Aixue Huang

479 total citations
12 papers, 313 citations indexed

About

Aixue Huang is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Aixue Huang has authored 12 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Cell Biology. Recurrent topics in Aixue Huang's work include MicroRNA in disease regulation (5 papers), Advanced biosensing and bioanalysis techniques (3 papers) and RNA modifications and cancer (2 papers). Aixue Huang is often cited by papers focused on MicroRNA in disease regulation (5 papers), Advanced biosensing and bioanalysis techniques (3 papers) and RNA modifications and cancer (2 papers). Aixue Huang collaborates with scholars based in China. Aixue Huang's co-authors include Ningsheng Shao, Jie Dong, Chenjun Bai, Hongmei Ding, Tao Fang, Xuemei Liu, Xueting Su, Xinhui Lou, Lingling Zhu and Zihua Yang and has published in prestigious journals such as Analytical Chemistry, Oncogene and Scientific Reports.

In The Last Decade

Aixue Huang

11 papers receiving 308 citations

Peers

Aixue Huang
Evan Tan Singapore
Phung M. Nguyen United States
Rachel Johns United States
Aixue Huang
Citations per year, relative to Aixue Huang Aixue Huang (= 1×) peers Guangcheng Luo

Countries citing papers authored by Aixue Huang

Since Specialization
Citations

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

Fields of papers citing papers by Aixue Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aixue Huang

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

All Works

12 of 12 papers shown
1.
Zhao, Yuechao, Can Xiao, Shaohua Li, et al.. (2025). CD71-Mediated Effects of Soluble Vasorin on Tumor Progression, Angiogenesis and Immunosuppression. International Journal of Molecular Sciences. 26(10). 4913–4913.
2.
Xiao, Can, Nan Wang, Yuechao Zhao, et al.. (2024). Rapid and Sensitive Detection of Inactivated SARS-CoV-2 Virus via Fiber-Optic and Electrochemical Impedance Spectroscopy Based Aptasensors. Biosensors. 14(5). 231–231. 3 indexed citations
3.
Lü, Chenchen, Hua Xu, Aixue Huang, et al.. (2024). Abundance of Modifications in Mature miRNAs Revealed by LC-MS/MS Method Coupled with a Two-Step Hybridization Purification Strategy. Analytical Chemistry. 96(18). 6870–6874. 2 indexed citations
4.
Li, Hui, Aixue Huang, Yuechao Zhao, et al.. (2023). Mutual regulation between TRIM21 and TRIM8 via K48-linked ubiquitination. Oncogene. 42(50). 3708–3718. 8 indexed citations
5.
Su, Xueting, Yuechao Zhao, Aixue Huang, et al.. (2022). AGO4 suppresses tumor growth by modulating autophagy and apoptosis via enhancing TRIM21-mediated ubiquitination of GRP78 in a p53-independent manner. Oncogene. 42(1). 62–77. 17 indexed citations
6.
Zhao, Yuechao, Tan Zhang, Xuelian Shen, et al.. (2022). Tumor necrosis factor alpha delivers exogenous inflammation-related microRNAs to recipient cells with functional targeting capabilities. Molecular Therapy. 30(9). 3052–3065. 6 indexed citations
7.
Bai, Chenjun, Shanshan Gao, Sai Hu, et al.. (2020). Self-Assembled Multivalent Aptamer Nanoparticles with Potential CAR-like Characteristics Could Activate T Cells and Inhibit Melanoma Growth. Molecular Therapy — Oncolytics. 17. 9–20. 32 indexed citations
8.
Li, Da, Tan Zhang, Jie Geng, et al.. (2018). Identification of Functional mimotopes of human Vasorin Ectodomain by Biopanning. International Journal of Biological Sciences. 14(4). 461–470. 9 indexed citations
9.
Bai, Chenjun, Zhangwei Lu, Hua Jiang, et al.. (2018). Aptamer selection and application in multivalent binding-based electrical impedance detection of inactivated H1N1 virus. Biosensors and Bioelectronics. 110. 162–167. 109 indexed citations
10.
Dong, Jie, Shaohua Li, Wei Xia, et al.. (2017). An alternative microRNA-mediated post-transcriptional regulation of GADD45A by p53 in human non-small-cell lung cancer cells. Scientific Reports. 7(1). 7153–7153. 13 indexed citations
11.
Huang, Aixue, Jie Dong, Shaohua Li, et al.. (2015). Exosomal Transfer of Vasorin Expressed in Hepatocellular Carcinoma Cells Promotes Migration of Human Umbilical Vein Endothelial Cells. International Journal of Biological Sciences. 11(8). 961–969. 85 indexed citations
12.
Wu, Yang, Aixue Huang, Tao Li, et al.. (2014). MiR‐152 reduces human umbilical vein endothelial cell proliferation and migration by targeting ADAM17. FEBS Letters. 588(12). 2063–2069. 29 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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