Te-Li Chen
Impact in
- Molecular Medicine top 0.1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 1%
- Enterobacteriaceae and Cronobacter Research
- Infections and bacterial resistance
- Escherichia coli research studies
Papers in
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- Antibiotic Resistance in Bacteria 67
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- Infections and bacterial resistance 8
- Co-authors
- Chang‐Phone Fung (51 shared papers)Yi‐Tzu Lee (59 shared papers)Shu‐Chen Kuo (59 shared papers)Leung-Kei Kristopher Siu (18 shared papers)Feng‐Yee Chang (15 shared papers)Jung‐Chung Lin (15 shared papers)Chang-Phone Fung (10 shared papers)Chien-Pei Chen (14 shared papers)
In The Last Decade
Te-Li Chen
115 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 101
- Molecular Medicine 2.1k
- Endocrinology 469
- Microbiology 181
- Applied Microbiology and Biotechnology 64
- Clinical Biochemistry 109
Countries citing papers authored by Te-Li Chen
This map shows the geographic impact of Te-Li 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 Te-Li Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Te-Li Chen more than expected).
Fields of papers citing papers by Te-Li Chen
This network shows the impact of papers produced by Te-Li 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 Te-Li Chen. The network helps show where Te-Li Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Te-Li 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 285 | |
| 2 | 2006 | 268 | |
| 3 | 2012 | 153 | |
| 4 | 2010 | 131 | |
| 5 | Clinical characteristics and prognostic factors of patients with Stenotrophomonas maltophilia bacteremia. | 2004 | 118 |
| 6 | 2010 | 111 | |
| 7 | 2011 | 86 | |
| 8 | 2012 | 80 | |
| 9 | 2013 | 79 | |
| 10 | 2008 | 73 | |
| 11 | 2008 | 67 | |
| 12 | 2014 | 60 | |
| 13 | 2015 | 58 | |
| 14 | 2003 | 53 | |
| 15 | 2009 | 52 | |
| 16 | 2014 | 51 | |
| 17 | 2003 | 50 | |
| 18 | 2009 | 50 | |
| 19 | 2011 | 50 | |
| 20 | 2018 | 50 |
About Te-Li Chen
Te-Li Chen is a scholar working on Molecular Medicine, Endocrinology, Infectious Diseases, Microbiology and Clinical Biochemistry, having authored 119 papers that have together received 3.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (67 papers), Infections and bacterial resistance (8 papers), Bacterial Identification and Susceptibility Testing (6 papers), Bacterial Infections and Vaccines (5 papers), Nosocomial Infections in ICU (5 papers), Amoebic Infections and Treatments (4 papers), Antifungal resistance and susceptibility (3 papers) and Sepsis Diagnosis and Treatment (3 papers). The work is most often cited by research in Molecular Medicine (2.1k citations), Endocrinology (469 citations), Microbiology (181 citations), Applied Microbiology and Biotechnology (64 citations) and Clinical Biochemistry (109 citations). Te-Li Chen has collaborated with scholars based in Taiwan, Singapore and Australia. Frequent co-authors include Chang‐Phone Fung, Yi‐Tzu Lee, Shu‐Chen Kuo, Leung-Kei Kristopher Siu, Feng‐Yee Chang, Jung‐Chung Lin, Chang-Phone Fung, Chien-Pei Chen, Yi-Tsung Lin and Wen-Long Cho. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology, Journal of Antimicrobial Chemotherapy and BMC Infectious Diseases.
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.