Weilu Kuang

411 total citations
11 papers, 318 citations indexed

About

Weilu Kuang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Weilu Kuang has authored 11 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Weilu Kuang's work include Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers) and RNA modifications and cancer (3 papers). Weilu Kuang is often cited by papers focused on Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers) and RNA modifications and cancer (3 papers). Weilu Kuang collaborates with scholars based in China and United States. Weilu Kuang's co-authors include Zhengzheng Liu, HengAn Wu, Shi Ouyang, Qin Zhou, Yingying Zhang, Heng Wu, Xiaodan Fu, Wei Guo, Min Tang and Wuzhong Jiang and has published in prestigious journals such as Cancer Biology & Therapy, International Journal of Molecular Medicine and Cellular and Molecular Neurobiology.

In The Last Decade

Weilu Kuang

9 papers receiving 317 citations

Peers

Weilu Kuang

MB

CR

IMMUN

ONCOL

GENET

Danhua Zhu China

Jin-Liang Wan China

Marianna Colamaio Italy

Peggy Prickaerts Netherlands

Jian Shi China

Xiaoxia Gou China

Tait Huso United States

Ye‐Ying Fang China

Jie Xi China

Danhua Zhu China

Weilu Kuang

235 ×1.0

MB

154 ×0.8

CR

41 ×0.8

IMMUN

60 ×1.3

ONCOL

17 ×0.6

GENET

Citations per year, relative to Weilu Kuang Weilu Kuang (= 1×) peers Danhua Zhu

Countries citing papers authored by Weilu Kuang

Since Specialization

Citations

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

Fields of papers citing papers by Weilu Kuang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weilu Kuang

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

All Works

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11 of 11 papers shown

1.

Nie, Hui, et al.. (2025). A novel telomere-associated genes signature for the prediction of prognosis and treatment responsiveness of hepatocellular carcinoma. Biological Procedures Online. 27(1). 8–8.

2.

Wang, Ruixuan, Yanhong Chen, Weilu Kuang, et al.. (2023). Valproic acid regulates the miR-155/Jarid2 axis by affecting miR-155 promoter methylation in glioma. Acta Biochimica et Biophysica Sinica. 56(2). 174–183. 4 indexed citations

3.

Kuang, Weilu, et al.. (2021). The function and mechanism of the JARID2/CCND1 axis in modulating glioma cell growth and sensitivity to temozolomide (TMZ). Cancer Biology & Therapy. 22(5-6). 392–403. 5 indexed citations

4.

Liu, Zhengzheng, et al.. (2020). LncRNA H19 Promotes Cell Proliferation, Migration, and Angiogenesis of Glioma by Regulating Wnt5a/β-Catenin Pathway via Targeting miR-342. Cellular and Molecular Neurobiology. 42(4). 1065–1077. 39 indexed citations

5.

Liu, Zhengzheng, et al.. (2019). Downregulation of iASPP Expression Suppresses Proliferation, Invasion and Increases Chemosensitivity to Paclitaxel of Head and Neck Squamous Cell Carcinoma In Vitro. Chinese Medical Sciences Journal. 34(3). 184–193.

6.

Wu, HengAn, et al.. (2019). LncRNA H19 promotes glioma angiogenesis through miR-138/HIF-1α/VEGF axis. Neoplasma. 67(1). 111–118. 129 indexed citations

7.

Fu, Xiaodan, et al.. (2019). Long non‑coding RNA DLX6‑AS1 silencing inhibits malignant phenotypes of gastric cancer cells. Experimental and Therapeutic Medicine. 17(6). 4715–4722. 21 indexed citations

8.

Liu, Zhengzheng, Weilu Kuang, Qin Zhou, & Yingying Zhang. (2018). TGF-β1 secreted by M2 phenotype macrophages enhances the stemness and migration of glioma�cells via the SMAD2/3 signalling pathway. International Journal of Molecular Medicine. 42(6). 3395–3403. 99 indexed citations

9.

L, Li, et al.. (2014). Activation of β-catenin stimulated by mechanical strain and estrogen requires estrogen receptor in mesenchymal stem cells (MSCs).. PubMed. 18(21). 3149–55. 11 indexed citations

10.

He, Lili, et al.. (2013). [Dosimetric comparison of left-side whole breast irradiation with IMRT and hybrid IMRT].. PubMed. 38(10). 1003–8. 2 indexed citations

11.

He, Xixi, et al.. (2013). Role of mechanical strain and estrogen in modulating osteogenic differentiation of mesenchymal stem cells (MSCs) from normal and ovariectomized rats.. PubMed. Suppl 59. OL1889–93. 8 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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