| The impact of ambient particle pollution during extreme-temperature days in Guangzhou City, China G Li, L Jiang, Y Zhang, Y Cai, X Pan, M Zhou Asia Pacific Journal of Public Health 26 (6), 614-621, 2014 | 27 | 2014 |
| A genome-wide association study of energy intake and expenditure L Jiang, KL Penney, E Giovannucci, P Kraft, KM Wilson PloS one 13 (8), e0201555, 2018 | 25 | 2018 |
| Common and rare variants genetic association analysis of cigarettes per day among ever-smokers in chronic obstructive pulmonary disease cases and controls SM Lutz, B Frederiksen, F Begum, MLN McDonald, MH Cho, BD Hobbs, ... Nicotine and Tobacco Research 21 (6), 714-722, 2019 | 12 | 2019 |
| A genome‐wide association study of childhood body fatness ET Warner, L Jiang, DN Adjei, C Turman, W Gordon, L Wang, R Tamimi, ... Obesity 29 (2), 446-453, 2021 | 9 | 2021 |
| Genome-Wide Gene–Diabetes and Gene–Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia H Tang, L Jiang, RZ Stolzenberg-Solomon, AA Arslan, ... Cancer Epidemiology, Biomarkers & Prevention 29 (9), 1784-1791, 2020 | 8 | 2020 |
| An integrated risk and epidemiological model to estimate risk-stratified COVID-19 outcomes for Los Angeles County: March 1, 2020—March 1, 2021 AL Horn, L Jiang, F Washburn, E Hvitfeldt, K de la Haye, W Nicholas, ... PLoS One 16 (6), e0253549, 2021 | 6 | 2021 |
| Estimation of COVID-19 risk-stratified epidemiological parameters and policy implications for Los Angeles County through an integrated risk and stochastic epidemiological model AL Horn, L Jiang, F Washburn, E Hvitfeldt, K de la Haye, W Nicholas, ... medRxiv, 2020 | 5 | 2020 |
| A hierarchical approach using marginal summary statistics for multiple intermediates in a Mendelian randomization or transcriptome analysis L Jiang, S Xu, N Mancuso, PJ Newcombe, DV Conti American Journal of Epidemiology 190 (6), 1148-1158, 2021 | 4 | 2021 |
| Fine-mapping and credible set construction using a multi-population joint analysis of marginal summary statistics from genome-wide association studies J Shen, L Jiang, K Wang, A Wang, F Chen, PJ Newcombe, CA Haiman, ... bioRxiv, 2022.12. 22.521659, 2022 | 2 | 2022 |
| Hierarchical joint analysis of marginal summary statistics—Part I: Multipopulation fine mapping and credible set construction J Shen, L Jiang, K Wang, A Wang, F Chen, PJ Newcombe, CA Haiman, ... Genetic Epidemiology, 2024 | | 2024 |
| Multiethnic Joint Analysis of Marginal Summary Statistics from Genome-wide Association Studies J Shen, L Jiang, K Wang, PJ Newcombe, C Haiman, DV Conti GENETIC EPIDEMIOLOGY 45 (7), 789-789, 2021 | | 2021 |
| A flexible hierarchical approach for multi-ethnicity or multi-tissue high-throughput omics data for Mendelian randomization or transcriptome analysis L Jiang, DV Conti GENETIC EPIDEMIOLOGY 44 (5), 497-497, 2020 | | 2020 |
| Hierarchical Modeling Framework for Mendelian Randomization and Transcriptome-wide Association Approaches for Correlated SNPs and Intermediates L Jiang, S Xu, DV Conti GENETIC EPIDEMIOLOGY 43 (7), 885-885, 2019 | | 2019 |
| Convent of the Sacred Heart Libraries CT Kodl, DT Franc, JP Rao, FS Anderson, W Thomas, BA Mueller, KO Lim, ... | | |
