Ming-Chi Li

38 papers receiving 719 citations

Peers

Ming-Chi Li
Comparison fields: 5 of 91
  • Molecular Medicine 155
  • Applied Microbiology and Biotechnology 44
  • Endocrinology 95
  • Infectious Diseases 177
  • Clinical Biochemistry 60
Replace Ioannis Neonakis with:
Ioannis Neonakis Greece
Naoki Uno Japan
Norihisa Yamamoto Japan
Chin-Fu Lin Taiwan
Nuria Tormo Spain
Sabrina Klein Germany
Shanmei Wang China
Jong Hee Shin South Korea
Li‐Hwei Sng Singapore
Daniel J. Snyder United States
Ming-Chi Li relative to Ioannis Neonakis Greece Ioannis Neonakis's profile →
Citations per field
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Ioannis Neonakis · 1×
Citations per year

Countries citing papers authored by Ming-Chi Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ming-Chi Li Line = papers co-authored together Ming-Chi Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012106
2 201560
3 201450
4 201943
5 202043
6 201440
7 202234
8 201333
9 201530
10 201529
11 201525
12 202024
13 201523
14 201817
15 201716
16 201615
17 201513
18 201412
19 202011
20 201611

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 728 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 (155 citations), Applied Microbiology and Biotechnology (44 citations), Endocrinology (95 citations), Infectious Diseases (177 citations) and Clinical Biochemistry (60 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, Solid-State Electronics, Medicine and International Journal of 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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