Yan Chai

3.9k citations
72 papers · 1.8k · h-index 26

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Viral Infections and Vectors
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Immunotherapy and Immune Responses 16
    • T-cell and B-cell Immunology 8
    • Immune Cell Function and Interaction 7
    • vaccines and immunoinformatics approaches 6

Yan Chai

71 papers receiving 1.8k citations

Peers

Yan Chai
Comparison fields: 5 of 100
  • Immunology 485
  • Infectious Diseases 367
  • Oncology 420
  • Virology 58
  • Radiology, Nuclear Medicine and Imaging 178
Replace Carmen Sánchez‐Torres with:
Carmen Sánchez‐Torres Mexico
Yanhua Du China
Leopoldo Santos‐Argumedo Mexico
Maya F. Kotturi United States
Wouter Koudstaal Netherlands
Patrick Caplazi United States
Myriam Ermonval France
Heuiran Lee South Korea
Limin Yang China
Bishnu P. De United States
Yan Chai relative to Carmen Sánchez‐Torres Mexico Carmen Sánchez‐Torres's profile →
Citations per field
00.5×3.0×
Carmen Sánchez‐Torres · 1×
Citations per year

Countries citing papers authored by Yan Chai

Since Specialization
Citations

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

Fields of papers citing papers by Yan Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017203
2 2019107
3 2017101
4 201771
5 202069
6 202357
7 201756
8 202255
9 202055
10 202347
11 202346
12 201638
13 202037
14 201936
15 202236
16 201736
17 202235
18 202134
19 202234
20 201834

About Yan Chai

Yan Chai is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Epidemiology and Oncology, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (16 papers), T-cell and B-cell Immunology (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Immune Cell Function and Interaction (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Mosquito-borne diseases and control (6 papers), vaccines and immunoinformatics approaches (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Immunology (485 citations), Infectious Diseases (367 citations), Oncology (420 citations), Virology (58 citations) and Radiology, Nuclear Medicine and Imaging (178 citations). Yan Chai has collaborated with scholars based in China, Czechia and Montenegro. Frequent co-authors include George F. Gao, Jianxun Qi, Shuguang Tan, Hao Song, Jinghua Yan, Yi Shi, Xin Chen, Jianning Zhang, Mingming Shi and Zhou Tong. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Proceedings of the National Academy of Sciences, Nature Communications and Cell Reports.

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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