| The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. L Shi, G Campbell, WD Jones, F Campagne, Z Wen, SJ Walker, Z Su, ... Nature biotechnology 28 (8), 827, 2010 | 819 | 2010 |
| Drug-induced liver injury: Interactions between drug properties and host factors M Chen, A Suzuki, J Borlak, RJ Andrade, MI Lucena Journal of hepatology 63 (2), 503-514, 2015 | 435 | 2015 |
| FDA-approved drug labeling for the study of drug-induced liver injury M Chen, V Vijay, Q Shi, Z Liu, H Fang, W Tong Drug discovery today 16 (15-16), 697-703, 2011 | 394 | 2011 |
| High lipophilicity and high daily dose of oral medications are associated with significant risk for drug‐induced liver injury M Chen, J Borlak, W Tong Hepatology 58 (1), 388-396, 2013 | 336 | 2013 |
| DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans M Chen, A Suzuki, S Thakkar, K Yu, C Hu, W Tong Drug discovery today 21 (4), 648-653, 2016 | 267 | 2016 |
| Application of ethyl chloroformate derivatization for gas chromatography-mass spectrometry based metabonomic profiling Y Qiu, M Su, Y Liu, M Chen, J Gu, J Zhang, W Jia Analytica chimica acta 583 (2), 277-283, 2007 | 196 | 2007 |
| Metabonomic study on the biochemical profiles of a hydrocortisone-induced animal model M Chen, L Zhao, W Jia Journal of proteome research 4 (6), 2391-2396, 2005 | 180 | 2005 |
| Metabonomic study of aristolochic acid-induced nephrotoxicity in rats M Chen, M Su, L Zhao, J Jiang, P Liu, J Cheng, Y Lai, Y Liu, W Jia Journal of proteome research 5 (4), 995-1002, 2006 | 166 | 2006 |
| A Decade of Toxicogenomic Research and Its Contribution to Toxicological Science M Chen, M Zhang, J Borlak, W Tong Toxicological Sciences, 2012 | 163 | 2012 |
| Metabolic profiling using combined GC-MS and LC-MS provides a systems understanding of aristolochic acid-induced nephrotoxicity in rat Y Ni, M Su, Y Qiu, M Chen, Y Liu, A Zhao, W Jia FEBS letters 581 (4), 707-711, 2007 | 144 | 2007 |
| Measures for determining the similarity of chemical fingerprint and a method of evaluating the measures YY Cheng, MJ Chen, YJ Wu ACTA CHIMICA SINICA-CHINESE EDITION- 60 (11), 2017-2021, 2002 | 144* | 2002 |
| [Application of metabonomics in complicated theory system research of traditional Chinese medicine] W Jia, P Liu, J Jiang, MJ Chen, LP Zhao, MM Zhou, LP Yang, MQ Wang, ... Zhongguo Zhong yao za zhi= Zhongguo zhongyao zazhi= China journal of Chinese …, 2006 | 143* | 2006 |
| Predicting Hepatotoxicity Using ToxCast in Vitro Bioactivity and Chemical Structure J Liu, K Mansouri, RS Judson, MT Martin, H Hong, M Chen, X Xu, ... Chemical research in toxicology 28 (4), 738-751, 2015 | 141 | 2015 |
| Toward predictive models for drug-induced liver injury in humans: are we there yet? M Chen, H Bisgin, L Tong, H Hong, H Fang, J Borlak, W Tong Biomarkers in medicine 8 (2), 201-213, 2014 | 140 | 2014 |
| High daily dose and being a substrate of cytochrome P450 enzymes are two important predictors of drug-induced liver injury K Yu, X Geng, M Chen, J Zhang, B Wang, K Ilic, W Tong Drug Metabolism and Disposition 42 (4), 744-750, 2014 | 103 | 2014 |
| Quantitative structure-activity relationship models for predicting drug-induced liver injury based on FDA-approved drug labeling annotation and using a large collection of drugs M Chen, H Hong, H Fang, R Kelly, G Zhou, J Borlak, W Tong toxicological sciences 136 (1), 242-249, 2013 | 98 | 2013 |
| A review on machine learning methods for in silico toxicity prediction G Idakwo, J Luttrell, M Chen, H Hong, Z Zhou, P Gong, C Zhang Journal of Environmental Science and Health, Part C 36 (4), 169-191, 2018 | 97 | 2018 |
| The liver toxicity knowledge base: a systems approach to a complex end point M Chen, J Zhang, Y Wang, Z Liu, R Kelly, G Zhou, H Fang, J Borlak, ... Clinical Pharmacology & Therapeutics 93 (5), 409-412, 2013 | 94 | 2013 |
| A Model to predict severity of drug‐induced liver injury in humans M Chen, J Borlak, W Tong Hepatology 64 (3), 931-940, 2016 | 87 | 2016 |
| Development of decision forest models for prediction of drug-induced liver injury in humans using a large set of FDA-approved drugs H Hong, S Thakkar, M Chen, W Tong Scientific reports 7 (1), 17311, 2017 | 76 | 2017 |
Weida TongNCTRVerified email at FDA.HHS.gov
