Chinglai Yang

2.7k citations
46 papers · 2.2k · h-index 26

Impact in

Papers in

    • Influenza Virus Research Studies 12
    • Virology and Viral Diseases 6
    • HIV Research and Treatment 15
    • Rabies epidemiology and control 5

Chinglai Yang

46 papers receiving 2.1k citations

Peers

Chinglai Yang
Comparison fields: 5 of 101
  • Virology 393
  • Pharmaceutical Science 352
  • Infectious Diseases 809
  • Epidemiology 954
  • Agronomy and Crop Science 262
Replace Maria E. Baca‐Estrada with:
Maria E. Baca‐Estrada Canada
David C. Flyer United States
Ellen F. Fynan United States
Michele A. Kutzler United States
Hansi Dean United States
Kenji Hamajima Japan
Hanné Andersen United States
Barbara C. Baudner Italy
James T. Fuller United States
Frédéric Clément Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Chinglai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chinglai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006235
2 2009180
3 2007138
4 2012131
5 2016105
6 201587
7 201186
8 200686
9 201282
10 200880
11 201072
12 202162
13 200258
14 201451
15 200547
16 200447
17 201045
18 201441
19 201140
20 200937

About Chinglai Yang

Chinglai Yang is a scholar working on Epidemiology, Virology, Infectious Diseases, Immunology and Molecular Biology, having authored 46 papers that have together received 2.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), Viral Infections and Outbreaks Research (13 papers), Influenza Virus Research Studies (12 papers), Viral Infections and Vectors (10 papers), Immune Cell Function and Interaction (9 papers), Virology and Viral Diseases (6 papers), Immunotherapy and Immune Responses (6 papers) and Rabies epidemiology and control (5 papers). The work is most often cited by research in Virology (393 citations), Pharmaceutical Science (352 citations), Infectious Diseases (809 citations), Epidemiology (954 citations) and Agronomy and Crop Science (262 citations). Chinglai Yang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Richard W. Compans, Zhigao Bu, Zhiyuan Wen, Ling Ye, Mark R. Prausnitz, Hualan Chen, Ling Ye, Jinying Ge, Xijun Wang and Ke Dong. Their work appears in journals such as Journal of Virology, Virology, PLoS ONE, The Journal of Infectious Diseases and Proceedings of the National Academy of Sciences.

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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