Yingshi Chen

1.6k total citations
19 papers, 282 citations indexed

About

Yingshi Chen is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Yingshi Chen has authored 19 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Yingshi Chen's work include Immune Cell Function and Interaction (6 papers), Photonic Crystals and Applications (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Yingshi Chen is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Photonic Crystals and Applications (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Yingshi Chen collaborates with scholars based in China, United States and Germany. Yingshi Chen's co-authors include Qing Liu, Jinfeng Zhu, Naixing Feng, Yinong Xie, Yiwen Zhang, Hui Zhang, Yingtong Lin, Kang Wu, Fei Yu and Linghua Li and has published in prestigious journals such as The Journal of Immunology, Cancer Research and Nanoscale.

In The Last Decade

Yingshi Chen

16 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingshi Chen China 8 71 67 65 64 63 19 282
Xianyi Cao China 9 58 0.8× 106 1.6× 15 0.2× 173 2.7× 12 0.2× 23 548
Rongyang Xu Japan 10 10 0.1× 45 0.7× 23 0.4× 108 1.7× 171 2.7× 26 358
Xiyuan Cao China 10 7 0.1× 125 1.9× 15 0.2× 65 1.0× 40 0.6× 31 287
Qindong Zhang China 6 136 1.9× 98 1.5× 50 0.8× 33 0.5× 5 0.1× 18 276
Yongsung Kim South Korea 8 15 0.2× 67 1.0× 8 0.1× 68 1.1× 63 1.0× 12 348
Meng Huang China 11 73 1.0× 90 1.3× 8 0.1× 202 3.2× 13 0.2× 34 416
Young Won Kim South Korea 12 72 1.0× 104 1.6× 23 0.4× 105 1.6× 10 0.2× 19 433
Deb Chatterjee United States 10 23 0.3× 69 1.0× 86 1.3× 235 3.7× 22 0.3× 77 451
Hongmei Xu China 10 11 0.2× 224 3.3× 56 0.9× 58 0.9× 25 0.4× 42 428

Countries citing papers authored by Yingshi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yingshi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingshi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yingshi Chen. A scholar is included among the top collaborators of Yingshi 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 Yingshi Chen. Yingshi Chen 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
2.
Yu, Fei, Yingshi Chen, Lingling Liu, et al.. (2024). Generation of a new therapeutic d-peptide that induces the differentiation of acute myeloid leukemia cells through A TLR-2 signaling pathway. Cell Death Discovery. 10(1). 51–51. 5 indexed citations
3.
Chen, Yingshi, et al.. (2024). 235 Defining the role of TCF1 in CAR T cell memory and persistence. Regular and Young Investigator Award Abstracts. A270–A270.
4.
Feng, Naixing, Yingshi Chen, Binbin Hong, & Zhixiang Huang. (2023). A Deep Learning Method for Predicting Low-Cost and High-Accuracy Designing of Anticipatory Layered Nanostructures. IEEE Transactions on Microwave Theory and Techniques. 71(8). 3294–3302. 1 indexed citations
5.
Chen, Yingshi, et al.. (2023). Optimisation process of walnut protein hydrolysed as an antioxidant candidate. Journal of Food Measurement & Characterization. 17(6). 5845–5855. 6 indexed citations
6.
Chen, Yingshi, Shumei Yan, Likai Tan, et al.. (2022). Dopamine Signaling Promotes Tissue-Resident Memory Differentiation of CD8+ T Cells and Antitumor Immunity. Cancer Research. 82(17). 3130–3142. 24 indexed citations
7.
Cai, Yijun, et al.. (2022). Inverse design of anisotropic and multi-resonant absorbers based on black phosphorus via residual neural network. Journal of Optics. 24(5). 54010–54010. 1 indexed citations
8.
Zhou, Yuanguo, et al.. (2022). An improved all-optical diffractive deep neural network with less parameters for gesture recognition. Journal of Visual Communication and Image Representation. 90. 103688–103688. 6 indexed citations
9.
Shen, Jiaqing, et al.. (2022). Real‐Time On‐Demand Design of Circuit‐Analog Plasmonic Stack Metamaterials by Divide‐and‐Conquer Deep Learning. Laser & Photonics Review. 17(3). 20 indexed citations
10.
Huang, Xiaoyuan, Xuanxuan Nian, Jiayou Zhang, et al.. (2021). Safety and immunogenicity of a quadrivalent influenza vaccine in adults aged 60 years or above: a phase III randomized controlled clinical study. Human Vaccines & Immunotherapeutics. 18(1). 1–9. 4 indexed citations
11.
Zhang, Yiwen, Weiwei Liu, Shumei Yan, et al.. (2021). Amino acids and RagD potentiate mTORC1 activation in CD8+ T cells to confer antitumor immunity. Journal for ImmunoTherapy of Cancer. 9(4). e002137–e002137. 19 indexed citations
12.
Peng, Zhilin, Yiwen Zhang, Xiancai Ma, et al.. (2021). Brd4 Regulates the Homeostasis of CD8+ T-Lymphocytes and Their Proliferation in Response to Antigen Stimulation. Frontiers in Immunology. 12. 728082–728082. 5 indexed citations
13.
Chen, Yingshi, Yiwen Zhang, Siqi Chen, et al.. (2021). Non‐Steroidal Anti‐Inflammatory Drugs (NSAIDs) sensitize melanoma cells to MEK inhibition and inhibit metastasis and relapse by inducing degradation of AXL. Pigment Cell & Melanoma Research. 35(2). 238–251. 7 indexed citations
14.
Zhang, Yiwen, Yingshi Chen, Rong Ma, et al.. (2020). UHRF1 Controls Thymocyte Fate Decisions through the Epigenetic Regulation of EGR1 Expression. The Journal of Immunology. 204(12). 3248–3261. 9 indexed citations
15.
Chen, Yingshi, Jinfeng Zhu, Yinong Xie, Naixing Feng, & Qing Liu. (2019). Smart inverse design of graphene-based photonic metamaterials by an adaptive artificial neural network. Nanoscale. 11(19). 9749–9755. 97 indexed citations
16.
Chen, Yingshi, Fei Yu, Jingliang Chen, et al.. (2018). Adoptive Transfer of Interleukin-21-stimulated Human CD8+ T Memory Stem Cells Efficiently Inhibits Tumor Growth. Journal of Immunotherapy. 41(6). 274–283. 35 indexed citations
17.
Zhang, Yiwen, Yingshi Chen, Jun Liu, et al.. (2017). A Cellular MicroRNA Facilitates Regulatory T Lymphocyte Development by Targeting the FOXP3 Promoter TATA-Box Motif. The Journal of Immunology. 200(3). 1053–1063. 33 indexed citations
18.
Zhang, Yiwen, Yingshi Chen, Lishi Su, et al.. (2016). Efficient generation of antigen-specific CTLs by the BAFF-activated human B Lymphocytes as APCs: a novel approach for immunotherapy. Oncotarget. 7(47). 77732–77748. 10 indexed citations
19.
Chen, Yingshi. (1988). Temperamentology in ancient Chinese written records. Musicology Australia. 11(1). 44–64.

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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