Ming‐Hsun Lee

60 papers receiving 1.2k citations

Peers

Ming‐Hsun Lee
Comparison fields: 5 of 106
  • Applied Microbiology and Biotechnology 141
  • Molecular Medicine 331
  • Clinical Biochemistry 254
  • Infectious Diseases 453
  • Endocrinology 101
Replace Cheng‐Mao Ho with:
Cheng‐Mao Ho Taiwan
Jin‐Yong Jeong South Korea
B. Pilmis France
Eva Leitner Austria
Eui Chong Kim South Korea
Thomas K.�W. Ling China
Tsilia Lazarovitch Israel
Ilana Oren Israel
Francesco Menichetti Italy
Ioannis Chatzinikolaou Greece
Ming‐Hsun Lee relative to Cheng‐Mao Ho Taiwan Cheng‐Mao Ho's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ming‐Hsun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Hsun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Hsun Lee. 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 Ming‐Hsun Lee. The network helps show where Ming‐Hsun Lee may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20239
3 20232
4 202215
5 202142
6 20214
7 201724
8 201665
9 201513
10 201517
11 201313
12 201347
13 201316
14 201229
15 201214
16 201220
17 201140
18 20115
19 201135
20 200816

About Ming‐Hsun Lee

Ming‐Hsun Lee is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Clinical Biochemistry, Infectious Diseases and Epidemiology, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers), Bacterial Identification and Susceptibility Testing (9 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Streptococcal Infections and Treatments (8 papers), Infectious Diseases and Tuberculosis (7 papers), Infective Endocarditis Diagnosis and Management (7 papers) and Pneumonia and Respiratory Infections (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (141 citations), Molecular Medicine (331 citations), Clinical Biochemistry (254 citations), Infectious Diseases (453 citations) and Endocrinology (101 citations). Ming‐Hsun Lee has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chien-Chang Yang, An-Jing Kuo, Jung-Jr Ye, Ju‐Hsin Chia, Tsu‐Lan Wu, Hsieh‐Shong Leu, Chun-Wen Cheng, Ching‐Tai Huang, Ping-Cherng Chiang and Jang‐Jih Lu. Their work appears in journals such as Journal of Microbiology Immunology and Infection, International Journal of Infectious Diseases, Journal of Antimicrobial Chemotherapy, Microbial Drug Resistance and PLoS ONE.

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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