| Transcriptome-wide mapping reveals reversible and dynamic N1-methyladenosine methylome X Li, X Xiong, K Wang, L Wang, X Shu, S Ma, C Yi Nature chemical biology 12 (5), 311-316, 2016 | 586 | 2016 |
| Epitranscriptome sequencing technologies: decoding RNA modifications X Li, X Xiong, C Yi Nature methods 14 (1), 23-31, 2017 | 402 | 2017 |
| Base-resolution mapping reveals distinct m1A methylome in nuclear-and mitochondrial-encoded transcripts X Li, X Xiong, M Zhang, K Wang, Y Chen, J Zhou, Y Mao, J Lv, D Yi, ... Molecular cell 68 (5), 993-1005. e9, 2017 | 384 | 2017 |
| Landscape and regulation of m6A and m6Am methylome across human and mouse tissues K Li, J Cai, M Zhang, X Zhang, X Xiong, H Meng, X Xu, Z Huang, J Peng, ... Molecular cell 77 (2), 426-440. e6, 2020 | 222 | 2020 |
| Transcription factor and microRNA co-regulatory loops: important regulatory motifs in biological processes and diseases HM Zhang, S Kuang, X Xiong, T Gao, C Liu, AY Guo Briefings in bioinformatics 16 (1), 45-58, 2015 | 180 | 2015 |
| N1-methyladenosine methylation in tRNA drives liver tumourigenesis by regulating cholesterol metabolism Y Wang, J Wang, X Li, X Xiong, J Wang, Z Zhou, X Zhu, Y Gu, ... Nature communications 12 (1), 6314, 2021 | 98 | 2021 |
| Base‐resolution analysis of cisplatin–DNA adducts at the genome scale X Shu, X Xiong, J Song, C He, C Yi Angewandte Chemie International Edition 55 (46), 14246-14249, 2016 | 95 | 2016 |
| N1-methyladenosine methylome in messenger RNA and non-coding RNA X Xiong, X Li, C Yi Current opinion in chemical biology 45, 179-186, 2018 | 81 | 2018 |
| Genetic drivers of m6A methylation in human brain, lung, heart and muscle X Xiong, L Hou, YP Park, B Molinie, ... Nature genetics 53 (8), 1156-1165, 2021 | 71 | 2021 |
| Human microglial state dynamics in Alzheimer’s disease progression N Sun, MB Victor, YP Park, X Xiong, AN Scannail, N Leary, S Prosper, ... Cell 186 (20), 4386-4403. e29, 2023 | 47 | 2023 |
| Epitranscriptomics: toward a better understanding of RNA modifications X Xiong, C Yi, J Peng Genomics, Proteomics and Bioinformatics 15 (3), 147-153, 2017 | 36 | 2017 |
| Epigenomic dissection of Alzheimer’s disease pinpoints causal variants and reveals epigenome erosion X Xiong, BT James, CA Boix, YP Park, K Galani, MB Victor, N Sun, L Hou, ... Cell 186 (20), 4422-4437. e21, 2023 | 29 | 2023 |
| Perspectives on topology of the human m1A methylome at single nucleotide resolution X Xiong, X Li, K Wang, C Yi Rna 24 (11), 1437-1442, 2018 | 18 | 2018 |
| Multitissue H3K27ac profiling of GTEx samples links epigenomic variation to disease L Hou, X Xiong, Y Park, C Boix, B James, N Sun, L He, A Patel, Z Zhang, ... Nature Genetics 55 (10), 1665-1676, 2023 | 3 | 2023 |
| Deep learning modeling of ribosome profiling reveals regulatory underpinnings of translatome and interprets disease variants J He, L Xiong, S Shi, C Li, K Chen, Q Fang, J Nan, K Ding, J Li, Y Mao, ... bioRxiv, 2024.02. 26.582217, 2024 | | 2024 |
| 5. INTEGRATION OF GENETIC, EPIGENOMIC, AND PHENOTYPIC DATA ELUCIDATES ROLES OF CIRCULATING IMMUNE CELLS IN BIPOLAR DISORDER L Hou, Y Li, X Xiong, Y Park, S Lenz, A Grayson, JH Lee, E Ryu, J Olson, ... European Neuropsychopharmacology 75, S58-S59, 2023 | | 2023 |
| Epitranscriptome sequencing technologies: decoding RNA modifications (vol 14, pg 23, 2017) X Li, X Xiong, C Yi NATURE METHODS 14 (3), 323-323, 2017 | | 2017 |
| Erratum: Epitranscriptome sequencing technologies: decoding RNA modifications X Li, X Xiong, C Yi Nature Methods 14 (3), 323-323, 2017 | | 2017 |
| er Nature M Eisenstein, A Klungland, JA Dahl, G Greggains, P Fedorcsak, ... NATURE METHODS 14 (1), 2017 | | 2017 |
