Xuanxuan Dai

1.5k total citations
40 papers, 1.2k citations indexed

About

Xuanxuan Dai is a scholar working on Molecular Biology, Oncology and Toxicology. According to data from OpenAlex, Xuanxuan Dai has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Oncology and 10 papers in Toxicology. Recurrent topics in Xuanxuan Dai's work include Bioactive Compounds and Antitumor Agents (10 papers), Cytokine Signaling Pathways and Interactions (10 papers) and Genomics, phytochemicals, and oxidative stress (8 papers). Xuanxuan Dai is often cited by papers focused on Bioactive Compounds and Antitumor Agents (10 papers), Cytokine Signaling Pathways and Interactions (10 papers) and Genomics, phytochemicals, and oxidative stress (8 papers). Xuanxuan Dai collaborates with scholars based in China, United States and Australia. Xuanxuan Dai's co-authors include Ouchen Wang, Guang Liang, Xiaohua Zhang, Chengguang Zhao, Youqun Xiang, Jinmiao Qu, Xiaohua Zhang, Xiaoqu Hu, Lehe Yang and Vinothkumar Rajamanickam and has published in prestigious journals such as British Journal of Cancer, British Journal of Pharmacology and Frontiers in Immunology.

In The Last Decade

Xuanxuan Dai

39 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
Xuanxuan Dai China 23 683 263 239 189 132 40 1.2k
Qingdi Quentin Li China 18 393 0.6× 183 0.7× 133 0.6× 85 0.4× 77 0.6× 28 841
Malisetty V. Swamy United States 15 719 1.1× 328 1.2× 267 1.1× 76 0.4× 50 0.4× 20 1.3k
Paola Avena Italy 20 490 0.7× 200 0.8× 323 1.4× 105 0.6× 51 0.4× 33 1.2k
Arianna De Luca Italy 18 523 0.8× 186 0.7× 359 1.5× 111 0.6× 51 0.4× 31 1.3k
R Lubet United States 16 685 1.0× 322 1.2× 230 1.0× 70 0.4× 343 2.6× 32 1.5k
Wei-Jiunn Lee Taiwan 24 999 1.5× 311 1.2× 413 1.7× 41 0.2× 73 0.6× 42 1.6k
David P. Berry United Kingdom 17 942 1.4× 273 1.0× 170 0.7× 118 0.6× 882 6.7× 23 1.7k
Giuseppa Augello Italy 21 529 0.8× 165 0.6× 192 0.8× 41 0.2× 45 0.3× 35 1.0k
Lalitha Ramachandran Singapore 8 557 0.8× 197 0.7× 203 0.8× 27 0.1× 60 0.5× 11 1.0k
T. R. Santhosh Kumar India 19 484 0.7× 135 0.5× 99 0.4× 72 0.4× 82 0.6× 40 992

