Mo‐Li Wu

1.5k total citations
52 papers, 1.3k citations indexed

About

Mo‐Li Wu is a scholar working on Molecular Biology, Geriatrics and Gerontology and Oncology. According to data from OpenAlex, Mo‐Li Wu has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 22 papers in Geriatrics and Gerontology and 15 papers in Oncology. Recurrent topics in Mo‐Li Wu's work include Sirtuins and Resveratrol in Medicine (22 papers), Autophagy in Disease and Therapy (7 papers) and Cytokine Signaling Pathways and Interactions (7 papers). Mo‐Li Wu is often cited by papers focused on Sirtuins and Resveratrol in Medicine (22 papers), Autophagy in Disease and Therapy (7 papers) and Cytokine Signaling Pathways and Interactions (7 papers). Mo‐Li Wu collaborates with scholars based in China, United States and Germany. Mo‐Li Wu's co-authors include Qing‐You Kong, Xiaohong Chen, Jia Liu, Xiaohong Shu, Song Xue, Hong Li, Jia Liu, Jia Liu, Yuan Sun and YU Li-jun and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Biochemical Pharmacology.

In The Last Decade

Mo‐Li Wu

52 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mo‐Li Wu China 23 643 379 298 230 163 52 1.3k
Qing‐You Kong China 25 831 1.3× 316 0.8× 308 1.0× 247 1.1× 154 0.9× 47 1.4k
Soesiawati R. Darjatmoko United States 19 567 0.9× 272 0.7× 142 0.5× 80 0.3× 203 1.2× 34 1.2k
Wei Fu China 18 799 1.2× 202 0.5× 212 0.7× 215 0.9× 64 0.4× 38 1.5k
Heng‐Yuan Tang United States 16 517 0.8× 209 0.6× 259 0.9× 123 0.5× 75 0.5× 19 1.1k
Franziska Busch Germany 7 405 0.6× 160 0.4× 107 0.4× 126 0.5× 57 0.3× 10 1.0k
Enrique A. Castellón Chile 23 758 1.2× 139 0.4× 450 1.5× 413 1.8× 78 0.5× 56 1.5k
Chun‐Yan Kong China 19 963 1.5× 72 0.2× 283 0.9× 276 1.2× 111 0.7× 31 1.8k

