Miao‐Ching Chi

967 citations
31 papers · 731 · h-index 20

Impact in

Papers in

Miao‐Ching Chi

30 papers receiving 723 citations

Peers

Miao‐Ching Chi
Comparison fields: 5 of 108
  • Health, Toxicology and Mutagenesis 336
  • Process Chemistry and Technology 27
  • Environmental Engineering 97
  • Speech and Hearing 36
  • Pollution 41
Replace Ingrid Beck‐Speier with:
Ingrid Beck‐Speier Germany
Lieyang Fan China
Xiaoyuan Yao China
Hung-Che Chiang Taiwan
Anna Barbieri Italy
Ke Zu United States
Vlasta Švecová Czechia
Xiaoge Wang China
Ge Mu China
Jagdish L. Devalia United Kingdom
Miao‐Ching Chi relative to Ingrid Beck‐Speier Germany Ingrid Beck‐Speier's profile →
Citations per field
00.5×10×15×19.6×
Ingrid Beck‐Speier · 1×
Citations per year

Countries citing papers authored by Miao‐Ching Chi

Since Specialization
Citations

This map shows the geographic impact of Miao‐Ching Chi'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 Miao‐Ching Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miao‐Ching Chi more than expected).

Fields of papers citing papers by Miao‐Ching Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miao‐Ching Chi. 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 Miao‐Ching Chi. The network helps show where Miao‐Ching Chi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200758
2 202051
3 202443
4 202037
5 202036
6 201634
7 202133
8 202231
9 201831
10 201629
11 201928
12 201728
13 201227
14 202227
15 201924
16 200523
17 202121
18 202321
19 201620
20 200620

About Miao‐Ching Chi

Miao‐Ching Chi is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, General Health Professions, Oncology and Pharmacology, having authored 31 papers that have together received 731 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (15 papers), Climate Change and Health Impacts (7 papers), Cell death mechanisms and regulation (3 papers), Air Quality Monitoring and Forecasting (3 papers), Indoor Air Quality and Microbial Exposure (3 papers), Global Health Care Issues (3 papers), Chemokine receptors and signaling (3 papers) and Heme Oxygenase-1 and Carbon Monoxide (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (336 citations), Process Chemistry and Technology (27 citations), Environmental Engineering (97 citations), Speech and Hearing (36 citations) and Pollution (41 citations). Miao‐Ching Chi has collaborated with scholars based in Taiwan, United States and Philippines. Frequent co-authors include Chih-Shan Li, Chieh‐Mo Lin, Chiang‐Wen Lee, Su‐Er Guo, Su‐Lun Hwang, Ju‐Fang Liu, Yu‐Ching Lin, Chiang‐Ting Chou, Mei-Ling Fang and Yao‐Chang Chiang. Their work appears in journals such as International Journal of Environmental Research and Public Health, Aerosol Science and Technology, International Journal of Biological Sciences, Environmental Science and Pollution Research and Journal of Cellular Physiology.

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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