Yaoyao Shi

1.3k total citations · 1 hit paper
18 papers, 980 citations indexed

About

Yaoyao Shi is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Yaoyao Shi has authored 18 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Yaoyao Shi's work include Immune Cell Function and Interaction (6 papers), Ubiquitin and proteasome pathways (3 papers) and Immune cells in cancer (3 papers). Yaoyao Shi is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Ubiquitin and proteasome pathways (3 papers) and Immune cells in cancer (3 papers). Yaoyao Shi collaborates with scholars based in China, United States and South Korea. Yaoyao Shi's co-authors include Ralph R. Weichselbaum, Wenxin Zheng, Kaiting Yang, Yang‐Xin Fu, Lai Xue, Katharine G. Harris, Wenbin Lin, Kaiyuan Ni, Eugene B. Chang and Yang-Xin Fu and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Yaoyao Shi

17 papers receiving 970 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Intratumoral accumulation of gut microbiota facilitates CD47-based immunotherapy via STING signaling

2020 295 citations Yaoyao Shi, Wenxin Zheng et al. The Journal of Experimental Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaoyao Shi China	12	489	434	392	135	114	18	980
Bhalchandra Mirlekar United States	11	278 0.6×	643 1.5×	458 1.2×	94 0.7×	35 0.3×	15	973
Patrick Raber United States	10	315 0.6×	767 1.8×	403 1.0×	189 1.4×	108 0.9×	15	1.2k
Sergey A. Kaliberov United States	15	368 0.8×	273 0.6×	304 0.8×	123 0.9×	97 0.9×	25	825
Sabina Kaczanowska United States	8	319 0.7×	524 1.2×	361 0.9×	136 1.0×	50 0.4×	11	870
Katharina Wolter Germany	5	678 1.4×	787 1.8×	205 0.5×	145 1.1×	39 0.3×	14	1.3k
Aitian Li China	7	265 0.5×	259 0.6×	328 0.8×	98 0.7×	78 0.7×	11	665
Danielle M. Lussier United States	6	274 0.6×	518 1.2×	534 1.4×	162 1.2×	36 0.3×	8	990
Franz Kratochvill Austria	10	646 1.3×	762 1.8×	339 0.9×	250 1.9×	19 0.2×	11	1.3k
Jason M. Redman United States	16	284 0.6×	583 1.3×	571 1.5×	48 0.4×	38 0.3×	53	1.0k

Countries citing papers authored by Yaoyao Shi

Since Specialization

Citations

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

Fields of papers citing papers by Yaoyao Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoyao Shi

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

All Works

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18 of 18 papers shown

Zhou, Liang, Shuo Li, Yuqi Wu, et al.. (2023). Significant dysregulation of lipid metabolism in patients with papillary thyroid carcinoma after thyroidectomy. Frontiers in Endocrinology. 14. 1223527–1223527.

Shi, Yaoyao, et al.. (2021). Next-Generation Immunotherapies to Improve Anticancer Immunity. Frontiers in Pharmacology. 11. 566401–566401. 13 indexed citations

Xia, Huan, Suijuan Zhong, Yaoyao Shi, et al.. (2021). Thymic Egress Is Regulated by T Cell-Derived LTβR Signal and via Distinct Thymic Portal Endothelial Cells. Frontiers in Immunology. 12. 707404–707404. 4 indexed citations

Gu, Meidi, Xiaofei Zhou, Jee Hyung Sohn, et al.. (2021). NF-κB-inducing kinase maintains T cell metabolic fitness in antitumor immunity. Nature Immunology. 22(2). 193–204. 81 indexed citations

Gu, Meidi, Xiaofei Zhou, Jee Hyung Sohn, et al.. (2021). Author Correction: NF-κB-inducing kinase maintains T cell metabolic fitness in antitumor immunity. Nature Immunology. 22(4). 530–530. 1 indexed citations

Choi, Yeonjoo, Yaoyao Shi, Cara Haymaker, et al.. (2020). T-cell agonists in cancer immunotherapy. Journal for ImmunoTherapy of Cancer. 8(2). e000966–e000966. 89 indexed citations

Shi, Yaoyao, Wenxin Zheng, Kaiting Yang, et al.. (2020). Intratumoral accumulation of gut microbiota facilitates CD47-based immunotherapy via STING signaling. The Journal of Experimental Medicine. 217(5). 295 indexed citations breakdown →

Yang, Rui, Boxi Kang, Bin Chen, et al.. (2019). CDK5RAP3, a UFL1 substrate adaptor, is critical for liver development. Development. 146(2). 49 indexed citations

Li, Fang, Xinxia Zhang, Dongyu Liu, et al.. (2018). Wilms’ tumor 1-associating protein plays an aggressive role in diffuse large B-cell lymphoma and forms a complex with BCL6 via Hsp90. Cell Communication and Signaling. 16(1). 50–50. 54 indexed citations

10.

Xu, Meng, Pu Yang, Dali Han, et al.. (2017). Dendritic Cells but Not Macrophages Sense Tumor Mitochondrial DNA for Cross-priming through Signal Regulatory Protein α Signaling. Immunity. 47(2). 363–373.e5. 241 indexed citations

11.

Wu, Weiwei, et al.. (2017). Epithelial LTβR signaling controls the population size of the progenitors of medullary thymic epithelial cells in neonatal mice. Scientific Reports. 7(1). 44481–44481. 19 indexed citations

12.

Wang, Chun‐Hua, et al.. (2017). Methylation analysis of SHOX2 and RASSF1A in bronchoalveolar lavage fluid for early lung cancer diagnosis. Annals of Diagnostic Pathology. 27. 57–61. 47 indexed citations

13.

Zhou, Yuan, Jing Huang, Xi Yu, et al.. (2017). LITAF is a potential tumor suppressor in pancreatic cancer. Oncotarget. 9(3). 3131–3142. 10 indexed citations

14.

Shi, Yaoyao, Weiwei Wu, Qian Chai, et al.. (2016). LTβR controls thymic portal endothelial cells for haematopoietic progenitor cell homing and T-cell regeneration. Nature Communications. 7(1). 12369–12369. 31 indexed citations

15.

Shi, Yaoyao, Yuanyuan Weng, Friederike Berberich‐Siebelt, et al.. (2016). The feedback loop of LITAF and BCL6 is involved in regulating apoptosis in B cell non-Hodgkin's-lymphoma. Oncotarget. 7(47). 77444–77456. 14 indexed citations

16.

Zhang, Xinxia, Yaoyao Shi, Yuanyuan Weng, et al.. (2014). The Truncate Mutation of Notch2 Enhances Cell Proliferation through Activating the NF-κB Signal Pathway in the Diffuse Large B-Cell Lymphomas. PLoS ONE. 9(10). e108747–e108747. 22 indexed citations

17.

Wang, Jinjie, Yaoyao Shi, Lingfang Wang, et al.. (2014). [Significance of expression and promoter methylation of LITAF gene in B-cell lymphoma].. PubMed. 43(8). 516–21. 1 indexed citations

18.

Shi, Yaoyao & Mingzhao Zhu. (2013). Medullary thymic epithelial cells, the indispensable player in central tolerance. Science China Life Sciences. 56(5). 392–398. 9 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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