Meng‐Ju Wu

1.3k total citations
22 papers, 700 citations indexed

About

Meng‐Ju Wu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Meng‐Ju Wu has authored 22 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Meng‐Ju Wu's work include Epigenetics and DNA Methylation (6 papers), Cancer Cells and Metastasis (6 papers) and MicroRNA in disease regulation (4 papers). Meng‐Ju Wu is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Cancer Cells and Metastasis (6 papers) and MicroRNA in disease regulation (4 papers). Meng‐Ju Wu collaborates with scholars based in Taiwan, United States and China. Meng‐Ju Wu's co-authors include Yu−Syuan Chen, Jer‐Yen Yang, Chih‐Yang Huang, Shu‐Chun Lin, Jeng‐Fan Lo, Yingsheng Zhang, Chun–Ju Chang, Jer-Yen Yang, Ignacio G. Camarillo and Chun-Ju Chang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Meng‐Ju Wu

19 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meng‐Ju Wu Taiwan	11	430	280	279	75	74	22	700
Liang Hao China	15	494 1.1×	207 0.7×	211 0.8×	52 0.7×	48 0.6×	37	734
Teresa Gagliano Italy	15	297 0.7×	200 0.7×	149 0.5×	31 0.4×	105 1.4×	36	615
Antonio Lucena-Cacace Spain	14	365 0.8×	261 0.9×	104 0.4×	33 0.4×	78 1.1×	23	598
Leya He China	7	369 0.9×	405 1.4×	169 0.6×	86 1.1×	27 0.4×	11	665
Wilma Jogunoori United States	13	498 1.2×	390 1.4×	190 0.7×	50 0.7×	100 1.4×	22	871
Ruben Martherus Belgium	10	496 1.2×	91 0.3×	400 1.4×	44 0.6×	39 0.5×	14	741
Li-Xia Peng China	14	514 1.2×	262 0.9×	331 1.2×	48 0.6×	70 0.9×	15	766
Tania Valencia United States	8	380 0.9×	142 0.5×	229 0.8×	45 0.6×	130 1.8×	10	574
Takeo Shimasaki Japan	13	479 1.1×	203 0.7×	123 0.4×	50 0.7×	31 0.4×	37	670
Dongyi Wan China	10	326 0.8×	153 0.5×	146 0.5×	50 0.7×	31 0.4×	16	481

Countries citing papers authored by Meng‐Ju Wu

Since Specialization

Citations

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

Fields of papers citing papers by Meng‐Ju Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng‐Ju Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Man, Meng‐Ju Wu, & Zhenyu Fang. (2025). α7nAChR inhibits pyroptosis of rheumatoid arthritis synovial fibroblasts via the NLRP3/GSDMD pathway. Tissue and Cell. 99. 103233–103233.

Wu, Meng‐Ju, et al.. (2025). TCA cycle-derived oncometabolites in cancer and the immune microenvironment. Journal of Biomedical Science. 32(1). 87–87.

Zhang, Zheng, Yikai Liu, Subhransu S. Sahoo, et al.. (2025). Proteomic Tracking Extracellular Vesicle RNA Interactors in Recipient Immune Cells through Orthogonal Labelings. Journal of the American Chemical Society. 147(32). 28577–28582.

Zhang, Yingsheng, et al.. (2024). Metabolic switch regulates lineage plasticity and induces synthetic lethality in triple-negative breast cancer. Cell Metabolism. 36(1). 193–208.e8. 42 indexed citations

Wu, Meng‐Ju, et al.. (2024). Comparison of complication rates between midline catheters and peripherally inserted central catheters: a systematic review and meta-analysis of randomized controlled trials. Journal of Hospital Infection. 151. 131–139. 3 indexed citations

Wu, Meng‐Ju, et al.. (2022). Muscle Biopsy: A Requirement for Precision Medicine in Adult-Onset Myopathy. Journal of Clinical Medicine. 11(6). 1580–1580. 7 indexed citations

Wu, Meng‐Ju, et al.. (2022). Biology of IDH mutant cholangiocarcinoma. Hepatology. 75(5). 1322–1337. 40 indexed citations

Kim, Mee‐Ran, et al.. (2020). TET2 directs mammary luminal cell differentiation and endocrine response. Nature Communications. 11(1). 4642–4642. 37 indexed citations

Mao, Jianshan, et al.. (2020). Mechanism for ginsenoside Rh2-induced apoptosis of triple-negative breast cancer MDA-MB-231 cells. SHILAP Revista de lepidopterología. 47(1). 5 indexed citations

10.

Wu, Meng‐Ju, Yu−Syuan Chen, Mee‐Ran Kim, et al.. (2018). Epithelial-Mesenchymal Transition Directs Stem Cell Polarity via Regulation of Mitofusin. Cell Metabolism. 29(4). 993–1002.e6. 90 indexed citations

11.

Wu, Meng‐Ju, et al.. (2017). Retinoic acid directs breast cancer cell state changes through regulation of TET2-PKCζ pathway. Oncogene. 36(22). 3193–3206. 41 indexed citations

12.

Wu, Meng‐Ju, et al.. (2015). Leptin–STAT3–G9a Signaling Promotes Obesity-Mediated Breast Cancer Progression. Cancer Research. 75(11). 2375–2386. 90 indexed citations

13.

Wu, Meng‐Ju, Mee‐Ran Kim, & Chun-Ju Chang. (2015). Regulation of microRNA-200c in cancer stem cells. Oncoscience. 2(9). 745–746. 5 indexed citations

14.

Chao, Chi-Hong, Meng‐Ju Wu, How-Wen Ko, et al.. (2014). MicroRNA-205 signaling regulates mammary stem cell fate and tumorigenesis. Journal of Clinical Investigation. 124(7). 3093–3106. 95 indexed citations

15.

Wu, Meng‐Ju, et al.. (2014). Patterns of Nonemergent Visits to Different Healthcare Facilities on the Same Day: A Nationwide Analysis in Taiwan. The Scientific World JOURNAL. 2014. 1–8. 6 indexed citations

16.

Chang, Ching-Wen, Chien-Chih Chen, Meng‐Ju Wu, et al.. (2013). Active Component ofAntrodia cinnamomeaMycelia Targeting Head and Neck Cancer Initiating Cells through Exaggerated Autophagic Cell Death. Evidence-based Complementary and Alternative Medicine. 2013. 1–15. 17 indexed citations

17.

Chen, Yu−Syuan, Meng‐Ju Wu, Chih‐Yang Huang, et al.. (2011). CD133/Src Axis Mediates Tumor Initiating Property and Epithelial-Mesenchymal Transition of Head and Neck Cancer. PLoS ONE. 6(11). e28053–e28053. 102 indexed citations

18.

Wu, Meng‐Ju, Chia-Ing Jan, Yeou‐Guang Tsay, et al.. (2010). Elimination of head and neck cancer initiating cells through targeting glucose regulated protein78 signaling. Molecular Cancer. 9(1). 283–283. 97 indexed citations

19.

Fan, Jinjiang, et al.. (2007). A full complement of transfer RNA genes in the Candida albicans genome. 1 indexed citations

20.

Jiang, Fen, et al.. (1991). The use of Nd-YAG laser in the treatment of malignant tumours of the oral and maxillofacial regions. Lasers in Medical Science. 6(2). 209–212. 7 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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