Feng-Jui Chen

866 total citations
36 papers, 627 citations indexed

About

Feng-Jui Chen is a scholar working on Infectious Diseases, Molecular Biology and Molecular Medicine. According to data from OpenAlex, Feng-Jui Chen has authored 36 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 16 papers in Molecular Biology and 11 papers in Molecular Medicine. Recurrent topics in Feng-Jui Chen's work include Antimicrobial Resistance in Staphylococcus (12 papers), Antibiotic Resistance in Bacteria (11 papers) and Bacterial Identification and Susceptibility Testing (10 papers). Feng-Jui Chen is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (12 papers), Antibiotic Resistance in Bacteria (11 papers) and Bacterial Identification and Susceptibility Testing (10 papers). Feng-Jui Chen collaborates with scholars based in Taiwan, Japan and Malaysia. Feng-Jui Chen's 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, Jui‐Fen Lai, Shu‐Chen Kuo and Monto Ho and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Clinical Microbiology.

In The Last Decade

Feng-Jui Chen

32 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng-Jui Chen Taiwan 16 289 284 228 160 131 36 627
Emily K. Crispell United States 13 313 1.1× 294 1.0× 193 0.8× 171 1.1× 185 1.4× 17 774
Rafael Ríos Colombia 15 142 0.5× 274 1.0× 279 1.2× 157 1.0× 110 0.8× 37 594
Vladislav Jakubů Czechia 15 227 0.8× 197 0.7× 420 1.8× 279 1.7× 140 1.1× 42 730
Ryan P. Lamers Canada 12 371 1.3× 217 0.8× 240 1.1× 57 0.4× 72 0.5× 14 674
Xiang Sun China 16 256 0.9× 217 0.8× 279 1.2× 92 0.6× 85 0.6× 23 579
Rebecca A. Hutton United States 9 129 0.4× 262 0.9× 292 1.3× 144 0.9× 99 0.8× 10 539
Matthias Steglich Germany 13 259 0.9× 221 0.8× 181 0.8× 71 0.4× 79 0.6× 22 546
Masato Higashide Japan 14 342 1.2× 388 1.4× 101 0.4× 118 0.7× 92 0.7× 22 689
Sara Christianson Canada 14 281 1.0× 292 1.0× 500 2.2× 101 0.6× 249 1.9× 21 936
Baixing Ding China 13 207 0.7× 170 0.6× 499 2.2× 125 0.8× 124 0.9× 26 676

