According to the latest citation data from the Scopus database, we have compiled the top 5 most-cited review articles published in Intelligent Oncology in 2025. These articles focus on the deep intersection and cutting-edge applications of AI in oncology, pathology, and multi-omics, demonstrating exceptional academic impact!Here is the detailed list:
Cited 22 times
1. Artificial intelligence in tumor drug resistance: Mechanisms and treatment prospects
https://doi.org/10.1016/j.intonc.2025.02.001
How to Cite? Gu J, Zhang J, Zeng S, et al. Artificial intelligence in tumor drug resistance: Mechanisms and treatment prospects. Intelligent Oncology. 2025;1(2):73-88.
Cited 18 times
2. Computational pathology: A comprehensive review of recent developments in digital and intelligent pathology
https://doi.org/10.1016/j.intonc.2025.03.004
How to Cite? Huang Q, Wu S, Ou Z, Gao Y. Computational pathology: A comprehensive review of recent developments in digital and intelligent pathology. Intelligent Oncology. 2025;1(2):139-159.
Tied for 3rd, Cited 16 times
3. Virtual staining for pathology: Challenges, limitations and perspectives
https://doi.org/10.1016/j.intonc.2025.03.005
How to Cite? Lin W, Hu Y, Zhu R, Wang B, Wang L. Virtual staining for pathology: Challenges, limitations and perspectives. Intelligent Oncology. 2025;1(2):105-119.
4. Multi-omics synergy in oncology: Unraveling the complex interplay of radiomic, genoproteomic, and pathological data
https://doi.org/10.1016/j.intonc.2024.10.003
How to Cite? Luo Y, Li Y, Fang M, et al. Multi-omics Synergy in Oncology: Unraveling the Complex Interplay of Radiomic, Genoproteomic, and Pathological Data. Intelligent Oncology. 2025;1(1):17-30.
5. Artificial intelligence in clinical trials of lung cancer: Current and future prospects
https://doi.org/10.1016/j.intonc.2024.11.003
How to Cite? Zhang Y, You P, Liu R, et al. Artificial Intelligence in Clinical Trials of Lung Cancer: Current and Future Prospects. Intelligent Oncology. 2025;1(1):34-51.
We extend our gratitude to all the authors and reviewers for their outstanding contributions to advancing intelligent oncology! We welcome you to share these cutting-edge findings.
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