Chen Yao

3.9k total citations
75 papers, 2.1k citations indexed

About

Chen Yao is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Chen Yao has authored 75 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Immunology, 31 papers in Molecular Biology and 12 papers in Oncology. Recurrent topics in Chen Yao's work include Immune Cell Function and Interaction (25 papers), T-cell and B-cell Immunology (12 papers) and IL-33, ST2, and ILC Pathways (6 papers). Chen Yao is often cited by papers focused on Immune Cell Function and Interaction (25 papers), T-cell and B-cell Immunology (12 papers) and IL-33, ST2, and ILC Pathways (6 papers). Chen Yao collaborates with scholars based in China, United States and Hong Kong. Chen Yao's co-authors include Daniel H. Kaplan, Christopher N. Honda, Sakeen W. Kashem, Maureen Riedl, Lucy Vulchanova, John J. O’Shea, Han‐Yu Shih, Oliver J. Harrison, Yuka Kanno and Yasmine Belkaid and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Chen Yao

71 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chen Yao China	22	900	586	216	210	194	75	2.1k
Kenta Maruyama Japan	21	561 0.6×	804 1.4×	240 1.1×	213 1.0×	89 0.5×	40	2.1k
Kazuhisa Ouhara Japan	31	493 0.5×	836 1.4×	152 0.7×	275 1.3×	111 0.6×	100	2.7k
Pablo Argüeso United States	35	731 0.8×	1.1k 1.8×	154 0.7×	275 1.3×	347 1.8×	101	4.7k
Xiangyang Tan China	19	1.8k 2.0×	513 0.9×	282 1.3×	378 1.8×	454 2.3×	39	3.0k
Hang‐Rae Kim South Korea	30	933 1.0×	820 1.4×	379 1.8×	155 0.7×	54 0.3×	114	2.8k
Kazuhiko Matsuo Japan	29	1.0k 1.1×	788 1.3×	320 1.5×	187 0.9×	452 2.3×	84	2.6k
Satoshi Kawasaki Japan	35	460 0.5×	808 1.4×	189 0.9×	164 0.8×	164 0.8×	121	3.4k
Daisuke Tsuruta Japan	36	611 0.7×	907 1.5×	286 1.3×	177 0.8×	782 4.0×	235	4.1k
Sandra Spurr-Michaud United States	39	710 0.8×	1.3k 2.1×	149 0.7×	301 1.4×	192 1.0×	64	4.7k
Sebastian Fuchs Germany	27	716 0.8×	571 1.0×	239 1.1×	123 0.6×	67 0.3×	60	1.9k

Countries citing papers authored by Chen Yao

Since Specialization

Citations

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

Fields of papers citing papers by Chen Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Yao

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

All Works

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20 of 20 papers shown

Philips, Rachael L., Colleen M. Lau, Tasha Morrison, et al.. (2025). An activating Stat1 mutant disrupts normal STAT4 innate lymphocyte programs during viral infection. Science Immunology. 10(107). eado5986–eado5986. 1 indexed citations

Chen, Zeyu, et al.. (2025). Regulation of T cell exhaustion and stemness: molecular mechanisms and implications for cancer immunotherapy. Cellular and Molecular Immunology. 23(1). 1–14.

Luo, Ying, Guohua Lou, Andrew DeVilbiss, et al.. (2024). The redox sensor KEAP1 facilitates adaptation of T cells to chronic antigen stimulation by preventing hyperactivation. Science Immunology. 9(101). eadk2954–eadk2954. 14 indexed citations

Ma, Anjun, Ruohan Zhang, Chen Yao, et al.. (2024). Targeting metabolic sensing switch GPR84 on macrophages for cancer immunotherapy. Cancer Immunology Immunotherapy. 73(3). 52–52. 8 indexed citations

Yao, Chen, et al.. (2023). The dual role of regulatory T cells in hepatitis B virus infection and related hepatocellular carcinoma. Immunology. 171(4). 445–463. 15 indexed citations

