Yan Shi

11.6k total citations · 3 hit papers
120 papers, 7.3k citations indexed

About

Yan Shi is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Yan Shi has authored 120 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 53 papers in Immunology and 13 papers in Surgery. Recurrent topics in Yan Shi's work include Immunotherapy and Immune Responses (25 papers), Immune Cell Function and Interaction (23 papers) and T-cell and B-cell Immunology (17 papers). Yan Shi is often cited by papers focused on Immunotherapy and Immune Responses (25 papers), Immune Cell Function and Interaction (23 papers) and T-cell and B-cell Immunology (17 papers). Yan Shi collaborates with scholars based in China, Canada and United States. Yan Shi's co-authors include Kenneth L. Rock, James Evans, Sheng Ding, Hongkui Deng, Wei Jiang, Heung Sik Hahm, Hans R. Schöler, Caroline Desponts, Jeong Tae and Gilbert Ng and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

Yan Shi

116 papers receiving 7.1k citations

Hit Papers

Molecular identification of a danger signal that alerts t... 2003 2026 2010 2018 2003 2008 2012 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Shi China 37 3.8k 2.1k 1.5k 910 650 120 7.3k
Edward M. Conway Canada 50 2.8k 0.7× 3.0k 1.4× 877 0.6× 1.0k 1.1× 1.0k 1.6× 143 9.7k
Grietje Molema Netherlands 56 4.9k 1.3× 1.6k 0.8× 1.0k 0.7× 469 0.5× 1.2k 1.8× 229 10.3k
Huanwei Huang China 28 5.9k 1.6× 2.5k 1.2× 615 0.4× 742 0.8× 681 1.0× 51 8.1k
Shun’ichiro Taniguchi Japan 48 4.6k 1.2× 1.9k 0.9× 883 0.6× 300 0.3× 464 0.7× 177 7.5k
Yue Zhao China 25 8.2k 2.2× 4.1k 1.9× 897 0.6× 1.2k 1.3× 1.1k 1.6× 88 10.5k
Gaby Palmer Switzerland 45 2.3k 0.6× 3.7k 1.7× 1.3k 0.9× 355 0.4× 568 0.9× 107 7.2k
Tanya N. Mayadas United States 52 2.2k 0.6× 4.6k 2.2× 636 0.4× 966 1.1× 848 1.3× 80 8.9k
Hajime Kono Japan 24 5.9k 1.6× 5.0k 2.4× 1.4k 1.0× 973 1.1× 1.8k 2.7× 60 10.7k
Tao Cai China 33 6.8k 1.8× 2.4k 1.1× 710 0.5× 673 0.7× 2.0k 3.1× 56 10.6k
Anthony M. Jevnikar Canada 50 2.4k 0.6× 3.2k 1.5× 1.8k 1.2× 817 0.9× 589 0.9× 209 8.2k