Countries citing papers authored by Feng-Jui Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Feng-Jui Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Feng-Jui Chen. A scholar is included among the top collaborators of Feng-Jui 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 Feng-Jui Chen. Feng-Jui 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.
Wu, Han‐Chieh, Hung‐Wei Cheng, Shu‐Chen Kuo, et al.. (2025). Streamlining whole genome sequencing for clinical diagnostics with ONT technology. Scientific Reports. 15(1). 6270–6270. 4 indexed citations
2.
Dou, Horng-Yunn, Tsi-Shu Huang, Han‐Chieh Wu, et al.. (2025). Targeted sputum sequencing for rapid and broad drug resistance of Mycobacterium tuberculosis. Infection. 53(4). 1413–1423.
3.
Wu, Han‐Chieh, Nan Jiang, Shu‐Hsing Cheng, et al.. (2025). Multiplex metagenomic sequencing for rapid viral pathogen identification and surveillance in clinical specimens. BMC Infectious Diseases. 25(1). 1531–1531.
4.
Hsu, Chou‐Yi, Yu-Chieh Liao, Feng-Jui Chen, et al.. (2025). Expansion of a predominant azole-resistant Candida tropicalis genotype from 2012 to 2018: Evidence from orchard environments in Taiwan. Medical Mycology. 63(11).
5.
6.
Liao, Yu-Chieh, et al.. (2025). Prevalence, Clinical Characteristics, and Mortality Impact of Metallo-β-Lactamase-Producing Enterobacter Cloacae Complex Infections: A Retrospective Cohort Study. Journal of Global Antimicrobial Resistance. 45. 77–83. 1 indexed citations
7.
Chen, Feng-Jui, et al.. (2024). Clonal expansion of Tn1546-like transposon-carrying vancomycin-resistant Enterococcus faecium, a nationwide study in Taiwan, 2004-2018. Journal of Global Antimicrobial Resistance. 39. 100–108. 3 indexed citations
8.
Liao, Yu-Chieh, Feng‐Chi Chen, Feng-Jui Chen, et al.. (2024). Rapid identification of the predominant azole-resistant genotype in Candida tropicalis. FEMS Yeast Research. 24. 1 indexed citations
9.
Yang, Ya‐Sung, Tzu‐Wen Huang, Wei‐Cheng Huang, et al.. (2022). In vitro and in vivo efficacy of minocycline-based therapy for Elizabethkingia anophelis and the impact of reduced minocycline susceptibility. International Journal of Antimicrobial Agents. 60(5-6). 106678–106678. 9 indexed citations
10.
Liao, Yu-Chieh, Han‐Chieh Wu, Tsai-Ling Yang Lauderdale, et al.. (2022). Rapid and Routine Molecular Typing Using Multiplex Polymerase Chain Reaction and MinION Sequencer. Frontiers in Microbiology. 13. 875347–875347. 7 indexed citations
11.
Huang, Yu‐Shan, Wan‐Chen Tsai, Jiajie Li, et al.. (2021). Increasing New Delhi metallo-β-lactamase-positive Escherichia coli among carbapenem non-susceptible Enterobacteriaceae in Taiwan during 2016 to 2018. Scientific Reports. 11(1). 2609–2609. 18 indexed citations
12.
Chen, Feng-Jui, Tsai‐Ling Lauderdale, Wei‐Cheng Huang, et al.. (2020). Emergence of mcr-1, mcr-3 and mcr-8 in clinical Klebsiella pneumoniae isolates in Taiwan. Clinical Microbiology and Infection. 27(2). 305–307. 17 indexed citations
13.
Chen, Feng-Jui, et al.. (2020). Plasmid- and chromosome-located mcr-3 in mcr-1-positive Escherichia coli in Taiwan. International Journal of Antimicrobial Agents. 56(1). 105996–105996. 3 indexed citations
14.
Chen, Feng-Jui, et al.. (2018). Effect of a Point Mutation in mprF on Susceptibility to Daptomycin, Vancomycin, and Oxacillin in an MRSA Clinical Strain. Frontiers in Microbiology. 9. 1086–1086. 28 indexed citations
16.
Chen, Feng-Jui, I‐Wen Huang, Pei‐Chen Chen, et al.. (2012). mecA -Positive Staphylococcus aureus with Low-Level Oxacillin MIC in Taiwan. Journal of Clinical Microbiology. 50(5). 1679–1683. 52 indexed citations
18.
Chen, Feng-Jui, et al.. (2009). Ligand-receptor recognition for activation of quorum sensing in Staphylococcus aureus. The Journal of Microbiology. 47(5). 572–581. 12 indexed citations
19.
Lu, Po‐Liang, Hsiang‐Ting Hsu, Jiun-Han Chen, et al.. (2008). One Tube Multiplex PCR for Simple Screening of SCCmec I-V Types of Methicillin-ResistantStaphylococcus aureus. Journal of Chemotherapy. 20(6). 690–696. 6 indexed citations
20.
Chen, Feng-Jui, Tsai‐Ling Lauderdale, Monto Ho, & Hsiu‐Jung Lo. (2003). The Roles of Mutations in gyrA, parC , and ompK35 in Fluoroquinolone Resistance in Klebsiella pneumoniae. Microbial Drug Resistance. 9(3). 265–271. 24 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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