Countries citing papers authored by Mo‐Li Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mo‐Li Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mo‐Li Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Mo‐Li Wu. A scholar is included among the top collaborators of Mo‐Li 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 Mo‐Li Wu. Mo‐Li 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.
Shi, Yixin, Haipeng Li, Yichu Nie, et al.. (2025). Resveratrol suppresses growth and VCAN expression in a Cancer-associated fibroblast-breast Cancer hybrid organoid. International Immunopharmacology. 153. 114451–114451. 2 indexed citations
2.
Xue, Song, et al.. (2020). <p>Synergistic Effects of Resveratrol and Temozolomide Against Glioblastoma Cells: Underlying Mechanism and Therapeutic Implications</p>. Cancer Management and Research. Volume 12. 8341–8354. 35 indexed citations
3.
Jia, Bin, Xu Zheng, Mo‐Li Wu, et al.. (2020). Increased Reactive Oxygen Species and Distinct Oxidative Damage in Resveratrol-suppressed Glioblastoma Cells. Journal of Cancer. 12(1). 141–149. 22 indexed citations
4.
Liu, Xin, Li Hong, Mo‐Li Wu, et al.. (2019). Resveratrol Reverses Retinoic Acid Resistance of Anaplastic Thyroid Cancer Cells via Demethylating CRABP2 Gene. Frontiers in Endocrinology. 10. 734–734. 30 indexed citations
5.
Wu, Mo‐Li, Danyang Song, Hui Li, et al.. (2019). <p>Negative regulators of STAT3 signaling pathway in cancers</p>. Cancer Management and Research. Volume 11. 4957–4969. 52 indexed citations
6.
Zhong, Lixia, Mo‐Li Wu, Hong Li, Jia Liu, & Lizhu Lin. (2019). <p>Efficacy and safety of intraperitoneally administered resveratrol against rat orthotopic ovarian cancers</p>. Cancer Management and Research. Volume 11. 6113–6124. 10 indexed citations
7.
Zheng, Xu, Bin Jia, Xiaoting Tian, et al.. (2018). Correlation of Reactive Oxygen Species Levels with Resveratrol Sensitivities of Anaplastic Thyroid Cancer Cells. Oxidative Medicine and Cellular Longevity. 2018(1). 6235417–6235417. 38 indexed citations
8.
Liu, Zhili, Jia Liu, Mo‐Li Wu, et al.. (2017). Inactivated Wnt signaling in resveratrol-treated epidermal squamous cancer cells and its biological implication. Oncology Letters. 14(2). 2239–2243. 24 indexed citations
9.
Liu, Lihong, Hong Li, Xiaoxin Cheng, et al.. (2016). Correlative analyses of the expression levels of PIAS3, p-SHP2, SOCS1 and SOCS3 with STAT3 activation in human astrocytomas. Molecular Medicine Reports. 15(2). 847–852. 5 indexed citations
10.
Shu, Xiaohong, Lili Wang, Hong Li, et al.. (2015). Diffusion Efficiency and Bioavailability of Resveratrol Administered to Rat Brain by Different Routes: Therapeutic Implications. Neurotherapeutics. 12(2). 491–501. 64 indexed citations
11.
Zhong, Lixia, Hong Li, Mo‐Li Wu, et al.. (2015). Inhibition of STAT3 signaling as critical molecular event in resveratrol-suppressed ovarian cancer cells. Journal of Ovarian Research. 8(1). 25–25. 40 indexed citations
12.
Li, Hong, Xiaohong Chen, Xianghong Yang, et al.. (2012). Expression patterns and potential roles of SIRT1 in human medulloblastoma cells in vivo and in vitro. Neuropathology. 33(1). 7–16. 22 indexed citations
13.
Li, Peinan, Mo‐Li Wu, Shouyu Wang, et al.. (2012). A Cost-Effective Transparency-Based Digital Imaging for Efficient and Accurate Wound Area Measurement. PLoS ONE. 7(5). e38069–e38069. 22 indexed citations
14.
Sun, Zheng, Li Hong, Xiaohong Shu, et al.. (2012). Distinct sulfonation activities in resveratrol‐sensitive and resveratrol‐insensitive human glioblastoma cells. FEBS Journal. 279(13). 2381–2392. 24 indexed citations
15.
Wang, Qian Qian, Jingxin Ma, Xianghong Yang, et al.. (2011). CRABP‐II methylation: A critical determinant of retinoic acid resistance of medulloblastoma cells. Molecular Oncology. 6(1). 48–61. 33 indexed citations
16.
Shu, Xiaohong, Hong Li, Xiaoxin Sun, et al.. (2011). Metabolic Patterns and Biotransformation Activities of Resveratrol in Human Glioblastoma Cells: Relevance with Therapeutic Efficacies. PLoS ONE. 6(11). e27484–e27484. 30 indexed citations
17.
Chen, Nannan, Yan Li, Mo‐Li Wu, et al.. (2011). CRABP‐II‐ and FABP5‐independent all‐trans retinoic acid resistance in COLO 16 human cutaneous squamous cancer cells. Experimental Dermatology. 21(1). 13–18. 22 indexed citations
18.
Shu, Xiaohong, Hong Li, Zheng Sun, et al.. (2010). Identification of metabolic pattern and bioactive form of resveratrol in human medulloblastoma cells. Biochemical Pharmacology. 79(10). 1516–1525. 30 indexed citations
19.
Li, Yan, Zhili Liu, Kaili Zhang, et al.. (2009). Methylation‐associated silencing of S100A4 expression in human epidermal cancers. Experimental Dermatology. 18(10). 842–848. 18 indexed citations
20.
Chen, Xiaohong, Qing‐You Kong, Yuan Sun, et al.. (2007). Expression of seven gastric cancer‐associated genes and its relevance for Wnt, NF‐κB and Stat3 signaling. Apmis. 115(12). 1331–1343. 28 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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