Chan Yang

433 citations
34 papers · 278 · h-index 10

Impact in

Papers in

Chan Yang

32 papers receiving 267 citations

Peers

Chan Yang
Comparison fields: 5 of 78
  • Oral Surgery 38
  • Endocrine and Autonomic Systems 25
  • Aging 7
  • Reproductive Medicine 29
  • Health, Toxicology and Mutagenesis 28
Replace A Pélissier with:
A Pélissier France
Liliana Matos Portugal
Aki Nakamura Japan
Sérgio Alexandre Alcântara dos Santos Brazil
Erdoğan Unur Türkiye
Jianyong Cheng China
Juan Carlos Solís‐S Mexico
Manal Mustafa Sweden
Miaoxin Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Chan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201234
2 202133
3 202428
4 202320
5 202317
6 202016
7 202114
8 202211
9 202111
10 20229
11 20238
12 20198
13
[Analysis on dental uncooperative behaviors of the first-visit children in clinic].
20118
14 20237
15 20237
16
[Investigation of root and canal morphology of human primary mandibular second molar by cone-beam CT].
20137
17 20236
18 20206
19 19955
20 19954

About Chan Yang

Chan Yang is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 278 indexed citations. Recurring topics across this work include Ovarian function and disorders (3 papers), Reproductive Biology and Fertility (3 papers), interferon and immune responses (2 papers), Autophagy in Disease and Therapy (2 papers), Cancer-related molecular mechanisms research (2 papers), Advanced Glycation End Products research (2 papers), Traditional Chinese Medicine Analysis (2 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Oral Surgery (38 citations), Endocrine and Autonomic Systems (25 citations), Aging (7 citations), Reproductive Medicine (29 citations) and Health, Toxicology and Mutagenesis (28 citations). Chan Yang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jing Zou, Ran Yang, Hanyu Liu, Xiang Li, Changjiu He, Yuan Liu, Yong Hu, Xueru Wang, Hong Gao and Qinghua Liu. Their work appears in journals such as Biomedicine & Pharmacotherapy, Acta Pharmaceutica Sinica B, Medicine, Journal of Environmental Health Science and Engineering and Frontiers in Oncology.

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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