Ji Zhu

9.8k total citations · 1 hit paper
183 papers, 5.8k citations indexed

About

Ji Zhu is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ji Zhu has authored 183 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Oncology, 55 papers in Surgery and 43 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ji Zhu's work include Colorectal Cancer Surgical Treatments (50 papers), Colorectal and Anal Carcinomas (41 papers) and Colorectal Cancer Screening and Detection (26 papers). Ji Zhu is often cited by papers focused on Colorectal Cancer Surgical Treatments (50 papers), Colorectal and Anal Carcinomas (41 papers) and Colorectal Cancer Screening and Detection (26 papers). Ji Zhu collaborates with scholars based in China, United States and Japan. Ji Zhu's co-authors include Saharon Rosset, Trevor Hastie, Robert Tibshirani, Pei Wang, Jie Peng, Nengfeng Zhou, Akbar K. Waljee, Peter Higgins, Zhen Zhang and Li Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ji Zhu

171 papers receiving 5.6k citations

Hit Papers

1-norm Support Vector Machines 2003 2026 2010 2018 2003 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. 1-norm Support Vector Machines
    2003 569 citations Ji Zhu, Saharon Rosset et al. Neural Information Processing Systems profile →

Peers

Ji Zhu
Anthony V. D’Amico United States
Jane Fridlyand United States
Rafael Molina Spain
Balasubramanian Narasimhan United States
Andreas A. Argyriou Greece
Trevor F. Cox United Kingdom
Shai Fine United States
Phillip G. Febbo United States
Frederick Klauschen Germany
Keith Baggerly United States
Anthony V. D’Amico United States
Ji Zhu
Citations per year, relative to Ji Zhu Ji Zhu (= 1×) peers Anthony V. D’Amico

Countries citing papers authored by Ji Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Ji Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Zhu. A scholar is included among the top collaborators of Ji Zhu 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 Zhu. Ji Zhu 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.
Chen, Qianping, et al.. (2025). NADPH oxidase activator 1 (NOXA1) suppresses ferroptosis and radiosensitization in colorectal cancer. International Journal of Medical Sciences. 22(6). 1301–1312. 2 indexed citations
2.
Peng, Jing, Jianqiu Wang, Jiangbo Dai, et al.. (2025). Wide‐Bandgap Pyrazine‐Based Polymer Enables Efficient and Stable Organic Photovoltaic Modules for Multi‐Scene Applications †. Chinese Journal of Chemistry. 44(3). 328–334.
3.
Wang, Nan, Weifeng Hong, Yixing Wu, et al.. (2024). Next‐generation spatial transcriptomics: unleashing the power to gear up translational oncology. SHILAP Revista de lepidopterología. 5(10). e765–e765. 3 indexed citations
4.
Zhang, Panpan, Yanru Qin, Jifang Gong, et al.. (2024). A phase I/II study to evaluate the safety, pharmacokinetics, and efficacy of PRJ1-3024 in patients with advanced solid tumors.. Journal of Clinical Oncology. 42(16_suppl). 2590–2590. 1 indexed citations
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Chen, Xinyuan, et al.. (2023). Combining distance and anatomical information for deep-learning based dose distribution predictions for nasopharyngeal cancer radiotherapy planning. Frontiers in Oncology. 13. 1041769–1041769. 9 indexed citations
7.
Zhang, Chun‐Dong, Quanquan Sun, Qianping Chen, et al.. (2023). Unraveling Colorectal Cancer and Pan-cancer Immune Heterogeneity and Synthetic Therapy Response Using Cuproptosis and Hypoxia Regulators by Multi-omic Analysis and Experimental Validation. International Journal of Biological Sciences. 19(11). 3526–3543. 8 indexed citations
8.
Liu, Hui, Wai Ho Yeung, Li Pang, et al.. (2023). Arachidonic acid activates NLRP3 inflammasome in MDSCs via FATP2 to promote post-transplant tumour recurrence in steatotic liver grafts. JHEP Reports. 5(12). 100895–100895. 7 indexed citations
9.
Zhang, Tianyu, Yuting Li, Qianping Chen, et al.. (2023). Combination of irinotecan silicasome nanoparticles with radiation therapy sensitizes immunotherapy by modulating the activation of the cGAS/STING pathway for colorectal cancer. Materials Today Bio. 23. 100809–100809. 12 indexed citations
10.
Zhang, Lijie, Minghe Wang, Jing Zhang, et al.. (2023). Long-term outcomes in a retrospective cohort of patients with rectal cancer with complete response after total neoadjuvant therapy: a propensity-score weighted analysis. Therapeutic Advances in Medical Oncology. 15. 2642691–2642691. 3 indexed citations
11.
Ye, Shan, Rong Liu, Huijuan Song, et al.. (2023). 693P Preclinical activity of HLX43, a PD-L1-targeting ADC, in multiple PD-1/PD-L1 refractory/resistant models. Annals of Oncology. 34. S483–S483.
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Shen, Lijun, Wei Shi, Fan Xia, et al.. (2020). Gut Microbiome Components Predict Response to Neoadjuvant Chemoradiotherapy in Patients with Locally Advanced Rectal Cancer: A Prospective, Longitudinal Study. Clinical Cancer Research. 27(5). 1329–1340. 130 indexed citations
15.
Zhang, Sheng, Fei Liang, Ji Zhu, & Qiang Chen. (2017). Risk of Pneumonitis Associated with Programmed Cell Death 1 Inhibitors in Cancer Patients: A Meta-analysis. Molecular Cancer Therapeutics. 16(8). 1588–1595. 18 indexed citations
16.
Singal, Amit G., Ashin Mukherjee, Joseph Elmunzer, et al.. (2013). Machine Learning Algorithms Outperform Conventional Regression Models in Predicting Development of Hepatocellular Carcinoma. The American Journal of Gastroenterology. 108(11). 1723–1730. 210 indexed citations
17.
Zhao, Yunpeng, Elizaveta Levina, & Ji Zhu. (2011). On Consistency of Community Detection in Networks. arXiv (Cornell University). 4 indexed citations
18.
Hu, Weigang, et al.. (2008). Margin Reduction with Active Breathing Control in Image Guided Gastric Cancer Radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 72(1). S255–S256. 1 indexed citations
19.
Wang, Li, Ji Zhu, & Hui Zou. (2006). The doubly regularized support vector machine. Statistica Sinica. 16(2). 589–615. 169 indexed citations
20.
Zhu, Ji, Saharon Rosset, Robert Tibshirani, & Trevor Hastie. (2003). 1-norm Support Vector Machines. Neural Information Processing Systems. 16. 49–56. 569 indexed citations breakdown →

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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