Chun‐Hsing Liao

7.8k citations
209 papers · 5.1k indexed · h-index 39

Chun‐Hsing Liao

203 papers receiving 5.0k citations

Peers

Chun‐Hsing Liao
Comparison fields: 5 of 141
  • Microbiology 274
  • Molecular Medicine 1.4k
  • Applied Microbiology and Biotechnology 358
  • Endocrinology 821
  • Clinical Biochemistry 913
Replace Lee‐Jene Teng with:
Lee‐Jene Teng Taiwan
Phyllis Della‐Latta United States
Reno Frei Switzerland
Pere Coll Spain
Vincent Cattoir France
Irving Nachamkin United States
Peter H. Gilligan United States
Mi‐Na Kim South Korea
Reinhard Zbinden Switzerland
Pallab Ray India
Chun‐Hsing Liao relative to Lee‐Jene Teng Taiwan Lee‐Jene Teng's profile →
Citations per field
00.5×3.0×
Lee‐Jene Teng · 1×
Citations per year

Countries citing papers authored by Chun‐Hsing Liao

Since Specialization
Citations

This map shows the geographic impact of Chun‐Hsing Liao'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 Chun‐Hsing Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Hsing Liao more than expected).

Fields of papers citing papers by Chun‐Hsing Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Hsing Liao. 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 Chun‐Hsing Liao. The network helps show where Chun‐Hsing Liao may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Chun‐Hsing Liao, 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 Chun‐Hsing Liao Line = papers co-authored together Chun‐Hsing Liao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20245
5 20240
6 20231
7 202013
8 201932
9 20153
10 201311
11 201041
12 201036
13 201063
14 201016
15 200919
16 200918
17 20083
18
Skin and soft tissue infection caused by non-tuberculous mycobacteria.
200736
19 200711
20
Discontinuation of secondary prophylaxis in AIDS patients with disseminated non-tuberculous mycobacteria infection
20044

About Chun‐Hsing Liao

Chun‐Hsing Liao is a scholar working on Microbiology, Molecular Medicine and Endocrinology, having authored 209 papers that have together received 5.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (58 papers), Bacterial Identification and Susceptibility Testing (45 papers), Antimicrobial Resistance in Staphylococcus (38 papers), Mycobacterium research and diagnosis (33 papers), Antibiotics Pharmacokinetics and Efficacy (22 papers), Tuberculosis Research and Epidemiology (21 papers), Infective Endocarditis Diagnosis and Management (20 papers) and Vibrio bacteria research studies (18 papers). The work is most often cited by research in Microbiology (274 citations), Molecular Medicine (1.4k citations) and Applied Microbiology and Biotechnology (358 citations). Chun‐Hsing Liao has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Po‐Ren Hsueh, Yu‐Tsung Huang, Chih‐Cheng Lai, Chia‐Ying Liu, Shan‐Chwen Chang, Lee‐Jene Teng, Meng-Shiuan Hsu, Chung-Hsien Tsai, Chee‐Kiat Tan and Wang‐Huei Sheng. Their work appears in journals such as Journal of Microbiology Immunology and Infection, International Journal of Antimicrobial Agents, Clinical Microbiology and Infection, Journal of Clinical Microbiology and European Journal of Clinical Microbiology & 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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