Fang-Yu Chen
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
Papers in
-
- Lipid Membrane Structure and Behavior 9
- Biochemical and Structural Characterization 4
-
- Antimicrobial Peptides and Activities 6
- Co-authors
- Huey W. Huang (11 shared papers)Ming-Tao Lee (9 shared papers)Wei‐Chin Hung (7 shared papers)Chang‐Chun Lee (4 shared papers)Yen Sun (4 shared papers)Ming‐Yi Shen (6 shared papers)Chu‐Huang Chen (4 shared papers)Kuo-Feng Tseng (3 shared papers)
- Journals
- Biophysical Journal (8 papers)Antioxidants (2 papers)Journal of Clinical Medicine (2 papers)Atherosclerosis (1 paper)Biomedicines (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Fang-Yu Chen
29 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 109
- Microbiology 812
- Molecular Medicine 121
- Molecular Biology 1.6k
- Pharmaceutical Science 94
- Biomaterials 171
Countries citing papers authored by Fang-Yu Chen
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
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-authors
The 25 scholars most cited alongside Fang-Yu Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 362 | |
| 2 | 2004 | 284 | |
| 3 | 2003 | 243 | |
| 4 | 2008 | 241 | |
| 5 | 2004 | 241 | |
| 6 | 2002 | 142 | |
| 7 | 2005 | 122 | |
| 8 | 2008 | 121 | |
| 9 | 2009 | 106 | |
| 10 | 2008 | 90 | |
| 11 | 2022 | 31 | |
| 12 | 2012 | 28 | |
| 13 | 2014 | 24 | |
| 14 | 2021 | 18 | |
| 15 | 2020 | 15 | |
| 16 | 2019 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2023 | 10 |
About Fang-Yu Chen
Fang-Yu Chen is a scholar working on Molecular Biology, Microbiology, Immunology, Organic Chemistry and Surgery, having authored 29 papers that have together received 2.2k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (9 papers), Antimicrobial Peptides and Activities (6 papers), Biochemical and Structural Characterization (4 papers), Surfactants and Colloidal Systems (2 papers), Sesame and Sesamin Research (2 papers), Advancements in Transdermal Drug Delivery (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). The work is most often cited by research in Microbiology (812 citations), Molecular Medicine (121 citations), Molecular Biology (1.6k citations), Pharmaceutical Science (94 citations) and Biomaterials (171 citations). Fang-Yu Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Huey W. Huang, Ming-Tao Lee, Wei‐Chin Hung, Chang‐Chun Lee, Yen Sun, Ming‐Yi Shen, Chu‐Huang Chen, Kuo-Feng Tseng, Zhongya Wei and Yayu Zhao. Their work appears in journals such as Biophysical Journal, Antioxidants, Journal of Clinical Medicine, Atherosclerosis and Biomedicines.
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.