Shi Jiao

3.8k total citations · 4 hit papers
54 papers, 3.0k citations indexed

About

Shi Jiao is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Shi Jiao has authored 54 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 26 papers in Cell Biology and 12 papers in Immunology. Recurrent topics in Shi Jiao's work include Hippo pathway signaling and YAP/TAZ (25 papers), RNA Research and Splicing (7 papers) and Cellular Mechanics and Interactions (5 papers). Shi Jiao is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (25 papers), RNA Research and Splicing (7 papers) and Cellular Mechanics and Interactions (5 papers). Shi Jiao collaborates with scholars based in China, United States and South Korea. Shi Jiao's co-authors include Zhaocai Zhou, Zhubing Shi, Wenjia Wang, Haijun Yu, Bing Feng, Fangyuan Zhou, Yaping Li, Dangge Wang, Yun Zhao and Feng He and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Shi Jiao

54 papers receiving 3.0k citations

Hit Papers

A Peptide Mimicking VGLL4 Function Acts as a YAP Antagoni... 2014 2026 2018 2022 2014 2016 2018 2024 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi Jiao China 26 1.6k 1.0k 735 590 510 54 3.0k
Juliane Winkler Germany 15 1.8k 1.1× 633 0.6× 369 0.5× 399 0.7× 668 1.3× 20 2.9k
Curtis B. Thompson United States 24 1.3k 0.8× 514 0.5× 430 0.6× 281 0.5× 1.1k 2.2× 51 2.6k
Masanobu Komatsu United States 28 1.7k 1.0× 390 0.4× 457 0.6× 227 0.4× 752 1.5× 66 2.9k
Theerawut Chanmee Thailand 11 879 0.5× 362 0.3× 797 1.1× 271 0.5× 735 1.4× 13 2.1k
Pingwei Xu China 20 1.1k 0.7× 232 0.2× 511 0.7× 451 0.8× 366 0.7× 23 2.1k
Stefanie K. Wculek Spain 18 1.6k 1.0× 435 0.4× 2.8k 3.8× 536 0.9× 1.8k 3.5× 21 4.7k
Santiago Rello‐Varona Spain 20 872 0.5× 336 0.3× 575 0.8× 305 0.5× 614 1.2× 32 2.1k
Oliver M.T. Pearce United Kingdom 23 1.3k 0.8× 304 0.3× 923 1.3× 172 0.3× 623 1.2× 43 2.5k
Nikolaos A. Afratis Greece 16 1.0k 0.7× 824 0.8× 153 0.2× 195 0.3× 367 0.7× 27 2.1k

