Ming Wei Chen
Impact in
- Virology top 10%
- Infectious Diseases top 10%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
Papers in ⓘ
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- Bacterial biofilms and quorum sensing 2
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- SARS-CoV-2 detection and testing 3
- Viral Infections and Outbreaks Research 3
- Viral Infections and Vectors 3
- Co-authors
- Julien Lescar (8 shared papers)Dahai Luo (6 shared papers)Yaw Bia Tan (4 shared papers)Wint Wint Phoo (2 shared papers)Jie Zheng (3 shared papers)M S Horwitz (1 shared paper)Gary Munk (1 shared paper)Abbas El Sahili (3 shared papers)
- Journals
- Antiviral Research (2 papers)Proceedings of the National Academy of Sciences (2 papers)iScience (1 paper)Journal of Bacteriology (1 paper)Bioengineering & Translational Medicine (1 paper)
- Partner nations
- SingaporeUnited StatesFrance
In The Last Decade
Ming Wei Chen
20 papers receiving 547 citations
Peers
Comparison fields: 5 of 71
- Virology 40
- Infectious Diseases 151
- Public Health, Environmental and Occupational Health 191
- Biotechnology 42
- Molecular Biology 292
Countries citing papers authored by Ming Wei Chen
This map shows the geographic impact of Ming Wei Chen'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 Wei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wei Chen more than expected).
Fields of papers citing papers by Ming Wei Chen
This network shows the impact of papers produced by Ming Wei Chen. 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 Wei Chen. The network helps show where Ming Wei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Wei Chen, 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 | 2017 | 90 | |
| 2 | 2019 | 83 | |
| 3 | 2019 | 62 | |
| 4 | 2012 | 41 | |
| 5 | 1987 | 38 | |
| 6 | 2017 | 37 | |
| 7 | 2019 | 35 | |
| 8 | 2012 | 33 | |
| 9 | 2020 | 29 | |
| 10 | 2020 | 24 | |
| 11 | 2020 | 19 | |
| 12 | 2013 | 12 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2013 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2020 | 6 | |
| 18 | 2022 | 3 | |
| 19 | 2020 | 1 | |
| 20 | 2024 | 1 |
About Ming Wei Chen
Ming Wei Chen is a scholar working on Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health, Genetics and Pharmacology, having authored 20 papers that have together received 550 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (6 papers), Microbial Natural Products and Biosynthesis (3 papers), SARS-CoV-2 detection and testing (3 papers), Viral Infections and Outbreaks Research (3 papers), Viral Infections and Vectors (3 papers), HIV Research and Treatment (2 papers), Bacterial biofilms and quorum sensing (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Virology (40 citations), Infectious Diseases (151 citations), Public Health, Environmental and Occupational Health (191 citations), Biotechnology (42 citations) and Molecular Biology (292 citations). Ming Wei Chen has collaborated with scholars based in Singapore, United States and France. Frequent co-authors include Julien Lescar, Dahai Luo, Yaw Bia Tan, Wint Wint Phoo, Jie Zheng, M S Horwitz, Gary Munk, Abbas El Sahili, Phyllis Flomenberg and Yee-Song Law. Their work appears in journals such as Antiviral Research, Proceedings of the National Academy of Sciences, iScience, Journal of Bacteriology and Bioengineering & Translational Medicine.
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.