Feng-Jui Chen
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus
- Antifungal resistance and susceptibility
Papers in
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- Antibiotic Resistance in Bacteria 14
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- Antimicrobial Resistance in Staphylococcus 13
- Antifungal resistance and susceptibility 5
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Tsai-Ling Yang Lauderdale (19 shared papers)Hsiu‐Jung Lo (9 shared papers)I‐Wen Huang (9 shared papers)Yu-Chieh Liao (18 shared papers)Po‐Liang Lu (4 shared papers)Han‐Chieh Wu (14 shared papers)Shu‐Chen Kuo (10 shared papers)Yih‐Ru Shiau (4 shared papers)
In The Last Decade
Feng-Jui Chen
40 papers receiving 725 citations
Peers
Comparison fields: 5 of 40
- Molecular Medicine 247
- Infectious Diseases 350
- Applied Microbiology and Biotechnology 24
- Endocrinology 39
- Clinical Biochemistry 34
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 87 | |
| 2 | 2012 | 56 | |
| 3 | Molecular mechanisms of fluoroquinolone resistance. | 2003 | 52 |
| 4 | 2005 | 48 | |
| 5 | 2012 | 41 | |
| 6 | 2012 | 31 | |
| 7 | 2018 | 30 | |
| 8 | 2019 | 30 | |
| 9 | 2009 | 28 | |
| 10 | 2010 | 28 | |
| 11 | 2020 | 28 | |
| 12 | 2013 | 27 | |
| 13 | 2020 | 27 | |
| 14 | 2003 | 26 | |
| 15 | 2019 | 26 | |
| 16 | 2021 | 20 | |
| 17 | 2020 | 18 | |
| 18 | 2013 | 14 | |
| 19 | 2020 | 14 | |
| 20 | 2024 | 14 |
About Feng-Jui Chen
Feng-Jui Chen is a scholar working on Molecular Medicine, Infectious Diseases, Clinical Biochemistry, Endocrinology and Molecular Biology, having authored 41 papers that have together received 750 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Genomics and Phylogenetic Studies (7 papers), Antifungal resistance and susceptibility (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Infections and bacterial resistance (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Bacterial biofilms and quorum sensing (1 paper). The work is most often cited by research in Molecular Medicine (247 citations), Infectious Diseases (350 citations), Applied Microbiology and Biotechnology (24 citations), Endocrinology (39 citations) and Clinical Biochemistry (34 citations). Feng-Jui Chen has collaborated with scholars based in Taiwan, Japan and Malaysia. Frequent co-authors include Tsai-Ling Yang Lauderdale, Hsiu‐Jung Lo, I‐Wen Huang, Yu-Chieh Liao, Po‐Liang Lu, Han‐Chieh Wu, Shu‐Chen Kuo, Yih‐Ru Shiau, Jui‐Fen Lai and Monto Ho. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Frontiers in Microbiology, Microbiology Spectrum, International Journal of Antimicrobial Agents and Journal of Antimicrobial Chemotherapy.
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.