Ming Wei Chen

846 citations
20 papers · 572 · h-index 12

Impact in

Papers in

    • Biochemical and Structural Characterization 2
    • Viral Infections and Vectors 3
    • SARS-CoV-2 detection and testing 3
    • Viral Infections and Outbreaks Research 3
    • SARS-CoV-2 and COVID-19 Research 2

Ming Wei Chen

20 papers receiving 569 citations

Peers

Ming Wei Chen
Comparison fields: 5 of 67
  • Virology 41
  • Infectious Diseases 149
  • Public Health, Environmental and Occupational Health 194
  • Biotechnology 41
  • Molecular Biology 290
Replace Chong Wai Liew with:
Chong Wai Liew Singapore
Valerie A. Villareal United States
Manas Ranjan Dikhit India
Matthew A. Child United States
Bingbing Deng United States
Pallavi Ghosh United States
Daniil M. Prigozhin United States
Douglas Lane United States
Rupal Ojha India
Ming Wei Chen relative to Chong Wai Liew Singapore Chong Wai Liew's profile →
Citations per field
00.5×1.5×
Chong Wai Liew · 1×
Citations per year

Countries citing papers authored by Ming Wei Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 201791
2 201985
3 201966
4 201741
5 201241
6 198738
7 201937
8 201236
9 202029
10 202026
11 202020
12 201312
13 202210
14 202210
15 20229
16 20139
17 20206
18 20223
19 20242
20 20201

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 572 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (6 papers), Viral Infections and Vectors (3 papers), SARS-CoV-2 detection and testing (3 papers), Viral Infections and Outbreaks Research (3 papers), Microbial Natural Products and Biosynthesis (3 papers), interferon and immune responses (2 papers), Biochemical and Structural Characterization (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Virology (41 citations), Infectious Diseases (149 citations), Public Health, Environmental and Occupational Health (194 citations), Biotechnology (41 citations) and Molecular Biology (290 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, Jie Zheng, Wint Wint Phoo, Abbas El Sahili, Age Utt, Andres Merits, M S Horwitz and Yee-Song Law. Their work appears in journals such as Antiviral Research, Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, iScience 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.

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