Te-Li Chen

768 citations
18 papers · 568 · h-index 15

Impact in

Papers in

    • Antibiotic Resistance in Bacteria 8
    • Pneumocystis jirovecii pneumonia detection and treatment 3
    • Pneumonia and Respiratory Infections 3

Te-Li Chen

17 papers receiving 562 citations

Peers

Te-Li Chen
Comparison fields: 5 of 81
  • Molecular Medicine 297
  • Endocrinology 132
  • Applied Microbiology and Biotechnology 22
  • Parasitology 51
  • Infectious Diseases 126
Replace Joshua S. Hawley with:
Joshua S. Hawley United States
C. Hennequin France
Olav Natås Norway
Ratna Baral Nepal
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Devrim Dündar Türkiye
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Te-Li Chen relative to Joshua S. Hawley United States Joshua S. Hawley's profile →
Citations per field
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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

18 of 18 papers shown
#Work
1 2010123
2 201376
3 201845
4 201140
5 201139
6 201332
7 201132
8 201531
9 201830
10 201121
11 201821
12
Clinical characteristics of fatal patients with severe acute respiratory syndrome in a medical center in Taipei.
200319
13 201217
14 201116
15 201014
16 20058
17 20144
18 20100

About Te-Li Chen

Te-Li Chen is a scholar working on Molecular Medicine, Epidemiology, Infectious Diseases, Pharmacology and Pollution, having authored 18 papers that have together received 568 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Pneumonia and Respiratory Infections (3 papers), Nosocomial Infections in ICU (2 papers), Amoebic Infections and Treatments (2 papers) and Gallbladder and Bile Duct Disorders (2 papers). The work is most often cited by research in Molecular Medicine (297 citations), Endocrinology (132 citations), Applied Microbiology and Biotechnology (22 citations), Parasitology (51 citations) and Infectious Diseases (126 citations). Te-Li Chen has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Chang-Phone Fung, Yi-Tsung Lin, Shu‐Chen Kuo, Yi‐Tzu Lee, Yi-Tsung Lin, L. Kristopher Siu, Tsai-Ling Lauderdale, Fu‐Der Wang, Feng‐Yee Chang and Tzu‐Wen Huang. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Clinical Infectious Diseases, Scientific Reports, Antimicrobial Agents and Chemotherapy and Journal of Clinical Microbiology.

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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