Hao Chi

4.1k total citations · 1 hit paper
120 papers, 2.5k citations indexed

About

Hao Chi is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Hao Chi has authored 120 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 31 papers in Cancer Research and 30 papers in Immunology. Recurrent topics in Hao Chi's work include Ferroptosis and cancer prognosis (26 papers), Cancer Immunotherapy and Biomarkers (16 papers) and Cancer-related molecular mechanisms research (15 papers). Hao Chi is often cited by papers focused on Ferroptosis and cancer prognosis (26 papers), Cancer Immunotherapy and Biomarkers (16 papers) and Cancer-related molecular mechanisms research (15 papers). Hao Chi collaborates with scholars based in China, United States and Germany. Hao Chi's co-authors include Zhijia Xia, Gang Tian, Gaoge Peng, Guanhu Yang, Songyun Zhao, Jinhao Zhang, Xixi Xie, Ke Xu, Lai Jiang and Jinyan Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Hao Chi

111 papers receiving 2.5k citations

Hit Papers

T-cell exhaustion signatures characterize the immune land... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hao Chi China 32 1.1k 820 770 737 688 120 2.5k
Wenwei Zhu China 21 863 0.8× 398 0.5× 364 0.5× 363 0.5× 580 0.8× 67 1.9k
Monique B. Nilsson United States 25 1.2k 1.2× 1.2k 1.5× 807 1.0× 273 0.4× 553 0.8× 66 2.5k
Nicole Anderson United States 15 1.1k 1.0× 734 0.9× 340 0.4× 679 0.9× 708 1.0× 34 2.7k
Colin E. Evans United States 27 1.0k 0.9× 388 0.5× 524 0.7× 623 0.8× 611 0.9× 61 3.1k
Qian Xiao China 27 1.3k 1.2× 952 1.2× 233 0.3× 509 0.7× 609 0.9× 111 2.7k
Ming Shi China 25 1.0k 1.0× 1.2k 1.5× 235 0.3× 545 0.7× 390 0.6× 107 2.6k
Soumitro Pal United States 26 1.3k 1.2× 646 0.8× 277 0.4× 493 0.7× 473 0.7× 53 2.4k
David Jin United States 23 1.6k 1.5× 1.3k 1.6× 273 0.4× 480 0.7× 619 0.9× 48 3.4k

Countries citing papers authored by Hao Chi

Since Specialization
Citations

This map shows the geographic impact of Hao Chi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hao Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Chi more than expected).

Fields of papers citing papers by Hao Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hao Chi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hao Chi. The network helps show where Hao Chi may publish in the future.

Co-authorship network of co-authors of Hao Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Chi. A scholar is included among the top collaborators of Hao Chi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hao Chi. Hao Chi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ma, Feng, Lexin Wang, Hao Chi, et al.. (2025). Exploring the Therapeutic Potential of MIR ‐140‐3p in Osteoarthritis: Targeting CILP and Ferroptosis for Novel Treatment Strategies. Cell Proliferation. 58(11). e70018–e70018. 1 indexed citations
3.
Wang, Renxue, Chenzhi Hao, Yi‐Ling Qiu, et al.. (2024). ZFYVE19 deficiency: a ciliopathy involving failure of cell division, with cell death. Journal of Medical Genetics. 61(8). 750–758. 2 indexed citations
4.
Song, Guobin, Haoyang Wu, Haiqing Chen, et al.. (2024). hdWGCNA and Cellular Communication Identify Active NK CellSubtypes in Alzheimer's Disease and Screen for Diagnostic Markersthrough Machine Learning. Current Alzheimer Research. 21(2). 120–140. 1 indexed citations
5.
Liu, Yang, et al.. (2024). Exploiting cell death and tumor immunity in cancer therapy: challenges and future directions. Frontiers in Cell and Developmental Biology. 12. 1416115–1416115. 4 indexed citations
7.
Chen, Haiqing, Jinhao Zhang, Xixi Xie, et al.. (2023). Elucidating the Influence of MPT-driven necrosis-linked LncRNAs on immunotherapy outcomes, sensitivity to chemotherapy, and mechanisms of cell death in clear cell renal carcinoma. Frontiers in Oncology. 13. 1276715–1276715. 13 indexed citations
8.
Yang, Long, Miao Yu, Yijia Chen, et al.. (2023). M2 macrophage inhibits the antitumor effects of Lenvatinib on intrahepatic cholangiocarcinoma. Frontiers in Immunology. 14. 1251648–1251648. 7 indexed citations
9.
Zhang, Pengpeng, Haotian Zhang, Junjie Tang, et al.. (2023). The integrated single-cell analysis developed an immunogenic cell death signature to predict lung adenocarcinoma prognosis and immunotherapy. Aging. 15(19). 10305–10329. 32 indexed citations
10.
Zhang, Xiao, et al.. (2023). Unraveling molecular networks in thymic epithelial tumors: deciphering the unique signatures. Frontiers in Immunology. 14. 1264325–1264325. 40 indexed citations
11.
Zhao, Songyun, Hao Chi, Qian Yang, et al.. (2023). Identification and validation of neurotrophic factor-related gene signatures in glioblastoma and Parkinson’s disease. Frontiers in Immunology. 14. 1090040–1090040. 63 indexed citations
12.
Wang, Junxia, Jieying Zhang, Jinhao Zhang, et al.. (2023). Acupuncture and other traditional Chinese medicine therapies in the treatment of children’s tic syndrome: A network meta-analysis. Frontiers in Neuroscience. 17. 1156308–1156308. 10 indexed citations
13.
Chi, Hao, Songyun Zhao, Jinyan Yang, et al.. (2023). T-cell exhaustion signatures characterize the immune landscape and predict HCC prognosis via integrating single-cell RNA-seq and bulk RNA-sequencing. Frontiers in Immunology. 14. 1137025–1137025. 97 indexed citations breakdown →
15.
Zhao, Songyun, Hao Chi, Wei Ji, et al.. (2022). A Bioinformatics-Based Analysis of an Anoikis-Related Gene Signature Predicts the Prognosis of Patients with Low-Grade Gliomas. Brain Sciences. 12(10). 1349–1349. 40 indexed citations
16.
Chi, Hao, Gaoge Peng, Guo Chen, et al.. (2022). Characterization of coagulation-related gene signature to predict prognosis and tumor immune microenvironment in skin cutaneous melanoma. Frontiers in Oncology. 12. 975255–975255. 31 indexed citations
17.
Chi, Hao, et al.. (2022). Role of Exosomes in Immune Microenvironment of Hepatocellular Carcinoma. Journal of Oncology. 2022. 1–15. 25 indexed citations
18.
Liang, Zhen, Jianzhang Wang, Yu Zheng, et al.. (2022). A Novel Necroptosis-Related Gene Signature in Skin Cutaneous Melanoma Prognosis and Tumor Microenvironment. Frontiers in Genetics. 13. 917007–917007. 36 indexed citations
19.
Li, Chushu, Hao Chi, Huanbin Wang, et al.. (2021). THADA drives Golgi residency and upregulation of PD-L1 in cancer cells and provides promising target for immunotherapy. Journal for ImmunoTherapy of Cancer. 9(8). e002443–e002443. 23 indexed citations
20.
Chen, Cui, Xiangdong Cheng, Yan Liu, et al.. (2019). Downregulation of TfR1 promotes progression of colorectal cancer via the JAK/STAT pathway. SHILAP Revista de lepidopterología. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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