Fang-Yu Chen

2.5k total citations
29 papers, 2.1k citations indexed

About

Fang-Yu Chen is a scholar working on Molecular Biology, Microbiology and Immunology. According to data from OpenAlex, Fang-Yu Chen has authored 29 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Microbiology and 5 papers in Immunology. Recurrent topics in Fang-Yu Chen's work include Lipid Membrane Structure and Behavior (9 papers), Antimicrobial Peptides and Activities (6 papers) and Lipoproteins and Cardiovascular Health (4 papers). Fang-Yu Chen is often cited by papers focused on Lipid Membrane Structure and Behavior (9 papers), Antimicrobial Peptides and Activities (6 papers) and Lipoproteins and Cardiovascular Health (4 papers). Fang-Yu Chen collaborates with scholars based in Taiwan, United States and China. Fang-Yu Chen's co-authors include Huey W. Huang, Ming-Tao Lee, Wei‐Chin Hung, Yen Sun, Chang‐Chun Lee, Ming‐Yi Shen, Chu‐Huang Chen, Kuo-Feng Tseng, Chia‐Ming Chang and Wen‐Chin Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of the American College of Cardiology.

In The Last Decade

Fang-Yu Chen

29 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang-Yu Chen Taiwan 15 1.7k 825 217 202 174 29 2.1k
Sarah R. Dennison United Kingdom 30 1.9k 1.1× 1.5k 1.9× 250 1.2× 378 1.9× 139 0.8× 92 2.7k
Diana Gaspar Portugal 20 1.5k 0.9× 1.0k 1.2× 305 1.4× 235 1.2× 273 1.6× 32 2.0k
Dagmar Zweytick Austria 19 1.9k 1.1× 767 0.9× 173 0.8× 263 1.3× 84 0.5× 37 2.4k
Anirban Ghosh India 24 724 0.4× 329 0.4× 104 0.5× 106 0.5× 108 0.6× 48 1.3k
Chérine Bechara France 17 1.5k 0.9× 247 0.3× 95 0.4× 151 0.7× 152 0.9× 31 1.9k
Mark Okon Canada 26 1.4k 0.8× 155 0.2× 211 1.0× 112 0.6× 66 0.4× 55 1.9k
Tam T. T. Bui United Kingdom 24 857 0.5× 223 0.3× 196 0.9× 94 0.5× 163 0.9× 58 1.5k
Peng Teng China 31 1.4k 0.8× 570 0.7× 964 4.4× 121 0.6× 179 1.0× 115 2.5k
Paul Meers United States 24 1.2k 0.7× 111 0.1× 103 0.5× 118 0.6× 259 1.5× 36 1.8k
Sajith Jayasinghe United States 16 1.9k 1.1× 333 0.4× 75 0.3× 99 0.5× 216 1.2× 19 2.4k

Countries citing papers authored by Fang-Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fang-Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang-Yu Chen. 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 Fang-Yu Chen. The network helps show where Fang-Yu Chen may publish in the future.

