Chun Ming How

490 citations
31 papers · 374 · h-index 13

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Pollution top 10%
    • Microplastics and Plastic Pollution
    • Heavy metals in environment
    • Pharmaceutical and Antibiotic Environmental Impacts

Papers in

Chun Ming How

29 papers receiving 374 citations

Peers

Chun Ming How
Comparison fields: 5 of 82
  • Aging 120
  • Pollution 103
  • Health, Toxicology and Mutagenesis 115
  • Endocrine and Autonomic Systems 23
  • Biological Psychiatry 7
Replace Mahfuzur R. Miah with:
Mahfuzur R. Miah United States
Amanda S. Bess United States
Qinli Ruan China
Adi Pinkas United States
Rekek Negga United States
Shunhui Yu China
Julie R. Rice United States
Chun‐Han Chang Taiwan
Laura L. Maurer United States
Zhaokang Cui China
Chun Ming How relative to Mahfuzur R. Miah United States Mahfuzur R. Miah's profile →
Citations per field
00.5×1.5×2.2×
Mahfuzur R. Miah · 1×
Citations per year

Countries citing papers authored by Chun Ming How

Since Specialization
Citations

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

Fields of papers citing papers by Chun Ming How

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun Ming How. 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 Chun Ming How. The network helps show where Chun Ming How may publish in the future.

Co-authors

The 25 scholars most cited alongside Chun Ming How, 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 Chun Ming How Line = papers co-authored together Chun Ming How 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 201851
2 201837
3 201933
4 201629
5 202025
6 202024
7 201719
8 202119
9 202314
10 202214
11 202313
12 202213
13 202212
14 202112
15 202112
16 201610
17 20247
18 20237
19 20246
20 20245

About Chun Ming How

Chun Ming How is a scholar working on Health, Toxicology and Mutagenesis, Aging, Ecology, Pollution and Molecular Biology, having authored 31 papers that have together received 374 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (11 papers), Environmental DNA in Biodiversity Studies (6 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Identification and Quantification in Food (4 papers), Microbial Community Ecology and Physiology (4 papers), Selenium in Biological Systems (3 papers), Heavy metals in environment (3 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Aging (120 citations), Pollution (103 citations), Health, Toxicology and Mutagenesis (115 citations), Endocrine and Autonomic Systems (23 citations) and Biological Psychiatry (7 citations). Chun Ming How has collaborated with scholars based in Taiwan, Hong Kong and China. Frequent co-authors include Vivian Hsiu‐Chuan Liao, Pei-Ling Yen, Chi‐Wei Huang, Chia‐Cheng Wei, Chan‐Wei Yu, Ting‐An Lin, Yu‐Hsuan Kuo, Chun‐Han Chang, Min‐Hsiung Pan and Yi‐Hsien Cheng. Their work appears in journals such as Environmental Pollution, The Science of The Total Environment, Chemosphere, Environmental DNA and Aquatic 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.

Explore authors with similar magnitude of impact