Yan Jun Chang

672 citations
42 papers · 575 · h-index 12

Impact in

Papers in

Yan Jun Chang

40 papers receiving 562 citations

Peers

Yan Jun Chang
Comparison fields: 5 of 114
  • Health, Toxicology and Mutagenesis 131
  • Pollution 100
  • Materials Chemistry 229
  • Biochemistry 27
  • Chemical Health and Safety 2
Replace Mary C. Buford with:
Mary C. Buford United States
Victor A. Robinson United States
Maria Fernanda Hornos Carneiro Brazil
Lili Xin China
Jia Kang China
Yosuke Tabei Japan
Laurent Foucaud France
Jun Jie Zhao China
Zengtian Sun China
Yufang Zhong China
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Citations per field
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Citations per year

Countries citing papers authored by Yan Jun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Jun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan Jun Chang. 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 Yan Jun Chang. The network helps show where Yan Jun Chang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015105
2 201359
3 201352
4 201647
5 201939
6 201837
7 201435
8 201722
9 201017
10 197516
11 201916
12 198215
13 201411
14 202210
15 201710
16
Effects of Ketamine on Metabolomics of Serum and Urine in Cynomolgus Macaques (Macaca fascicularis).
20168
17
Mechanism of action of colchicine. VI: Effect of colchicine on generation of leukotriene B4 by human polymorphonuclear leukocytes.
19908
18 20147
19 20146
20 20136

About Yan Jun Chang

Yan Jun Chang is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research, Materials Chemistry, Molecular Biology and Behavioral Neuroscience, having authored 42 papers that have together received 575 indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (9 papers), Advanced Nanomaterials in Catalysis (7 papers), Carcinogens and Genotoxicity Assessment (6 papers), Graphene and Nanomaterials Applications (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Air Quality and Health Impacts (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (131 citations), Pollution (100 citations), Materials Chemistry (229 citations), Biochemistry (27 citations) and Chemical Health and Safety (2 citations). Yan Jun Chang has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Junkang Wu, Ran Yu, Junfeng Jim Zhang, Kian Fan Chung, Feng Li, Joanna M. Seiffert, Coen Wiegman, Guangcan Zhu, Jinyu ye and Alexandra E. Porter. Their work appears in journals such as Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Journal of Pharmacology and Experimental Therapeutics, Chemosphere, Environmental Science Nano and PLoS ONE.

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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