| Immediate allergic reactions to gadolinium-based contrast agents: a systematic review and meta-analysis AH Behzadi, Y Zhao, Z Farooq, MR Prince Radiology 286 (2), 471-482, 2018 | 178 | 2018 |
| Data-driven subtyping of Parkinson’s disease using longitudinal clinical records: a cohort study X Zhang, J Chou, J Liang, C Xiao, Y Zhao, H Sarva, C Henchcliffe, ... Scientific reports 9 (1), 797, 2019 | 164 | 2019 |
| A systematic review of 639 patients with biopsy-confirmed nephrogenic systemic fibrosis H Attari, Y Cao, TR Elmholdt, Y Zhao, MR Prince Radiology 292 (2), 376-386, 2019 | 111 | 2019 |
| Multiple imputation in the presence of high-dimensional data Y Zhao, Q Long Statistical Methods in Medical Research 25 (5), 2021-2035, 2016 | 86 | 2016 |
| Decreased sphingolipid synthesis in children with 17q21 asthma–risk genotypes JG Ono, BI Kim, Y Zhao, PJ Christos, Y Tesfaigzi, TS Worgall, S Worgall The Journal of clinical investigation 130 (2), 921-926, 2020 | 65 | 2020 |
| Regional expression of genes mediating trans-synaptic alpha-synuclein transfer predicts regional atrophy in Parkinson disease B Freeze, D Acosta, S Pandya, Y Zhao, A Raj NeuroImage: Clinical 18, 456-466, 2018 | 54 | 2018 |
| Variable selection in the presence of missing data: Imputation‐based methods Y Zhao, Q Long Wiley Interdisciplinary Reviews: Computational Statistics 9 (5), e1402, 2017 | 46 | 2017 |
| Dentate nucleus signal intensity decrease on T1-weighted MR images after switching from gadopentetate dimeglumine to gadobutrol AH Behzadi, Z Farooq, Y Zhao, G Shih, MR Prince Radiology 287 (3), 816-823, 2018 | 36 | 2018 |
| The use of noncontrast quantitative MRI to detect gadolinium-enhancing multiple sclerosis brain lesions: a systematic review and meta-analysis A Gupta, K Al-Dasuqi, F Xia, G Askin, Y Zhao, D Delgado, Y Wang American Journal of Neuroradiology 38 (7), 1317-1322, 2017 | 36 | 2017 |
| Very high-dose cholecalciferol and arteriovenous fistula maturation in ESRD: a randomized, double-blind, placebo-controlled pilot study H Wasse, R Huang, Q Long, Y Zhao, S Singapuri, W McKinnon, ... The journal of vascular access 15 (2), 88-94, 2014 | 31 | 2014 |
| Grading meningiomas utilizing multiparametric MRI with inclusion of susceptibility weighted imaging and quantitative susceptibility mapping S Zhang, GCY Chiang, JM Knapp, CM Zecca, D He, R Ramakrishna, ... Journal of Neuroradiology 47 (4), 272-277, 2020 | 30 | 2020 |
| Hierarchical feature selection incorporating known and novel biological information: identifying genomic features related to prostate cancer recurrence Y Zhao, M Chung, BA Johnson, CS Moreno, Q Long Journal of the American Statistical Association 111 (516), 1427-1439, 2016 | 23 | 2016 |
| Outcomes in patients with poststroke seizures: a systematic review and meta-analysis S Misra, SE Kasner, J Dawson, T Tanaka, Y Zhao, HP Zaveri, E Eldem, ... JAMA neurology 80 (11), 1155-1165, 2023 | 20 | 2023 |
| Diagnostic accuracy of semiautomatic lesion detection plus quantitative susceptibility mapping in the identification of new and enhancing multiple sclerosis lesions S Zhang, TD Nguyen, Y Zhao, SA Gauthier, Y Wang, A Gupta NeuroImage: Clinical 18, 143-148, 2018 | 18 | 2018 |
| Knowledge-guided bayesian support vector machine for high-dimensional data with application to analysis of genomics data W Sun, C Chang, Y Zhao, Q Long 2018 IEEE International Conference on Big Data (Big Data), 1484-1493, 2018 | 15 | 2018 |
| A Bayesian nonparametric mixture model for selecting genes and gene subnetworks Y Zhao, J Kang, T Yu The annals of applied statistics 8 (2), 999, 2014 | 15 | 2014 |
| Knowledge-guided statistical learning methods for analysis of high-dimensional-omics data in precision oncology Y Zhao, C Chang, Q Long JCO Precision Oncology 3, 1-9, 2019 | 14 | 2019 |
| Structured genome-wide association studies with Bayesian hierarchical variable selection Y Zhao, H Zhu, Z Lu, RC Knickmeyer, F Zou Genetics 212 (2), 397-415, 2019 | 14 | 2019 |
| Sex-specific genetic association between psychiatric disorders and cognition, behavior and brain imaging in children and adults Y Gui, X Zhou, Z Wang, Y Zhang, Z Wang, G Zhou, Y Zhao, M Liu, H Lu, ... Translational Psychiatry 12 (1), 347, 2022 | 13 | 2022 |
| Bayesian network-driven clustering analysis with feature selection for high-dimensional multi-modal molecular data Y Zhao, C Chang, M Hannum, J Lee, R Shen Scientific reports 11 (1), 5146, 2021 | 13 | 2021 |
