compound exposure in the Microtox® assay KEC Smith, Y Jeong, J Kim Chemosphere 139, 174-180, 2015 | 22 | 2015 |
| Evaluation of exposure assessment tools under REACH: part II—higher tier tools EG Lee, J Lamb, N Savic, I Basinas, B Gasic, C Jung, ML Kashon, J Kim, ... Annals of work exposures and health 63 (2), 230-241, 2019 | 21 | 2019 |
| State of the art in the application of QSAR techniques for predicting mixture toxicity in environmental risk assessment J Kim, S Kim SAR and QSAR in Environmental Research 26 (1), 41-59, 2015 | 17 | 2015 |
| Development of QSAR-based two-stage prediction model for estimating mixture toxicity J Kim, S Kim, GE Schaumann SAR and QSAR in Environmental Research 24 (10), 841-861, 2013 | 16 | 2013 |
| Developing random forest based QSAR models for predicting the mixture toxicity of TiO2 based nano-mixtures to Daphnia magna TX Trinh, M Seo, TH Yoon, J Kim NanoImpact 25, 100383, 2022 | 15 | 2022 |
| Investigation on combined inhalation exposure scenarios to biocidal mixtures: biocidal and household chemical products in South Korea S Kim, M Seo, M Na, J Kim Toxics 9 (2), 32, 2021 | 15 | 2021 |
| Status quo in data availability and predictive models of nano-mixture toxicity TX Trinh, J Kim Nanomaterials 11 (1), 124, 2021 | 15 | 2021 |
| Development of a partial least squares–based integrated addition model for predicting mixture toxicity J Kim, S Kim, GE Schaumann Human and Ecological Risk Assessment: An International Journal 20 (1), 174-200, 2014 | 14 | 2014 |
| Identification of linkages between EDCs in personal care products and breast cancer through data integration combined with gene network analysis H Jeong, J Kim, Y Kim International Journal of Environmental Research and Public Health 14 (10), 1158, 2017 | 12 | 2017 |
| Prediction of Synergistic Toxicity of Binary Mixtures to Vibrio fischeri Based on Biomolecular Interaction Networks J Kim, M Fischer, V Helms Chemical Research in Toxicology 31 (11), 1138-1150, 2018 | 8 | 2018 |
| Novel QSAR models for molecular initiating event modeling in two intersecting adverse outcome pathways based pulmonary fibrosis prediction for biocidal mixtures M Seo, CH Chae, Y Lee, HR Kim, J Kim Toxics 9 (3), 59, 2021 | 7 | 2021 |
| Ensemble learning for predicting ex vivo human placental barrier permeability CY Chou, P Lin, J Kim, SS Wang, CC Wang, CW Tung BMC bioinformatics 22 (Suppl 10), 629, 2021 | 5 | 2021 |
| A survey data on ecotoxicological synergistic effects from binary pesticide mixtures J Kim, R Pasupuleti, S Kim Toxicology Letters, S211, 2014 | 4 | 2014 |
| Current trends in read-across applications for chemical risk assessments and chemical registrations in the Republic of Korea SH Lee, J Kim, J Kim, J Park, S Park, KB Kim, BM Lee, S Kwon JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH, PART B 25 (6), 1-12, 2022 | 3 | 2022 |
| Thermochemical study for remediation of highly concentrated acid spill: Computational modeling and experimental validation H Jung, T Shin, N Cho, T Kim, J Kim, TI Ryu, KB Song, SR Hwang, ... Chemosphere 247, 126098, 2020 | 3 | 2020 |
Xuan-Tung TrinhHanyang UniversityEmail verificata su hanyang.ac.kr
