| 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 | 298 | 2019 |
| 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 22 (4), bbaa269, 2021 | 237 | 2021 |
| 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 | 219 | 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 | 212 | 2020 |
| 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 | 109 | 2020 |
| Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data with SpaTalk X Shao, C Li, H Yang, X Lu, J Liao, J Qian, K Wang, J Cheng, P Yang, ... Nature communications 13 (1), 4429, 2022 | 102 | 2022 |
| scDeepSort: a pre-trained cell-type annotation method for single-cell transcriptomics using deep learning with a weighted graph neural network X Shao, H Yang, X Zhuang, J Liao, P Yang, J Cheng, X Lu, H Chen, X Fan Nucleic acids research 49 (21), e122-e122, 2021 | 97 | 2021 |
| De novo analysis of bulk RNA-seq data at spatially resolved single-cell resolution J Liao, J Qian, Y Fang, Z Chen, X Zhuang, N Zhang, X Shao, Y Hu, ... Nature Communications 13 (1), 6498, 2022 | 55 | 2022 |
| Multiplexing methods for simultaneous large‐scale transcriptomic profiling of samples at single‐cell resolution J Cheng, J Liao, X Shao, X Lu, X Fan Advanced Science 8 (17), 2101229, 2021 | 47 | 2021 |
| Network pharmacology study reveals energy metabolism and apoptosis pathways-mediated cardioprotective effects of Shenqi Fuzheng J Liao, C Hao, W Huang, X Shao, Y Song, L Liu, N Ai, X Fan Journal of Ethnopharmacology 227, 155-165, 2018 | 38 | 2018 |
| An ultra-robust fingerprinting method for quality assessment of traditional Chinese medicine using multiple reaction monitoring mass spectrometry Z Li, X Zhang, J Liao, X Fan, Y Cheng Journal of Pharmaceutical Analysis 11 (1), 88-95, 2021 | 35 | 2021 |
| Reconstruction of the cell pseudo-space from single-cell RNA sequencing data with scSpace J Qian, J Liao, Z Liu, Y Chi, Y Fang, Y Zheng, X Shao, B Liu, Y Cui, W Guo, ... Nature Communications 14 (1), 2484, 2023 | 31 | 2023 |
| Transcriptomics: a sword to cut the Gordian knot of traditional Chinese medicine Y Liu, N Ai, J Liao, X Fan Biomarkers in Medicine 9 (11), 1201-1213, 2015 | 28 | 2015 |
| Massively parallel CRISPR‐based genetic perturbation screening at single‐cell resolution J Cheng, G Lin, T Wang, Y Wang, W Guo, J Liao, P Yang, J Chen, X Shao, ... Advanced Science 10 (4), 2204484, 2023 | 25 | 2023 |
| Deciphering chemical interactions between Glycyrrhizae Radix and Coptidis Rhizoma by liquid chromatography with transformed multiple reaction monitoring mass spectrometry Z Li, T Liu, J Liao, N Ai, X Fan, Y Cheng Journal of Separation Science 40 (6), 1254-1265, 2017 | 25 | 2017 |
| Prediction of adverse drug reactions by combining biomedical tripartite network and graph representation model R Xue, J Liao, X Shao, K Han, J Long, L Shao, N Ai, X Fan Chemical research in toxicology 33 (1), 202-210, 2019 | 23 | 2019 |
| Laser capture microdissection for biomedical research: towards high-throughput, multi-omics, and single-cell resolution W Guo, Y Hu, J Qian, L Zhu, J Cheng, J Liao, X Fan Journal of Genetics and Genomics 50 (9), 641-651, 2023 | 19 | 2023 |
| Dissecting the brain with spatially resolved multi-omics Y Fangma, M Liu, J Liao, Z Chen, Y Zheng Journal of Pharmaceutical Analysis 13 (7), 694-710, 2023 | 18 | 2023 |
| Revealing topics and their evolution in biomedical literature using Bio-DTM: a case study of ginseng Q Chen, N Ai, J Liao, X Shao, Y Liu, X Fan Chinese medicine 12, 1-9, 2017 | 15 | 2017 |
| scCATCH: Automatic annotation on cell types of clusters from single-cell RNA sequencing data. iScience, 23 (3), 100882 X Shao, J Liao, X Lu, R Xue, N Ai, X Fan March, 2020 | 9 | 2020 |