| Metabolic reaction network-based recursive metabolite annotation for untargeted metabolomics X Shen, R Wang, X Xiong, Y Yin, Y Cai, Z Ma, N Liu, ZJ Zhu Nature communications 10 (1), 1516, 2019 | 237 | 2019 |
| Ion mobility collision cross-section atlas for known and unknown metabolite annotation in untargeted metabolomics Z Zhou, M Luo, X Chen, Y Yin, X Xiong, R Wang, ZJ Zhu Nature communications 11 (1), 4334, 2020 | 230 | 2020 |
| Advancing untargeted metabolomics using data-independent acquisition mass spectrometry technology R Wang, Y Yin, ZJ Zhu Analytical and Bioanalytical Chemistry 411, 4349-4357, 2019 | 116 | 2019 |
| Absolute quantitative lipidomics reveals lipidome-wide alterations in aging brain J Tu, Y Yin, M Xu, R Wang, ZJ Zhu Metabolomics 14, 1-11, 2018 | 85 | 2018 |
| DecoMetDIA: deconvolution of multiplexed MS/MS spectra for metabolite identification in SWATH-MS-based untargeted metabolomics Y Yin, R Wang, Y Cai, Z Wang, ZJ Zhu Analytical chemistry 91 (18), 11897-11904, 2019 | 50 | 2019 |
| Global stable-isotope tracing metabolomics reveals system-wide metabolic alternations in aging Drosophila R Wang, Y Yin, J Li, H Wang, W Lv, Y Gao, T Wang, Y Zhong, Z Zhou, ... Nature communications 13 (1), 3518, 2022 | 15 | 2022 |
| Metabolic reaction network-based recursive metabolite identification for untargeted metabolomics X Shen, X Xiong, R Wang, Y Yin, Y Cai, Z Ma, N Liu, ZJ Zhu bioRxiv, 305201, 2018 | 1 | 2018 |
