Chan Yang

3.3k citations
50 papers · 2.0k indexed · 1 hit paper · h-index 15

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

48 papers receiving 2.0k citations

Hit Papers

Structural and functional properties of SARS-CoV-2 spike protein: potential antivirus drug development for COVID-19 2020 · 1.5k citations
1.5k0+2+4Years since publication50010001.5k

Peers

Chan Yang
Comparison fields: 5 of 133
  • Infectious Diseases 1.3k
  • Animal Science and Zoology 142
  • Computational Theory and Mathematics 218
  • Molecular Biology 638
  • Immunology 193
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Citations per field
00.5×1.5×
Yuan Huang · 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 50 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 →
20201501
2 201949
3 202035
4 202135
5 202029
6 202229
7 201828
8 202127
9 202126
10 202119
11 201719
12 202017
13 201916
14 201615
15 201514
16 201713
17 201911
18 20239
19 20209
20 20227

About Chan Yang

Chan Yang is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Epidemiology and Physiology, having authored 50 papers that have together received 2.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Insect Resistance and Genetics (7 papers), Herpesvirus Infections and Treatments (4 papers), Malaria Research and Control (4 papers), Nutrition and Health in Aging (4 papers), Insect and Pesticide Research (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Animal Science and Zoology (142 citations), Computational Theory and Mathematics (218 citations), Molecular Biology (638 citations) and Immunology (193 citations). Chan Yang has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Shuwen Liu, Yuan Huang, Wei Xü, Xinghui Qiu, Mei Li, Xinfeng Xu, Nian Liu, Xiaoyan Pan, Ying Tong and Xiaopeng Zeng. Their work appears in journals such as Malaria Journal, Acta Pharmacologica Sinica, Viruses, Virology Journal and Metabolic Syndrome and Related Disorders.

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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