| A statistical framework to predict functional non-coding regions in the human genome through integrated analysis of annotation data Q Lu, Y Hu, J Sun, Y Cheng, KH Cheung, H Zhao Scientific reports 5 (1), 10576, 2015 | 202 | 2015 |
| Increased monocyte count as a cellular biomarker for poor outcomes in fibrotic diseases: a retrospective, multicentre cohort study MKD Scott, K Quinn, Q Li, R Carroll, H Warsinske, F Vallania, S Chen, ... The Lancet Respiratory Medicine 7 (6), 497-508, 2019 | 193 | 2019 |
| Validation of a 52-gene risk profile for outcome prediction in patients with idiopathic pulmonary fibrosis: an international, multicentre, cohort study JD Herazo-Maya, J Sun, PL Molyneaux, Q Li, JA Villalba, A Tzouvelekis, ... The Lancet Respiratory Medicine 5 (11), 857-868, 2017 | 131 | 2017 |
| High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP) Y Zhang, T Cai, S Yu, K Cho, C Hong, J Sun, J Huang, YL Ho, ... Nature protocols 14 (12), 3426-3444, 2019 | 108 | 2019 |
| Coronavirus disease 2019 (COVID-19) mortality and neighborhood characteristics in Chicago MS Bryan, J Sun, J Jagai, DE Horton, A Montgomery, R Sargis, M Argos Annals of epidemiology 56, 47-54. e5, 2021 | 106 | 2021 |
| Association of interleukin 6 receptor variant with cardiovascular disease effects of interleukin 6 receptor blocking therapy: a phenome-wide association study T Cai, Y Zhang, YL Ho, N Link, J Sun, J Huang, TA Cai, S Damrauer, ... JAMA cardiology 3 (9), 849-857, 2018 | 81 | 2018 |
| High-throughput multimodal automated phenotyping (MAP) with application to PheWAS KP Liao, J Sun, TA Cai, N Link, C Hong, J Huang, JE Huffman, ... Journal of the American Medical Informatics Association 26 (11), 1255-1262, 2019 | 75 | 2019 |
| Inferring consistent functional interaction patterns from natural stimulus FMRI data J Sun, X Hu, X Huang, Y Liu, K Li, X Li, J Han, L Guo, T Liu, J Zhang NeuroImage 61 (4), 987-999, 2012 | 39 | 2012 |
| Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data C Hong, E Rush, M Liu, D Zhou, J Sun, A Sonabend, VM Castro, ... NPJ digital medicine 4 (1), 151, 2021 | 33 | 2021 |
| sureLDA: A multidisease automated phenotyping method for the electronic health record Y Ahuja, D Zhou, Z He, J Sun, VM Castro, V Gainer, SN Murphy, C Hong, ... Journal of the American Medical Informatics Association 27 (8), 1235-1243, 2020 | 33 | 2020 |
| Association of apolipoprotein E in lipoprotein subspecies with risk of dementia M Koch, ST DeKosky, M Goodman, J Sun, JD Furtado, AL Fitzpatrick, ... JAMA Network Open 3 (7), e209250-e209250, 2020 | 28 | 2020 |
| 50-gene risk profiles in peripheral blood predict COVID-19 outcomes: A retrospective, multicenter cohort study BMJ Guardela, J Sun, T Zhang, B Xu, J Balnis, Y Huang, SF Ma, ... EBioMedicine 69, 2021 | 21 | 2021 |
| VA Million Veteran Program. Association of interleukin 6 receptor variant with cardiovascular disease effects of interleukin 6 receptor blocking therapy: a phenome-wide … T Cai, Y Zhang, YL Ho, N Link, J Sun, J Huang, TA Cai, S Damrauer, ... JAMA Cardiol 3 (09), 849-857, 2018 | 19 | 2018 |
| High density lipoprotein and its apolipoprotein-defined subspecies and risk of dementia M Koch, ST DeKosky, M Goodman, J Sun, JD Furtado, AL Fitzpatrick, ... Journal of Lipid Research 61 (3), 445-454, 2020 | 18 | 2020 |
| SyStemCell: a database populated with multiple levels of experimental data from stem cell differentiation research J Yu, X Xing, L Zeng, J Sun, W Li, H Sun, Y He, J Li, G Zhang, C Wang, ... PLoS One 7 (7), e35230, 2012 | 18 | 2012 |
| The application of sparse estimation of covariance matrix to quadratic discriminant analysis J Sun, H Zhao BMC bioinformatics 16, 1-9, 2015 | 16 | 2015 |
| Regularized latent class model for joint analysis of high-dimensional longitudinal biomarkers and a time-to-event outcome J Sun, JD Herazo-Maya, PL Molyneaux, TM Maher, N Kaminski, H Zhao Biometrics 75 (1), 69-77, 2019 | 12 | 2019 |
| A Dirichlet process mixture model for clustering longitudinal gene expression data J Sun, JD Herazo‐Maya, N Kaminski, H Zhao, JL Warren Statistics in medicine 36 (22), 3495-3506, 2017 | 12 | 2017 |
| Reduced Dehydroepiandrosterone-Sulfate Levels in the Mid-Luteal Subphase of the Menstrual Cycle: Implications to Women’s Health Research A Hamidovic, F Soumare, A Naveed, J Davis, J Sun, N Dang Metabolites 12 (10), 941, 2022 | 7 | 2022 |
| Waist Circumference and Its Association With Premenstrual Food Craving: The PHASE Longitudinal Study N Dang, D Khalil, J Sun, A Naveed, F Soumare, A Hamidovic Frontiers in psychiatry 13, 784316, 2022 | 6 | 2022 |
