| Tissue-specific microRNA expression patterns in four types of kidney disease MA Baker, SJ Davis, P Liu, X Pan, AM Williams, KA Iczkowski, ... Journal of the American Society of Nephrology 28 (10), 2985-2992, 2017 | 146 | 2017 |
| Stability of global methylation profiles of whole blood and extracted DNA under different storage durations and conditions Y Li, X Pan, ML Roberts, P Liu, TA Kotchen, AW Cowley Jr, DL Mattson, ... Epigenomics 10 (6), 797-811, 2018 | 63 | 2018 |
| OncotRF: an online resource for exploration of tRNA-derived fragments in human cancers D Yao, X Sun, L Zhou, M Amanullah, X Pan, Y Liu, M Liang, P Liu, Y Lu RNA biology 17 (8), 1081-1091, 2020 | 59 | 2020 |
| Dietary effects on Dahl salt-sensitive hypertension, renal damage, and the T lymphocyte transcriptome JM Abais-Battad, AJ Alsheikh, X Pan, DJ Fehrenbach, JH Dasinger, ... Hypertension 74 (4), 854-863, 2019 | 49 | 2019 |
| An integrated epigenomic-transcriptomic landscape of lung cancer reveals novel methylation driver genes of diagnostic and therapeutic relevance X Sun, J Yi, J Yang, Y Han, X Qian, Y Liu, J Li, B Lu, J Zhang, X Pan, Y Liu, ... Theranostics 11 (11), 5346, 2021 | 47 | 2021 |
| A comprehensive evaluation of alignment software for reduced representation bisulfite sequencing data X Sun, Y Han, L Zhou, E Chen, B Lu, Y Liu, X Pan, AW Cowley Jr, M Liang, ... Bioinformatics 34 (16), 2715-2723, 2018 | 45 | 2018 |
| Epidemiological assessment of imported coronavirus disease 2019 (COVID-19) cases in the most affected city outside of Hubei Province, Wenzhou, China Y Han, Y Liu, L Zhou, E Chen, P Liu, X Pan, Y Lu JAMA Network Open 3 (4), e206785-e206785, 2020 | 42 | 2020 |
| Urinary metabolites associated with blood pressure on a low-or high-sodium diet Y Cheng, H Song, X Pan, H Xue, Y Wan, T Wang, Z Tian, E Hou, IR Lanza, ... Theranostics 8 (6), 1468, 2018 | 42 | 2018 |
| Epigenetic modifications in T cells: the role of DNA methylation in salt-sensitive hypertension JH Dasinger, AJ Alsheikh, JM Abais-Battad, X Pan, DJ Fehrenbach, ... Hypertension 75 (2), 372-382, 2020 | 35 | 2020 |
| Role of DNA de novo (de) methylation in the kidney in salt-induced hypertension P Liu, Y Liu, H Liu, X Pan, Y Li, K Usa, MK Mishra, J Nie, M Liang Hypertension 72 (5), 1160-1171, 2018 | 35 | 2018 |
| Extreme value behavior of aggregate dependent risks D Chen, T Mao, X Pan, T Hu Insurance: Mathematics and Economics 50 (1), 99-108, 2012 | 29 | 2012 |
| Unique associations of DNA methylation regions with 24-hour blood pressure phenotypes in black participants ML Roberts, TA Kotchen, X Pan, Y Li, C Yang, P Liu, T Wang, PW Laud, ... Hypertension 79 (4), 761-772, 2022 | 27 | 2022 |
| Global identification and characterization of tRNA-derived RNA fragment landscapes across human cancers X Sun, J Yang, M Yu, D Yao, L Zhou, X Li, Q Qiu, W Lin, B Lu, E Chen, ... NAR cancer 2 (4), zcaa031, 2020 | 26 | 2020 |
| Histologically resolved small RNA maps in primary focal segmental glomerulosclerosis indicate progressive changes within glomerular and tubulointerstitial regions AM Williams, DM Jensen, X Pan, P Liu, J Liu, S Huls, KR Regner, ... Kidney international 101 (4), 766-778, 2022 | 25 | 2022 |
| A comprehensive evaluation of computational tools to identify differential methylation regions using RRBS data Y Liu, Y Han, L Zhou, X Pan, X Sun, Y Liu, M Liang, J Qin, Y Lu, P Liu Genomics 112 (6), 4567-4576, 2020 | 23 | 2020 |
| The second-order version of Karamata’s theorem with applications X Pan, X Leng, T Hu Statistics & Probability Letters 83 (5), 1397-1403, 2013 | 20 | 2013 |
| Stochastic orderings for elliptical random vectors X Pan, G Qiu, T Hu Journal of Multivariate Analysis 148, 83-88, 2016 | 19 | 2016 |
| Some inequalities of linear combinations of independent random variables: II X Pan, M Xu, T Hu | 19 | 2013 |
| Dietary sodium restriction results in tissue-specific changes in DNA methylation in humans S Kidambi, X Pan, C Yang, P Liu, ML Roberts, Y Li, T Wang, PW Laud, ... Hypertension 78 (2), 434-446, 2021 | 18 | 2021 |
| WMDS. net: a network control framework for identifying key players in transcriptome programs X Cheng, M Amanullah, W Liu, Y Liu, X Pan, H Zhang, H Xu, P Liu, Y Lu Bioinformatics 39 (2), btad071, 2023 | 11 | 2023 |