Co-authorship network of co-authors of Fang-Yu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Fang-Yu Chen. A scholar is included among the top collaborators of Fang-Yu Chen 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 Fang-Yu Chen. Fang-Yu Chen 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.
Ji, Yu, Zhihao Lin, Qian Wang, et al.. (2025). Inhibition of Macrophage Activation by Minocycline Attenuates CCI-Induced Neuropathic Pain. Inflammation. 48(6). 3912–3926. 1 indexed citations
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Huang, Li-Ying, Fang-Yu Chen, Chun‐Heng Kuo, et al.. (2022). Comparing Multiple Linear Regression and Machine Learning in Predicting Diabetic Urine Albumin–Creatinine Ratio in a 4-Year Follow-Up Study. Journal of Clinical Medicine. 11(13). 3661–3661. 11 indexed citations
6.
Wang, Qian, Fang-Yu Chen, Wenfeng Su, et al.. (2022). The Effect of Schwann Cells/Schwann Cell-Like Cells on Cell Therapy for Peripheral Neuropathy. Frontiers in Cellular Neuroscience. 16. 836931–836931. 30 indexed citations
7.
Yang, Lixuan, Fang-Yu Chen, Hailong Yu, et al.. (2020). Poncirin suppresses lipopolysaccharide (LPS)-induced microglial inflammation and ameliorates brain ischemic injury in experimental stroke in mice. Annals of Translational Medicine. 8(21). 1344–1344. 14 indexed citations
8.
Chang, Chiz‐Tzung, Ming‐Yi Shen, Ju‐Yi Hsieh, et al.. (2018). Increased electronegativity of high-density lipoprotein in uremia patients impairs its functional properties and is associated with the risk of coronary artery disease. Atherosclerosis. 278. 147–155. 8 indexed citations
9.
Hsu, Jing‐Fang, Tzu‐Chieh Chou, Jonathan Lu, et al.. (2014). Low-Density Lipoprotein Electronegativity Is a Novel Cardiometabolic Risk Factor. PLoS ONE. 9(9). e107340–e107340. 24 indexed citations
10.
Lee, An‐Sheng, Jenny Wang, Hua‐Chen Chan, et al.. (2012). ELECTRONEGATIVE LOW-DENSITY LIPOPROTEIN INDUCES CARDIOMYOCYTE APOPTOSIS THROUGH A CHEMOKINE-CYTOKINE CROSSTALK MECHANISM. Journal of the American College of Cardiology. 59(13). E1000–E1000. 1 indexed citations
11.
Lee, An‐Sheng, Guei‐Jane Wang, Hua‐Chen Chan, et al.. (2012). Electronegative low-density lipoprotein induces cardiomyocyte apoptosis indirectly through endothelial cell-released chemokines. APOPTOSIS. 17(9). 1009–1018. 28 indexed citations
12.
Sun, Yen, Wei‐Chin Hung, Fang-Yu Chen, Chang‐Chun Lee, & Huey W. Huang. (2009). Interaction of Tea Catechin (−)-Epigallocatechin Gallate with Lipid Bilayers. Biophysical Journal. 96(3). 452a–452a. 1 indexed citations
13.
Sun, Yen, Wei‐Chin Hung, Fang-Yu Chen, Chang‐Chun Lee, & Huey W. Huang. (2009). Interaction of Tea Catechin (—)-Epigallocatechin Gallate with Lipid Bilayers. Biophysical Journal. 96(3). 1026–1035. 105 indexed citations
14.
Sun, Yen, Chang‐Chun Lee, Wei‐Chin Hung, et al.. (2008). The Bound States of Amphipathic Drugs in Lipid Bilayers: Study of Curcumin. Biophysical Journal. 95(5). 2318–2324. 90 indexed citations
15.
Hung, Wei‐Chin, Fang-Yu Chen, Chang‐Chun Lee, et al.. (2008). Membrane-Thinning Effect of Curcumin. Biophysical Journal. 94(11). 4331–4338. 121 indexed citations
16.
Hung, Wei‐Chin, Ming-Tao Lee, Fang-Yu Chen, & Huey W. Huang. (2007). The Condensing Effect of Cholesterol in Lipid Bilayers. Biophysical Journal. 92(11). 3960–3967. 357 indexed citations
17.
Lee, Ming-Tao, Wei‐Chin Hung, Fang-Yu Chen, & Huey W. Huang. (2005). Many-Body Effect of Antimicrobial Peptides: On the Correlation Between Lipid’s Spontaneous Curvature and Pore Formation. Biophysical Journal. 89(6). 4006–4016. 122 indexed citations
18.
Huang, Huey W., Fang-Yu Chen, & Ming-Tao Lee. (2004). Molecular Mechanism of Peptide-Induced Pores in Membranes. Physical Review Letters. 92(19). 198304–198304. 283 indexed citations
19.
Chen, Fang-Yu, Ming-Tao Lee, & Huey W. Huang. (2003). Evidence for Membrane Thinning Effect as the Mechanism for Peptide-Induced Pore Formation. Biophysical Journal. 84(6). 3751–3758. 240 indexed citations
20.
Chen, Fang-Yu, Ming-Tao Lee, & Huey W. Huang. (2002). Sigmoidal Concentration Dependence of Antimicrobial Peptide Activities: A Case Study on Alamethicin. Biophysical Journal. 82(2). 908–914. 142 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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