Yaxun Wei

889 total citations
22 papers, 411 citations indexed

About

Yaxun Wei is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yaxun Wei has authored 22 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Cancer Research and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yaxun Wei's work include RNA Research and Splicing (15 papers), RNA modifications and cancer (13 papers) and Cancer-related molecular mechanisms research (8 papers). Yaxun Wei is often cited by papers focused on RNA Research and Splicing (15 papers), RNA modifications and cancer (13 papers) and Cancer-related molecular mechanisms research (8 papers). Yaxun Wei collaborates with scholars based in China, Kenya and Mongolia. Yaxun Wei's co-authors include Yi Zhang, Yaqiang Xue, Dawei Chen, Xia Wang, Jingxin Li, Guosheng Li, Chunyan Ji, Panpan Feng, Yuge Ji and Jing Hou and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Yaxun Wei

22 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaxun Wei China 13 291 142 58 26 26 22 411
Diana A. Yanez United States 8 224 0.8× 38 0.3× 52 0.9× 12 0.5× 20 0.8× 9 327
Nora Tenis Australia 10 352 1.2× 49 0.3× 39 0.7× 9 0.3× 37 1.4× 12 433
Zhongcheng Zhou China 12 350 1.2× 73 0.5× 46 0.8× 6 0.2× 21 0.8× 39 482
Christina Quensel Germany 8 296 1.0× 35 0.2× 36 0.6× 7 0.3× 32 1.2× 8 430
Yue Qin China 10 321 1.1× 56 0.4× 38 0.7× 4 0.2× 20 0.8× 24 435
Swamy K. Tripurani United States 16 448 1.5× 219 1.5× 158 2.7× 17 0.7× 26 1.0× 22 743
Meera Shah United States 9 357 1.2× 100 0.7× 51 0.9× 3 0.1× 35 1.3× 9 437
H. Annika Siitonen Finland 9 357 1.2× 98 0.7× 79 1.4× 5 0.2× 38 1.5× 10 482
Claire Hamilton United States 11 393 1.4× 38 0.3× 99 1.7× 23 0.9× 64 2.5× 15 544

Countries citing papers authored by Yaxun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Yaxun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaxun Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Yaxun Wei. A scholar is included among the top collaborators of Yaxun 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 Yaxun Wei. Yaxun 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.
Chen, Wenjie, Xinyu Chen, Chen Cheng, et al.. (2025). OCT4 translationally promotes AKT signaling as an RNA-binding protein in stressed pluripotent stem cells. Stem Cell Research & Therapy. 16(1). 84–84. 1 indexed citations
2.
Chen, Wen, Mengwei Wang, Yijun Ren, et al.. (2024). HMGB1 prefers to interact with structural RNAs and regulates rRNA methylation modification and translation in HeLa cells. BMC Genomics. 25(1). 345–345. 1 indexed citations
3.
Zheng, Jianfeng, Xiaoyu Zhang, Yaqiang Xue, et al.. (2024). PAIP1 binds to pre-mRNA and regulates alternative splicing of cancer pathway genes including VEGFA. BMC Genomics. 25(1). 926–926. 2 indexed citations
4.
Huang, Nan, Yaxun Wei, Yi Cheng, et al.. (2022). Iron metabolism protein transferrin receptor 1 involves in cervical cancer progression by affecting gene expression and alternative splicing in HeLa cells. Genes & Genomics. 44(6). 637–650. 15 indexed citations
5.
Wu, Liping, Weili Quan, Yi Zhang, et al.. (2022). Attenuated Duck Hepatitis A Virus Infection Is Associated With High mRNA Maintenance in Duckling Liver via m6A Modification. Frontiers in Immunology. 13. 839677–839677. 7 indexed citations
6.
Cheng, Yanxiang, et al.. (2022). Transcriptome analysis reveals the potential biological function of FSCN1 in HeLa cervical cancer cells. PeerJ. 10. e12909–e12909. 5 indexed citations
7.
Wang, Juan, et al.. (2021). An integrated analysis of lncRNA and mRNA expression profiles in the kidneys of mice with lupus nephritis. PeerJ. 9. e10668–e10668. 7 indexed citations
8.
Wang, Fei, et al.. (2021). ATP5A1 Participates in Transcriptional and Posttranscriptional Regulation of Cancer-Associated Genes by Modulating Their Expression and Alternative Splicing Profiles in HeLa Cells. Technology in Cancer Research & Treatment. 20. 2203781014–2203781014. 14 indexed citations
9.
Xue, Yaqiang, Yi Cheng, Peng Zhang, et al.. (2021). DDX41 regulates the expression and alternative splicing of genes involved in tumorigenesis and immune response. Oncology Reports. 45(3). 1213–1225. 16 indexed citations
10.
Yu, Fengyun, Yu Zhang, Chao Cheng, et al.. (2020). Poly(A)-seq: A method for direct sequencing and analysis of the transcriptomic poly(A)-tails. PLoS ONE. 15(6). e0234696–e0234696. 32 indexed citations
11.
Huang, Nan, Leilei Zhan, Yi Cheng, et al.. (2020). TfR1 Extensively Regulates the Expression of Genes Associated with Ion Transport and Immunity. Current Medical Science. 40(3). 493–501. 9 indexed citations
12.
Wu, Xiongfei, et al.. (2020). Tristetraprolin-RNA interaction map reveals a novel TTP-RelB regulatory network for innate immunity gene expression. Molecular Immunology. 121. 59–71. 15 indexed citations
13.
Dong, Kun, Qiuchen Zhao, Yaqiang Xue, et al.. (2020). TCTP participates in hepatic metabolism by regulating gene expression involved in insulin resistance. Gene. 768. 145263–145263. 5 indexed citations
14.
Wu, Kejing, Lele Wang, Zhiying Wang, et al.. (2019). Comparative study on seasonal hair follicle cycling by analysis of the transcriptomes from cashmere and milk goats. Genomics. 112(1). 332–345. 29 indexed citations
15.
Wang, Weiyang, Weili Quan, Yaxun Wei, et al.. (2019). RBM4 modulates the proliferation and expression of inflammatory factors via the alternative splicing of regulatory factors in HeLa cells. Molecular Genetics and Genomics. 295(1). 95–106. 13 indexed citations
16.
Zhang, Yanjun, Lele Wang, Zhen Li, et al.. (2019). Transcriptome profiling reveals transcriptional and alternative splicing regulation in the early embryonic development of hair follicles in the cashmere goat. Scientific Reports. 9(1). 17735–17735. 14 indexed citations
17.
Song, Qingling, et al.. (2019). CRKL regulates alternative splicing of cancer-related genes in cervical cancer samples and HeLa cell. BMC Cancer. 19(1). 499–499. 26 indexed citations
18.
Wu, Xiongfei, Fengyun Yu, Juan Wang, et al.. (2019). Tristetraprolin specifically regulates the expression and alternative splicing of immune response genes in HeLa cells. BMC Immunology. 20(1). 27 indexed citations
19.
Hou, Jing, et al.. (2018). hnRNPDL extensively regulates transcription and alternative splicing. Gene. 687. 125–134. 40 indexed citations
20.
Jia, Huaijie, Leilei Zhan, Xiaoxia Wang, et al.. (2017). Transcriptome analysis of sheep oral mucosa response to Orf virus infection. PLoS ONE. 12(10). e0186681–e0186681. 15 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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