| PGAP: pan-genomes analysis pipeline Y Zhao, J Wu, J Yang, S Sun, J Xiao, J Yu Bioinformatics 28 (3), 416-418, 2012 | 546 | 2012 |
| Cassava genome from a wild ancestor to cultivated varieties W Wang, B Feng, J Xiao, Z Xia, X Zhou, P Li, W Zhang, Y Wang, BL Møller, ... Nature communications 5 (1), 5110, 2014 | 282 | 2014 |
| Single-cell analysis reveals different age-related somatic mutation profiles between stem and differentiated cells in human liver K Brazhnik, S Sun, O Alani, M Kinkhabwala, AW Wolkoff, AY Maslov, ... Science advances 6 (5), eaax2659, 2020 | 109 | 2020 |
| Database resources of the BIG data center in 2018 Nucleic Acids Research 46 (D1), D14-D20, 2018 | 105 | 2018 |
| The BIG Data Center: from deposition to integration to translation BIG Data Center Members Nucleic acids research 45 (D1), D18-D24, 2017 | 94 | 2017 |
| Single-cell analysis of somatic mutations in human bronchial epithelial cells in relation to aging and smoking Z Huang, S Sun, M Lee, AY Maslov, M Shi, S Waldman, A Marsh, ... Nature genetics 54 (4), 492-498, 2022 | 92 | 2022 |
| MethBank 3.0: a database of DNA methylomes across a variety of species R Li, F Liang, M Li, D Zou, S Sun, Y Zhao, W Zhao, Y Bao, J Xiao, Z Zhang Nucleic acids research 46 (D1), D288-D295, 2018 | 55 | 2018 |
| MethBank: a database integrating next-generation sequencing single-base-resolution DNA methylation programming data D Zou, S Sun, R Li, J Liu, J Zhang, Z Zhang Nucleic acids research 43 (D1), D54-D58, 2015 | 40 | 2015 |
| SomaMutDB: a database of somatic mutations in normal human tissues S Sun, Y Wang, AY Maslov, X Dong, J Vijg Nucleic acids research 50 (D1), D1100-D1108, 2022 | 33 | 2022 |
| Single-molecule, quantitative detection of low-abundance somatic mutations by high-throughput sequencing AY Maslov, S Makhortov, S Sun, J Heid, X Dong, M Lee, J Vijg Science Advances 8 (14), eabm3259, 2022 | 25 | 2022 |
| Inducible aging in Hydra oligactis implicates sexual reproduction, loss of stem cells, and genome maintenance as major pathways S Sun, RR White, KE Fischer, Z Zhang, SN Austad, J Vijg Geroscience 42, 1119-1132, 2020 | 22 | 2020 |
| Pangenome Evidence for Higher Codon Usage Bias and Stronger Translational Selection in Core Genes of Escherichia coli S Sun, J Xiao, H Zhang, Z Zhang Frontiers in microbiology 7, 1180, 2016 | 20 | 2016 |
| Age‐related telomere attrition causes aberrant gene expression in sub‐telomeric regions X Dong, S Sun, L Zhang, S Kim, Z Tu, C Montagna, AY Maslov, Y Suh, ... Aging Cell 20 (6), e13357, 2021 | 18 | 2021 |
| Single-cell analysis of somatic mutation burden in mammary epithelial cells of pathogenic BRCA1/2 mutation carriers S Sun, K Brazhnik, M Lee, AY Maslov, Y Zhang, Z Huang, S Klugman, ... The Journal of Clinical Investigation 132 (5), 2022 | 16 | 2022 |
| Randomness in sequence evolution increases over time G Wang, S Sun, Z Zhang PLoS One 11 (5), e0155935, 2016 | 13 | 2016 |
| Synonymous codon usage analysis of hand, foot and mouth disease viruses: a comparative study on coxsackievirus A6, A10, A16, and enterovirus 71 from 2008 to 2015 W Su, X Li, M Chen, W Dai, S Sun, S Wang, X Sheng, S Sun, C Gao, ... Infection, Genetics and Evolution 53, 212-217, 2017 | 11 | 2017 |
| Expression of retrotransposons contributes to aging in Drosophila BK Schneider, S Sun, M Lee, W Li, N Skvir, N Neretti, J Vijg, J Secombe Genetics 224 (2), iyad073, 2023 | 10 | 2023 |
| DNA repair and anti-cancer mechanisms in the long-lived bowhead whale D Firsanov, M Zacher, X Tian, TL Sformo, Y Zhao, G Tombline, JY Lu, ... BioRxiv, 2023.05. 07.539748, 2023 | 8 | 2023 |
| Chromosome instability and aneuploidy in the mammalian brain O Albert, S Sun, A Huttner, Z Zhang, Y Suh, J Campisi, J Vijg, C Montagna Chromosome Research 31 (4), 32, 2023 | 5 | 2023 |
| Reduced frequency of clonal hematopoiesis in Parkinson’s disease S Sun, D Sproviero, C Payán-Gómez, Z Huang, JHJ Hoeijmakers, ... bioRxiv, 2023.05. 04.539397, 2023 | 1 | 2023 |
