Ji Cao

7.1k total citations · 1 hit paper
142 papers, 5.4k citations indexed

About

Ji Cao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ji Cao has authored 142 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 38 papers in Oncology and 23 papers in Cancer Research. Recurrent topics in Ji Cao's work include Ubiquitin and proteasome pathways (31 papers), Cancer, Hypoxia, and Metabolism (18 papers) and Protein Degradation and Inhibitors (17 papers). Ji Cao is often cited by papers focused on Ubiquitin and proteasome pathways (31 papers), Cancer, Hypoxia, and Metabolism (18 papers) and Protein Degradation and Inhibitors (17 papers). Ji Cao collaborates with scholars based in China, United States and Czechia. Ji Cao's co-authors include Bo Yang, Qiaojun He, Meidan Ying, Hong Zhu, Jiang Li, Bin Lu, Hening Lin, Xuejing Shao, Qiao He and Yuan Meng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Ji Cao

134 papers receiving 5.3k citations

Hit Papers

The Role of Ferroptosis in Cancer Development and Treatme... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji Cao China 43 3.2k 1.2k 1.2k 897 696 142 5.4k
Benedito A. Carneiro United States 32 3.0k 0.9× 1.9k 1.6× 1.3k 1.1× 1.1k 1.2× 697 1.0× 163 5.6k
Gina M. DeNicola United States 28 4.5k 1.4× 843 0.7× 2.2k 1.9× 781 0.9× 376 0.5× 57 5.9k
Feng Li China 46 5.1k 1.6× 1.8k 1.5× 1.9k 1.6× 660 0.7× 563 0.8× 233 7.5k
Min Huang China 45 5.4k 1.7× 1.8k 1.5× 1.2k 1.0× 489 0.5× 787 1.1× 264 8.0k
Wynand P. Roos Germany 34 5.0k 1.6× 1.9k 1.6× 1.5k 1.3× 574 0.6× 443 0.6× 68 7.1k
Dhyan Chandra United States 38 3.1k 1.0× 1.2k 1.0× 928 0.8× 540 0.6× 417 0.6× 71 4.8k
Peter Tsvetkov Israel 27 3.3k 1.0× 897 0.8× 1.3k 1.1× 1.4k 1.5× 419 0.6× 40 5.5k
Judith Michels France 21 2.5k 0.8× 2.0k 1.7× 966 0.8× 563 0.6× 408 0.6× 55 4.7k
Dong‐Hua Yang United States 41 3.2k 1.0× 2.1k 1.8× 813 0.7× 542 0.6× 465 0.7× 184 5.8k

Countries citing papers authored by Ji Cao

Since Specialization
Citations

This map shows the geographic impact of Ji Cao'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 Ji Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Cao more than expected).

Fields of papers citing papers by Ji Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji Cao. 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 Ji Cao. The network helps show where Ji Cao may publish in the future.

