Ming-Chi Li
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Antifungal resistance and susceptibility 5
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- Fungal Infections and Studies 3
- Pneumocystis jirovecii pneumonia detection and treatment 3
- Co-authors
- Wen‐Chien Ko (32 shared papers)Nan–Yao Lee (26 shared papers)Ching‐Chi Lee (13 shared papers)Chia‐Wen Li (17 shared papers)Po‐Lin Chen (15 shared papers)Chia‐Ming Chang (4 shared papers)Hsin–Chun Lee (1 shared paper)Chi-Jung Wu (6 shared papers)
In The Last Decade
Ming-Chi Li
38 papers receiving 729 citations
Peers
Comparison fields: 5 of 92
- Molecular Medicine 157
- Applied Microbiology and Biotechnology 45
- Endocrinology 97
- Infectious Diseases 184
- Clinical Biochemistry 61
Countries citing papers authored by Ming-Chi Li
This map shows the geographic impact of Ming-Chi Li'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-Chi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Chi Li more than expected).
Fields of papers citing papers by Ming-Chi Li
This network shows the impact of papers produced by Ming-Chi Li. 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-Chi Li. The network helps show where Ming-Chi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-Chi Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 108 | |
| 2 | 2015 | 61 | |
| 3 | 2014 | 50 | |
| 4 | 2020 | 44 | |
| 5 | 2019 | 43 | |
| 6 | 2014 | 42 | |
| 7 | 2022 | 34 | |
| 8 | 2013 | 33 | |
| 9 | 2015 | 32 | |
| 10 | 2015 | 29 | |
| 11 | 2015 | 25 | |
| 12 | 2020 | 24 | |
| 13 | 2015 | 24 | |
| 14 | 2018 | 18 | |
| 15 | 2017 | 17 | |
| 16 | 2016 | 15 | |
| 17 | 2015 | 13 | |
| 18 | 2014 | 12 | |
| 19 | 2020 | 11 | |
| 20 | 2016 | 11 |
About Ming-Chi Li
Ming-Chi Li is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Endocrinology and Pharmacology, having authored 41 papers that have together received 740 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Antifungal resistance and susceptibility (5 papers), Fungal Infections and Studies (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), HIV-related health complications and treatments (3 papers), Enterobacteriaceae and Cronobacter Research (3 papers) and Aquaculture disease management and microbiota (3 papers). The work is most often cited by research in Molecular Medicine (157 citations), Applied Microbiology and Biotechnology (45 citations), Endocrinology (97 citations), Infectious Diseases (184 citations) and Clinical Biochemistry (61 citations). Ming-Chi Li has collaborated with scholars based in Taiwan and Japan. Frequent co-authors include Wen‐Chien Ko, Nan–Yao Lee, Ching‐Chi Lee, Chia‐Wen Li, Po‐Lin Chen, Chia‐Ming Chang, Hsin–Chun Lee, Chi-Jung Wu, Chin-Shiang Tsai and Po‐Ren Hsueh. Their work appears in journals such as Journal of Microbiology Immunology and Infection, International Journal of Antimicrobial Agents, Medicine, Journal of Infection and Public Health and Applied and Environmental 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.