King Ming Chan

4.6k citations
99 papers · 3.8k · h-index 35

Impact in

  • Pollution top 0.5%
    • Microplastics and Plastic Pollution
    • Heavy metals in environment
    • Environmental Toxicology and Ecotoxicology
    • Heavy Metal Exposure and Toxicity
    • Effects and risks of endocrine disrupting chemicals
    • Toxic Organic Pollutants Impact

Papers in

King Ming Chan

99 papers receiving 3.7k citations

Peers

King Ming Chan
Comparison fields: 5 of 151
  • Pollution 1.3k
  • Health, Toxicology and Mutagenesis 1.5k
  • Industrial and Manufacturing Engineering 544
  • Physiology 200
  • Nutrition and Dietetics 488
Replace Shahid Mahboob with:
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Khalid A. Al‐Ghanim Saudi Arabia
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King Ming Chan relative to Shahid Mahboob Saudi Arabia Shahid Mahboob's profile →
Citations per field
00.5×3.4×
Shahid Mahboob · 1×
Citations per year

Countries citing papers authored by King Ming Chan

Since Specialization
Citations

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

Fields of papers citing papers by King Ming Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016314
2 2019234
3 2011191
4 2013178
5 1998124
6 2010110
7 202097
8 201496
9 201490
10 201281
11 201179
12 199573
13 202066
14 200264
15 200460
16 201059
17 201555
18 201455
19 201055
20 200851

About King Ming Chan

King Ming Chan is a scholar working on Health, Toxicology and Mutagenesis, Nutrition and Dietetics, Pollution, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 99 papers that have together received 3.8k indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (31 papers), Trace Elements in Health (30 papers), Heavy Metal Exposure and Toxicity (28 papers), Toxic Organic Pollutants Impact (12 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Heavy metals in environment (11 papers), Drug Transport and Resistance Mechanisms (8 papers) and Effects and risks of endocrine disrupting chemicals (8 papers). The work is most often cited by research in Pollution (1.3k citations), Health, Toxicology and Mutagenesis (1.5k citations), Industrial and Manufacturing Engineering (544 citations), Physiology (200 citations) and Nutrition and Dietetics (488 citations). King Ming Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Jimmy C. Yu, Kirsten Yeung, Dongshi Chen, Jie Yang, Christopher H.K. Cheng, Dieqing Zhang, Jinyong Zhu, R. Cheung, Carol Sze Ki Lin and Rick Arneil D. Arancon. Their work appears in journals such as Aquatic Toxicology, Marine Pollution Bulletin, Metallomics, Marine Environmental Research and Chemosphere.

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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