| The MicroArray Quality Control (MAQC) project shows inter-and intraplatform reproducibility of gene expression measurements L Shi, LH Reid, WD Jones, R Shippy, JA Warrington, SC Baker, PJ Collins, ... Nature biotechnology 24 (9), 1151-1161, 2006 | 2415 | 2006 |
| The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. L Shi, G Campbell, WD Jones, F Campagne, Z Wen, SJ Walker, Z Su, ... Nature biotechnology 28 (8), 827, 2010 | 854 | 2010 |
| Multiple chromatographic fingerprinting and its application to the quality control of herbal medicines XH Fan, YY Cheng, ZL Ye, RC Lin, ZZ Qian Analytica Chimica Acta 555 (2), 217-224, 2006 | 344 | 2006 |
| Copy number variation is highly correlated with differential gene expression: a pan-cancer study X Shao, N Lv, J Liao, J Long, R Xue, N Ai, D Xu, X Fan BMC medical genetics 20, 1-14, 2019 | 256 | 2019 |
| Reporting guidelines for human microbiome research: the STORMS checklist C Mirzayi, A Renson, Genomic Standards Consortium, ... Nature medicine 27 (11), 1885-1892, 2021 | 211 | 2021 |
| Chemical constituents of Panax ginseng and Panax notoginseng explain why they differ in therapeutic efficacy H Liu, X Lu, Y Hu, X Fan Pharmacological research 161, 105263, 2020 | 207 | 2020 |
| Uncovering an organ’s molecular architecture at single-cell resolution by spatially resolved transcriptomics J Liao, X Lu, X Shao, L Zhu, X Fan Trends in biotechnology 39 (1), 43-58, 2021 | 181 | 2021 |
| CellTalkDB: a manually curated database of ligand–receptor interactions in humans and mice X Shao, J Liao, C Li, X Lu, J Cheng, X Fan Briefings in Bioinformatics, 2021 | 180 | 2021 |
| scCATCH: automatic annotation on cell types of clusters from single-cell RNA sequencing data X Shao, J Liao, X Lu, R Xue, N Ai, X Fan Iscience 23 (3), 2020 | 172 | 2020 |
| Strategies and techniques for multi-component drug design from medicinal herbs and traditional Chinese medicine Y Wang, X Fan, H Qu, X Gao, Y Cheng Current topics in medicinal chemistry 12 (12), 1356-1362, 2012 | 150 | 2012 |
| A network pharmacology study of Chinese medicine QiShenYiQi to reveal its underlying multi-compound, multi-target, multi-pathway mode of action X Li, L Wu, W Liu, Y Jin, Q Chen, L Wang, X Fan, Z Li, Y Cheng PloS one 9 (5), e95004, 2014 | 134 | 2014 |
| Evaluation of external RNA controls for the assessment of microarray performance W Tong, AB Lucas, R Shippy, X Fan, H Fang, H Hong, MS Orr, TM Chu, ... Nature biotechnology 24 (9), 1132-1139, 2006 | 130 | 2006 |
| Integrated metabonomics analysis of the size-response relationship of silica nanoparticles-induced toxicity in mice X Lu, Y Tian, Q Zhao, T Jin, S Xiao, X Fan Nanotechnology 22, 055101, 2011 | 109 | 2011 |
| Drug–disease association and drug-repositioning predictions in complex diseases using causal inference–probabilistic matrix factorization J Yang, Z Li, X Fan, Y Cheng Journal of chemical information and modeling 54 (9), 2562-2569, 2014 | 99 | 2014 |
| Integrated analysis of transcriptomics and metabonomics profiles in aflatoxin B1-induced hepatotoxicity in rat X Lu, B Hu, L Shao, Y Tian, T Jin, Y Jin, S Ji, X Fan Food and Chemical Toxicology, 2013 | 89 | 2013 |
| New avenues for systematically inferring cell-cell communication: through single-cell transcriptomics data X Shao, X Lu, J Liao, H Chen, X Fan Protein & cell 11 (12), 866-880, 2020 | 88 | 2020 |
| LC/MS fingerprinting of Shenmai injection: A novel approach to quality control of herbal medicines X Fan, Y Wang, Y Cheng Journal of pharmaceutical and biomedical analysis 40 (3), 591-597, 2006 | 87 | 2006 |
| Revealing the transcriptional heterogeneity of organ‐specific metastasis in human gastric cancer using single‐cell RNA sequencing H Jiang, D Yu, P Yang, R Guo, M Kong, Y Gao, X Yu, X Lu, X Fan Clinical and translational medicine 12 (2), e730, 2022 | 84 | 2022 |
| Molecular contrastive learning with chemical element knowledge graph Y Fang, Q Zhang, H Yang, X Zhuang, S Deng, W Zhang, M Qin, Z Chen, ... Proceedings of the AAAI conference on artificial intelligence 36 (4), 3968-3976, 2022 | 83 | 2022 |
| Network pharmacology study on major active compounds of Fufang Danshen formula X Li, L Wu, X Fan, B Zhang, X Gao, Y Wang, Y Cheng Zhongguo Zhong yao za zhi= Zhongguo Zhongyao Zazhi= China Journal of Chinese …, 2011 | 76* | 2011 |
Leihong WuDivision of Bioinformatics and Biostatistics, National Center of Toxicological Research, FDA在 fda.hhs.gov 的电子邮件经过验证
