Jiyuan Yang

5.1k total citations
113 papers, 4.3k citations indexed

About

Jiyuan Yang is a scholar working on Molecular Biology, Biomaterials and Oncology. According to data from OpenAlex, Jiyuan Yang has authored 113 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 40 papers in Biomaterials and 34 papers in Oncology. Recurrent topics in Jiyuan Yang's work include RNA Interference and Gene Delivery (21 papers), Nanoparticle-Based Drug Delivery (21 papers) and CAR-T cell therapy research (15 papers). Jiyuan Yang is often cited by papers focused on RNA Interference and Gene Delivery (21 papers), Nanoparticle-Based Drug Delivery (21 papers) and CAR-T cell therapy research (15 papers). Jiyuan Yang collaborates with scholars based in United States, China and Czechia. Jiyuan Yang's co-authors include Jindřich Kopeček, Pavla Kopečková, Huaizhong Pan, Yan Zhou, Kui Luo, Monika Sima, Kuangshi Wu, D. Christopher Radford, Yu Lin and Jihua Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Jiyuan Yang

110 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiyuan Yang United States 39 2.0k 1.5k 1.3k 740 600 113 4.3k
Tetsuji Yamaoka Japan 36 2.5k 1.2× 1.5k 1.0× 1.4k 1.1× 619 0.8× 210 0.3× 231 5.4k
Shawn C. Owen United States 23 1.2k 0.6× 948 0.6× 880 0.7× 639 0.9× 416 0.7× 43 3.0k
Blanka Řı́hová Czechia 43 2.8k 1.4× 1.7k 1.1× 1.6k 1.2× 978 1.3× 752 1.3× 140 5.0k
Hong Yeol Yoon South Korea 48 3.2k 1.6× 2.7k 1.8× 3.2k 2.4× 522 0.7× 619 1.0× 100 6.7k
J. Strohalm Czechia 40 2.7k 1.4× 2.2k 1.5× 1.3k 1.0× 1.0k 1.4× 868 1.4× 90 5.2k
Shixian Lv China 36 2.2k 1.1× 1.5k 1.0× 1.8k 1.3× 561 0.8× 361 0.6× 80 4.1k
Vladimír Šubr Czechia 46 3.3k 1.6× 2.7k 1.8× 2.6k 2.0× 1.2k 1.6× 862 1.4× 129 7.4k
Wenwu Xiao China 32 1.6k 0.8× 1.4k 1.0× 1.5k 1.1× 434 0.6× 306 0.5× 105 4.3k
Thavasyappan Thambi South Korea 42 2.1k 1.0× 1000 0.7× 1.9k 1.4× 360 0.5× 167 0.3× 97 4.4k
Kyung Hyun Min South Korea 29 2.4k 1.2× 1.3k 0.9× 2.0k 1.5× 392 0.5× 230 0.4× 71 4.2k

