Yayi Gao

1.4k total citations
19 papers, 853 citations indexed

About

Yayi Gao is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Yayi Gao has authored 19 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Yayi Gao's work include T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (12 papers) and Immunotherapy and Immune Responses (4 papers). Yayi Gao is often cited by papers focused on T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (12 papers) and Immunotherapy and Immune Responses (4 papers). Yayi Gao collaborates with scholars based in China, United States and Italy. Yayi Gao's co-authors include Bin Li, Andy Tsun, Zuojia Chen, Lin Fang, Zhengju Yao, Zhiyuan Li, Zihou Deng, Zhimei Gao, Jia Nie and Thomas Ciucci and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Immunity.

In The Last Decade

Yayi Gao

19 papers receiving 844 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yayi Gao China 16 560 261 156 70 59 19 853
Nicolas Fasnacht United Kingdom 8 435 0.8× 308 1.2× 117 0.8× 60 0.9× 57 1.0× 10 789
Laura Jardine United Kingdom 13 553 1.0× 242 0.9× 125 0.8× 47 0.7× 41 0.7× 20 861
Elaine Y. Chung United States 9 347 0.6× 187 0.7× 136 0.9× 52 0.7× 69 1.2× 15 616
Aoife Kelly United Kingdom 9 409 0.7× 198 0.8× 136 0.9× 87 1.2× 42 0.7× 14 705
Luigia Pace Italy 16 729 1.3× 238 0.9× 254 1.6× 62 0.9× 39 0.7× 21 997
Yuliya V. Katlinskaya United States 11 421 0.8× 252 1.0× 257 1.6× 87 1.2× 78 1.3× 19 701
Thu Chau Canada 13 565 1.0× 216 0.8× 211 1.4× 50 0.7× 50 0.8× 15 898
Ana Cardoso Portugal 8 584 1.0× 212 0.8× 170 1.1× 54 0.8× 39 0.7× 18 798
Sébastien Calbo France 16 570 1.0× 173 0.7× 88 0.6× 69 1.0× 34 0.6× 32 926
Julie Mussard France 10 504 0.9× 194 0.7× 163 1.0× 54 0.8× 39 0.7× 13 680

Countries citing papers authored by Yayi Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yayi Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yayi Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Yayi Gao. A scholar is included among the top collaborators of Yayi Gao 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 Yayi Gao. Yayi Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Chopp, Laura B., Yayi Gao, Jia Nie, et al.. (2023). Zfp281 and Zfp148 control CD4 + T cell thymic development and T H 2 functions. Science Immunology. 8(89). eadi9066–eadi9066. 4 indexed citations
2.
Gao, Yayi, Mónica Zamisch, Melanie S. Vacchio, et al.. (2022). NuRD complex recruitment to Thpok mediates CD4 + T cell lineage differentiation. Science Immunology. 7(72). eabn5917–eabn5917. 12 indexed citations
3.
Chopp, Laura B., Vishaka Gopalan, Thomas Ciucci, et al.. (2020). An Integrated Epigenomic and Transcriptomic Map of Mouse and Human αβ T Cell Development. Immunity. 53(6). 1182–1201.e8. 50 indexed citations
4.
Ciucci, Thomas, Melanie S. Vacchio, Yayi Gao, et al.. (2019). The Emergence and Functional Fitness of Memory CD4+ T Cells Require the Transcription Factor Thpok. Immunity. 50(1). 91–105.e4. 78 indexed citations
5.
Vacchio, Melanie S., Thomas Ciucci, Yayi Gao, et al.. (2019). A Thpok-Directed Transcriptional Circuitry Promotes Bcl6 and Maf Expression to Orchestrate T Follicular Helper Differentiation. Immunity. 51(3). 465–478.e6. 29 indexed citations
6.
Uhl, Christopher, Yayi Gao, Shaobing Zhou, & Yaling Liu. (2018). The shape effect on polymer nanoparticle transport in a blood vessel. RSC Advances. 8(15). 8089–8100. 30 indexed citations
7.
Wu, Qingsi, Jia Nie, Yayi Gao, et al.. (2015). Reciprocal regulation of RORγt acetylation and function by p300 and HDAC1. Scientific Reports. 5(1). 16355–16355. 46 indexed citations
8.
Ni, Yingmeng, Chen Chen, Huihui Song, et al.. (2015). The Deubiquitinase USP17 Regulates the Stability and Nuclear Function of IL-33. International Journal of Molecular Sciences. 16(11). 27956–27966. 37 indexed citations
9.
Gao, Yayi, Jiayou Tang, Weiqian Chen, et al.. (2015). Inflammation negatively regulates FOXP3 and regulatory T-cell function via DBC1. Proceedings of the National Academy of Sciences. 112(25). E3246–54. 101 indexed citations
10.
Gao, Yayi, Fang Lin, Peng Xu, et al.. (2014). USP22 is a positive regulator of NFATc2 on promoting IL2 expression. FEBS Letters. 588(6). 878–883. 22 indexed citations
11.
Li, Yangyang, Andy Tsun, Zhijun Han, et al.. (2013). 60-kDa Tat-interactive Protein (TIP60) Positively Regulates Th-inducing POK (ThPOK)-mediated Repression of Eomesodermin in Human CD4+ T Cells. Journal of Biological Chemistry. 288(22). 15537–15546. 17 indexed citations
12.
Shan, Zhao, Qinglin Han, Jia Nie, et al.. (2013). Negative Regulation of Interferon-induced Transmembrane Protein 3 by SET7-mediated Lysine Monomethylation. Journal of Biological Chemistry. 288(49). 35093–35103. 43 indexed citations
13.
Zhang, Jing, Chen Chen, Xiaoxia Hou, et al.. (2013). Identification of the E3 Deubiquitinase Ubiquitin-specific Peptidase 21 (USP21) as a Positive Regulator of the Transcription Factor GATA3. Journal of Biological Chemistry. 288(13). 9373–9382. 73 indexed citations
14.
Song, Xiaomin, Bin Li, Yan Xiao, et al.. (2012). Structural and Biological Features of FOXP3 Dimerization Relevant to Regulatory T Cell Function. Cell Reports. 1(6). 665–675. 80 indexed citations
15.
Weng, Leiyun, Xiao Tian, Yayi Gao, et al.. (2012). Different mechanisms of hepatitis C virus RNA polymerase activation by cyclophilin A and B in vitro. Biochimica et Biophysica Acta (BBA) - General Subjects. 1820(12). 1886–1892. 7 indexed citations
16.
Gao, Zhimei, Yayi Gao, Zhiyuan Li, et al.. (2012). Synergy between IL-6 and TGF-β signaling promotes FOXP3 degradation.. PubMed. 5(7). 626–33. 29 indexed citations
17.
Gao, Yayi, Lin Fang, Zhen Gao, et al.. (2011). Molecular mechanisms underlying the regulation and functional plasticity of FOXP3+ regulatory T cells. Genes and Immunity. 13(1). 1–13. 34 indexed citations
18.
Chen, Zuojia, Lin Fang, Yayi Gao, et al.. (2010). FOXP3 and RORγt: Transcriptional regulation of Treg and Th17. International Immunopharmacology. 11(5). 536–542. 126 indexed citations
19.
Zhang, Wei, Kang Wu, Yayi Gao, et al.. (2010). Transforming growth factor beta 1 plays an important role in inducing CD4+CD25+forhead box P3+ regulatory T cells by mast cells. Clinical & Experimental Immunology. 161(3). 490–496. 35 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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