Shasha Chen

1.8k total citations · 1 hit paper
51 papers, 1.2k citations indexed

About

Shasha Chen is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Shasha Chen has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 21 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Shasha Chen's work include Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (8 papers) and interferon and immune responses (7 papers). Shasha Chen is often cited by papers focused on Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (8 papers) and interferon and immune responses (7 papers). Shasha Chen collaborates with scholars based in China, United States and United Kingdom. Shasha Chen's co-authors include Pinglong Xu, Xin‐Hua Feng, Zhongjun Dong, Shengduo Liu, Zhiyong Liao, Meixiang Yang, Zhongjun Dong, Jian Zou, Jun Qin and Fansen Meng and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Shasha Chen

49 papers receiving 1.1k citations

Hit Papers

A non-canonical cGAS–STING–PERK pathway facilitates the t... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shasha Chen China 19 587 521 156 131 123 51 1.2k
Raphaël Carapito France 20 386 0.7× 363 0.7× 200 1.3× 78 0.6× 71 0.6× 67 1.2k
Daisy I. Picavet Netherlands 19 429 0.7× 272 0.5× 119 0.8× 119 0.9× 88 0.7× 29 1.0k
Benjamin Demarco Switzerland 14 681 1.2× 1.5k 2.8× 79 0.5× 60 0.5× 77 0.6× 21 1.8k
Elena L. Pobezinskaya United States 12 632 1.1× 552 1.1× 171 1.1× 39 0.3× 255 2.1× 22 1.2k
Rafael J. Argüello France 18 716 1.2× 375 0.7× 112 0.7× 81 0.6× 84 0.7× 50 1.2k
Karen A. Fortner United States 21 775 1.3× 757 1.5× 248 1.6× 154 1.2× 152 1.2× 38 1.5k
José Enrique Mejía France 19 450 0.8× 664 1.3× 100 0.6× 135 1.0× 55 0.4× 26 1.5k
Daniel Smrž Czechia 15 491 0.8× 348 0.7× 162 1.0× 47 0.4× 71 0.6× 46 1.1k
Balaji Ganesh United States 18 418 0.7× 293 0.6× 96 0.6× 28 0.2× 91 0.7× 24 1.1k
Kirti V. Sawant United States 15 406 0.7× 222 0.4× 224 1.4× 100 0.8× 36 0.3× 20 836

Countries citing papers authored by Shasha Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shasha Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shasha Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shasha Chen. A scholar is included among the top collaborators of Shasha Chen 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 Shasha Chen. Shasha Chen 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.
Li, Dan, et al.. (2025). Adaptive immune cells antagonize ILC2 homeostasis via SLAMF3 and SLAMF5. Science Advances. 11(2). eadp9894–eadp9894. 3 indexed citations
2.
Luo, Rui, Qing Long, Jianmin Man, et al.. (2025). OsAAI1 ‐OsMADS25 Module Orchestrates Rice Root Morphogenesis Under Osmotic Stress by Coordinating the Auxin Pathway. Plant Cell & Environment.
4.
Chen, Shasha, et al.. (2024). Unraveling the mechanism of quercetin alleviating BHPF-induced apoptosis in epithelioma papulosum cyprini cells: SIRT3-mediated mitophagy. Fish & Shellfish Immunology. 154. 109907–109907. 7 indexed citations
5.
Chen, Shasha, et al.. (2024). A Single-Cell Analysis of the NK-Cell Landscape Reveals That Dietary Restriction Boosts NK-Cell Antitumor Immunity via Eomesodermin. Cancer Immunology Research. 12(11). 1508–1524. 1 indexed citations
6.
Chen, Shasha, et al.. (2024). Dual Activity of Type III PI3K Kinase Vps34 is Critical for NK Cell Development and Senescence. Advanced Science. 11(21). e2309315–e2309315. 6 indexed citations
7.
He, Junming, et al.. (2024). SLAM-family receptors promote resolution of ILC2-mediated inflammation. Nature Communications. 15(1). 5056–5056. 6 indexed citations
8.
Chen, Shasha, Tong Xu, Anqi Xu, et al.. (2023). Quercetin alleviates zearalenone-induced apoptosis and necroptosis of porcine renal epithelial cells by inhibiting CaSR/CaMKII signaling pathway. Food and Chemical Toxicology. 182. 114184–114184. 11 indexed citations
9.
Peng, Lin, Shasha Chen, Hongjin Lin, et al.. (2023). Bisphenol A exposure exacerbates tracheal inflammatory injury in selenium-deficient chickens by regulating the miR-155/TRAF3/ROS pathway. International Journal of Biological Macromolecules. 253(Pt 8). 127501–127501. 6 indexed citations
10.
Zhang, Dan, Yutong Liu, Yezhang Zhu, et al.. (2022). A non-canonical cGAS–STING–PERK pathway facilitates the translational program critical for senescence and organ fibrosis. Nature Cell Biology. 24(5). 766–782. 163 indexed citations breakdown →
11.
Chen, Shasha, Shengduo Liu, Jun‐Xian Wang, et al.. (2020). TBK1-Mediated DRP1 Targeting Confers Nucleic Acid Sensing to Reprogram Mitochondrial Dynamics and Physiology. Molecular Cell. 80(5). 810–827.e7. 42 indexed citations
12.
Chen, Zhuo, et al.. (2020). Akkermansia muciniphila Enhances the Antitumor Effect of Cisplatin in Lewis Lung Cancer Mice. Journal of Immunology Research. 2020(1). 2969287–2969287. 51 indexed citations
13.
Wang, Bin, Yanfang Liang, Xingxing Chai, et al.. (2020). Ectodysplasin A receptor (EDAR) promotes colorectal cancer cell proliferation via regulation of the Wnt/β-catenin signaling pathway. Experimental Cell Research. 395(1). 112170–112170. 21 indexed citations
14.
Chen, Shasha & Zhongjun Dong. (2019). Concomitant deletion of SLAM-family receptors, NKG2D and DNAM-1 reveals gene redundancy of NK cell activating receptors in NK cell development and education. Journal of Leukocyte Biology. 107(4). 561–572. 5 indexed citations
15.
Zhang, Xiaoqian, et al.. (2019). Synergized regulation of NK cell education by NKG2A and specific Ly49 family members. Nature Communications. 10(1). 5010–5010. 48 indexed citations
16.
Chen, Shasha, et al.. (2019). Regulation of MHC class I-independent NK cell education by SLAM family receptors. Advances in immunology. 145. 159–185. 3 indexed citations
17.
Xing, Bing, et al.. (2018). miR-140-5p aggravates hypoxia-induced cell injury via regulating MLK3 in H9c2 cells. Biomedicine & Pharmacotherapy. 103. 1652–1657. 17 indexed citations
18.
Liu, Shengduo, Shasha Chen, Xinran Li, et al.. (2017). Lck/Hck/Fgr-Mediated Tyrosine Phosphorylation Negatively Regulates TBK1 to Restrain Innate Antiviral Responses. Cell Host & Microbe. 21(6). 754–768.e5. 32 indexed citations
19.
Wang, Gaiping, Shasha Chen, Xiaofang Li, et al.. (2016). A preliminary in vivo study of the effects of OPN on rat liver regeneration induced by partial hepatectomy. Molecular Biology Reports. 43(12). 1371–1382. 13 indexed citations
20.
Wang, Gaiping, Xiaofang Li, Shasha Chen, et al.. (2015). Expression profiles uncover the correlation of OPN signaling pathways with rat liver regeneration at cellular level. Cell Biology International. 39(11). 1329–1340. 7 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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