Yingjun Shi

482 total citations
13 papers, 330 citations indexed

About

Yingjun Shi is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Yingjun Shi has authored 13 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Yingjun Shi's work include Mesenchymal stem cell research (3 papers), CAR-T cell therapy research (3 papers) and Immunotherapy and Immune Responses (3 papers). Yingjun Shi is often cited by papers focused on Mesenchymal stem cell research (3 papers), CAR-T cell therapy research (3 papers) and Immunotherapy and Immune Responses (3 papers). Yingjun Shi collaborates with scholars based in China. Yingjun Shi's co-authors include Xiaolong Liu, Youshi Zheng, Naishun Liao, Yingchao Wang, Bixing Zhao, Jingfeng Liu, Yongyi Zeng, Cuilin Zhang, Da Zhang and Huanghao Yang and has published in prestigious journals such as Scientific Reports, Small and Theranostics.

In The Last Decade

Yingjun Shi

11 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingjun Shi China 7 131 113 66 64 53 13 330
Chen‐Yi Lai Japan 8 151 1.2× 135 1.2× 97 1.5× 69 1.1× 40 0.8× 11 385
Shijin Sun China 11 103 0.8× 38 0.3× 39 0.6× 30 0.5× 53 1.0× 20 299
Tomomi Tadokoro Japan 8 200 1.5× 77 0.7× 65 1.0× 82 1.3× 23 0.4× 14 509
Nicolas Mélin Switzerland 8 111 0.8× 59 0.5× 85 1.3× 58 0.9× 18 0.3× 9 300
Fatima Aerts‐Kaya Türkiye 10 137 1.0× 46 0.4× 38 0.6× 17 0.3× 91 1.7× 33 365
Kin Chan Canada 7 183 1.4× 44 0.4× 164 2.5× 55 0.9× 16 0.3× 10 422
Jae Hun Shin United States 9 151 1.2× 123 1.1× 129 2.0× 29 0.5× 14 0.3× 14 342
Alina Zhuravlev Israel 6 95 0.7× 41 0.4× 65 1.0× 46 0.7× 17 0.3× 7 297
Agnieszka Pastuła Germany 8 252 1.9× 63 0.6× 96 1.5× 43 0.7× 20 0.4× 12 425
Fei Fei Gao China 10 106 0.8× 79 0.7× 63 1.0× 27 0.4× 65 1.2× 13 306

Countries citing papers authored by Yingjun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yingjun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingjun Shi

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

All Works

13 of 13 papers shown
1.
Wang, Chenyi, Yingjun Shi, Da Zhang, et al.. (2025). Generalization of neoantigen-based tumor vaccine by delivering peptide-MHC complex via oncolytic virus. EMBO Molecular Medicine. 17(5). 1118–1152. 1 indexed citations
5.
Shi, Yingjun, et al.. (2022). Traffic Sign Instances Segmentation Using Aliased Residual Structure and Adaptive Focus Localizer. 2022 26th International Conference on Pattern Recognition (ICPR). 3676–3685. 2 indexed citations
6.
Zhang, Cuilin, Yingjun Shi, Lingjie Wu, et al.. (2022). Far-Red Light Triggered Production of Bispecific T Cell Engagers (BiTEs) from Engineered Cells for Antitumor Application. ACS Synthetic Biology. 11(2). 888–899. 1 indexed citations
7.
Li, Zhenli, Liman Qiu, Xiuqing Dong, et al.. (2022). Personalized neoantigen vaccine combined with PD-1 blockade increases CD8+ tissue-resident memory T-cell infiltration in preclinical hepatocellular carcinoma models. Journal for ImmunoTherapy of Cancer. 10(9). e004389–e004389. 54 indexed citations
8.
Zheng, Youshi, Yingjun Shi, Zhaowei Chen, et al.. (2021). Cytosolic Delivery of Thiolated Mn‐cGAMP Nanovaccine to Enhance the Antitumor Immune Responses. Small. 17(17). e2006970–e2006970. 60 indexed citations
9.
Zheng, Youshi, Yingjun Shi, Zhaowei Chen, et al.. (2021). Cytosolic Delivery of Thiolated Mn‐cGAMP Nanovaccine to Enhance the Antitumor Immune Responses. Small. 17(19). 12 indexed citations
10.
Liao, Naishun, Yingjun Shi, Yingchao Wang, et al.. (2020). Antioxidant preconditioning improves therapeutic outcomes of adipose tissue-derived mesenchymal stem cells through enhancing intrahepatic engraftment efficiency in a mouse liver fibrosis model. Stem Cell Research & Therapy. 11(1). 237–237. 34 indexed citations
11.
Zhao, Bixing, Yingchao Wang, Kun Ke, et al.. (2019). Inflammatory Micro-environment Contributes to Stemness Properties and Metastatic Potential of HCC via the NF-κB/miR-497/SALL4 Axis. Molecular Therapy — Oncolytics. 15. 79–90. 31 indexed citations
12.
Zhao, Bixing, Yingchao Wang, Xiaoyuan Zheng, et al.. (2019). An Optogenetic Controllable T Cell System for Hepatocellular Carcinoma Immunotherapy. Theranostics. 9(7). 1837–1850. 38 indexed citations
13.
Liao, Naishun, Yingjun Shi, Cuilin Zhang, et al.. (2019). Antioxidants inhibit cell senescence and preserve stemness of adipose tissue-derived stem cells by reducing ROS generation during long-term in vitro expansion. Stem Cell Research & Therapy. 10(1). 306–306. 93 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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