Feng-Jui Chen

866 citations
36 papers · 627 · h-index 16

Impact in

Papers in

Feng-Jui Chen

32 papers receiving 606 citations

Peers

Feng-Jui Chen
Comparison fields: 5 of 53
  • Molecular Medicine 228
  • Clinical Biochemistry 160
  • Endocrinology 100
  • Infectious Diseases 284
  • Applied Microbiology and Biotechnology 29
Replace Rafael Ríos with:
Rafael Ríos Colombia
Jung Sik Yoo South Korea
Rita Moure Spain
Jae Il Yoo South Korea
Xiang Sun China
Akio Kuga Japan
Rebecca A. Hutton United States
Matthias Steglich Germany
Emily K. Crispell United States
Vladislav Jakubů Czechia
Feng-Jui Chen relative to Rafael Ríos Colombia Rafael Ríos's profile →
Citations per field
00.5×
Rafael Ríos · 1×
Citations per year

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-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.

Border = papers with Feng-Jui Chen Line = papers co-authored together Feng-Jui Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200180
2 201252
3
Molecular mechanisms of fluoroquinolone resistance.
200352
4 200546
5 201239
6 201930
7 201828
8 200927
9 201227
10 202025
11 200324
12 201924
13 201324
14 202022
15 202118
16 202017
17 201314
18 202014
19 200912
20 20229

About Feng-Jui Chen

Feng-Jui Chen is a scholar working on Infectious Diseases, Molecular Biology, Molecular Medicine, Epidemiology and Clinical Biochemistry, having authored 36 papers that have together received 627 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (12 papers), Antibiotic Resistance in Bacteria (11 papers), Bacterial biofilms and quorum sensing (10 papers), Bacterial Identification and Susceptibility Testing (10 papers), Bacteriophages and microbial interactions (5 papers), Genomics and Phylogenetic Studies (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). The work is most often cited by research in Molecular Medicine (228 citations), Clinical Biochemistry (160 citations), Endocrinology (100 citations), Infectious Diseases (284 citations) and Applied Microbiology and Biotechnology (29 citations). Feng-Jui Chen has collaborated with scholars based in Taiwan, Japan and South Korea. Frequent co-authors include Hsiu‐Jung Lo, Tsai‐Ling Lauderdale, I‐Wen Huang, Po‐Liang Lu, Tsai-Ling Yang Lauderdale, Yu-Chieh Liao, Jui‐Fen Lai, Yih‐Ru Shiau, Shu‐Chen Kuo and Monto Ho. Their work appears in journals such as Frontiers in Microbiology, Antimicrobial Agents and Chemotherapy, Scientific Reports, Journal of Antimicrobial Chemotherapy and International Journal of Antimicrobial Agents.

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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