Haiyun Song

4.6k total citations · 1 hit paper
83 papers, 3.8k citations indexed

About

Haiyun Song is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Haiyun Song has authored 83 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 19 papers in Biomedical Engineering and 14 papers in Materials Chemistry. Recurrent topics in Haiyun Song's work include Advanced biosensing and bioanalysis techniques (17 papers), RNA Interference and Gene Delivery (13 papers) and Nanoplatforms for cancer theranostics (13 papers). Haiyun Song is often cited by papers focused on Advanced biosensing and bioanalysis techniques (17 papers), RNA Interference and Gene Delivery (13 papers) and Nanoplatforms for cancer theranostics (13 papers). Haiyun Song collaborates with scholars based in China, United States and United Kingdom. Haiyun Song's co-authors include Chunhai Fan, Nan Chen, Hui Wang, Lihua Wang, Jingquan Li, Peizhan Chen, Ruiai Chu, Jiang Li, Dong Xie and Xiaoguang Li and has published in prestigious journals such as Cell, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Haiyun Song

82 papers receiving 3.8k citations

Hit Papers

Targeting of tumour-infiltrating macrophages via CCL2/CCR... 2015 2026 2018 2022 2015 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
Haiyun Song China 33 2.0k 1.0k 726 720 420 83 3.8k
Haruhiko Kamada Japan 38 1.6k 0.8× 570 0.6× 670 0.9× 756 1.1× 413 1.0× 140 3.8k
Zhihao Wu China 30 1.6k 0.8× 1.1k 1.1× 400 0.6× 367 0.5× 391 0.9× 101 3.5k
Yamin Li China 34 2.7k 1.4× 865 0.9× 545 0.8× 445 0.6× 298 0.7× 84 4.5k
Xiaoli Wu China 39 1.7k 0.9× 1.4k 1.4× 907 1.2× 421 0.6× 604 1.4× 126 4.3k
Jian Liu China 36 1.3k 0.7× 497 0.5× 374 0.5× 408 0.6× 533 1.3× 195 3.4k
Min Gao China 31 2.3k 1.2× 672 0.7× 542 0.7× 625 0.9× 481 1.1× 142 4.2k
Jia Lv China 34 2.0k 1.0× 727 0.7× 533 0.7× 472 0.7× 342 0.8× 78 3.6k
Lan Yuan China 34 1.5k 0.7× 781 0.8× 380 0.5× 365 0.5× 417 1.0× 111 3.6k

