Shouping Xu

3.3k total citations
59 papers, 2.3k citations indexed

About

Shouping Xu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shouping Xu has authored 59 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 37 papers in Cancer Research and 13 papers in Oncology. Recurrent topics in Shouping Xu's work include Cancer-related molecular mechanisms research (25 papers), RNA modifications and cancer (22 papers) and RNA Research and Splicing (11 papers). Shouping Xu is often cited by papers focused on Cancer-related molecular mechanisms research (25 papers), RNA modifications and cancer (22 papers) and RNA Research and Splicing (11 papers). Shouping Xu collaborates with scholars based in China and United States. Shouping Xu's co-authors include Da Pang, Shiyao Sui, Peiyuan Wang, Shipeng Ning, Zilong You, Qin Wang, Jinfeng Zhang, Lin Wan, Xingda Zhang and Yanyan Ping and has published in prestigious journals such as Advanced Materials, Nature Communications and Cancer Research.

In The Last Decade

Shouping Xu

57 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shouping Xu China 27 1.7k 1.5k 562 290 170 59 2.3k
Lanbo Xiao United States 22 2.2k 1.3× 1.5k 1.0× 296 0.5× 416 1.4× 134 0.8× 36 2.7k
Haoming Lin China 16 1.1k 0.6× 784 0.5× 513 0.9× 237 0.8× 150 0.9× 47 1.8k
Kaihua Lu China 24 2.0k 1.1× 1.5k 1.0× 256 0.5× 412 1.4× 151 0.9× 60 2.5k
Li Xie China 29 1.7k 1.0× 1.2k 0.8× 297 0.5× 495 1.7× 121 0.7× 105 2.4k
Xinhua Xie China 33 2.1k 1.2× 1.8k 1.2× 524 0.9× 870 3.0× 133 0.8× 76 3.1k
Lenka Radová Czechia 30 1.7k 1.0× 1.5k 1.0× 373 0.7× 441 1.5× 70 0.4× 135 2.7k
Xiaojin Song China 17 1.6k 0.9× 1.3k 0.9× 221 0.4× 441 1.5× 68 0.4× 29 2.2k
Rafael Malagoli Rocha Brazil 18 1.5k 0.9× 1.0k 0.7× 244 0.4× 639 2.2× 161 0.9× 49 2.2k

Countries citing papers authored by Shouping Xu

Since Specialization
Citations

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

Fields of papers citing papers by Shouping Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouping Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Shouping Xu. A scholar is included among the top collaborators of Shouping 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 Shouping Xu. Shouping 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
1.
Cai, Yideng, Meng Luo, Wenyi Yang, et al.. (2024). The Deep Learning Framework iCanTCR Enables Early Cancer Detection Using the T-cell Receptor Repertoire in Peripheral Blood. Cancer Research. 84(11). 1915–1928. 8 indexed citations
2.
Wang, Pingping, Shouping Xu, Tao Wang, et al.. (2024). Deciphering cell–cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention network. Nature Communications. 15(1). 7101–7101. 22 indexed citations
3.
Zhang, Lei, Jianli Ma, Lei Liu, et al.. (2023). Adaptive therapy: a tumor therapy strategy based on Darwinian evolution theory. Critical Reviews in Oncology/Hematology. 192. 104192–104192. 5 indexed citations
4.
Wang, Qin, Guozheng Li, Xin Ma, et al.. (2023). LncRNA TINCR impairs the efficacy of immunotherapy against breast cancer by recruiting DNMT1 and downregulating MiR-199a-5p via the STAT1–TINCR-USP20-PD-L1 axis. Cell Death and Disease. 14(2). 76–76. 44 indexed citations
5.
Wang, Mozhi, Ke‐Da Yu, Shouping Xu, et al.. (2022). Chronic stress-induced immune dysregulation in breast cancer: Implications of psychosocial factors. Journal of Translational Internal Medicine. 11(3). 226–233. 26 indexed citations
6.
Li, Wei, Yi Hao, Xingda Zhang, Shouping Xu, & Da Pang. (2022). Targeting RNA N6-methyladenosine modification: a precise weapon in overcoming tumor immune escape. Molecular Cancer. 21(1). 176–176. 31 indexed citations
7.
Li, Wei, Hao Wu, Shiyao Sui, et al.. (2021). Targeting Histone Modifications in Breast Cancer: A Precise Weapon on the Way. Frontiers in Cell and Developmental Biology. 9. 736935–736935. 29 indexed citations
8.
Li, Hui, Hao Wu, Qin Wang, et al.. (2021). Dual effects of N6-methyladenosine on cancer progression and immunotherapy. Molecular Therapy — Nucleic Acids. 24. 25–39. 29 indexed citations
9.
Ning, Shipeng, Yang Zheng, Kun Qiao, et al.. (2021). Laser-triggered combination therapy by iron sulfide-doxorubicin@functionalized nanozymes for breast cancer therapy. Journal of Nanobiotechnology. 19(1). 344–344. 25 indexed citations
10.
Zhang, Jinfeng, Zilong You, Guozheng Li, et al.. (2021). Expression and prognostic values of ARID family members in breast cancer. Aging. 13(4). 5621–5637. 20 indexed citations
11.
Wang, Qin, Zilong You, Yanling Yin, et al.. (2021). LncRNA TINCR favors tumorigenesis via STAT3–TINCR–EGFR-feedback loop by recruiting DNMT1 and acting as a competing endogenous RNA in human breast cancer. Cell Death and Disease. 12(1). 83–83. 34 indexed citations
12.
Xu, Shouping, Qin Wang, Yanling Yin, et al.. (2020). Long Noncoding RNAs Control the Modulation of Immune Checkpoint Molecules in Cancer. Cancer Immunology Research. 8(7). 937–951. 42 indexed citations
13.
Qiao, Kun, Shipeng Ning, Lin Wan, et al.. (2019). LINC00673 is activated by YY1 and promotes the proliferation of breast cancer cells via the miR-515-5p/MARK4/Hippo signaling pathway. Journal of Experimental & Clinical Cancer Research. 38(1). 418–418. 127 indexed citations
14.
15.
Xu, Shouping, et al.. (2017). Oncogenic long noncoding RNA landscape in breast cancer. Molecular Cancer. 16(1). 129–129. 174 indexed citations
16.
Gao, Song, Anqi Ge, Shouping Xu, et al.. (2017). PSAT1 is regulated by ATF4 and enhances cell proliferation via the GSK3β/β-catenin/cyclin D1 signaling pathway in ER-negative breast cancer. Journal of Experimental & Clinical Cancer Research. 36(1). 179–179. 111 indexed citations
17.
Zhang, Guangwen, Bingshu Xia, Tong Liu, et al.. (2016). A High-Quality Biobank Supports Breast Cancer Research in Harbin, China. Biopreservation and Biobanking. 14(5). 375–382. 8 indexed citations
18.
Xu, Shouping, Shiyao Sui, Jinfeng Zhang, et al.. (2015). Downregulation of long noncoding RNA MALAT1 induces epithelial-to-mesenchymal transition via the PI3K-AKT pathway in breast cancer.. PubMed. 8(5). 4881–91. 127 indexed citations
19.
Xu, Shouping, Yumei Yang, Weiyang Tao, et al.. (2012). Tamoxifen adherence and its relationship to mortality in 116 men with breast cancer. Breast Cancer Research and Treatment. 136(2). 495–502. 46 indexed citations
20.
Xu, Shouping, et al.. (1995). [Clinical observation on vertical transmission of human papillomavirus].. PubMed. 30(8). 457–9. 2 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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