Countries citing papers authored by Jiyuan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jiyuan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiyuan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiyuan Yang. A scholar is included among the top collaborators of Jiyuan Yang 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 Jiyuan Yang. Jiyuan Yang 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.
Ljubimov, Vladimir A., Tao Sun, Jiawei Wang, et al.. (2025). Blood-brain barrier crossing biopolymer targeting c-Myc and anti-PD-1 activate primary brain lymphoma immunity: Artificial intelligence analysis. Journal of Controlled Release. 381. 113611–113611. 2 indexed citations
2.
Li, Jiahui, Emilio Cortes-Sanchez, Matthew W. VanBrocklin, et al.. (2025). Polymer-based chemo-immunotherapy: Combining immunogenic cell death induction and PD-L1 blockade enhances antitumor immunity in melanoma. Journal of Controlled Release. 387. 114193–114193.
3.
4.
Bhattacharyya, Sumit, InSug O‐Sullivan, Herbert E. Whiteley, et al.. (2025). Arylsulfatase B induces melanoma apoptosis by the ubiquitin ligase COP1. Journal of Biological Chemistry. 301(8). 110402–110402.
5.
Li, Jiahui, Monika Sima, Douglas W. Sborov, et al.. (2025). PD-L1 targeted antibody-polymer-Epirubicin conjugate prolongs survival in a preclinical murine model of advanced ovarian cancer. Journal of Controlled Release. 382. 113682–113682. 2 indexed citations
6.
Yang, Jiyuan, et al.. (2023). Multi-targeted immunotherapeutics to treat B cell malignancies. Journal of Controlled Release. 358. 232–258. 7 indexed citations
7.
Qi, Runze, et al.. (2022). Effect of terminal chain length on mesomorphic behavior and selective reflection of blue phase liquid crystals. Liquid Crystals. 49(12). 1689–1697. 4 indexed citations
8.
Li, Yachao, Lian Li, Jiawei Wang, et al.. (2020). Dendronized polymer conjugates with amplified immunogenic cell death for oncolytic immunotherapy. Journal of Controlled Release. 329. 1129–1138. 18 indexed citations
9.
Yang, Jiyuan, Lian Li, & Jindřich Kopeček. (2018). Biorecognition: A key to drug-free macromolecular therapeutics. Biomaterials. 190-191. 11–23. 38 indexed citations
10.
Zhang, Libin, et al.. (2016). Drug-free macromolecular therapeutics: Impact of structure on induction of apoptosis in Raji B cells. Journal of Controlled Release. 263. 139–150. 23 indexed citations
11.
Zhang, Libin, Rui Zhang, Jiyuan Yang, Jiawei Wang, & Jindřich Kopeček. (2016). Indium-based and iodine-based labeling of HPMA copolymer–epirubicin conjugates: Impact of structure on the in vivo fate. Journal of Controlled Release. 235. 306–318. 15 indexed citations
12.
Zhang, Rui, et al.. (2016). Tracking and quantifying polymer therapeutic distribution on a cellular level using 3D dSTORM. Journal of Controlled Release. 231. 50–59. 12 indexed citations
13.
Kverka, Miloslav, et al.. (2014). Immunogenicity of coiled-coil based drug-free macromolecular therapeutics. Biomaterials. 35(22). 5886–5896. 24 indexed citations
14.
Cai, Zhiqiang, et al.. (2014). Chemotherapy-associated hepatotoxicity in colorectal cancer.. PubMed. 19(2). 350–6. 17 indexed citations
15.
Zhou, Yan, Jiyuan Yang, Rui Zhang, & Jindřich Kopeček. (2014). Combination therapy of prostate cancer with HPMA copolymer conjugates containing PI3K/mTOR inhibitor and docetaxel. European Journal of Pharmaceutics and Biopharmaceutics. 89. 107–115. 22 indexed citations
16.
Yang, Jiyuan, et al.. (2014). Nasopharyngeal carcinoma metastasis to the mammary gland: A case report. Oncology Letters. 9(1). 275–277. 4 indexed citations
17.
Lin, Yu, et al.. (2013). Preparation and surface modification of hierarchical nanosheets-based ZnO microstructures for dye-sensitized solar cells. Journal of Solid State Chemistry. 210(1). 160–165. 14 indexed citations
18.
Zhou, Yan, Jiyuan Yang, Johng S. Rhim, & Jindřich Kopeček. (2013). HPMA copolymer-based combination therapy toxic to both prostate cancer stem/progenitor cells and differentiated cells induces durable anti-tumor effects. Journal of Controlled Release. 172(3). 946–953. 47 indexed citations
19.
Ke, Qinghua, et al.. (2012). Early Efficacy of Endostar Combined with Chemoradiotherapy for Advanced Cervical Cancers. Asian Pacific Journal of Cancer Prevention. 13(3). 923–926. 22 indexed citations
20.
Yang, Jiyuan, et al.. (2006). Hybrid Hydrogels Self‐Assembled from HPMA Copolymers Containing Peptide Grafts. Macromolecular Bioscience. 6(3). 201–209. 64 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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