Yan Chai

3.7k total citations
72 papers, 1.7k citations indexed

About

Yan Chai is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Yan Chai has authored 72 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 26 papers in Molecular Biology and 17 papers in Infectious Diseases. Recurrent topics in Yan Chai's work include Immunotherapy and Immune Responses (16 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and T-cell and B-cell Immunology (8 papers). Yan Chai is often cited by papers focused on Immunotherapy and Immune Responses (16 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and T-cell and B-cell Immunology (8 papers). Yan Chai collaborates with scholars based in China, Czechia and United States. Yan Chai's co-authors include George F. Gao, Jianxun Qi, Shuguang Tan, Yi Shi, Hao Song, Jinghua Yan, Jianning Zhang, Xin Chen, Zhou Tong and Mingming Shi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yan Chai

70 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yan Chai China 26 560 504 444 367 283 72 1.7k
Heuiran Lee South Korea 26 1.0k 1.9× 341 0.7× 628 1.4× 403 1.1× 1.1k 3.9× 108 2.7k
Yanhua Du China 26 846 1.5× 215 0.4× 165 0.4× 808 2.2× 151 0.5× 82 2.2k
Leopoldo Santos‐Argumedo Mexico 27 692 1.2× 1.3k 2.6× 303 0.7× 293 0.8× 312 1.1× 129 3.0k
Duane R. Wesemann United States 27 1.6k 2.8× 990 2.0× 530 1.2× 657 1.8× 187 0.7× 52 2.9k
William A. McEwan United Kingdom 26 1.5k 2.6× 1.1k 2.1× 248 0.6× 568 1.5× 463 1.6× 53 3.2k
Carmen Sánchez‐Torres Mexico 28 614 1.1× 1.7k 3.3× 333 0.8× 234 0.6× 304 1.1× 63 2.7k
Bruce D. Freedman United States 36 1.1k 2.0× 1.6k 3.3× 428 1.0× 423 1.2× 348 1.2× 71 3.4k
Stefanie Czub Canada 25 947 1.7× 430 0.9× 192 0.4× 481 1.3× 486 1.7× 73 2.4k
Christian Schwerk Germany 29 1.2k 2.1× 408 0.8× 188 0.4× 275 0.7× 255 0.9× 82 2.6k
Esther Wilk Germany 20 426 0.8× 586 1.2× 174 0.4× 190 0.5× 385 1.4× 37 1.5k

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-authorship network of co-authors of Yan Chai

