Jingmou Yu

884 total citations
44 papers, 714 citations indexed

About

Jingmou Yu is a scholar working on Biomaterials, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Jingmou Yu has authored 44 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Biomaterials, 21 papers in Molecular Biology and 12 papers in Biomedical Engineering. Recurrent topics in Jingmou Yu's work include Nanoparticle-Based Drug Delivery (24 papers), Nanoplatforms for cancer theranostics (10 papers) and Advanced Drug Delivery Systems (9 papers). Jingmou Yu is often cited by papers focused on Nanoparticle-Based Drug Delivery (24 papers), Nanoplatforms for cancer theranostics (10 papers) and Advanced Drug Delivery Systems (9 papers). Jingmou Yu collaborates with scholars based in China, Canada and South Korea. Jingmou Yu's co-authors include Liyan Qiu, Yi Jin, Xin Xie, Yongjie Li, Yonghua Liu, Yong-Jie Li, Jianguo Zhao, Xiaoyuan Xu, Huan Yu and Pu Chen and has published in prestigious journals such as PLoS ONE, Biomaterials and Chemical Engineering Journal.

In The Last Decade

Jingmou Yu

42 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingmou Yu China 17 441 275 227 121 82 44 714
Shaoping Yin China 14 326 0.7× 254 0.9× 243 1.1× 126 1.0× 46 0.6× 26 768
Bolin Cheng China 12 345 0.8× 308 1.1× 233 1.0× 102 0.8× 47 0.6× 16 676
Nima Sepehri Iran 11 365 0.8× 252 0.9× 193 0.9× 147 1.2× 29 0.4× 16 757
Tianyang Ren China 17 343 0.8× 268 1.0× 213 0.9× 270 2.2× 50 0.6× 26 857
Swetha Rasala Ireland 6 228 0.5× 175 0.6× 161 0.7× 115 1.0× 43 0.5× 6 697
Haijun Zhong China 6 213 0.5× 189 0.7× 141 0.6× 76 0.6× 38 0.5× 7 476
Soheil Abbaspour‐Ravasjani Iran 16 360 0.8× 461 1.7× 274 1.2× 95 0.8× 168 2.0× 23 1.0k
Hossam S. El‐Sawy Egypt 10 441 1.0× 293 1.1× 367 1.6× 239 2.0× 69 0.8× 20 1.0k
Danfeng Chang China 9 277 0.6× 189 0.7× 221 1.0× 59 0.5× 73 0.9× 11 662
Yihenew Simegniew Birhan Taiwan 17 266 0.6× 188 0.7× 261 1.1× 48 0.4× 74 0.9× 39 732

