Chan Yang

3.4k citations
57 papers · 2.3k · 1 hit paper · h-index 16

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology
    • Animal Virus Infections Studies

Papers in

Chan Yang

55 papers receiving 2.3k citations

Chan Yang's Hit Papers

Structural and functional properties of SARS-CoV-2 spike protein: potential antivirus drug development for COVID-19 2020 · 1.6k citations
1.6k0+2+4Years since publication50010001.5k

Peers

Chan Yang
Comparison fields: 5 of 132
  • Infectious Diseases 1.3k
  • Animal Science and Zoology 154
  • Computational Theory and Mathematics 233
  • Complementary and alternative medicine 82
  • Molecular Biology 656
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Chan Yang relative to Jing Pu China Jing Pu's profile →
Citations per field
00.5×1.5×2.1×
Jing Pu · 1×
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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Structural and functional properties of SARS-CoV-2 spike protein: potential antivirus drug development for COVID-19
Hit paper breakdown →
20201649
2 202071
3 201959
4 202036
5 202235
6 202135
7 202033
8 201831
9 202131
10 202127
11 201724
12 202222
13 202121
14 202019
15 201917
16 201516
17 201616
18 201715
19 201912
20 202310

About Chan Yang

Chan Yang is a scholar working on Infectious Diseases, Immunology, Epidemiology, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 57 papers that have together received 2.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Malaria Research and Control (4 papers), Herpesvirus Infections and Treatments (4 papers), COVID-19 Clinical Research Studies (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), HIV Research and Treatment (3 papers), Viral Infections and Vectors (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Animal Science and Zoology (154 citations), Computational Theory and Mathematics (233 citations), Complementary and alternative medicine (82 citations) and Molecular Biology (656 citations). Chan Yang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shuwen Liu, Wei Xu, Yuan Huang, Xinghui Qiu, Xinfeng Xu, Mei Li, Xiaoyan Pan, Nian Liu, Chen Cheng and Shi Jiang. Their work appears in journals such as Malaria Journal, Acta Pharmacologica Sinica, Metabolic Syndrome and Related Disorders, Viruses and Parasites & Vectors.

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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