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Chai. A scholar is included among the top collaborators of Yan Chai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yan Chai. Yan Chai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Xian, et al.. (2025). Neutrophils-astrocyte interactions in central nervous system inflammation. Cell Death and Disease. 16(1). 643–643. 2 indexed citations
2.
Chang, Zhen, Junqing Sun, Gen Zhang, et al.. (2024). Bispecific antibodies targeting two glycoproteins on SFTSV exhibit synergistic neutralization and protection in a mouse model. Proceedings of the National Academy of Sciences. 121(24). 12 indexed citations
3.
Zhao, Runchu, Lili Wu, Junqing Sun, et al.. (2024). Two noncompeting human neutralizing antibodies targeting MPXV B6 show protective effects against orthopoxvirus infections. Nature Communications. 15(1). 4660–4660. 20 indexed citations
4.
Zhang, Jianing, Can Yue, Lin Yin, et al.. (2024). Uncommon P1 Anchor-featured Viral T Cell Epitope Preference within HLA-A*2601 and HLA-A*0101 Individuals. ImmunoHorizons. 8(6). 415–430. 2 indexed citations
5.
Li, Changyao, Qi Peng, Ruchao Peng, et al.. (2024). African swine fever virus A137R assembles into a dodecahedron cage. Journal of Virology. 98(3). e0153623–e0153623. 4 indexed citations
6.
Niu, Sheng, Zhennan Zhao, Zhimin Liu, et al.. (2024). Structural basis and analysis of hamster ACE2 binding to different SARS-CoV-2 spike RBDs. Journal of Virology. 98(3). e0115723–e0115723. 4 indexed citations
7.
Chen, Yuan, Min Jiang, Jie Wang, et al.. (2023). KRAS G12V neoantigen specific T cell receptor for adoptive T cell therapy against tumors. Nature Communications. 14(1). 6389–6389. 50 indexed citations
8.
Zheng, Yuxuan, Zhengrong Gao, Sheng Liu, et al.. (2023). Dosing interval regimen shapes potency and breadth of antibody repertoire after vaccination of SARS-CoV-2 RBD protein subunit vaccine. Cell Discovery. 9(1). 79–79. 5 indexed citations
9.
Li, Ying, Zhennan Zhao, Sheng Liu, et al.. (2023). Structural basis of Semliki Forest virus entry using the very-low-density lipoprotein receptor. 1(2). 124–136. 5 indexed citations
10.
Li, Ling‐Hui, Yan Chai, Weiyu Peng, et al.. (2022). Structural and inhibitor sensitivity analysis of influenza B–like viral neuraminidases derived from Asiatic toad and spiny eel. Proceedings of the National Academy of Sciences. 119(42). e2210724119–e2210724119. 2 indexed citations
11.
Ma, Keke, Yan Chai, Shuguang Tan, et al.. (2022). Molecular Basis for the Recognition of HIV Nef138-8 Epitope by a Pair of Human Public T Cell Receptors. The Journal of Immunology. 209(9). 1652–1661. 4 indexed citations
12.
Wang, Pengyan, Can Yue, Kefang Liu, et al.. (2021). Peptide Presentations of Marsupial MHC Class I Visualize Immune Features of Lower Mammals Paralleled with Bats. The Journal of Immunology. 207(8). 2167–2178. 5 indexed citations
13.
Dai, Lianpan, Kun Xu, Jinhe Li, et al.. (2021). Protective Zika vaccines engineered to eliminate enhancement of dengue infection via immunodominance switch. Nature Immunology. 22(8). 958–968. 30 indexed citations
14.
Su, Chao, Lili Wu, Yan Chai, et al.. (2020). Molecular basis of EphA2 recognition by gHgL from gammaherpesviruses. Nature Communications. 11(1). 5964–5964. 26 indexed citations
15.
Liu, Kefang, Shuguang Tan, Wanjun Jin, et al.. (2020). N‐glycosylation of PD‐1 promotes binding of camrelizumab. EMBO Reports. 21(12). e51444–e51444. 66 indexed citations
16.
Peng, Ruchao, Hao Song, Zhou Tong, et al.. (2020). Molecular basis of Coxsackievirus A10 entry using the two-in-one attachment and uncoating receptor KRM1. Proceedings of the National Academy of Sciences. 117(31). 18711–18718. 23 indexed citations
17.
Liu, Ruili, Yeping Sun, Yan Chai, et al.. (2020). The structural basis of African swine fever virus pA104R binding to DNA and its inhibition by stilbene derivatives. Proceedings of the National Academy of Sciences. 117(20). 11000–11009. 36 indexed citations
18.
Li, Changyao, Yan Chai, Hao Song, et al.. (2019). Crystal Structure of African Swine Fever Virus dUTPase Reveals a Potential Drug Target. mBio. 10(5). 30 indexed citations
19.
Lü, Dan, Kefang Liu, Di Zhang, et al.. (2019). Peptide presentation by bat MHC class I provides new insight into the antiviral immunity of bats. PLoS Biology. 17(9). e3000436–e3000436. 25 indexed citations
20.
Song, Hao, Haiyuan Wang, Yan Chai, et al.. (2017). The crystal structure of Zika virus NS 5 reveals conserved drug targets. The EMBO Journal. 36(7). 919–933. 99 indexed citations

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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