Lou, Guohua, Xiao-Lu Teng, Haixia Wang, et al.. (2023). FOXP1 and KLF2 reciprocally regulate checkpoints of stem-like to effector transition in CAR T cells. Nature Immunology. 25(1). 117–128. 29 indexed citations

Yao, Chen, Tyrone Dowdy, Wenwen Jin, et al.. (2023). TGF-β uncouples glycolysis and inflammation in macrophages and controls survival during sepsis. Science Signaling. 16(797). eade0385–eade0385. 42 indexed citations

Zhang, Ze, Kaiwen Wang, Xinlei Wang, et al.. (2022). Interpreting the B-cell receptor repertoire with single-cell gene expression using Benisse. Nature Machine Intelligence. 4(6). 596–604. 12 indexed citations

Yao, Chen, Tian Zhang, Tuoqi Wu, & James Brugarolas. (2022). Facts and Hopes for Immunotherapy in Renal Cell Carcinoma. Clinical Cancer Research. 28(23). 5013–5020. 18 indexed citations

10.

Yang, Jianhui, et al.. (2022). Off-label indications of aspirin in gynaecology and obstetrics outpatients at two Chinese tertiary care hospitals: a retrospective cross-sectional study. BMJ Open. 12(2). e050702–e050702. 1 indexed citations

11.

Xin, Gang, Chen Yao, Paytsar Topchyan, et al.. (2021). Targeting PIM1-Mediated Metabolism in Myeloid Suppressor Cells to Treat Cancer. Cancer Immunology Research. 9(4). 454–469. 38 indexed citations

12.

Ran, Maoliang, Hui Luo, Hu Gao, et al.. (2020). miR‐362 knock‐down promotes proliferation and inhibits apoptosis in porcine immature Sertoli cells by targeting the RMI1 gene. Reproduction in Domestic Animals. 55(5). 547–558. 9 indexed citations

13.

Yao, Chen, Ruitu Lyu, Bowen Rong, et al.. (2020). Refined spatial temporal epigenomic profiling reveals intrinsic connection between PRDM9-mediated H3K4me3 and the fate of double-stranded breaks. Cell Research. 30(3). 256–268. 43 indexed citations

14.

Petermann, Franziska, Aleksandra Pękowska, Dragana Janković, et al.. (2019). The Magnitude of IFN-γ Responses Is Fine-Tuned by DNA Architecture and the Non-coding Transcript of Ifng-as1. Molecular Cell. 75(6). 1229–1242.e5. 53 indexed citations

15.

Harrison, Oliver J., Jonathan L. Linehan, Han‐Yu Shih, et al.. (2018). Commensal-specific T cell plasticity promotes rapid tissue adaptation to injury. Science. 363(6422). 220 indexed citations

16.

Yao, Chen, Sandra Zurawski, Juliet Crabtree, et al.. (2015). Skin dendritic cells induce follicular helper T cells and protective humoral immune responses. Journal of Allergy and Clinical Immunology. 136(5). 1387–1397.e7. 46 indexed citations

17.

Huang, Li, et al.. (2015). An Rb1-dependent amplification loop between Ets1 and Zeb1 is evident in thymocyte differentiation and invasive lung adenocarcinoma. BMC Molecular Biology. 16(1). 8–8. 18 indexed citations

18.

Kashem, Sakeen W., Maureen Riedl, Chen Yao, et al.. (2015). Nociceptive Sensory Fibers Drive Interleukin-23 Production from CD301b+ Dermal Dendritic Cells and Drive Protective Cutaneous Immunity. Immunity. 43(4). 830–830.

19.

Peng, Li, Run Zhang, Haitao Sun, et al.. (2012). PKH26 Can Transfer to Host Cells In Vitro and Vivo. Stem Cells and Development. 22(2). 340–344. 64 indexed citations

20.

Yao, Chen, et al.. (2010). [Inhibitive effect of human foamy virus induced IL-24 on cancer cells].. PubMed. 26(2). 121–4.

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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