Countries citing papers authored by Jingmou Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jingmou Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingmou Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingmou Yu. A scholar is included among the top collaborators of Jingmou Yu 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 Jingmou Yu. Jingmou Yu 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, Yingjie, Ying Yu, L W Jiang, et al.. (2025). MiR •101 and miR •122 Targeting δ‐Catenin to Regulate Keratinocyte Responsiveness to IL ‐ 17A in Psoriasis. The FASEB Journal. 39(7). e70539–e70539.
2.
Zhang, Lulu, Haiyang Liu, Yanrong Cao, et al.. (2025). Reduction-Responsive Nanoparticles Self-Assembled from Sericin-ss-Doxorubicin Conjugate for Hydrophobic IR780 Delivery with Integration of Antitumor Chemo-Phototherapy. International Journal of Nanomedicine. Volume 20. 13573–13586. 1 indexed citations
3.
Yu, Jingmou, et al.. (2025). Factors affecting life satisfaction among retired older adults. Frontiers in Public Health. 13. 1367638–1367638. 2 indexed citations
4.
Yu, Jingmou, Jing Xu, Yuanyuan Ding, et al.. (2024). Versatile chondroitin sulfate-based nanoplatform for chemo-photodynamic therapy against triple-negative breast cancer. International Journal of Biological Macromolecules. 265. 130709–130709. 17 indexed citations
5.
Zhang, Lei, et al.. (2024). Aromatic Amino Acid-Dependent Surface Assembly of Amphiphilic Peptides for One-Step Graphite Exfoliation and Graphene Functionalization. The Journal of Physical Chemistry Letters. 15(25). 6611–6620.
6.
Yu, Jingmou, Yifei Zhang, Meilin Xu, et al.. (2024). Innovative gelatin-based micelles with AS1411 aptamer targeting and reduction responsiveness for doxorubicin delivery in tumor therapy. Biomedicine & Pharmacotherapy. 174. 116446–116446. 6 indexed citations
7.
Zhang, Lei, Liang Yao, Xing Cheng, et al.. (2023). Sericin “hairpin structure”-based multifunctional anthocyanin nanoencapsulation for remodeling ROS-dependent cutaneous wound healing. Chemical Engineering Journal. 475. 145863–145863. 15 indexed citations
8.
Dai, Jun, Jianyun Liu, Lifang Zhang, et al.. (2023). Layered double hydroxides - poloxamer 188 nanocomposites based on exfoliation reassembling for improved cellular uptake and controlled delivery of methotrexate. Pharmaceutical Development and Technology. 28(8). 743–754. 1 indexed citations
9.
10.
Yu, Jingmou, Xin Xie, Liangliang Wang, et al.. (2023). Smart Chondroitin Sulfate Micelles for Effective Targeted Delivery of Doxorubicin Against Breast Cancer Metastasis. International Journal of Nanomedicine. Volume 18. 663–677. 17 indexed citations
11.
Lu, Yunhua, et al.. (2023). Peptide-based Self-assembly: Design, Bioactive Properties, and Its Applications. Current Pharmaceutical Design. 29(9). 640–651. 6 indexed citations
12.
Xie, Xin, Zhen Yuan, Yuyou Huang, et al.. (2020). Preparation and characterization of amphiphilic nanoparticles based on chondroitin sulfate A conjugated with hydrophobic drug for enhanced doxorubicin delivery. Colloid & Polymer Science. 299(1). 129–136. 9 indexed citations
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15.
Liu, Hongxia, et al.. (2017). Reduction-sensitive micelles self-assembled from amphiphilic chondroitin sulfate A-deoxycholic acid conjugate for triggered release of doxorubicin. Materials Science and Engineering C. 75. 55–63. 52 indexed citations
16.
Yu, Jingmou, Yufeng Zhou, Wencong Chen, et al.. (2015). Preparation, Characterization and Evaluation of α-Tocopherol Succinate-Modified Dextran Micelles as Potential Drug Carriers. Materials. 8(10). 6685–6696. 23 indexed citations
17.
Yu, Jingmou, et al.. (2015). Self-aggregated nanoparticles of linoleic acid-modified glycol chitosan conjugate as delivery vehicles for paclitaxel: preparation, characterization and evaluation. Journal of Biomaterials Science Polymer Edition. 26(18). 1475–1489. 6 indexed citations
18.
Xu, Jing, Jingmou Yu, Xiaoqing Xu, et al.. (2014). Development, Characterization, and Evaluation of PSMA‐Targeted Glycol Chitosan Micelles for Prostate Cancer Therapy. Journal of Nanomaterials. 2014(1). 14 indexed citations
19.
Yu, Jingmou, Weidong Li, Lu Lu, et al.. (2013). Preparation and characterization of galactosylated glycol chitosan micelles and its potential use for hepatoma-targeting delivery of doxorubicin. Journal of Materials Science Materials in Medicine. 25(3). 691–701. 18 indexed citations
20.
Yu, Jingmou, Yongjie Li, Liyan Qiu, & Yi Jin. (2009). Polymeric nanoparticles of cholesterol-modified glycol chitosan for doxorubicin delivery: preparation and in-vitro and in-vivo characterization. Journal of Pharmacy and Pharmacology. 61(6). 713–719. 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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