Countries citing papers authored by Shi Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Shi Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Jiao. A scholar is included among the top collaborators of Shi Jiao 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 Shi Jiao. Shi Jiao 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.
Tang, Yang, Ge‐Min Fang, Hui Zhang, et al.. (2024). A cofactor-induced repressive type of transcription factor condensation can be induced by synthetic peptides to suppress tumorigenesis. The EMBO Journal. 43(22). 5586–5612. 3 indexed citations
2.
Wang, Shilong, et al.. (2024). Modeling human gastric cancers in immunocompetent mice. Cancer Biology and Medicine. 21(7). 1–18. 4 indexed citations
3.
Zhao, Qiudong, Yan Sang, Fei Ye, et al.. (2023). GPNMB + Gal‐3 + hepatic parenchymal cells promote immunosuppression and hepatocellular carcinogenesis. The EMBO Journal. 42(24). e114060–e114060. 8 indexed citations
4.
Jiao, Shi, Chuanchuan Li, Fenghua Guo, et al.. (2023). SUN1/2 controls macrophage polarization via modulating nuclear size and stiffness. Nature Communications. 14(1). 6416–6416. 19 indexed citations
5.
Cao, Zhifa, Liwei An, Yi Han, Shi Jiao, & Zhaocai Zhou. (2023). The Hippo signaling pathway in gastric cancer. Acta Biochimica et Biophysica Sinica. 55(6). 893–903. 15 indexed citations
6.
Lu, Xiaoqing, Liwei An, Guangjian Fan, et al.. (2022). EGFR signaling promotes nuclear translocation of plasma membrane protein TSPAN8 to enhance tumor progression via STAT3-mediated transcription. Cell Research. 32(4). 359–374. 54 indexed citations
7.
Meng, Yan, Qiudong Zhao, Liwei An, et al.. (2021). A TNFR2–hnRNPK Axis Promotes Primary Liver Cancer Development via Activation of YAP Signaling in Hepatic Progenitor Cells. Cancer Research. 81(11). 3036–3050. 74 indexed citations
8.
Zhou, Fengqi, Jing Gao, Yang Tang, et al.. (2021). Engineering Chameleon Prodrug Nanovesicles to Increase Antigen Presentation and Inhibit PD‐L1 Expression for Circumventing Immune Resistance of Cancer. Advanced Materials. 33(43). e2102668–e2102668. 58 indexed citations
9.
Tang, Yang, Ge‐Min Fang, Fenghua Guo, et al.. (2020). Selective Inhibition of STRN3-Containing PP2A Phosphatase Restores Hippo Tumor-Suppressor Activity in Gastric Cancer. Cancer Cell. 38(1). 115–128.e9. 94 indexed citations
10.
Li, Yehua, Jingmin Guan, Wenjia Wang, et al.. (2018). TRAF3-interacting JNK-activating modulator promotes inflammation by stimulating translocation of Toll-like receptor 4 to lipid rafts. Journal of Biological Chemistry. 294(8). 2744–5499. 14 indexed citations
11.
Jiao, Shi, Chuanchuan Li, Hao Qian, et al.. (2017). VGLL4 targets a TCF4–TEAD4 complex to coregulate Wnt and Hippo signalling in colorectal cancer. Nature Communications. 8(1). 14058–14058. 118 indexed citations
12.
Qian, Hao, Shi Jiao, Zhubing Shi, et al.. (2015). A non‐canonical role of the p97 complex in RIG ‐I antiviral signaling. The EMBO Journal. 34(23). 2903–2920. 42 indexed citations
13.
Shi, Zhubing, Zhen Zhang, Zhenzhen Zhang, et al.. (2015). Structural Insights into Mitochondrial Antiviral Signaling Protein (MAVS)-Tumor Necrosis Factor Receptor-associated Factor 6 (TRAF6) Signaling. Journal of Biological Chemistry. 290(44). 26811–26820. 38 indexed citations
14.
Zhang, Zhao, Yanyan Wang, Chuanchuan Li, et al.. (2015). The Transitional Endoplasmic Reticulum ATPase p97 Regulates the Alternative Nuclear Factor NF-κB Signaling via Partial Degradation of the NF-κB Subunit p100. Journal of Biological Chemistry. 290(32). 19558–19568. 22 indexed citations
15.
Liu, Guoguang, Zhubing Shi, Shi Jiao, et al.. (2014). Structure of MST2 SARAH domain provides insights into its interaction with RAPL. Journal of Structural Biology. 185(3). 366–374. 14 indexed citations
16.
Jiao, Shi, Huizhen Wang, Zhubing Shi, et al.. (2014). A Peptide Mimicking VGLL4 Function Acts as a YAP Antagonist Therapy against Gastric Cancer. Cancer Cell. 25(2). 166–180. 505 indexed citations breakdown →
17.
Feng, Miao, Zhanyu Ding, Liang Xu, et al.. (2012). Structural and biochemical studies of RIG-I antiviral signaling. Protein & Cell. 4(2). 142–154. 21 indexed citations
18.
Xue, Jing, Dandan Lv, Shi Jiao, et al.. (2012). pVHL Mediates K63-Linked Ubiquitination of nCLU. PLoS ONE. 7(4). e35848–e35848. 18 indexed citations
19.
Jiao, Shi, Bingci Liu, Ai Gao, et al.. (2008). Benzo(a)pyrene-caused increased G1–S transition requires the activation of c-Jun through p53-dependent PI-3K/Akt/ERK pathway in human embryo lung fibroblasts. Toxicology Letters. 178(3). 167–175. 22 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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