Yung‐Chih Kuo

4.8k total citations
182 papers, 4.0k citations indexed

About

Yung‐Chih Kuo is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Yung‐Chih Kuo has authored 182 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 52 papers in Biomedical Engineering and 49 papers in Biomaterials. Recurrent topics in Yung‐Chih Kuo's work include Electrostatics and Colloid Interactions (45 papers), RNA Interference and Gene Delivery (39 papers) and Lipid Membrane Structure and Behavior (38 papers). Yung‐Chih Kuo is often cited by papers focused on Electrostatics and Colloid Interactions (45 papers), RNA Interference and Gene Delivery (39 papers) and Lipid Membrane Structure and Behavior (38 papers). Yung‐Chih Kuo collaborates with scholars based in Taiwan, India and Ethiopia. Yung‐Chih Kuo's co-authors include Rajendiran Rajesh, Jyh‐Ping Hsu, Chiu‐Yen Chung, Jen‐Tsung Yang, Chia‐Hao Lee, Chih‐Yu Lin, I-Chun Chen, Ta‐Wei Lin, Che-Yu Lin and Shiojenn Tseng and has published in prestigious journals such as The Journal of Chemical Physics, Biomaterials and The Journal of Physical Chemistry B.

In The Last Decade

Yung‐Chih Kuo

181 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yung‐Chih Kuo Taiwan 37 1.6k 1.5k 1.2k 920 344 182 4.0k
Davide Moscatelli Italy 34 684 0.4× 1.5k 1.0× 1.0k 0.8× 246 0.3× 159 0.5× 170 4.1k
Barbara Ruozi Italy 35 1.7k 1.1× 1.9k 1.2× 1.0k 0.8× 1.1k 1.2× 21 0.1× 127 4.3k
Paola Luciani Switzerland 37 1.4k 0.9× 411 0.3× 441 0.4× 255 0.3× 43 0.1× 128 3.9k
Hélène Chacun France 27 824 0.5× 1.0k 0.7× 526 0.4× 543 0.6× 27 0.1× 50 2.4k
Svetlana Gelperina Russia 31 1.6k 1.0× 2.9k 1.9× 1.5k 1.2× 1.4k 1.6× 17 0.0× 85 5.0k
Igor Lacı́k Slovakia 42 733 0.5× 1.0k 0.7× 1.3k 1.1× 262 0.3× 493 1.4× 143 5.3k
Noah Lotan Israel 22 911 0.6× 655 0.4× 428 0.3× 611 0.7× 39 0.1× 66 2.6k
Agnese Magnani Italy 35 579 0.4× 680 0.4× 620 0.5× 179 0.2× 60 0.2× 168 3.6k
Peng Zhang China 42 1.4k 0.9× 1.1k 0.7× 2.0k 1.6× 1.3k 1.4× 22 0.1× 219 5.5k
Hans Bäumler Germany 32 758 0.5× 734 0.5× 833 0.7× 169 0.2× 87 0.3× 99 3.7k

Countries citing papers authored by Yung‐Chih Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Yung‐Chih Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung‐Chih Kuo. 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 Yung‐Chih Kuo. The network helps show where Yung‐Chih Kuo may publish in the future.

