Weiyun Wu

2.3k total citations · 1 hit paper
28 papers, 1.8k citations indexed

About

Weiyun Wu is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Weiyun Wu has authored 28 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Cancer Research and 6 papers in Epidemiology. Recurrent topics in Weiyun Wu's work include MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (10 papers) and Circular RNAs in diseases (6 papers). Weiyun Wu is often cited by papers focused on MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (10 papers) and Circular RNAs in diseases (6 papers). Weiyun Wu collaborates with scholars based in China, South Korea and United States. Weiyun Wu's co-authors include Feng‐Mao Lin, Chi‐Ying F. Huang, Chao Liang, Wei‐Chih Huang, Sheng‐Da Hsu, Hsien‐Da Huang, Chia‐Jung Lee, Wen‐Ling Chan, Ann‐Ping Tsou and Chih-Min Chiu and has published in prestigious journals such as Nucleic Acids Research, Gastroenterology and PLoS ONE.

In The Last Decade

Weiyun Wu

28 papers receiving 1.8k citations

Hit Papers

miRTarBase: a database curates experimentally validated m... 2010 2026 2015 2020 2010 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. miRTarBase: a database curates experimentally validated microRNA–target interactions
    2010 1.1k citations Sheng‐Da Hsu, Feng‐Mao Lin et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiyun Wu China 14 1.3k 1.1k 164 144 111 28 1.8k
Xiaozhao Lu China 17 1.2k 0.9× 1.0k 0.9× 121 0.7× 77 0.5× 85 0.8× 36 1.5k
Adriane Feijó Evangelista Brazil 22 834 0.6× 622 0.6× 77 0.5× 148 1.0× 90 0.8× 75 1.4k
Xinfeng Yu China 20 998 0.8× 695 0.6× 162 1.0× 307 2.1× 78 0.7× 43 1.7k
Efrosyni Paraskeva Greece 24 1.4k 1.1× 757 0.7× 125 0.8× 131 0.9× 78 0.7× 43 2.1k
Hai Li China 17 532 0.4× 414 0.4× 176 1.1× 202 1.4× 126 1.1× 66 1.2k
Monika Gjorgjieva Switzerland 14 691 0.5× 590 0.5× 237 1.4× 89 0.6× 76 0.7× 22 1.1k

Countries citing papers authored by Weiyun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Weiyun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiyun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Weiyun Wu. A scholar is included among the top collaborators of Weiyun Wu 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 Weiyun Wu. Weiyun Wu 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.
Wu, Weiyun, Cheng Pang, Xin Wen, et al.. (2025). IGF2BP2 regulates inflammation in ulcerative colitis through N6-methyladenosine-dependent modulation of CBR1. International Immunopharmacology. 161. 115072–115072. 2 indexed citations
2.
Wu, Weiyun, et al.. (2024). Long noncoding RNA LINC01550 inhibits colorectal cancer malignancy by suppressing the Wnt/β‐catenin signaling pathway. Journal of Biochemical and Molecular Toxicology. 38(8). e23774–e23774. 3 indexed citations
3.
Wang, Ruwen, Jian Gao, Jiaojiao Liu, et al.. (2023). Insulin Glargine is More Suitable Than Exenatide in Preventing Muscle Loss in Non-Obese Type 2 Diabetic Patients with NAFLD. Experimental and Clinical Endocrinology & Diabetes. 131(11). 583–588. 3 indexed citations
4.
5.
Shali, Shalaimaiti, Weiyun Wu, Jin Bai, et al.. (2022). Current of injury is an indicator of lead depth and performance during left bundle branch pacing lead implantation. Heart Rhythm. 19(8). 1281–1288. 19 indexed citations
6.
Li, Qian, et al.. (2022). A comparison of NAFLD and MAFLD diagnostic criteria in contemporary urban healthy adults in China: a cross-sectional study. BMC Gastroenterology. 22(1). 471–471. 10 indexed citations
7.
Yan, Hongmei, Weiyun Wu, Xinxia Chang, et al.. (2021). Gender differences in the efficacy of pioglitazone treatment in nonalcoholic fatty liver disease patients with abnormal glucose metabolism. Biology of Sex Differences. 12(1). 1–1. 25 indexed citations
8.
Chu, Jiaqi, Fei Fei Gao, Weiyun Wu, et al.. (2021). Expression profiles of NOD-like receptors and regulation of NLRP3 inflammasome activation in Toxoplasma gondii-infected human small intestinal epithelial cells. Parasites & Vectors. 14(1). 153–153. 16 indexed citations
9.
10.
Ye, Shicai, Weiyun Wu, Caiyuan Yu, et al.. (2020). LINC01123 facilitates proliferation, invasion and chemoresistance of colon cancer cells. Bioscience Reports. 40(8). 22 indexed citations
11.
12.
Huang, Xiaomei, Yang Wu, Fuhua Wang, et al.. (2019). Applications of High-Resolution Mass Spectrometry in Determination of Chlorinated Paraffins. Chinese Journal of Analytical Chemistry. 47(3). 323–334. 7 indexed citations
13.
Wu, Weiyun, Shicai Ye, Wenkai Tan, Yu Zhou, & Juan‐Hua Quan. (2019). Analysis of promoter methylation and epigenetic regulation of miR‑32 in colorectal cancer cells. Experimental and Therapeutic Medicine. 17(4). 3209–3214. 3 indexed citations
14.
Tian, Ting, Yu Zhou, Xiao Feng, et al.. (2016). MicroRNA-16 is putatively involved in the NF-κB pathway regulation in ulcerative colitis through adenosine A2a receptor (A2aAR) mRNA targeting. Scientific Reports. 6(1). 30824–30824. 59 indexed citations
15.
Li, Qian, Weiyun Wu, Huandong Lin, et al.. (2016). Serum retinol binding protein 4 is negatively related to estrogen in Chinese women with obesity: a cross-sectional study. Lipids in Health and Disease. 15(1). 52–52. 8 indexed citations
16.
Ren, Tianhua, Ting Tian, Feng Xiao, et al.. (2015). An adenosine A3 receptor agonist inhibits DSS-induced colitis in mice through modulation of the NF-κB signaling pathway. Scientific Reports. 5(1). 9047–9047. 42 indexed citations
17.
Wu, Weiyun, Zhuang Wang, Jian Liang, et al.. (2013). MicroRNA-135b regulates metastasis suppressor 1 expression and promotes migration and invasion in colorectal cancer. Molecular and Cellular Biochemistry. 388(1-2). 249–259. 52 indexed citations
18.
Wu, Weiyun, Xiao Feng, Hao Wang, et al.. (2013). MicroRNA-32 (miR-32) regulates phosphatase and tensin homologue (PTEN) expression and promotes growth, migration, and invasion in colorectal carcinoma cells. Molecular Cancer. 12(1). 30–30. 142 indexed citations
19.
Feng, Xiao, Hao Wang, Shicai Ye, et al.. (2012). Up-Regulation of microRNA-126 May Contribute to Pathogenesis of Ulcerative Colitis via Regulating NF-kappaB Inhibitor IκBα. PLoS ONE. 7(12). e52782–e52782. 106 indexed citations
20.
Hsu, Sheng‐Da, Feng‐Mao Lin, Weiyun Wu, et al.. (2010). miRTarBase: a database curates experimentally validated microRNA–target interactions. Nucleic Acids Research. 39(suppl_1). D163–D169. 1074 indexed citations breakdown →

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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