Sunwang Xu

1.3k total citations
34 papers, 939 citations indexed

About

Sunwang Xu is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Sunwang Xu has authored 34 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 20 papers in Cancer Research and 15 papers in Surgery. Recurrent topics in Sunwang Xu's work include Cholangiocarcinoma and Gallbladder Cancer Studies (15 papers), MicroRNA in disease regulation (9 papers) and Cancer-related molecular mechanisms research (9 papers). Sunwang Xu is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (15 papers), MicroRNA in disease regulation (9 papers) and Cancer-related molecular mechanisms research (9 papers). Sunwang Xu collaborates with scholars based in China, United States and France. Sunwang Xu's co-authors include Jian Wang, Ming Zhan, Man Mohan, Wei Chen, Shuai Huang, Xince Huang, Min He, Ruirong Lin, Manmei Long and Yongheng Shi and has published in prestigious journals such as Nature Communications, Oncogene and Scientific Reports.

In The Last Decade

Sunwang Xu

31 papers receiving 931 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunwang Xu China 16 679 526 243 177 84 34 939
Jin Zhu China 12 863 1.3× 734 1.4× 209 0.9× 89 0.5× 49 0.6× 19 1.1k
Quan Hao China 18 659 1.0× 574 1.1× 167 0.7× 72 0.4× 69 0.8× 37 994
Sui-Sui Dong China 10 650 1.0× 366 0.7× 250 1.0× 67 0.4× 71 0.8× 10 936
Julieta Afonso Portugal 14 449 0.7× 381 0.7× 132 0.5× 129 0.7× 81 1.0× 27 715
Ming Quan China 18 584 0.9× 264 0.5× 200 0.8× 79 0.4× 101 1.2× 37 799
Niels Fristrup Denmark 14 897 1.3× 707 1.3× 126 0.5× 332 1.9× 189 2.3× 27 1.2k
Dongjian Ji China 17 848 1.2× 606 1.2× 191 0.8× 47 0.3× 111 1.3× 28 1.0k
Ruihui Xie China 15 1.0k 1.5× 699 1.3× 212 0.9× 226 1.3× 240 2.9× 25 1.3k
Wensheng Qiu China 17 518 0.8× 271 0.5× 215 0.9× 83 0.5× 162 1.9× 71 842
Mitsukazu Gotoh Japan 18 365 0.5× 275 0.5× 300 1.2× 187 1.1× 108 1.3× 30 820

Countries citing papers authored by Sunwang Xu

Since Specialization
Citations

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

Fields of papers citing papers by Sunwang Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunwang Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Sunwang Xu. A scholar is included among the top collaborators of Sunwang Xu 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 Sunwang Xu. Sunwang Xu 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
2.
Jiang, Chun‐Yi, Youzhi Zhu, Weiwei Li, et al.. (2025). NR4A1 suppresses breast cancer growth by repressing c-Fos-mediated lipid and redox dyshomeostasis. Experimental & Molecular Medicine. 57(4). 804–819. 1 indexed citations
3.
Lin, Wei-Chun, et al.. (2024). Expression of histone methyltransferase WHSC1 in invasive breast cancer and its correlation with clinical and pathological data. Pathology - Research and Practice. 263. 155647–155647.
4.
Xu, Sunwang, et al.. (2024). DNMT3A Cooperates with YAP/TAZ to Drive Gallbladder Cancer Metastasis. Advanced Science. 11(16). e2308531–e2308531. 14 indexed citations
5.
Li, Weiwei, et al.. (2024). Homogentisic acid metabolism inhibits papillary thyroid carcinoma proliferation through ROS and p21-induced cell cycle arrest. Life Sciences. 347. 122682–122682. 3 indexed citations
6.
Zhang, Jiasheng, Junyu Lin, Sunwang Xu, et al.. (2023). Construction of a risk model based on N6-methyladenosine-related lncRNAs for predicting the prognosis of breast cancer. Journal of Biosciences. 48(3).
7.
Zhu, Youzhi, Jiasheng Zhang, Sunwang Xu, et al.. (2023). SENP3 promotes tumor progression and is a novel prognostic biomarker in triple-negative breast cancer. Frontiers in Oncology. 12. 4 indexed citations
8.
Chen, Huaying, Junyu Lin, Weiwei Li, et al.. (2023). Targeting c-Jun inhibits fatty acid oxidation to overcome tamoxifen resistance in estrogen receptor-positive breast cancer. Cell Death and Disease. 14(10). 653–653. 23 indexed citations
9.
Wu, Kunlin, Huihao Zhang, Ling Chen, et al.. (2022). Histone deacetylase inhibitor panobinostat in combination with rapamycin confers enhanced efficacy against triple-negative breast cancer. Experimental Cell Research. 421(1). 113362–113362. 8 indexed citations
10.
He, Jianli, et al.. (2022). NR4A1 promotes LEF1 expression in the pathogenesis of papillary thyroid cancer. Cell Death Discovery. 8(1). 46–46. 11 indexed citations
11.
Xu, Sunwang, Junyu Lin, Xiaoyu Liu, et al.. (2021). Loss of ID3 drives papillary thyroid cancer metastasis by targeting E47-mediated epithelial to mesenchymal transition. Cell Death Discovery. 7(1). 226–226. 10 indexed citations
12.
Lin, Ruirong, Ming Zhan, Linhua Yang, et al.. (2020). Deoxycholic acid modulates the progression of gallbladder cancer through N6-methyladenosine-dependent microRNA maturation. Oncogene. 39(26). 4983–5000. 76 indexed citations
13.
Huang, Shuai, Hui Wang, Wei Chen, et al.. (2019). Tamoxifen inhibits cell proliferation by impaired glucose metabolism in gallbladder cancer. Journal of Cellular and Molecular Medicine. 24(2). 1599–1613. 13 indexed citations
14.
Xu, Sunwang, Ming Zhan, Min He, et al.. (2019). Genome-wide CRISPR screen identifies ELP5 as a determinant of gemcitabine sensitivity in gallbladder cancer. Nature Communications. 10(1). 5492–5492. 70 indexed citations
15.
Shen, Hui, Min He, Ruirong Lin, et al.. (2019). PLEK2 promotes gallbladder cancer invasion and metastasis through EGFR/CCL2 pathway. Journal of Experimental & Clinical Cancer Research. 38(1). 247–247. 71 indexed citations
16.
Huang, Xince, Min He, Shuai Huang, et al.. (2019). Circular RNA circERBB2 promotes gallbladder cancer progression by regulating PA2G4-dependent rDNA transcription. Molecular Cancer. 18(1). 166–166. 77 indexed citations
17.
Shen, Hui, Ming Zhan, Yonglong Zhang, et al.. (2018). PLZF inhibits proliferation and metastasis of gallbladder cancer by regulating IFIT2. Cell Death and Disease. 9(2). 71–71. 38 indexed citations
18.
Long, Manmei, Ming Zhan, Sunwang Xu, et al.. (2017). miR-92b-3p acts as a tumor suppressor by targeting Gabra3 in pancreatic cancer. Molecular Cancer. 16(1). 167–167. 90 indexed citations
19.
Xu, Sunwang, Ming Zhan, & Jian Wang. (2017). Epithelial-to-mesenchymal transition in gallbladder cancer: from clinical evidence to cellular regulatory networks. Cell Death Discovery. 3(1). 17069–17069. 36 indexed citations
20.
Zhan, Ming, Xiaonan Zhao, Hui Wang, et al.. (2016). miR-145 sensitizes gallbladder cancer to cisplatin by regulating multidrug resistance associated protein 1. Tumor Biology. 37(8). 10553–10562. 48 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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