T-cell exhaustion signatures characterize the immune landscape and predict HCC prognosis via integrating single-cell RNA-seq and bulk RNA-sequencingHao Chi, Jinqiu Zhao, Songyun Zhao et al.|Frontiers in Immunology|2023Cited by 153
Machine learning to construct sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with uveal melanomaHao Chi, Gang Tian, Guobin Song et al.|Frontiers in Endocrinology|2022Cited by 81
Identification of copper metabolism-related subtypes and establishment of the prognostic model in ovarian cancerSongyun Zhao, Jinhui Liu, Xin Zhang et al.|Frontiers in Endocrinology|2023Cited by 76
Circadian rhythm-related genes index: A predictor for HNSCC prognosis, immunotherapy efficacy, and chemosensitivityHao Chi, Gang Tian, Jinyan Yang et al.|Frontiers in Immunology|2023Cited by 72
Cuprotosis Programmed-Cell-Death-Related lncRNA Signature Predicts Prognosis and Immune Landscape in PAAD PatientsHao Chi, Gang Tian, Gaoge Peng et al.|Cells|2022Cited by 66