Countries citing papers authored by Xuanxuan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xuanxuan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuanxuan Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xuanxuan Dai. A scholar is included among the top collaborators of Xuanxuan Dai 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 Xuanxuan Dai. Xuanxuan Dai 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.
Cheng, Yao, et al.. (2025). Formosanin C inhibits triple-negative breast cancer progression by suppressing the phosphorylation of STAT3 and the polarization of M2 macrophages. Breast Cancer Research and Treatment. 211(1). 71–89. 3 indexed citations
2.
Zhou, Feng, Yizhou Quan, Hongyan Qu, et al.. (2024). Demethylzeylasteral exerts potent efficacy against non-small-cell lung cancer via the P53 signaling pathway. Translational Oncology. 46. 101989–101989. 4 indexed citations
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Liu, Conghui, Ying Bai, Lehe Yang, et al.. (2023). Acetyl-cinobufagin suppresses triple-negative breast cancer progression by inhibiting the STAT3 pathway. Aging. 15(16). 8258–8274. 11 indexed citations
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Yin, Changtian, Xuanxuan Dai, Xiangjie Huang, et al.. (2019). Alantolactone promotes ER stress‐mediated apoptosis by inhibition of TrxR1 in triple‐negative breast cancer cell lines and in a mouse model. Journal of Cellular and Molecular Medicine. 23(3). 2194–2206. 32 indexed citations
9.
Yang, Lehe, Jifa Li, Lingyuan Xu, et al.. (2019). <p>Rhein shows potent efficacy against non-small-cell lung cancer through inhibiting the STAT3 pathway</p>. Cancer Management and Research. Volume 11. 1167–1176. 45 indexed citations
10.
Zheng, Hailun, Lehe Yang, Min Chen, et al.. (2018). Alantolactone sensitizes human pancreatic cancer cells to EGFR inhibitors through the inhibition of STAT3 signaling. Molecular Carcinogenesis. 58(4). 565–576. 53 indexed citations
11.
Yang, Lehe, Youqun Xiang, Wanle Hu, et al.. (2018). L61H46 shows potent efficacy against human pancreatic cancer through inhibiting STAT3 pathway. Cancer Management and Research. Volume 10. 565–581. 14 indexed citations
12.
Chen, Feng, Yiqun Xia, Peng Zou, et al.. (2017). Curcumin analog L48H37 induces apoptosis through ROS‐mediated endoplasmic reticulum stress and STAT3 pathways in human lung cancer cells. Molecular Carcinogenesis. 56(7). 1765–1777. 45 indexed citations
13.
Hu, Yan, Chengguang Zhao, Hailun Zheng, et al.. (2017). A novel STAT3 inhibitor HO-3867 induces cell apoptosis by reactive oxygen species-dependent endoplasmic reticulum stress in human pancreatic cancer cells. Anti-Cancer Drugs. 28(4). 392–400. 23 indexed citations
14.
Chen, Ruijie, Vladimir L. Katanaev, Zia A. Khan, et al.. (2017). Costunolide specifically binds and inhibits thioredoxin reductase 1 to induce apoptosis in colon cancer. Cancer Letters. 412. 46–58. 42 indexed citations
15.
Dai, Xuanxuan, Guilong Guo, Peng Zou, et al.. (2017). (S)-crizotinib induces apoptosis in human non-small cell lung cancer cells by activating ROS independent of MTH1. Journal of Experimental & Clinical Cancer Research. 36(1). 120–120. 31 indexed citations
16.
Yang, Fan, Lin Lv, Siyang Dong, et al.. (2016). Identification of lncRNA<em> FAM83H-AS1</em> as a novel prognostic marker in luminal subtype breast cancer. OncoTargets and Therapy. Volume 9. 7039–7045. 38 indexed citations
17.
He, Guodong, Feng Chen, Vinothkumar Rajamanickam, et al.. (2016). Curcumin analog EF24 induces apoptosis via ROS-dependent mitochondrial dysfunction in human colorectal cancer cells. Cancer Chemotherapy and Pharmacology. 78(6). 1151–1161. 65 indexed citations
18.
Zeng, Ruichao, et al.. (2013). Severe Thrombocytopenia Induced by Second Exposure to Trastuzumab Can Be Alleviated by Prolonging the Interval Between Treatments. Clinical Breast Cancer. 14(2). e69–e72. 4 indexed citations
19.
Zhou, Yili, Chao Liu, Xuanxuan Dai, Xiaohua Zhang, & Ouchen Wang. (2012). Overexpression of miR-221 is associated with aggressive clinicopathologic characteristics and the BRAF mutation in papillary thyroid carcinomas. Medical Oncology. 29(5). 3360–3366. 33 indexed citations
20.
Wang, Ouchen, et al.. (2010). The BRAF Mutation Is Predictive of Aggressive Clinicopathological Characteristics in Papillary Thyroid Microcarcinoma. Annals of Surgical Oncology. 17(12). 3294–3300. 145 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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