| Evaluation of atmospheric boundary layer height from wind profiling radar and slab models and its responses to seasonality of land cover, subsidence, and advection C Rey‐Sanchez, S Wharton, J Vilà‐Guerau de Arellano, KT Paw U, ... Journal of Geophysical Research: Atmospheres 126 (7), e2020JD033775, 2021 | 20 | 2021 |
| COSMOS next generation–A public knowledge base leveraging chemical and biological data to support the regulatory assessment of chemicals C Yang, MTD Cronin, KB Arvidson, B Bienfait, SJ Enoch, B Heldreth, ... Computational Toxicology 19, 100175, 2021 | 16 | 2021 |
| Development of a Battery of In Silico Prediction Tools for Drug-Induced Liver Injury from the Vantage Point of Translational Safety Assessment J Rathman, C Yang, JV Ribeiro, A Mostrag, S Thakkar, W Tong, ... Chemical Research in Toxicology 34 (2), 601-615, 2020 | 9 | 2020 |
| The role of a molecular informatics platform to support next generation risk assessment C Yang, JF Rathman, B Bienfait, M Burbank, A Detroyer, SJ Enoch, ... Computational Toxicology 26, 100272, 2023 | 6 | 2023 |
| High throughput read-across for screening a large inventory of related structures by balancing artificial intelligence/machine learning and human knowledge C Yang, JF Rathman, A Mostrag, JV Ribeiro, B Hobocienski, T Magdziarz, ... Chemical Research in Toxicology 36 (7), 1081-1106, 2023 | 4 | 2023 |
| Integration of evidence to evaluate the potential for neurobehavioral effects following exposure to USFDA-approved food colors R Gentry, T Greene, G Chappell, I Lea, S Borghoff, C Yang, J Rathman, ... Food and Chemical Toxicology 151, 112097, 2021 | 3 | 2021 |
| Evaluation of QSAR models for predicting mutagenicity: outcome of the Second Ames/QSAR international challenge project A Furuhama, A Kitazawa, J Yao, CE Matos Dos Santos, J Rathman, ... SAR and QSAR in Environmental Research 34 (12), 983-1001, 2023 | 2 | 2023 |
| Update of the Cancer Potency Database (CPDB) to enable derivations of Thresholds of Toxicological Concern (TTC) for cancer potency C Yang, JF Rathman, JV Ribeiro, M Batke, SE Escher, JW Firman, ... Food and Chemical Toxicology 182, 114182, 2023 | 1 | 2023 |
| P04-23 A knowledge hub leveraging public resources to improve in silico chemical safety assessment C Yang, J Marusczyk, E Benfenati, B Hobocienski, T Husøy, D Jennen, ... Toxicology Letters 368, S108, 2022 | | 2022 |
| Development of Chemical and Toxicological Domains to Support a Chemoinformatics Tool to Identify Chemicals Promoting Cholestatic Liver Injury MT Cronin, SJ Belfield, JW Firman, B Hobocienski, T Magdziarz, ... Toxicology Letters 368, S104-S104, 2022 | | 2022 |
| SOC-V-04 A high throughput screening concept for read-across of a large inventory of related structures J Rathman, C Yang, T Magdziarz, A Mostrag, B Hobocienski, JV Ribeiro, ... Toxicology Letters 368, S64, 2022 | | 2022 |
| RE: Response to the Office of Environmental Health Hazard Assessment on comments related to Gentry et al.(2021) R Gentry, J Rodricks, H Clewell, T Greene, G Chappell, I Lea, S Borghoff, ... Food and chemical toxicology: an international journal published for the …, 2021 | | 2021 |
| An Evolutionary-Based Algorithm for Descriptor Selection and Local Modeling of Chemical Toxicity Data. JV Ribeiro Leite SIlva The Ohio State University, 2016 | | 2016 |
| USING MACHINE LEARNING TECHNIQUES FOR IDENTIFICATION AND IMPROVEMENT OF CHEMICAL DESCRIPTORS IN QSAR MODELING. JV Ribeiro Leite SIlva The Ohio State University, 0 | | |
