Shi Yao

2.8k total citations · 2 hit papers
94 papers, 1.8k citations indexed

About

Shi Yao is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Shi Yao has authored 94 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 21 papers in Genetics and 16 papers in Cancer Research. Recurrent topics in Shi Yao's work include Genetic Associations and Epidemiology (17 papers), Cancer-related molecular mechanisms research (9 papers) and RNA modifications and cancer (7 papers). Shi Yao is often cited by papers focused on Genetic Associations and Epidemiology (17 papers), Cancer-related molecular mechanisms research (9 papers) and RNA modifications and cancer (7 papers). Shi Yao collaborates with scholars based in China, Sweden and United States. Shi Yao's co-authors include Yan Guo, Li Shi, Xiaolan Liao, Shan‐Shan Dong, Tie‐Lin Yang, Xiaohuan Mu, Hao Zheng, Zijing Zhang, Shunqin Long and Wanyin Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Shi Yao

87 papers receiving 1.8k citations

Hit Papers

The role of PD-1/PD-L1 and application of immune-checkpoi... 2022 2026 2023 2024 2022 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi Yao China 21 830 293 292 279 276 94 1.8k
Banu Gopalan United States 22 914 1.1× 253 0.9× 73 0.3× 162 0.6× 164 0.6× 37 2.0k
Fan Ye China 25 1.4k 1.6× 721 2.5× 184 0.6× 131 0.5× 103 0.4× 114 2.4k
Zhiyong Huang China 27 794 1.0× 344 1.2× 180 0.6× 374 1.3× 452 1.6× 145 2.6k
Shouyu Wang China 24 900 1.1× 304 1.0× 77 0.3× 449 1.6× 201 0.7× 111 1.8k
Alexandre Philips France 22 1.1k 1.3× 369 1.3× 149 0.5× 110 0.4× 414 1.5× 31 2.5k
Pingbo Zhang United States 23 1.1k 1.4× 160 0.5× 139 0.5× 205 0.7× 83 0.3× 47 2.1k
Mauro Patrone Italy 26 948 1.1× 111 0.4× 113 0.4× 111 0.4× 138 0.5× 79 2.1k
Mark F. Seifert United States 30 918 1.1× 317 1.1× 66 0.2× 146 0.5× 509 1.8× 69 2.6k
Giuseppe Belmonte Italy 27 604 0.7× 276 0.9× 64 0.2× 107 0.4× 70 0.3× 67 2.1k
Luis García Spain 31 1.2k 1.5× 263 0.9× 74 0.3× 66 0.2× 253 0.9× 122 2.9k

Countries citing papers authored by Shi Yao

Since Specialization
Citations

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

Fields of papers citing papers by Shi Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Yao. A scholar is included among the top collaborators of Shi Yao 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 Yao. Shi Yao 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.
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Wang, Xin, et al.. (2024). Subclassification of lung adenocarcinoma through comprehensive multi-omics data to benefit survival outcomes. Computational Biology and Chemistry. 112. 108150–108150. 2 indexed citations
4.
Wu, Hao, et al.. (2023). Multi‐tissue transcriptome‐wide association study reveals susceptibility genes and drug targets for insulin resistance‐relevant phenotypes. Diabetes Obesity and Metabolism. 26(1). 135–147. 2 indexed citations
5.
Yao, Shi, et al.. (2023). Analysis of the spatial-temporal distribution characteristics of hepatitis E in Jiangsu province from 2005 to 2020. Frontiers in Public Health. 11. 1225261–1225261. 4 indexed citations
6.
Wu, Hao, Wei Huang, Shi Yao, et al.. (2022). Multitissue Integrative Analysis Identifies Susceptibility Genes for Atopic Dermatitis. Journal of Investigative Dermatology. 143(4). 602–611.e14. 7 indexed citations
7.
Wu, Hao, Yan Guo, Shi Yao, et al.. (2022). Individualized pathway activity algorithm identifies oncogenic pathways in pan-cancer analysis. EBioMedicine. 79. 104014–104014. 10 indexed citations
8.
Yao, Shi, Hao Wu, Tong‐Tong Liu, et al.. (2021). Epigenetic Element-Based Transcriptome-Wide Association Study Identifies Novel Genes for Bipolar Disorder. Schizophrenia Bulletin. 47(6). 1642–1652. 10 indexed citations
9.
Zhang, Kun, Shan‐Shan Dong, Yan Guo, et al.. (2021). Causal Associations Between Blood Lipids and COVID-19 Risk: A Two-Sample Mendelian Randomization Study. Arteriosclerosis Thrombosis and Vascular Biology. 41(11). 2802–2810. 13 indexed citations
10.
Yao, Shi, Juan Yuan, Vilma Rraklli, et al.. (2021). Aberrant splicing in neuroblastoma generates RNA-fusion transcripts and provides vulnerability to spliceosome inhibitors. Nucleic Acids Research. 49(5). 2509–2521. 10 indexed citations
11.
Peuget, Sylvain, Jiawei Zhu, Gema Sanz, et al.. (2020). Thermal Proteome Profiling Identifies Oxidative-Dependent Inhibition of the Transcription of Major Oncogenes as a New Therapeutic Mechanism for Select Anticancer Compounds. Cancer Research. 80(7). 1538–1550. 14 indexed citations
12.
Yao, Shi, et al.. (2020). HANR Enhances Autophagy-Associated Sorafenib Resistance Through miR-29b/ATG9A Axis in Hepatocellular Carcinoma. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Yao, Shi & Hao Sun. (2020). Down-regulation of lncRNA LINC00152 Suppresses Gastric Cancer Cell Migration and Invasion Through Inhibition of the ERK/MAPK Signaling Pathway. SHILAP Revista de lepidopterología. 2 indexed citations
14.
S, Gao, et al.. (2019). Enhanced transdermal delivery of lornoxicam by nanostructured lipid carrier gels modified with polyarginine peptide for treatment of carrageenan-induced rat paw edema. SHILAP Revista de lepidopterología. 3 indexed citations
15.
Yao, Shi, et al.. (2019). LncRNA CASC15 Functions As An Unfavorable Predictor Of Ovarian Cancer Prognosis And Inhibits Tumor Progression Through Regulation Of miR-221/ARID1A Axis. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Luo, Jindan, Yinan Li, Wei Zheng, et al.. (2019). Characterization of a Prostate- and Prostate Cancer-Specific Circular RNA Encoded by the Androgen Receptor Gene. Molecular Therapy — Nucleic Acids. 18. 916–926. 31 indexed citations
17.
Xu, Xiaomeng, Shuang Li, Shi Yao, et al.. (2018). Hydrogen sulfide downregulates colonic afferent sensitivity by a nitric oxide synthase‐dependent mechanism in mice. Neurogastroenterology & Motility. 31(1). e13471–e13471. 4 indexed citations
18.
Yao, Shi, et al.. (2015). Microvascular invasion in hepatocellular carcinoma overexpression promotes cell proliferation and inhibits cell apoptosis of hepatocellular carcinoma via inhibiting miR-199a expression. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Yao, Shi, et al.. (2006). Study on discharge characteristics of wire-plate pulse corona reactor. Journal of Zhejiang University(Engineering Science). 2 indexed citations
20.
Yao, Shi. (1984). EFFECT OF GOSSYPOL ON ADENYLATE CYCLASE, cAMP, PROSTAGLANDINS AND TESTOSTERONE OF INTERSTITIAL CELLS OF RAT IN VITRO. 科学通报(英文版). 2 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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