Yue Pan

7.2k total citations · 1 hit paper
167 papers, 6.1k citations indexed

About

Yue Pan is a scholar working on Biomedical Engineering, Materials Chemistry and Biomaterials. According to data from OpenAlex, Yue Pan has authored 167 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Biomedical Engineering, 49 papers in Materials Chemistry and 40 papers in Biomaterials. Recurrent topics in Yue Pan's work include Nanoplatforms for cancer theranostics (36 papers), Nanoparticle-Based Drug Delivery (25 papers) and Advanced Nanomaterials in Catalysis (17 papers). Yue Pan is often cited by papers focused on Nanoplatforms for cancer theranostics (36 papers), Nanoparticle-Based Drug Delivery (25 papers) and Advanced Nanomaterials in Catalysis (17 papers). Yue Pan collaborates with scholars based in China, United States and Hong Kong. Yue Pan's co-authors include Bing Xu, Fan Zhao, Hongwei Gu, Xuewen Du, Xiaobing Zhang, Lin Yuan, Dan Cheng, Cuicui Ge, Xixiang Zhang and Jinhao Gao and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and SHILAP Revista de lepidopterología.

In The Last Decade

Yue Pan

158 papers receiving 6.0k citations

Hit Papers

Selective Visualization o... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yue Pan 2.8k 2.3k 1.5k 1.3k 866 167 6.1k
Lingjie Meng 2.5k 0.9× 3.3k 1.5× 1.1k 0.7× 1.1k 0.8× 1.2k 1.4× 167 5.7k
Chunlei Zhu 3.2k 1.1× 3.2k 1.4× 1.0k 0.7× 1.2k 0.9× 741 0.9× 85 6.5k
Hongzhong Chen 3.6k 1.3× 3.8k 1.7× 2.0k 1.3× 1.5k 1.1× 968 1.1× 124 8.2k
Zhaogang Teng 3.6k 1.3× 3.4k 1.5× 1.8k 1.2× 1.4k 1.0× 520 0.6× 168 6.8k
Shengliang Li 4.2k 1.5× 4.2k 1.9× 1.0k 0.7× 1.4k 1.0× 1.4k 1.6× 168 7.9k
Daniel Horák 2.8k 1.0× 2.0k 0.9× 2.2k 1.5× 1.6k 1.2× 524 0.6× 272 6.9k
Jianhua Zou 4.5k 1.6× 4.1k 1.8× 996 0.7× 2.1k 1.6× 744 0.9× 167 8.4k
Xiangling Ren 2.3k 0.8× 2.7k 1.2× 901 0.6× 1.5k 1.1× 1.2k 1.4× 141 5.3k
Yuqi Zhang 2.3k 0.8× 1.8k 0.8× 695 0.5× 952 0.7× 1.1k 1.2× 248 5.3k
Kenry Kenry 4.2k 1.5× 3.5k 1.5× 1.0k 0.7× 1.2k 0.9× 1.3k 1.5× 83 6.9k