Co-authorship network of co-authors of Ji Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Cao. A scholar is included among the top collaborators of Ji Cao 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 Ji Cao. Ji Cao 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.
Xiang, Senfeng, Pengfei Chen, Haoyang Cai, et al.. (2025). Disruption of the KLHL37–N-Myc complex restores N-Myc degradation and arrests neuroblastoma growth in mouse models. Journal of Clinical Investigation. 135(14).
2.
Zhang, Xin, et al.. (2025). Bacillus subtilis: applications in the livestock and poultry industry in recent years: review. Animal Bioscience. 38(10). 2043–2054.
3.
Liu, Haiyan, Jun Jin, Yahui Liang, et al.. (2025). Metabolomics and metabolites in cancer diagnosis and treatment. Molecular Biomedicine. 6(1). 109–109. 1 indexed citations
4.
Cao, Ji, et al.. (2024). Spatiotemporal gated traffic trajectory simulation with semantic-aware graph learning. Information Fusion. 108. 102404–102404. 4 indexed citations
5.
Xie, Mingqi, et al.. (2024). Enhancing the safety of CAR-T cell therapy: Synthetic genetic switch for spatiotemporal control. Science Advances. 10(8). eadj6251–eadj6251. 43 indexed citations
6.
Li, Lu, Zhenying Wu, Bo Yang, et al.. (2024). Identification of 5-Thiocyanatothiazol-2-amines Disrupting WDR5-MYC Protein–Protein Interactions. ACS Medicinal Chemistry Letters. 15(7). 1143–1150.
7.
Cen, Jie, Haiying Zhu, Feng Zhang, et al.. (2023). Synthesis and structure-activity optimization of hydroxypyridinones against rhabdomyolysis-induced acute kidney injury. European Journal of Medicinal Chemistry. 263. 115933–115933. 4 indexed citations
8.
Yang, Bo, et al.. (2022). The Role of Membrane-Associated E3 Ubiquitin Ligases in Cancer. Frontiers in Pharmacology. 13. 928794–928794. 9 indexed citations
9.
Gao, Xiaomeng, et al.. (2021). Targeting Myc Interacting Proteins as a Winding Path in Cancer Therapy. Frontiers in Pharmacology. 12. 748852–748852. 20 indexed citations
10.
Zhu, Hong, Fangjie Yan, Tao Yuan, et al.. (2020). USP10 Promotes Proliferation of Hepatocellular Carcinoma by Deubiquitinating and Stabilizing YAP/TAZ. Cancer Research. 80(11). 2204–2216. 133 indexed citations
11.
Cao, Ji, et al.. (2020). TiPARP forms nuclear condensates to degrade HIF-1α and suppress tumorigenesis. Proceedings of the National Academy of Sciences. 117(24). 13447–13456. 62 indexed citations
12.
Cao, Ji, Lei Sun, Pornpun Aramsangtienchai, et al.. (2019). HDAC11 regulates type I interferon signaling through defatty-acylation of SHMT2. Proceedings of the National Academy of Sciences. 116(12). 5487–5492. 132 indexed citations
13.
Cao, Ji, Rong Dong, Jiang Li, et al.. (2018). LncRNA-MM2P Identified as a Modulator of Macrophage M2 Polarization. Cancer Immunology Research. 7(2). 292–305. 132 indexed citations
14.
Zhu, Hong, Dandan Wang, Tao Yuan, et al.. (2018). Multikinase Inhibitor CT-707 Targets Liver Cancer by Interrupting the Hypoxia-Activated IGF-1R–YAP Axis. Cancer Research. 78(14). 3995–4006. 34 indexed citations
15.
Zhou, Qian, Miao Xian, Senfeng Xiang, et al.. (2017). All-Trans Retinoic Acid Prevents Osteosarcoma Metastasis by Inhibiting M2 Polarization of Tumor-Associated Macrophages. Cancer Immunology Research. 5(7). 547–559. 121 indexed citations
16.
Wang, Dandan, Ying Chen, Zibo Chen, et al.. (2016). CT-707, a Novel FAK Inhibitor, Synergizes with Cabozantinib to Suppress Hepatocellular Carcinoma by Blocking Cabozantinib-Induced FAK Activation. Molecular Cancer Therapeutics. 15(12). 2916–2925. 38 indexed citations
17.
Cao, Ji, Yijie Wang, Rong Dong, et al.. (2015). Hypoxia-Induced WSB1 Promotes the Metastatic Potential of Osteosarcoma Cells. Cancer Research. 75(22). 4839–4851. 57 indexed citations
18.
Cao, Ji, et al.. (2014). Early assessment of chronic kidney dysfunction using contrast-enhanced ultrasound: a pilot study. British Journal of Radiology. 87(1042). 20140350–20140350. 42 indexed citations
19.
Zhu, Hong, Ji Cao, Jun Zhang, et al.. (2013). Tirapazamine Sensitizes Hepatocellular Carcinoma Cells to Topoisomerase I Inhibitors via Cooperative Modulation of Hypoxia-Inducible Factor-1α. Molecular Cancer Therapeutics. 13(3). 630–642. 18 indexed citations
20.
Zhang, Jianhua, Nenghui Ye, Ji Cao, Mingpu Tan, & Mingyi Jiang. (2010). ZmMPK5 is required for the NADPH oxidase-mediated self-propagation of apoplastic H2O2 in brassinosteroid-induced antioxidant defence in leaves of maize. Journal of Experimental Botany. 61(15). 4399–4411. 115 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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