Countries citing papers authored by Haiyun Song

Since Specialization
Citations

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

Fields of papers citing papers by Haiyun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyun Song. A scholar is included among the top collaborators of Haiyun 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 Haiyun Song. Haiyun 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
1.
Yu, Qian, Ke Jiang, Siyu Ma, et al.. (2025). Elesclomol-copper combination synergistically targets mitochondrial metabolism in cancer stem cells to overcome chemoresistance in PDAC. Molecular Therapy. 33(12). 6160–6177. 2 indexed citations
2.
Wang, Han, Changjie Liu, Haiyun Song, et al.. (2024). Online water vapor removal membrane inlet mass spectrometer for high-sensitivity detection of dissolved methane. Talanta. 273. 125907–125907. 1 indexed citations
3.
Zhou, Yanfeng, et al.. (2024). Unzippable Siamese Nanoparticles for Programmed Two‐Stage Cancer Immunotherapy. Advanced Materials. 36(31). e2402456–e2402456. 4 indexed citations
4.
Liang, Huan, et al.. (2024). Dismantlable Coronated Nanoparticles for Coupling the Induction and Perception of Immunogenic Cell Death. Advanced Materials. 36(27). e2313097–e2313097. 19 indexed citations
5.
Sun, Zhi, et al.. (2024). NKAIN1, as an oncogene, promotes the proliferation and metastasis of breast cancer, affecting its prognosis. Molecular Carcinogenesis. 63(7). 1392–1405.
6.
Dong, Ke, Hailu Zhang, Xiuyuan Zhang, et al.. (2024). ZNF8 Orchestrates with Smad3 to Promote Lung Metastasis by Recruiting SMYD3 in Breast Cancer. Advanced Science. 11(40). e2404904–e2404904. 2 indexed citations
7.
Ji, Xiaoyuan, Yanfeng Zhou, Daoxia Guo, et al.. (2023). Slimming and Reinvigorating Tumor‐Associated Dendritic Cells with Hierarchical Lipid Rewiring Nanoparticles. Advanced Materials. 35(30). e2211415–e2211415. 26 indexed citations
8.
Chen, Qian, Fei Ding, Qian Li, et al.. (2021). Sequential Therapy of Acute Kidney Injury with a DNA Nanodevice. Nano Letters. 21(10). 4394–4402. 80 indexed citations
9.
Ji, Xiaoyuan, Daoxia Guo, Yun Yu, et al.. (2021). Epigenetic Remodeling Hydrogel Patches for Multidrug‐Resistant Triple‐Negative Breast Cancer. Advanced Materials. 33(18). e2100949–e2100949. 75 indexed citations
10.
Zhou, Yanfeng, Xiaoyuan Ji, Hui Xie, et al.. (2021). Nanobooster-encapsulated hybrid RNA as anti-tumor viral mimicry. Nano Today. 38. 101211–101211. 15 indexed citations
11.
Cheng, Yan, Jingqi Liu, Ying Sun, et al.. (2019). IRE1 promotes neurodegeneration through autophagy-dependent neuron death in the Drosophila model of Parkinson’s disease. Cell Death and Disease. 10(11). 150–150. 52 indexed citations
12.
Ma, Zhiwei, Ping Li, Xingjie Hu, & Haiyun Song. (2018). Polarity protein Canoe mediates overproliferation via modulation of JNK, Ras‐MAPK and Hippo signalling. Cell Proliferation. 52(1). e12529–e12529. 8 indexed citations
13.
Li, Xiaoguang, Qian Ba, Yanling Liu, et al.. (2017). Dihydroartemisinin selectively inhibits PDGFRα-positive ovarian cancer growth and metastasis through inducing degradation of PDGFRα protein. Cell Discovery. 3(1). 50 indexed citations
14.
Wang, Zejun, Yao Fu, Zhengzhong Kang, et al.. (2017). Organelle-Specific Triggered Release of Immunostimulatory Oligonucleotides from Intrinsically Coordinated DNA–Metal–Organic Frameworks with Soluble Exoskeleton. Journal of the American Chemical Society. 139(44). 15784–15791. 220 indexed citations
15.
Li, Ping, Nan Chen, Yiguo Jiang, et al.. (2017). Titanium Dioxide Nanoparticles Trigger Non-Canonical Receptor Endocytosis to Inhibit Wnt Signaling. Journal of Biomedical Nanotechnology. 13(11). 1522–1532. 6 indexed citations
16.
Li, Xiaojiao, Li Sun, Ping Huang, et al.. (2016). Regulation of Hippo signalling by p38 signalling. Journal of Molecular Cell Biology. 8(4). 328–337. 37 indexed citations
17.
Chen, Peizhan, Xiaohua Duan, Mian Li, et al.. (2016). Systematic network assessment of the carcinogenic activities of cadmium. Toxicology and Applied Pharmacology. 310. 150–158. 32 indexed citations
18.
Chen, Nan, Hui Wang, Qing Huang, et al.. (2014). Long‐Term Effects of Nanoparticles on Nutrition and Metabolism. Small. 10(18). 3603–3611. 57 indexed citations
19.
Björklund, Mikael, Johannes Bischof, Rongxia Li, et al.. (2013). Systematic Screening of a Drosophila ORF Library In Vivo Uncovers Wnt/Wg Pathway Components. Developmental Cell. 25(2). 207–219. 37 indexed citations
20.
Song, Haiyun, et al.. (2010). Coop functions as a corepressor of Pangolin and antagonizes Wingless signaling. Genes & Development. 24(9). 881–886. 15 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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