Yutao Wei

1.2k total citations
40 papers, 847 citations indexed

About

Yutao Wei is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Yutao Wei has authored 40 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Surgery and 11 papers in Epidemiology. Recurrent topics in Yutao Wei's work include MicroRNA in disease regulation (8 papers), Cardiovascular Disease and Adiposity (7 papers) and RNA modifications and cancer (7 papers). Yutao Wei is often cited by papers focused on MicroRNA in disease regulation (8 papers), Cardiovascular Disease and Adiposity (7 papers) and RNA modifications and cancer (7 papers). Yutao Wei collaborates with scholars based in China, United States and Australia. Yutao Wei's co-authors include Arnold C. Paulino, Bin S. Teh, Thanh Xuân Nguyễn, Snehal Desai, Yunzhao Chen, Jianming Hu, Matthew Koshy, Xiaobin Cui, Wenkai Yang and Xianguo Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Yutao Wei

38 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yutao Wei China 18 312 220 218 212 130 40 847
Clemens L. Bockmeyer Germany 16 483 1.5× 372 1.7× 135 0.6× 245 1.2× 163 1.3× 32 1.1k
Paraskevi Xekouki United States 21 398 1.3× 158 0.7× 618 2.8× 357 1.7× 111 0.9× 64 1.4k
Benjamin J. Dunmore United Kingdom 18 526 1.7× 584 2.7× 151 0.7× 184 0.9× 257 2.0× 31 1.3k
Marianne S. Elston New Zealand 18 213 0.7× 104 0.5× 322 1.5× 121 0.6× 45 0.3× 59 972
Motohiko Aiba Japan 20 205 0.7× 168 0.8× 599 2.7× 241 1.1× 71 0.5× 83 1.2k
Charalampos Lyssikatos United States 16 140 0.4× 121 0.6× 380 1.7× 121 0.6× 183 1.4× 48 766
Laure Cazabat France 20 237 0.8× 190 0.9× 704 3.2× 155 0.7× 342 2.6× 31 1.4k
Julie A. Mund United States 15 335 1.1× 164 0.7× 107 0.5× 79 0.4× 57 0.4× 30 688
Vincent Fontaine France 15 335 1.1× 521 2.4× 379 1.7× 170 0.8× 373 2.9× 26 1.3k
Robert C. Bauer United States 18 507 1.6× 186 0.8× 344 1.6× 142 0.7× 187 1.4× 47 1.1k

Countries citing papers authored by Yutao Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yutao Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutao Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Yutao Wei. A scholar is included among the top collaborators of Yutao Wei 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 Yutao Wei. Yutao Wei 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.
Wei, Yutao, et al.. (2025). Augmented graph information bottleneck with type-aware periodicity heterogeneity for explainable crime prediction. Information Processing & Management. 62(6). 104227–104227.
2.
Wei, Yutao, et al.. (2024). Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23682–23683. 1 indexed citations
3.
Zhang, Xiangxin, et al.. (2023). Identification and Validation of Cyclin A2 and Cyclin E2 as Potential Biomarkers in Small Cell Lung Cancer. Oncology Research and Treatment. 46(6). 246–258. 7 indexed citations
4.
Jiang, Yanhui, Jiahui Shen, Yutao Wei, et al.. (2021). DDX19A Promotes Metastasis of Cervical Squamous Cell Carcinoma by Inducing NOX1-Mediated ROS Production. Frontiers in Oncology. 11. 629974–629974. 7 indexed citations
5.
6.
Geng, Tao, et al.. (2020). <p>Next-Generation Sequencing of Synchronous Multiple Primary Lung Cancers in a Patient with Squamous Cell Carcinoma and Small Cell Lung Cancer</p>. OncoTargets and Therapy. Volume 13. 11621–11626. 1 indexed citations
7.
Wu, Fei, Mei Li, Weiyan You, et al.. (2017). A Genetic Variant in miR-124 Decreased the Susceptibility to Esophageal Squamous Cell Carcinoma in a Chinese Kazakh Population. Genetic Testing and Molecular Biomarkers. 22(1). 29–34. 9 indexed citations
8.
Yang, Lan, Xiaoyue Song, Jianbo Zhu, et al.. (2017). Tumor suppressor microRNA-34a inhibits cell migration and invasion by targeting MMP-2/MMP-9/FNDC3B in esophageal squamous cell carcinoma. International Journal of Oncology. 51(1). 378–388. 51 indexed citations
9.
Fu, Wenbo, Yang Liu, Xiaobin Cui, et al.. (2017). MicroRNA and target mRNA selection through invasion and cytotoxicity cell modeling and bioinformatics approaches in esophageal squamous cell carcinoma. Oncology Reports. 38(2). 1181–1189. 5 indexed citations
10.
11.
Chen, Xinzhong, Qin Wang, Fei Xie, et al.. (2017). Post-Translational Modification of Adiponectin Affects Lipid Accumulation, Proliferation and Migration of Vascular Smooth Muscle Cells. Cellular Physiology and Biochemistry. 43(1). 172–181. 8 indexed citations
12.
Yang, Wenkai, et al.. (2017). Adiponectin promotes preadipocyte differentiation via the PPARγ pathway. Molecular Medicine Reports. 17(1). 428–435. 43 indexed citations
13.
Pang, Lijuan, Qiuxiang Li, Shugang Li, et al.. (2016). Membrane type 1-matrix metalloproteinase induces epithelial-to-mesenchymal transition in esophageal squamous cell carcinoma: Observations from clinical and in vitro analyses. Scientific Reports. 6(1). 22179–22179. 46 indexed citations
14.
Ou, Hailong, et al.. (2015). Relationship of the APOA5/A4/C3/A1 gene cluster and APOB gene polymorphisms with dyslipidemia. Genetics and Molecular Research. 14(3). 9277–9290. 15 indexed citations
15.
Zhou, Yuan, Yutao Wei, Lei Wang, et al.. (2011). Decreased adiponectin and increased inflammation expression in epicardial adipose tissue in coronary artery disease. Cardiovascular Diabetology. 10(1). 2–2. 69 indexed citations
16.
Chen, Xinzhong, et al.. (2010). Roles of human epicardial adipose tissue in coronary artery atherosclerosis. Journal of Huazhong University of Science and Technology [Medical Sciences]. 30(5). 589–593. 10 indexed citations
17.
Paulino, Arnold C., et al.. (2008). Radiation-Induced Malignant Gliomas: Is There a Role for Reirradiation?. International Journal of Radiation Oncology*Biology*Physics. 71(5). 1381–1387. 46 indexed citations
18.
Paulino, Arnold C., Thanh Xuân Nguyễn, & Yutao Wei. (2006). An analysis of primary site control and late effects according to local control modality in non‐metastatic Ewing sarcoma. Pediatric Blood & Cancer. 48(4). 423–429. 53 indexed citations
19.
Koshy, Matthew, Arnold C. Paulino, Yutao Wei, & Bin S. Teh. (2005). Radiation-induced osteosarcomas in the pediatric population. International Journal of Radiation Oncology*Biology*Physics. 63(4). 1169–1174. 52 indexed citations
20.
Deng, Zeyi, Yutao Wei, & Yanyun Ma. (2001). [Glutathione-S-transferase M1 genotype in patients with hepatocellular carcinoma].. PubMed. 23(6). 477–9. 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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