Countries citing papers authored by Yue Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yue Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Pan. A scholar is included among the top collaborators of Yue Pan 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 Yue Pan. Yue Pan 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.
Shen, Wen‐Hui, Xuping Yang, Yutian Zhang, et al.. (2025). Senescent macrophages in tumor: phenotypes, roles, and interventions. Cell Death and Disease. 16(1). 677–677.
2.
Zhang, Xinke, et al.. (2025). Asymmetric Diamination of the In Situ Generated Difluoroenol Species Using Azocarboxamides as an N Source. ACS Catalysis. 15(21). 18097–18103.
3.
Yang, Hanlong, et al.. (2025). A teacher-student framework leveraging large vision model for data pre-annotation and YOLO for tunnel lining multiple defects instance segmentation. Journal of Industrial Information Integration. 44. 100790–100790. 6 indexed citations
4.
Pan, Yue, et al.. (2024). A Cascaded Controller Design for Switched Reluctance Motor Based on Dung Beetle Optimizer. IEEJ Transactions on Electrical and Electronic Engineering. 19(11). 1879–1887. 1 indexed citations
5.
Li, Yahao, Wenping Si, Yue Pan, et al.. (2024). Tuning active sites of carbon nitride using NiO nanoparticles for efficient photocatalytic generation of hydrogen peroxide. Applied Surface Science. 662. 160111–160111. 7 indexed citations
6.
Pan, Yue, Li Min, Mingxing Wang, et al.. (2024). Preparation of halloysite-based PVDF membrane for effective oil/water separation and dyes removal. Separation and Purification Technology. 359. 130595–130595. 5 indexed citations
7.
Pan, Yue, Jing Ren, Yifan Sun, et al.. (2024). Harnessing chirality: A new dawn in inorganic nanomaterial synthesis and biomedical applications. Chinese Chemical Letters. 37(4). 110791–110791.
8.
Cheng, Guowang, Zhiwen Liu, Jiaxin Wu, et al.. (2024). Minocycline nanoplatform penetrates the BBB and enables the targeted treatment of Parkinson's disease with cognitive impairment. Journal of Controlled Release. 377. 591–605. 6 indexed citations
9.
Qiu, Xiaoyun, et al.. (2024). Driving Style-aware Car-following Considering Cut-in Tendencies of Adjacent Vehicles with Inverse Reinforcement Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1329–1336. 2 indexed citations
11.
Tao, Qing, Shuang Yang, Sheng Wang, et al.. (2024). Neural Progenitor Cell-Mediated Magnetic Nanoparticles for Magnetic Resonance Imaging and Photothermal Therapy of Glioma. ACS Applied Bio Materials. 7(7). 4553–4561. 3 indexed citations
12.
Wang, Haobing, Dan Li, Yue Pan, et al.. (2024). Enhanced Sonodynamic Therapy for Deep Tumors Using a Self-Assembled Organoplatinum(II) Sonosensitizer. Journal of Medicinal Chemistry. 67(20). 18356–18367. 10 indexed citations
13.
Liu, Zhimin, et al.. (2023). Multi-Objective Parameter Optimization of Submersible Well Pumps Based on RBF Neural Network and Particle Swarm Optimization. Applied Sciences. 13(15). 8772–8772. 1 indexed citations
14.
Ding, Yuxun, Xiaohui Xiao, Lu Bai, et al.. (2023). Enhanced radiosensitivity and chemoradiation efficacy in nasopharyngeal carcinoma via a dual-targeted SPION@polymer hybrid nanosensitizer. NPG Asia Materials. 15(1). 5 indexed citations
15.
Miao, Shiyu, et al.. (2023). Research on lime rotary kiln temperature prediction by multi-model fusion neural network based on dynamic time delay analysis. Thermal Science. 28(3 Part B). 2703–2715. 2 indexed citations
16.
Yuan, Guotao, Shitong Zhang, Zaixing Yang, et al.. (2022). Precisely modulated 2D PdCu alloy nanodendrites as highly active peroxidase mimics for the elimination of biofilms. Biomaterials Science. 10(24). 7067–7076. 15 indexed citations
17.
Li, Gaocai, Qianqian Zhu, Bingjin Wang, et al.. (2021). Rejuvenation of Senescent Bone Marrow Mesenchymal Stromal Cells by Pulsed Triboelectric Stimulation. Advanced Science. 8(18). e2100964–e2100964. 52 indexed citations
18.
Wu, Xiaqing, Yan Cheng, Runxiao Zheng, et al.. (2021). Immunomodulation of Tumor Microenvironment by Arginine-Loaded Iron Oxide Nanoparticles for Gaseous Immunotherapy. ACS Applied Materials & Interfaces. 13(17). 19825–19835. 58 indexed citations
19.
Ji, Wei, Hao Wang, Fei Gao, et al.. (2019). Cuprous cluster as effective single-molecule metallaphotocatalyst in white light-driven C H arylation. Journal of Catalysis. 378. 270–276. 8 indexed citations
20.
Tian, Xin, et al.. (2018). Biofunctional magnetic hybrid nanomaterials for theranostic applications. Nanotechnology. 30(3). 32002–32002. 9 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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