| The power of genetic diversity in genome-wide association studies of lipids SE Graham, SL Clarke, KHH Wu, S Kanoni, GJM Zajac, S Ramdas, ... Nature 600 (7890), 675-679, 2021 | 567 | 2021 |
| A saturated map of common genetic variants associated with human height L Yengo, S Vedantam, E Marouli, J Sidorenko, E Bartell, S Sakaue, ... Nature 610 (7933), 704-712, 2022 | 483 | 2022 |
| Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity TO Kilpeläinen, AR Bentley, R Noordam, YJ Sung, K Schwander, ... Nature communications 10 (1), 376, 2019 | 86 | 2019 |
| Prediction of time series by statistical learning: general losses and fast rates P Alquier, X Li, O Wintenberger Dependence Modeling 1 (2013), 65-93, 2013 | 51 | 2013 |
| Cross-phenotype association analysis using summary statistics from GWAS X Li, X Zhu Statistical Human Genetics: Methods and Protocols, 455-467, 2017 | 41 | 2017 |
| An iterative approach to detect pleiotropy and perform Mendelian Randomization analysis using GWAS summary statistics X Zhu, X Li, R Xu, T Wang Bioinformatics 37 (10), 1390-1400, 2021 | 39 | 2021 |
| Adoptive cell therapy with tumor-specific Th9 cells induces viral mimicry to eliminate antigen-loss-variant tumor cells G Xue, N Zheng, J Fang, G Jin, X Li, G Dotti, Q Yi, Y Lu Cancer cell 39 (12), 1610-1622. e9, 2021 | 38 | 2021 |
| Induction of tumor cell autosis by myxoma virus-infected CAR-T and TCR-T cells to overcome primary and acquired resistance N Zheng, J Fang, G Xue, Z Wang, X Li, M Zhou, G Jin, MM Rahman, ... Cancer Cell 40 (9), 973-985. e7, 2022 | 37 | 2022 |
| Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis S Kanoni, SE Graham, Y Wang, I Surakka, S Ramdas, X Zhu, SL Clarke, ... Genome biology 23 (1), 268, 2022 | 34 | 2022 |
| On weak dependence conditions: The case of discrete valued processes P Doukhan, K Fokianos, X Li Statistics & Probability Letters 82 (11), 1941-1948, 2012 | 34 | 2012 |
| Multivariate analysis of anthropometric traits using summary statistics of genome-wide association studies from GIANT Consortium H Park, X Li, YE Song, KY He, X Zhu PloS one 11 (10), e0163912, 2016 | 31 | 2016 |
| Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci L de Las Fuentes, YJ Sung, R Noordam, T Winkler, MF Feitosa, ... Molecular psychiatry 26 (6), 2111-2125, 2021 | 29 | 2021 |
| Elimination of acquired resistance to PD-1 blockade via the concurrent depletion of tumour cells and immunosuppressive cells G Xue, Z Wang, N Zheng, J Fang, C Mao, X Li, G Jin, X Ming, Y Lu Nature biomedical engineering 5 (11), 1306-1319, 2021 | 27 | 2021 |
| Leveraging linkage evidence to identify low-frequency and rare variants on 16p13 associated with blood pressure using TOPMed whole genome sequencing data KY He, X Li, TN Kelly, J Liang, BE Cade, TL Assimes, LC Becker, ... Human genetics 138, 199-210, 2019 | 27 | 2019 |
| Prediction of quantiles by statistical learning and application to GDP forecasting P Alquier, X Li Discovery Science: 15th International Conference, DS 2012, Lyon, France …, 2012 | 17 | 2012 |
| Height associated variants demonstrate assortative mating in human populations X Li, S Redline, X Zhang, S Williams, X Zhu Scientific reports 7 (1), 15689, 2017 | 16 | 2017 |
| Machine learning-based identifications of COVID-19 fake news using biomedical information extraction F Fifita, J Smith, MB Hanzsek-Brill, X Li, M Zhou Big Data and Cognitive Computing 7 (1), 46, 2023 | 13 | 2023 |
| Corrigendum to" On weak dependence conditions: The case of discrete valued processes"[Statist. Probab. Lett. 82 (2012) 1941-1948] P Doukhan, K Fokianos, X Li Statistics and Probability Letters 83 (2), 674-675, 2013 | 6 | 2013 |
| Clinical drug screening reveals clofazimine potentiates the efficacy while reducing the toxicity of anti-PD-1 and CTLA-4 immunotherapy G Xue, X Li, M Kalim, J Fang, Z Jiang, N Zheng, Z Wang, X Li, ... Cancer Cell 42 (5), 780-796. e6, 2024 | 3 | 2024 |
| Mendelian randomization analysis revealed potential metabolic causal factors for breast cancer M Zhou, M Henricks, V Loch, G Zhang, Y Lu, X Li Scientific Reports 13 (1), 14290, 2023 | 3 | 2023 |
