Wei Han

3.0k total citations · 2 hit papers
87 papers, 2.3k citations indexed

About

Wei Han is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Wei Han has authored 87 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 24 papers in Cancer Research and 22 papers in Biomedical Engineering. Recurrent topics in Wei Han's work include Nanoplatforms for cancer theranostics (19 papers), Cancer, Hypoxia, and Metabolism (12 papers) and Advanced Nanomaterials in Catalysis (8 papers). Wei Han is often cited by papers focused on Nanoplatforms for cancer theranostics (19 papers), Cancer, Hypoxia, and Metabolism (12 papers) and Advanced Nanomaterials in Catalysis (8 papers). Wei Han collaborates with scholars based in China, United States and Czechia. Wei Han's co-authors include Wei Zheng, Yu Cai, Chuanhui Song, Chuanchao Tang, Xiaochen Dong, Yufeng Wang, Wenguang Xu, Jianchuan Ran, Xiteng Yin and Huihui Zou and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and Angewandte Chemie International Edition.

In The Last Decade

Wei Han

81 papers receiving 2.3k citations

Hit Papers

Optical nano-agents in the second near-infrared window fo... 2018 2026 2020 2023 2018 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Han China 27 996 889 654 416 361 87 2.3k
Lin Tang China 28 1.2k 1.2× 1.1k 1.2× 595 0.9× 355 0.9× 233 0.6× 72 2.5k
Yu Chang China 26 838 0.8× 845 1.0× 570 0.9× 430 1.0× 379 1.0× 96 2.7k
Hu Xiong China 29 725 0.7× 1.3k 1.5× 654 1.0× 178 0.4× 286 0.8× 77 2.6k
Ziyang Cao China 29 1.1k 1.1× 919 1.0× 398 0.6× 216 0.5× 338 0.9× 64 2.3k
Shiyun Bao China 17 927 0.9× 903 1.0× 700 1.1× 518 1.2× 152 0.4× 31 2.2k
Wenting Shang China 30 1.3k 1.3× 566 0.6× 687 1.1× 169 0.4× 246 0.7× 55 2.3k
Zhixiong Cai China 27 822 0.8× 863 1.0× 315 0.5× 417 1.0× 331 0.9× 76 2.1k
Yelin Wu China 31 1.3k 1.3× 717 0.8× 855 1.3× 160 0.4× 255 0.7× 84 2.9k
Tae Sup Lee South Korea 24 464 0.5× 842 0.9× 316 0.5× 236 0.6× 218 0.6× 81 2.0k
Jia Lv China 34 727 0.7× 2.0k 2.3× 533 0.8× 368 0.9× 247 0.7× 78 3.6k

Countries citing papers authored by Wei Han

Since Specialization
Citations

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

Fields of papers citing papers by Wei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Han

