Yutian Wei

1.4k total citations
19 papers, 839 citations indexed

About

Yutian Wei is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yutian Wei has authored 19 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yutian Wei's work include Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (5 papers) and Cancer-related molecular mechanisms research (5 papers). Yutian Wei is often cited by papers focused on Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (5 papers) and Cancer-related molecular mechanisms research (5 papers). Yutian Wei collaborates with scholars based in China and United States. Yutian Wei's co-authors include Yongping You, Chenfei Lu, Jianxing Yin, Zhuoran Zhang, Zhumei Shi, Ailiang Zeng, Xiao Lyu, Xiefeng Wang, Wei Yan and Peng Zhou and has published in prestigious journals such as Journal of Clinical Oncology, Oncogene and Molecular Cancer.

In The Last Decade

Yutian Wei

18 papers receiving 837 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yutian Wei China 11 677 566 71 70 56 19 839
Jianxing Yin China 14 1.1k 1.7× 986 1.7× 123 1.7× 79 1.1× 69 1.2× 20 1.3k
Renjun Peng China 17 567 0.8× 478 0.8× 45 0.6× 51 0.7× 63 1.1× 39 804
Bingxi Lei China 13 405 0.6× 283 0.5× 128 1.8× 65 0.9× 70 1.3× 28 602
Shigang Lv China 15 396 0.6× 223 0.4× 83 1.2× 57 0.8× 38 0.7× 32 576
Kazutaka Miyamoto Japan 16 1.0k 1.5× 372 0.7× 27 0.4× 96 1.4× 63 1.1× 32 1.3k
Xiaobo Yang China 16 376 0.6× 248 0.4× 52 0.7× 35 0.5× 101 1.8× 30 622
Mao Ouyang China 12 400 0.6× 298 0.5× 91 1.3× 46 0.7× 95 1.7× 22 681
Wenzhong Du China 14 562 0.8× 399 0.7× 109 1.5× 24 0.3× 78 1.4× 16 729

Countries citing papers authored by Yutian Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yutian Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutian Wei

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

All Works

19 of 19 papers shown
1.
Zhang, Hongjian, Yutian Wei, Xiaoxi Zhang, et al.. (2025). Associations of serum uric acid, risk of atherosclerotic cardiovascular disease, and mortality: results from NHANES. European journal of medical research. 30(1). 283–283. 1 indexed citations
2.
Ye, Yangfan, Liuchao Zhang, Pengzhan Zhao, et al.. (2024). Meningioma achieves malignancy and erastin-induced ferroptosis resistance through FOXM1-AURKA-NRF2 axis. Redox Biology. 72. 103137–103137. 15 indexed citations
3.
Li, Jiahui, Yutian Wei, Jiali Liu, et al.. (2024). Integrative analysis of metabolism subtypes and identification of prognostic metabolism-related genes for glioblastoma. Bioscience Reports. 44(3). 4 indexed citations
4.
Zhang, Yilei, Chuan Qin, Li Xu, et al.. (2024). Association Between Geriatric Nutritional Risk Index and Critically Ill Patients With Pressure Injury: Analysis of the MIMIC‐IV Database. Journal of Clinical Nursing. 34(10). 4105–4120.
5.
Xu, Lei, Yangfan Ye, Tian Wang, et al.. (2023). O-GlcNAcylation of melanophilin enhances radiation resistance in glioblastoma via suppressing TRIM21 mediated ubiquitination. Oncogene. 43(1). 61–75. 9 indexed citations
6.
Ding, Kun, et al.. (2022). Identification and verification of hub genes associated with the progression of non-small cell lung cancer by integrated analysis. Frontiers in Pharmacology. 13. 997842–997842. 11 indexed citations
7.
Zhao, Pengzhan, Yutian Wei, Guangchi Sun, et al.. (2022). Fetuin-A alleviates neuroinflammation against traumatic brain injury-induced microglial necroptosis by regulating Nrf-2/HO-1 pathway. Journal of Neuroinflammation. 19(1). 269–269. 52 indexed citations
8.
Huang, Tengda, Lin Yu, Peng Wang, et al.. (2022). Transcriptome Analysis of the Adipose Tissue of Luchuan and Duroc Pigs. Animals. 12(17). 2258–2258. 7 indexed citations
9.
Li, Wentao, Xiao Lyu, Chenfei Lu, et al.. (2021). SP1-upregulated LBX2-AS1 promotes the progression of glioma by targeting the miR-491-5p/LIF axis. Journal of Cancer. 12(23). 6989–7002. 13 indexed citations
10.
Liang, Aibin, Ping Li, Jiaqi Huang, et al.. (2021). Safety and efficacy of a novel anti-CD20 chimeric antigen receptor (CAR)-T cell therapy in relapsed/refractory (r/r) B-cell non-Hodgkin lymphoma (B-NHL) patients after failing CD19 CAR-T therapy.. Journal of Clinical Oncology. 39(15_suppl). 2508–2508. 16 indexed citations
11.
Yin, Jianxing, Zhumei Shi, Wenjin Wei, et al.. (2020). MiR-181b suppress glioblastoma multiforme growth through inhibition of SP1-mediated glucose metabolism. Cancer Cell International. 20(1). 69–69. 29 indexed citations
12.
Lu, Chenfei, Yutian Wei, Xiefeng Wang, et al.. (2020). DNA-methylation-mediated activating of lncRNA SNHG12 promotes temozolomide resistance in glioblastoma. Molecular Cancer. 19(1). 28–28. 186 indexed citations
13.
Wei, Yutian, Chenfei Lu, Peng Zhou, et al.. (2020). EIF4A3-induced circular RNA ASAP1 promotes tumorigenesis and temozolomide resistance of glioblastoma via NRAS/MEK1/ERK1–2 signaling. Neuro-Oncology. 23(4). 611–624. 147 indexed citations
14.
Yin, Jianxing, Xin Ge, Zhumei Shi, et al.. (2020). Extracellular vesicles derived from hypoxic glioma stem-like cells confer temozolomide resistance on glioblastoma by delivering miR-30b-3p. Theranostics. 11(4). 1763–1779. 77 indexed citations
15.
Cheng, Yu, Jianxing Yin, Xiefeng Wang, et al.. (2020). Association between SNAP25 and human glioblastoma multiform: a comprehensive bioinformatic analysis. Bioscience Reports. 40(6). 7 indexed citations
16.
Zhang, Zhuoran, Jianxing Yin, Chenfei Lu, et al.. (2019). Exosomal transfer of long non-coding RNA SBF2-AS1 enhances chemoresistance to temozolomide in glioblastoma. Journal of Experimental & Clinical Cancer Research. 38(1). 166–166. 223 indexed citations
17.
Xie, Mengyan, Ling Ma, Tongpeng Xu, et al.. (2018). Potential Regulatory Roles of MicroRNAs and Long Noncoding RNAs in Anticancer Therapies. Molecular Therapy — Nucleic Acids. 13. 233–243. 39 indexed citations
18.
Feng, Na, Yutian Wei, Jie Feng, et al.. (2018). Preparative isolation of ganoderic acid S, ganoderic acid T and ganoderol B from Ganoderma lucidum mycelia by high‐speed counter‐current chromatography. Biomedical Chromatography. 32(10). e4283–e4283. 1 indexed citations
19.
Yao, Yihong, Xin Yao, Wei Zhu, et al.. (2017). Target cell killing effects of CD20 targeting chimeric antigen receptor T cells derived from the type II anti-CD20 antibody.. Journal of Clinical Oncology. 35(15_suppl). e14548–e14548. 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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