Ming‐Hsun Lee

63 papers receiving 1.4k citations

Peers

Ming‐Hsun Lee
Comparison fields: 5 of 106
  • Molecular Medicine 324
  • Applied Microbiology and Biotechnology 97
  • Clinical Biochemistry 195
  • Infectious Diseases 426
  • Endocrinology 78
Replace Cheng‐Mao Ho with:
Cheng‐Mao Ho Taiwan
Chung-Jong Kim South Korea
Octavio Martínez United States
Angella Charnot‐Katsikas United States
Lemonia Skoura Greece
Lonneke G. M. Bode Netherlands
Thomas K.�W. Ling Hong Kong
R. Finkelstein Israel
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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-authors

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

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201772
2 201671
3 201168
4 201051
5 201350
6 202148
7 201547
8
Rhinocerebral mucormycosis in Taiwan.
200346
9 201143
10 201140
11 201740
12 201437
13
Clinical significance of and outcomes for Bacteroides fragilis bacteremia.
200936
14 201236
15 201733
16
Tuberculous arthritis--a fourteen-year experience at a tertiary teaching hospital in Taiwan.
200729
17 201029
18 201629
19 201129
20 201824

About Ming‐Hsun Lee

Ming‐Hsun Lee is a scholar working on Molecular Medicine, Infectious Diseases, Clinical Biochemistry, Epidemiology and Public Health, Environmental and Occupational Health, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial Identification and Susceptibility Testing (6 papers), Infectious Diseases and Tuberculosis (4 papers), Otolaryngology and Infectious Diseases (4 papers), Streptococcal Infections and Treatments (4 papers), Reproductive Biology and Fertility (4 papers) and Ovarian cancer diagnosis and treatment (3 papers). The work is most often cited by research in Molecular Medicine (324 citations), Applied Microbiology and Biotechnology (97 citations), Clinical Biochemistry (195 citations), Infectious Diseases (426 citations) and Endocrinology (78 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, Chun-Wen Cheng, Hsieh‐Shong Leu, Ching‐Tai Huang, Ping-Cherng Chiang and Jang‐Jih Lu. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Diagnostic Microbiology and Infectious Disease, Journal of Antimicrobial Chemotherapy, International Journal of Infectious Diseases 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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