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Han. A scholar is included among the top collaborators of Wei Han 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 Wei Han. Wei Han 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.
Zhang, Xilun, et al.. (2025). Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications. IEEE Robotics and Automation Letters. 10(4). 3190–3197.
2.
Wang, Weili, Jinjun Shao, Kang Xu, et al.. (2025). Suppressing Non‐Radiative Decay via Cyanation: A Promising Design Strategy for Bright Organic NIR‐II Fluorophores. Angewandte Chemie International Edition. 65(5). e22260–e22260.
3.
Wang, Yang, et al.. (2025). The value of habitat analysis based on 18F-PSMA-1007 PET/CT images for prostate cancer risk grading. BMC Medical Imaging. 25(1). 293–293.
4.
Zhang, Jifeng, et al.. (2025). Targeting tumor microenvironmental barriers to enhance immunogenic cell death in solid tumors. Frontiers in Immunology. 16. 1672601–1672601. 1 indexed citations
5.
Xu, Lin, Wanli Ma, Xiaoyu Huo, et al.. (2024). New insights into the function and mechanisms of piRNA PMLCPIR in promoting PM2.5-induced lung cancer. Journal of Advanced Research. 73. 659–670. 9 indexed citations
6.
Wen, Juan, et al.. (2024). Mesenchymal Stem Cell-Derived Extracellular Vesicles in Bone-Related Diseases: Intercellular Communication Messengers and Therapeutic Engineering Protagonists. International Journal of Nanomedicine. Volume 19. 3233–3257. 17 indexed citations
7.
Tang, Chuanchao, Yi Pan, Wei Zheng, et al.. (2023). Side-chain engineering of organic photothermal agents for boosting further red-shifted absorption and higher photothermal therapeutic effect. Colloids and Surfaces B Biointerfaces. 233. 113611–113611. 5 indexed citations
8.
Han, Wei, Yumeng Huang, Wen Lu, et al.. (2023). Advanced progress of spatial metabolomics in head and neck cancer research. Neoplasia. 47. 100958–100958. 7 indexed citations
9.
Yin, Xiteng, Wei Zheng, Yufeng Wang, et al.. (2023). Large-Scale Identification of Lysine Crotonylation Reveals Its Potential Role in Oral Squamous Cell Carcinoma. Cancer Management and Research. Volume 15. 1165–1179. 5 indexed citations
10.
Meng, Ying, Yuting Tang, Wei Han, et al.. (2022). Metabolomic Analysis Reveals that SPHK1 Promotes Oral Squamous Cell Carcinoma Progression through NF-κB Activation. Annals of Surgical Oncology. 29(12). 7386–7399. 7 indexed citations
11.
Zheng, Wei, Huihui Zou, Gongyuan Liu, et al.. (2021). Peroxidase-mimicking evodiamine/indocyanine green nanoliposomes for multimodal imaging-guided theranostics for oral squamous cell carcinoma. Bioactive Materials. 6(7). 2144–2157. 44 indexed citations
13.
Han, Wei, Songsong Guo, Yizhou Wang, et al.. (2021). Evaluation of autofluorescence visualization system in the delineation of oral squamous cell carcinoma surgical margins. Photodiagnosis and Photodynamic Therapy. 36. 102487–102487. 8 indexed citations
14.
Ran, Jianchuan, Huihui Zou, Xiaoye Li, et al.. (2020). A population-based competing risk survival analysis of patients with salivary duct carcinoma. Annals of Translational Medicine. 8(21). 1355–1355. 6 indexed citations
15.
Yin, Xiteng, Shengwei Han, Chuanhui Song, et al.. (2019). Metformin enhances gefitinib efficacy by interfering with interactions between tumor-associated macrophages and head and neck squamous cell carcinoma cells. Cellular Oncology. 42(4). 459–475. 44 indexed citations
16.
Yin, Xiteng, Wei Zheng, Chuanhui Song, et al.. (2018). Metformin sensitizes hypoxia-induced gefitinib treatment resistance of HNSCC via cell cycle regulation and EMT reversal. Cancer Management and Research. Volume 10. 5785–5798. 16 indexed citations
17.
Jiang, Qian, et al.. (2016). Hypoxia inducible factor: a potential prognostic biomarker in oral squamous cell carcinoma. Tumor Biology. 37(8). 10815–10820. 19 indexed citations
18.
Zhang, Chunxiao, et al.. (2015). MicroRNA-223 Is Upregulated in Active Tuberculosis Patients and Inhibits Apoptosis of Macrophages by Targeting FOXO3. Genetic Testing and Molecular Biomarkers. 19(12). 650–656. 48 indexed citations
19.
Shi, Peihua, Xiu Huang, Zichun Hua, et al.. (2010). Peripheral blood dendritic cells and vascular endothelial growth factor in oral squamous cell carcinoma: correlation analysis and in vitro study. International Journal of Oral and Maxillofacial Surgery. 39(7). 713–720. 4 indexed citations
20.
Han, Wei. (2003). Effect of LRP16 on Breast Cancer MCF-7 Cell Proliferation. Zhongguo shengwu huaxue yu fenzi shengwu xuebao. 2 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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