Co-authorship network of co-authors of Yung‐Chih Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Chih Kuo. A scholar is included among the top collaborators of Yung‐Chih Kuo 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 Yung‐Chih Kuo. Yung‐Chih Kuo 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.
Kuo, Yung‐Chih, et al.. (2025). Etoposide-loaded lipopolymer nanoparticles promote Smac minetic activity against inhibitor of apoptosis protein for glioblastoma treatment. Biomaterials Advances. 170. 214185–214185. 1 indexed citations
2.
De, Sourav & Yung‐Chih Kuo. (2024). Nanocarriers to mediate the pathways from diabetes toward Parkinson's disease. Journal of the Taiwan Institute of Chemical Engineers. 157. 105401–105401. 3 indexed citations
3.
4.
De, Sourav, Priyankar Paira, S.K. Ashok Kumar, et al.. (2022). In vitro studies on the selective cytotoxic effect of luminescent Ru(ii)-p-cymene complexes of imidazo-pyridine and imidazo quinoline ligands. Dalton Transactions. 51(45). 17263–17276. 24 indexed citations
5.
Kuo, Yung‐Chih, et al.. (2021). Rabies virus glycoprotein- and transferrin-functionalized liposomes to elevate epigallocatechin gallate and FK506 activity and mediate MAPK against neuronal apoptosis in Parkinson's disease. Journal of the Taiwan Institute of Chemical Engineers. 132. 104142–104142. 4 indexed citations
6.
Kuo, Yung‐Chih, et al.. (2020). Dual functional liposomes carrying antioxidants against tau hyperphosphorylation and apoptosis of neurons. Journal of drug targeting. 28(9). 949–960. 14 indexed citations
7.
Kuo, Yung‐Chih & Rajendiran Rajesh. (2020). Particulate systems for improving therapeutic efficacy of pharmaceuticals against central nervous system-related diseases. Journal of the Taiwan Institute of Chemical Engineers. 114. 12–23. 13 indexed citations
8.
9.
10.
Kuo, Yung‐Chih, et al.. (2016). Rescuing cholinergic neurons from apoptotic degeneration by targeting of serotonin modulator- and apolipoprotein E-conjugated liposomes to the hippocampus. International Journal of Nanomedicine. Volume 11. 6809–6824. 16 indexed citations
11.
Kuo, Yung‐Chih, et al.. (2014). Neuroprotection Against Degeneration of SK-N-MC Cells Using Neuron Growth Factor-Encapsulated Liposomes with Surface Cereport and Transferrin. Journal of Pharmaceutical Sciences. 103(8). 2484–2497. 37 indexed citations
12.
Hsu, Jyh‐Ping, et al.. (2011). Solving EDL configuration near a dissimilarly charged protrusions surface model using perturbation method. Colloids and Surfaces B Biointerfaces. 86(2). 370–377.
13.
Lyu, Shaw‐Ruey, et al.. (2011). Application of albumin-grafted scaffolds to promote neocartilage formation. Colloids and Surfaces B Biointerfaces. 91. 296–301. 8 indexed citations
14.
Kuo, Yung‐Chih, et al.. (2011). Expression of P-glycoprotein and multidrug resistance-associated protein on human brain-microvascular endothelial cells with electromagnetic stimulation. Colloids and Surfaces B Biointerfaces. 91. 57–62. 18 indexed citations
15.
Kuo, Yung‐Chih & Chiu‐Yen Chung. (2005). Transport of Zidovudine-and Lamivudine-Loaded Polybutylcyanoacrylate and Methylmethacrylate-Sulfopropylmethacrylate Nanoparticles across the In Vitro Blood-Brain Barrier: Characteristics of the Drug-D. Journal of The Chinese Institute of Chemical Engineers. 36(6). 627–638. 18 indexed citations
16.
Kuo, Yung‐Chih. (2005). Deposition of cation-absorptive biocolloids onto a charged surface. Journal of Colloid and Interface Science. 288(1). 36–44. 4 indexed citations
17.
Kuo, Yung‐Chih. (2004). Effect of non‐instantaneous disposition on the general measures of distribution kinetics in a modified mammillary compartmental model. Journal of the Chinese Institute of Engineers. 27(2). 231–242. 1 indexed citations
18.
Kuo, Yung‐Chih. (2003). Adsorption of a Biocolloid onto a Rigid Charged Surface: Characteristics of Functional Group, Membrane and Electrolytic Solution. Journal of The Chinese Institute of Chemical Engineers. 34(2). 177–186. 1 indexed citations
19.
Kuo, Yung‐Chih & Yu‐Wen Chen. (2000). Isopropyl Alcohol Dehydration over Chrominophosphate Catalysts-II. Deactivation. Journal of The Chinese Institute of Chemical Engineers. 31(1). 1–9. 3 indexed citations
20.
Hsu, Jyh‐Ping & Yung‐Chih Kuo. (1993). Approximate analytical expressions for the properties of an electrical double layer with asymmetric electrolytes. Journal of the Chemical Society Faraday Transactions. 89(8). 1229–1229. 12 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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