| Safety and preliminary efficacy of orally administered lyophilized fecal microbiota product compared with frozen product given by enema for recurrent Clostridium difficile … ZD Jiang, RR Jenq, NJ Ajami, JF Petrosino, AA Alexander, S Ke, T Iqbal, ... PloS one 13 (11), e0205064, 2018 | 143 | 2018 |
| Gut microbiome signatures are predictive of infectious risk following induction therapy for acute myeloid leukemia JR Galloway-Peña, Y Shi, CB Peterson, P Sahasrabhojane, ... Clinical Infectious Diseases 71 (1), 63-71, 2020 | 92 | 2020 |
| Nodal immune flare mimics nodal disease progression following neoadjuvant immune checkpoint inhibitors in non-small cell lung cancer T Cascone, A Weissferdt, MCB Godoy, WN William Jr, CH Leung, HY Lin, ... Nature communications 12 (1), 5045, 2021 | 74 | 2021 |
| Medicare D subsidies and racial disparities in persistence and adherence with hormonal therapy A Biggers, Y Shi, J Charlson, EC Smith, AJ Smallwood, AB Nattinger, ... Journal of Clinical Oncology 34 (36), 4398-4404, 2016 | 49 | 2016 |
| aPCoA: covariate adjusted principal coordinates analysis Y Shi, L Zhang, KA Do, CB Peterson, RR Jenq Bioinformatics 36 (13), 4099-4101, 2020 | 48 | 2020 |
| Diet-derived metabolites and mucus link the gut microbiome to fever after cytotoxic cancer treatment ZI Schwabkey, DH Wiesnoski, CC Chang, WB Tsai, D Pham, SS Ahmed, ... Science translational medicine 14 (671), eabo3445, 2022 | 33 | 2022 |
| Are aromatase inhibitors associated with higher myocardial infarction risk in breast cancer patients? A Medicare population‐based study S Kamaraju, Y Shi, E Smith, AB Nattinger, P Laud, J Neuner Clinical cardiology 42 (1), 93-100, 2019 | 33 | 2019 |
| Performance determinants of unsupervised clustering methods for microbiome data Y Shi, L Zhang, CB Peterson, KA Do, RR Jenq Microbiome 10 (1), 25, 2022 | 29 | 2022 |
| Reduced housing density improves statistical power of murine gut microbiota studies A Russell, JN Copio, Y Shi, S Kang, CL Franklin, AC Ericsson Cell reports 39 (6), 2022 | 23 | 2022 |
| Bayesian compositional regression with structured priors for microbiome feature selection L Zhang, Y Shi, RR Jenq, KA Do, CB Peterson Biometrics 77 (3), 824-838, 2021 | 22 | 2021 |
| Low information omnibus (LIO) priors for Dirichlet process mixture models Y Shi, M Martens, A Banerjee, P Laud | 14 | 2019 |
| Fractures in a nationwide population-based cohort of users of breast cancer hormonal therapy JM Neuner, Y Shi, AL Kong, S Kamaraju, EC Smith, AJ Smallwood, ... Journal of Cancer Survivorship 12, 268-275, 2018 | 11 | 2018 |
| Long-term outcome of inflammatory breast cancer compared to non-inflammatory breast cancer in the setting of high-dose chemotherapy with autologous hematopoietic cell … YC Cheng, Y Shi, MJ Zhang, R Brazauskas, MT Hemmer, MR Bishop, ... Journal of Cancer 8 (6), 1009, 2017 | 8 | 2017 |
| Development and testing of a polygenic risk score for breast cancer aggressiveness Y Shieh, J Roger, C Yau, DM Wolf, GL Hirst, LB Swigart, S Huntsman, ... NPJ Precision Oncology 7 (1), 42, 2023 | 7 | 2023 |
| Transfer efficiency and impact on disease phenotype of differing methods of gut microbiota transfer C Zhang, Y Shi, M Burch, B Olthoff, AC Ericsson, CL Franklin Scientific Reports 12 (1), 19621, 2022 | 7 | 2022 |
| A dependent Dirichlet process model for survival data with competing risks Y Shi, P Laud, J Neuner Lifetime Data Analysis 27, 156-176, 2021 | 7 | 2021 |
| Oral and stool microbiome coalescence and its association with antibiotic exposure in acute leukemia patients S Franklin, SL Aitken, Y Shi, PV Sahasrabhojane, S Robinson, ... Frontiers in Cellular and Infection Microbiology 12, 848580, 2022 | 6 | 2022 |
| ProgPerm: Progressive permutation for a dynamic representation of the robustness of microbiome discoveries L Zhang, Y Shi, KA Do, CB Peterson, RR Jenq BMC bioinformatics 22, 1-21, 2021 | 4 | 2021 |
| Sparse tree-based clustering of microbiome data to characterize microbiome heterogeneity in pancreatic cancer Y Shi, L Zhang, KA Do, R Jenq, CB Peterson Journal of the Royal Statistical Society Series C: Applied Statistics 72 (1 …, 2023 | 2 | 2023 |
| Suggestions on Using Machine Learning Models and Cautions for Analyzing Censored Time-To-Event Outcomes Y Shi, M Horiguchi, Y Lu JCO Precision Oncology 8, e2400220, 2024 | 1 | 2024 |