Yanzhi Song

2.9k total citations
102 papers, 2.3k citations indexed

About

Yanzhi Song is a scholar working on Immunology, Biomaterials and Molecular Biology. According to data from OpenAlex, Yanzhi Song has authored 102 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Immunology, 46 papers in Biomaterials and 41 papers in Molecular Biology. Recurrent topics in Yanzhi Song's work include Nanoparticle-Based Drug Delivery (44 papers), Nanoplatforms for cancer theranostics (30 papers) and Immune cells in cancer (24 papers). Yanzhi Song is often cited by papers focused on Nanoparticle-Based Drug Delivery (44 papers), Nanoplatforms for cancer theranostics (30 papers) and Immune cells in cancer (24 papers). Yanzhi Song collaborates with scholars based in China, United States and Denmark. Yanzhi Song's co-authors include Yihui Deng, Xinrong Liu, Xiang Luo, Qiujun Qiu, Yihui Deng, Xiaoxue Lai, Ling Hu, Yuqing Su, Xinrong Liu and Shuo Wang and has published in prestigious journals such as ACS Nano, Biomaterials and ACS Applied Materials & Interfaces.

In The Last Decade

Yanzhi Song

95 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanzhi Song China 27 960 791 693 649 325 102 2.3k
Ommoleila Molavi Iran 27 1.3k 1.3× 541 0.7× 557 0.8× 373 0.6× 507 1.6× 73 2.7k
Xun Sun China 30 1.4k 1.5× 691 0.9× 543 0.8× 1.0k 1.6× 283 0.9× 60 2.9k
Qin Lu China 32 1.2k 1.2× 732 0.9× 394 0.6× 875 1.3× 399 1.2× 106 3.0k
Xiang Gao China 31 1.1k 1.2× 758 1.0× 375 0.5× 704 1.1× 453 1.4× 95 2.8k
Giuseppina Bozzuto Italy 17 1.1k 1.2× 737 0.9× 233 0.3× 490 0.8× 218 0.7× 35 2.4k
Wenmin Yuan United States 28 896 0.9× 636 0.8× 517 0.7× 471 0.7× 366 1.1× 53 2.2k
Xiuli Zhao China 34 1.6k 1.6× 1.3k 1.6× 560 0.8× 1.2k 1.8× 442 1.4× 106 3.5k
Meong Cheol Shin South Korea 26 915 1.0× 619 0.8× 320 0.5× 535 0.8× 126 0.4× 65 1.9k
Hanmei Li China 23 740 0.8× 563 0.7× 296 0.4× 550 0.8× 183 0.6× 66 2.1k

Countries citing papers authored by Yanzhi Song

Since Specialization
Citations

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

Fields of papers citing papers by Yanzhi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanzhi Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yanzhi Song. A scholar is included among the top collaborators of Yanzhi Song 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 Yanzhi Song. Yanzhi Song 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
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Tang, Xueying, Jiashuo Zhang, Zihan Xu, et al.. (2024). Durable protective efficiency provide by mRNA vaccines require robust immune memory to antigens and weak immune memory to lipid nanoparticles. Materials Today Bio. 25. 100988–100988. 3 indexed citations
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Lü, Wei, Dan Zhao, Lin Lin, et al.. (2023). Targeting of TAMs with freeze-dried monosialotetrahexosylganglioside and sialic acid-octadecylamine co-modified liposomes remodels the tumor microenvironment and enhances anti-tumor activity. European Journal of Pharmaceutics and Biopharmaceutics. 184. 50–61. 1 indexed citations
6.
Zhang, Hongxia, Lingyan Chen, Mingqi Wang, et al.. (2023). Liposomal Doxorubicin: the Sphingomyelin/Cholesterol System Significantly Enhances the Antitumor Efficacy of Doxorubicin. AAPS PharmSciTech. 24(2). 64–64. 4 indexed citations
7.
Tang, Xueying, Jiashuo Zhang, Tianyu Wang, et al.. (2023). Simultaneous dendritic cells targeting and effective endosomal escape enhance sialic acid-modified mRNA vaccine efficacy and reduce side effects. Journal of Controlled Release. 364. 529–545. 34 indexed citations
8.
Chen, Meng, et al.. (2022). Deuterated colchicine liposomes based on oligomeric hyaluronic acid modification enhance anti-tumor effect and reduce systemic toxicity. International Journal of Pharmaceutics. 632. 122578–122578. 20 indexed citations
9.
Wang, Mingqi, Meng Chen, Zihan Xu, et al.. (2022). An Application of Tumor-Associated Macrophages as Immunotherapy Targets: Sialic Acid–Modified EPI-Loaded Liposomes Inhibit Breast Cancer Metastasis. AAPS PharmSciTech. 23(8). 285–285. 6 indexed citations
10.
Yan, Na, Meng Chen, Mingqi Wang, et al.. (2022). Antitumor Immunotherapy of Sialic Acid and/or GM1 Modified Coenzyme Q10 Submicron Emulsion. AAPS PharmSciTech. 23(8). 283–283.
11.
Song, Yanzhi, Zhennan She, Zhenjun Huang, et al.. (2021). Are third-generation active-targeting nanoformulations definitely the best? In vitro and in vivo comparisons of pixantrone-loaded liposomes modified with different sialic acid derivatives. Drug Delivery and Translational Research. 12(3). 647–661. 5 indexed citations
12.
Li, Cong, Qiujun Qiu, Min Liu, et al.. (2020). Sialic acid-conjugate modified liposomes targeting neutrophils for improved tumour therapy. Biomaterials Science. 8(8). 2189–2201. 44 indexed citations
13.
Zheng, Huangliang, Jiaqi Li, Mengjing Wang, et al.. (2019). Exhausting tumor associated macrophages with sialic acid-polyethyleneimine-cholesterol modified liposomal doxorubicin for enhancing sarcoma chemotherapy. International Journal of Pharmaceutics. 558. 187–200. 18 indexed citations
14.
Wang, Shuo, Xiaoxue Lai, Yihui Deng, & Yanzhi Song. (2019). Correlation between mouse age and human age in anti-tumor research: Significance and method establishment. Life Sciences. 242. 117242–117242. 142 indexed citations
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Su, Yuqing, Mengyang Liu, Yan Xiong, et al.. (2018). Effects of stability of PEGylated micelles on the accelerated blood clearance phenomenon. Drug Delivery and Translational Research. 9(1). 66–75. 22 indexed citations
17.
Zhou, Songlei, Ting Zhang, Bo Peng, et al.. (2017). Targeted delivery of epirubicin to tumor-associated macrophages by sialic acid-cholesterol conjugate modified liposomes with improved antitumor activity. International Journal of Pharmaceutics. 523(1). 203–216. 85 indexed citations
18.
Zhang, Ting, Songlei Zhou, Le Kang, et al.. (2016). The effect of monosialylganglioside mix modifying the PEGylated liposomal epirubicin on the accelerated blood clearance phenomenon. Asian Journal of Pharmaceutical Sciences. 12(2). 134–142. 12 indexed citations
19.
Song, Yanzhi, et al.. (2014). Self-assembled micelles of novel amphiphilic copolymer cholesterol-coupled F68 containing cabazitaxel as a drug delivery system. International Journal of Nanomedicine. 9. 2307–2307. 82 indexed citations
20.
Song, Yanzhi, et al.. (1994). Human papillomavirus infection and the risk for cervical cancer in Korea. KRIBB Repository. 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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