Countries citing papers authored by Yan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Shi. A scholar is included among the top collaborators of Yan Shi 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 Shi. Yan Shi 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.
Zhao, Songsong, Yun Qu, Zhiwei Sun, et al.. (2025). Glioblastoma Cell Lysate and Adjuvant Nanovaccines via Strategic Vaccination Completely Regress Established Murine Tumors. Advanced Healthcare Materials. 14(14). e2500911–e2500911. 1 indexed citations
2.
Meng, Yuan, et al.. (2025). Ecological and Health Risks of Polycyclic Aromatic Hydrocarbons in Particulate Matter in Chinese Cities. GeoHealth. 9(6). e2024GH001126–e2024GH001126. 2 indexed citations
3.
Su, Hui‐Zhen, Xiang Lin, Yan Shi, et al.. (2024). ESCRT-I protein UBAP1 controls ventricular expansion and cortical neurogenesis via modulating adherens junctions of radial glial cells. Cell Reports. 43(3). 113818–113818. 2 indexed citations
4.
Zhang, Ning, Yan Shi, Han Zhang, et al.. (2023). Correction to: PAH Pollution in Particulate Matter and Risk in Chinese Cities. Exposure and Health. 16(5). 1293–1293. 4 indexed citations
5.
6.
Li, Shixin, Fang Huang, Tie Xia, Yan Shi, & Tongtao Yue. (2023). Phosphatidylinositol 4,5-Bisphosphate Sensing Lipid Raft via Inter-Leaflet Coupling Regulated by Acyl Chain Length of Sphingomyelin. Langmuir. 39(17). 5995–6005. 7 indexed citations
7.
Xu, Ying, Dingka Song, Wei Wang, et al.. (2023). Clec12a inhibits MSU-induced immune activation through lipid raft expulsion. Life Science Alliance. 6(9). e202301938–e202301938. 3 indexed citations
8.
Liu, Xin-Yi, Xiaobo Wang, Shuang Geng, et al.. (2023). Sustained store-operated calcium entry utilizing activated chromatin state leads to instability in iTregs. eLife. 12. 2 indexed citations
9.
Xu, Shuo, Xintian Liu, Yan Shi, et al.. (2021). Wedelolactone ameliorates Pseudomonas aeruginosa-induced inflammation and corneal injury by suppressing caspase-4/5/11/GSDMD-mediated non-canonical pyroptosis. Experimental Eye Research. 211. 108750–108750. 34 indexed citations
10.
Liu, Longwei, Hongsheng Yu, Hui Zhao, et al.. (2020). Matrix-transmitted paratensile signaling enables myofibroblast fibroblast cross talk in fibrosis expansion. Proceedings of the National Academy of Sciences. 117(20). 10832–10838. 62 indexed citations
11.
Zhou, Xiaoyu, et al.. (2018). Precise Spatiotemporal Interruption of Regulatory T-cell–Mediated CD8+ T-cell Suppression Leads to Tumor Immunity. Cancer Research. 79(3). 585–597. 19 indexed citations
12.
Li, Yongzhi, et al.. (2018). Risk factors for urinary tract infection in patients with urolithiasis—primary report of a single center cohort. BMC Urology. 18(1). 45–45. 32 indexed citations
13.
Lin, Feng, Zhengpeng Wan, Xiaolin Sun, et al.. (2018). Profiling the origin, dynamics, and function of traction force in B cell activation. Science Signaling. 11(542). 66 indexed citations
14.
Huang, Runqing, Qiong Zhou, Yan Shi, et al.. (2018). Protein A from orange-spotted grouper nervous necrosis virus triggers type I interferon production in fish cell. Fish & Shellfish Immunology. 79. 234–243. 16 indexed citations
15.
Shi, Yan, et al.. (2015). Phenotypic Assays to Identify Agents That Induce Reactive Gliosis: A Counter-Screen to Prioritize Compounds for Preclinical Animal Studies. Assay and Drug Development Technologies. 13(7). 377–388. 8 indexed citations
16.
Hua, Rong & Yan Shi. (2015). Disruption of key GTPase regulators of endocytic recycling compartment does not interfere with soluble antigen crosspresentation in dendritic cells. Cellular and Molecular Immunology. 13(4). 554–556. 3 indexed citations
17.
Tian, Ruhui, Yan Shi, Zijue Zhu, et al.. (2014). AB199. Human germ cell secreting factor Nodal regulates Sertoli cell functions. Translational Andrology and Urology. 3. 199–199. 1 indexed citations
18.
Sharma, Karan, et al.. (2009). A Role of IgM Antibodies in Monosodium Urate Crystal Formation and Associated Adjuvanticity. The Journal of Immunology. 182(4). 1912–1918. 48 indexed citations
19.
Wang, Jianxiong, Aito Ueno, Cheng Lu, et al.. (2008). Ligand-Dependent Induction of Noninflammatory Dendritic Cells by Anergic Invariant NKT Cells Minimizes Autoimmune Inflammation. The Journal of Immunology. 181(4). 2438–2445. 24 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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