M. S. Yang

878 citations
29 papers · 778 · h-index 17

Impact in

    • Environmental Toxicology and Ecotoxicology
    • Heavy Metal Exposure and Toxicity
    • Toxic Organic Pollutants Impact
    • Air Quality and Health Impacts
  • Pollution top 10%
    • Heavy metals in environment

Papers in

M. S. Yang

29 papers receiving 759 citations

Peers

M. S. Yang
Comparison fields: 5 of 110
  • Health, Toxicology and Mutagenesis 219
  • Pollution 86
  • Nutrition and Dietetics 94
  • Physiology 23
  • Biochemistry 34
Replace Jean‐Claude Murat with:
Jean‐Claude Murat France
Xin Yan China
Qiujuan Li China
Anthony L. Luz United States
Dehua Liao China
Sang Hyun Kim South Korea
Yanmin Xu China
İsmail Bolat Türkiye
Dalei Zhang China
Osamu Yamanoshita Japan
M. S. Yang relative to Jean‐Claude Murat France Jean‐Claude Murat's profile →
Citations per field
00.5×1.5×1.8×
Jean‐Claude Murat · 1×
Citations per year

Countries citing papers authored by M. S. Yang

Since Specialization
Citations

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

Fields of papers citing papers by M. S. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. S. Yang. 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 M. S. Yang. The network helps show where M. S. Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200678
2 200772
3 200363
4 200963
5 200848
6 199846
7 200840
8 200938
9 200034
10 200433
11 200332
12 199825
13 200225
14 200324
15 200023
16 199619
17 200817
18 200016
19 200714
20 199313

About M. S. Yang

M. S. Yang is a scholar working on Health, Toxicology and Mutagenesis, Nutrition and Dietetics, Oncology, Biochemistry and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 778 indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (9 papers), Trace Elements in Health (9 papers), Environmental Toxicology and Ecotoxicology (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Mass Spectrometry Techniques and Applications (2 papers), Aluminum toxicity and tolerance in plants and animals (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (219 citations), Pollution (86 citations), Nutrition and Dietetics (94 citations), Physiology (23 citations) and Biochemistry (34 citations). M. S. Yang has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Tao Lin, Linda Chia‐Hui Yu, Zongwei Cai, Ming Hung Wong, Ramesh C. Gupta, Tianxiu Qian, Chris K.C. Wong, N. K. Mak, Ken Kin Lam Yung and Suk‐King Lai. Their work appears in journals such as Toxicology, Chemico-Biological Interactions, Bulletin of Environmental Contamination and Toxicology, Neuroscience and Journal of Chromatography A.

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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