Ming-Feng Lin

39 papers receiving 1.1k citations

Peers

Ming-Feng Lin
Comparison fields: 5 of 86
  • Molecular Medicine 900
  • Endocrinology 413
  • Applied Microbiology and Biotechnology 138
  • Pollution 228
  • Microbiology 76
Replace Darren Wong with:
Darren Wong United States
Chang-Jun Cha South Korea
Elisabetta Nucleo Italy
Maria Lina Mezzatesta Italy
Uma Sekar India
Maria Cristina Bronharo Tognim Brazil
Thamarai Schneiders United Kingdom
Mohammad Reza Nahaei Iran
Mai M. Zafer Egypt
Lisa Liolios Australia
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Citations per year

Countries citing papers authored by Ming-Feng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Feng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Feng Lin. 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-Feng Lin. The network helps show where Ming-Feng Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014272
2 201494
3 201777
4 201576
5 200365
6 201558
7 200950
8 201146
9
Pyogenic psoas abscess: analysis of 27 cases.
199943
10 200932
11 201530
12
Characterization of antimicrobial resistance patterns and integrons in human fecal Escherichia coli in Taiwan.
200926
13
Role of integrons in antimicrobial susceptibility patterns of Acinetobacter baumannii.
201024
14 202023
15 201323
16
Molecular epidemiology and antimicrobial resistance determinants of multidrug-resistant Acinetobacter baumannii in five proximal hospitals in Taiwan.
201121
17 200920
18 201120
19 201020
20 200916

About Ming-Feng Lin

Ming-Feng Lin is a scholar working on Molecular Medicine, Endocrinology, Molecular Biology, Epidemiology and Infectious Diseases, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (24 papers), Bacterial biofilms and quorum sensing (9 papers), Vibrio bacteria research studies (9 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Antibiotic Use and Resistance (4 papers). The work is most often cited by research in Molecular Medicine (900 citations), Endocrinology (413 citations), Applied Microbiology and Biotechnology (138 citations), Pollution (228 citations) and Microbiology (76 citations). Ming-Feng Lin has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include Chung‐Yu Lan, Yun-You Lin, Ming‐Li Liou, Hui‐Wen Yeh, Chih‐Man Yang, Kai‐Chih Chang, Han‐Yueh Kuo, Chung‐Hui Lin, Yu‐Hung Lin and Tian Tang. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Infection Control and Hospital Epidemiology, Journal of Hospital Infection, PLoS ONE and The Journal of 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.

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