Ming‐Wei Chao

879 citations
35 papers · 703 · h-index 17

Impact in

    • Air Quality and Health Impacts
    • Climate Change and Health Impacts
    • Effects and risks of endocrine disrupting chemicals
    • Toxic Organic Pollutants Impact
  • Pollution top 10%
    • Energy and Environment Impacts

Papers in

Ming‐Wei Chao

35 papers receiving 697 citations

Peers

Ming‐Wei Chao
Comparison fields: 5 of 100
  • Health, Toxicology and Mutagenesis 280
  • Pollution 97
  • Cancer Research 88
  • Speech and Hearing 22
  • Toxicology 11
Replace Natalia Magnani with:
Natalia Magnani Argentina
Rachel Bulcão Brazil
Rubén Ruiz‐Ramos Mexico
Xiaoting Jin China
Yudan Wei United States
Lih‐Ann Li Taiwan
Lydie Sparfel France
Yong‐Dae Kim South Korea
Mi‐Kyung Song South Korea
Ming‐Wei Chao relative to Natalia Magnani Argentina Natalia Magnani's profile →
Citations per field
00.5×2.7×
Natalia Magnani · 1×
Citations per year

Countries citing papers authored by Ming‐Wei Chao

Since Specialization
Citations

This map shows the geographic impact of Ming‐Wei Chao'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 Chao 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 Chao more than expected).

Fields of papers citing papers by Ming‐Wei Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Wei Chao. 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 Chao. The network helps show where Ming‐Wei Chao may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201878
2 201663
3 201646
4 201744
5 201533
6 201732
7 201630
8 201427
9 201827
10 201627
11 201025
12 201225
13 201623
14 201919
15 202019
16 202118
17 201618
18 202016
19 201414
20 201214

About Ming‐Wei Chao

Ming‐Wei Chao is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Pollution, Pharmacology and Organic Chemistry, having authored 35 papers that have together received 703 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (9 papers), Energy and Environment Impacts (6 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Cancer-related Molecular Pathways (3 papers), Climate Change and Health Impacts (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Advanced Photocatalysis Techniques (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (280 citations), Pollution (97 citations), Cancer Research (88 citations), Speech and Hearing (22 citations) and Toxicology (11 citations). Ming‐Wei Chao has collaborated with scholars based in Taiwan, United States and Türkiye. Frequent co-authors include Chia‐Yi Tseng, Yu‐Jung Chang, Pınar Erkekoğlu, Chun‐Hua Wang, Chih‐Ming Weng, Kian Fan Chung, Ming‐Jen Lee, Hong-Yuan Huang, Steven R. Tannenbaum and Gerald N. Wogan. Their work appears in journals such as PLoS ONE, Toxicological Sciences, Journal of Environmental Pathology Toxicology and Oncology, Scientific Reports and Cardiovascular Toxicology.

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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