Ming-Yi Huang-Fu

471 total citations
8 papers, 398 citations indexed

About

Ming-Yi Huang-Fu is a scholar working on Molecular Biology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Ming-Yi Huang-Fu has authored 8 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Biomaterials and 4 papers in Biomedical Engineering. Recurrent topics in Ming-Yi Huang-Fu's work include RNA Interference and Gene Delivery (4 papers), Nanoparticle-Based Drug Delivery (3 papers) and Nanoplatforms for cancer theranostics (3 papers). Ming-Yi Huang-Fu is often cited by papers focused on RNA Interference and Gene Delivery (4 papers), Nanoparticle-Based Drug Delivery (3 papers) and Nanoplatforms for cancer theranostics (3 papers). Ming-Yi Huang-Fu collaborates with scholars based in China, Canada and Germany. Ming-Yi Huang-Fu's co-authors include Min Han, Jianqing Gao, Wenhong Xu, Ningning Guo, Wang-Wei Guo, Jiejian Chen, Qichun Wei, Mengting Lin, Zhentao Zhang and Huina Liu and has published in prestigious journals such as ACS Applied Materials & Interfaces, Acta Biomaterialia and International Journal of Pharmaceutics.

In The Last Decade

Ming-Yi Huang-Fu

8 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming-Yi Huang-Fu China 8 241 233 168 47 43 8 398
Wang-Wei Guo China 8 197 0.8× 192 0.8× 174 1.0× 41 0.9× 35 0.8× 10 350
Shuaishuai Feng China 7 244 1.0× 275 1.2× 208 1.2× 44 0.9× 54 1.3× 10 462
Endiries Yibru Hanurry Taiwan 14 239 1.0× 223 1.0× 133 0.8× 22 0.5× 52 1.2× 16 457
Tanner K. Hill United States 10 186 0.8× 261 1.1× 146 0.9× 51 1.1× 73 1.7× 11 516
Tefera Worku Mekonnen Taiwan 13 241 1.0× 219 0.9× 120 0.7× 20 0.4× 53 1.2× 15 441
Laurel T. Bate-Eya Netherlands 7 198 0.8× 164 0.7× 214 1.3× 43 0.9× 103 2.4× 8 471
Shi Du China 5 154 0.6× 204 0.9× 116 0.7× 27 0.6× 45 1.0× 7 307
Chenzi Li China 11 192 0.8× 311 1.3× 229 1.4× 32 0.7× 106 2.5× 16 505
Lucien Bildstein France 7 215 0.9× 156 0.7× 208 1.2× 24 0.5× 63 1.5× 8 462

Countries citing papers authored by Ming-Yi Huang-Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Yi Huang-Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Yi Huang-Fu. 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 Ming-Yi Huang-Fu. The network helps show where Ming-Yi Huang-Fu may publish in the future.

Co-authorship network of co-authors of Ming-Yi Huang-Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Yi Huang-Fu. A scholar is included among the top collaborators of Ming-Yi Huang-Fu 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 Ming-Yi Huang-Fu. Ming-Yi Huang-Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Zhang, Zhentao, Ming-Yi Huang-Fu, Wenhong Xu, & Min Han. (2019). Stimulus-responsive nanoscale delivery systems triggered by the enzymes in the tumor microenvironment. European Journal of Pharmaceutics and Biopharmaceutics. 137. 122–130. 60 indexed citations
2.
Guo, Wang-Wei, Ningning Guo, Ming-Yi Huang-Fu, et al.. (2018). Targeting tumor hypoxia with stimulus-responsive nanocarriers in overcoming drug resistance and monitoring anticancer efficacy. Acta Biomaterialia. 71. 351–362. 55 indexed citations
3.
Liu, Huina, Ningning Guo, Wang-Wei Guo, et al.. (2018). Delivery of mitochondriotropic doxorubicin derivatives using self-assembling hyaluronic acid nanocarriers in doxorubicin-resistant breast cancer. Acta Pharmacologica Sinica. 39(10). 1681–1692. 45 indexed citations
4.
Guo, Ningning, Tiantian Wang, Wang-Wei Guo, et al.. (2018). Mitochondrial Targeted Doxorubicin-Triphenylphosphonium Delivered by Hyaluronic Acid Modified and pH Responsive Nanocarriers to Breast Tumor: in Vitro and in Vivo Studies. Molecular Pharmaceutics. 15(3). 882–891. 60 indexed citations
5.
Han, Min, Ming-Yi Huang-Fu, Wang-Wei Guo, et al.. (2017). MMP-2-Sensitive HA End-Conjugated Poly(amidoamine) Dendrimers via Click Reaction To Enhance Drug Penetration into Solid Tumor. ACS Applied Materials & Interfaces. 9(49). 42459–42470. 100 indexed citations
6.
Huang-Fu, Ming-Yi, et al.. (2016). Fabrication and characterization of drug-loaded nano-hydroxyapatite/polyamide 66 scaffolds modified with carbon nanotubes and silk fibroin. International Journal of Nanomedicine. Volume 11. 6181–6194. 32 indexed citations
7.
Wang, Meng, Ying Li, Ming-Yi Huang-Fu, et al.. (2016). Pluronic-Attached Polyamidoamine Dendrimer Conjugates Overcome Drug Resistance in Breast Cancer. Nanomedicine. 11(22). 2917–2934. 33 indexed citations
8.
Li, Liming, Ming-Yi Huang-Fu, Zhilan Chen, et al.. (2015). ScreenFect A: an efficient and low toxic liposome for gene delivery to mesenchymal stem cells. International Journal of Pharmaceutics. 488(1-2). 1–11. 13 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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