Te-Li Chen

98 papers receiving 2.9k citations

Peers

Te-Li Chen
Comparison fields: 5 of 112
  • Molecular Medicine 2.0k
  • Endocrinology 1.0k
  • Applied Microbiology and Biotechnology 273
  • Clinical Biochemistry 239
  • Microbiology 215
Replace Yi-Tsung Lin with:
Yi-Tsung Lin Taiwan
Deniz Gür Türkiye
Pattarachai Kiratisin Thailand
Jung‐Chung Lin Taiwan
Tsai‐Ling Lauderdale Taiwan
José Campos Spain
Paul‐Louis Woerther France
Yuxing Ni China
Amos Adler Israel
Wonkeun Song South Korea
Te-Li Chen relative to Yi-Tsung Lin Taiwan Yi-Tsung Lin's profile →
Citations per field
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Yi-Tsung Lin · 1×
Citations per year

Countries citing papers authored by Te-Li Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011261
2 2006246
3 2012140
4
Clinical characteristics and prognostic factors of patients with Stenotrophomonas maltophilia bacteremia.
2004114
5 2010105
6 201276
7 201175
8 200869
9 200863
10 201456
11 201554
12 200953
13 200351
14 200946
15 201446
16 200844
17 201044
18 201443
19 200342
20 201542

About Te-Li Chen

Te-Li Chen is a scholar working on Molecular Medicine, Endocrinology, Applied Microbiology and Biotechnology, Microbiology and Pharmacology, having authored 101 papers that have together received 3.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (75 papers), Vibrio bacteria research studies (20 papers), Antibiotics Pharmacokinetics and Efficacy (19 papers), Bacterial biofilms and quorum sensing (17 papers), Pneumonia and Respiratory Infections (12 papers), Urinary Tract Infections Management (10 papers), Pharmaceutical and Antibiotic Environmental Impacts (9 papers) and Infections and bacterial resistance (9 papers). The work is most often cited by research in Molecular Medicine (2.0k citations), Endocrinology (1.0k citations), Applied Microbiology and Biotechnology (273 citations), Clinical Biochemistry (239 citations) and Microbiology (215 citations). Te-Li Chen has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Chang‐Phone Fung, Yi‐Tzu Lee, Shu‐Chen Kuo, L. Kristopher Siu, Feng‐Yee Chang, Jung‐Chung Lin, Wen-Long Cho, Cheng-Yi Liu, Chien-Pei Chen and Fu‐Der Wang. 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.

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