Feng-Jui Chen
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Infections and bacterial resistance
Papers in
-
- Antimicrobial Resistance in Staphylococcus 12
- Antifungal resistance and susceptibility 3
-
- Bacterial biofilms and quorum sensing 7
- Co-authors
- Hsiu‐Jung Lo (7 shared papers)Tsai‐Ling Lauderdale (10 shared papers)I‐Wen Huang (8 shared papers)Po‐Liang Lu (4 shared papers)Tsai-Ling Yang Lauderdale (5 shared papers)Yu-Chieh Liao (17 shared papers)Yih‐Ru Shiau (4 shared papers)Shu‐Chen Kuo (10 shared papers)
In The Last Decade
Feng-Jui Chen
34 papers receiving 630 citations
Peers
Comparison fields: 5 of 55
- Molecular Medicine 205
- Endocrinology 95
- Clinical Biochemistry 117
- Infectious Diseases 281
- Applied Microbiology and Biotechnology 17
Countries citing papers authored by Feng-Jui Chen
This map shows the geographic impact of Feng-Jui 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 Feng-Jui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng-Jui Chen more than expected).
Fields of papers citing papers by Feng-Jui Chen
This network shows the impact of papers produced by Feng-Jui 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 Feng-Jui Chen. The network helps show where Feng-Jui Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng-Jui 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 85 | |
| 2 | Molecular mechanisms of fluoroquinolone resistance. | 2003 | 54 |
| 3 | 2012 | 53 | |
| 4 | 2005 | 46 | |
| 5 | 2012 | 40 | |
| 6 | 2019 | 30 | |
| 7 | 2018 | 29 | |
| 8 | 2009 | 27 | |
| 9 | 2012 | 27 | |
| 10 | 2020 | 25 | |
| 11 | 2003 | 25 | |
| 12 | 2013 | 25 | |
| 13 | 2019 | 24 | |
| 14 | 2020 | 23 | |
| 15 | 2021 | 18 | |
| 16 | 2020 | 17 | |
| 17 | 2013 | 14 | |
| 18 | 2020 | 14 | |
| 19 | 2009 | 12 | |
| 20 | 2024 | 9 |
About Feng-Jui Chen
Feng-Jui Chen is a scholar working on Infectious Diseases, Molecular Biology, Molecular Medicine, Clinical Biochemistry and Epidemiology, having authored 36 papers that have together received 652 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (12 papers), Antibiotic Resistance in Bacteria (10 papers), Bacterial Identification and Susceptibility Testing (8 papers), Bacterial biofilms and quorum sensing (7 papers), Bacteriophages and microbial interactions (5 papers), Antifungal resistance and susceptibility (3 papers), Fungal Infections and Studies (3 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). The work is most often cited by research in Molecular Medicine (205 citations), Endocrinology (95 citations), Clinical Biochemistry (117 citations), Infectious Diseases (281 citations) and Applied Microbiology and Biotechnology (17 citations). Feng-Jui Chen has collaborated with scholars based in Taiwan, Japan and Malaysia. Frequent co-authors include Hsiu‐Jung Lo, Tsai‐Ling Lauderdale, I‐Wen Huang, Po‐Liang Lu, Tsai-Ling Yang Lauderdale, Yu-Chieh Liao, Yih‐Ru Shiau, Shu‐Chen Kuo, Jui‐Fen Lai and Han‐Chieh Wu. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Frontiers in Microbiology, International Journal of Antimicrobial Agents, Microbial Genomics and Microbiology Spectrum.
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.