Yan Chai

3.7k citations
72 papers · 1.7k indexed · 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

70 papers receiving 1.7k citations

Peers

Yan Chai
Comparison fields: 5 of 105
  • Immunology 504
  • Infectious Diseases 367
  • Oncology 444
  • Virology 57
  • Biological Psychiatry 25
Replace Leopoldo Santos‐Argumedo with:
Leopoldo Santos‐Argumedo Mexico
Eiji Umemoto Japan
Andrea Amalfitano United States
Duane R. Wesemann United States
Carmen Sánchez‐Torres Mexico
Kazuyuki Uchida Japan
William T. Lee United States
Richard A. Colvin United States
Sha Li China
Patrick Caplazi United States
Yan Chai relative to Leopoldo Santos‐Argumedo Mexico Leopoldo Santos‐Argumedo's profile →
Citations per field
00.5×
Leopoldo Santos‐Argumedo · 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 2017195
2 2019102
3 201799
4 201769
5 202066
6 201755
7 202253
8 202052
9 202350
10 202345
11 201742
12 202340
13 201638
14 202036
15 201735
16 202235
17 201934
18 201834
19 202232
20 202231

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 1.7k 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), Viral Infections and Immunology Research (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), vaccines and immunoinformatics approaches (6 papers) and Mosquito-borne diseases and control (6 papers). The work is most often cited by research in Immunology (504 citations), Infectious Diseases (367 citations), Oncology (444 citations), Virology (57 citations) and Biological Psychiatry (25 citations). Yan Chai has collaborated with scholars based in China, Czechia and Macao. Frequent co-authors include George F. Gao, Jianxun Qi, Shuguang Tan, Yi Shi, Jinghua Yan, Hao Song, Jianning Zhang, Xin Chen, Mingming Shi and Zhou Tong. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Nature Communications, Cell Reports 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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