Ming‐Hsun Lee
Impact in
-
- Antibiotic Use and Resistance
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Antibiotic Resistance in Bacteria 12
- Co-authors
- Chien-Chang YangAn-Jing KuoJung-Jr YeJu‐Hsin ChiaTsu‐Lan WuHsieh‐Shong LeuChun-Wen ChengChing‐Tai Huang
- Journals
- Journal of Microbiology Immunology and Infection (13 papers)International Journal of Infectious Diseases (2 papers)Journal of Antimicrobial Chemotherapy (2 papers)Microbial Drug Resistance (2 papers)PLoS ONE (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Ming‐Hsun Lee
60 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Applied Microbiology and Biotechnology 141
- Molecular Medicine 331
- Clinical Biochemistry 254
- Infectious Diseases 453
- Endocrinology 101
Countries citing papers authored by Ming‐Hsun Lee
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 15 | |
| 5 | 2021 | 42 | |
| 6 | 2021 | 4 | |
| 7 | 2017 | 24 | |
| 8 | 2016 | 65 | |
| 9 | 2015 | 13 | |
| 10 | 2015 | 17 | |
| 11 | 2013 | 13 | |
| 12 | 2013 | 47 | |
| 13 | 2013 | 16 | |
| 14 | 2012 | 29 | |
| 15 | 2012 | 14 | |
| 16 | 2012 | 20 | |
| 17 | 2011 | 40 | |
| 18 | 2011 | 5 | |
| 19 | 2011 | 35 | |
| 20 | 2008 | 16 |
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.