Shengjun Xiao

931 total citations
41 papers, 631 citations indexed

About

Shengjun Xiao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shengjun Xiao has authored 41 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 14 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Shengjun Xiao's work include Cancer-related molecular mechanisms research (7 papers), Cancer-related gene regulation (6 papers) and RNA modifications and cancer (5 papers). Shengjun Xiao is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Cancer-related gene regulation (6 papers) and RNA modifications and cancer (5 papers). Shengjun Xiao collaborates with scholars based in China, Japan and United States. Shengjun Xiao's co-authors include Sien Zeng, Xiaoling Zhang, Dong Xiao, Xinglong Yang, Xiaoling Zhang, Kai‐Tai Yao, Yunqian Li, Jun-Shuang Jia, Guang‐Hui Xiao and Si-Pei Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Acta Biomaterialia.

In The Last Decade

Shengjun Xiao

39 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengjun Xiao China 16 391 165 155 87 82 41 631
Xi Yu China 15 410 1.0× 227 1.4× 162 1.0× 101 1.2× 71 0.9× 43 747
Don Wai‐Ching Chin Hong Kong 7 494 1.3× 210 1.3× 113 0.7× 97 1.1× 47 0.6× 8 631
Shuang Lin China 15 442 1.1× 255 1.5× 163 1.1× 115 1.3× 48 0.6× 34 778
Tao Pan China 11 315 0.8× 157 1.0× 227 1.5× 122 1.4× 94 1.1× 22 627
Xipeng Zhang China 14 293 0.7× 213 1.3× 160 1.0× 70 0.8× 81 1.0× 38 572
Zhenhua Lin China 17 451 1.2× 189 1.1× 217 1.4× 108 1.2× 105 1.3× 55 814
Lanping Zhou China 15 362 0.9× 166 1.0× 130 0.8× 71 0.8× 55 0.7× 23 523
Lu Hao China 13 321 0.8× 123 0.7× 131 0.8× 114 1.3× 51 0.6× 50 548
Souzan Najafi Iran 15 416 1.1× 254 1.5× 226 1.5× 75 0.9× 92 1.1× 35 726
Justine Bellier Belgium 11 270 0.7× 159 1.0× 211 1.4× 55 0.6× 130 1.6× 11 632

Countries citing papers authored by Shengjun Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Shengjun Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengjun Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Shengjun Xiao. A scholar is included among the top collaborators of Shengjun Xiao 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 Shengjun Xiao. Shengjun Xiao 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.
Wang, Jing, Shengjun Xiao, Ning Zhang, et al.. (2025). Establishment and application of a wild neonatal mouse model infected with an Echovirus 30 isolate. Virology Journal. 22(1). 69–69.
2.
3.
Yang, Fan, et al.. (2024). PDLIM7 Promotes Tumor Metastasis in Papillary Thyroid Carcinoma via Stabilizing Focal Adhesion Kinase Protein. Thyroid. 34(5). 598–610. 4 indexed citations
4.
Hu, Yi, et al.. (2024). Progress of Angiogenesis Signal Pathway and Antiangiogenic Drugs inNasopharyngeal Carcinoma. Current Molecular Pharmacology. 17. e18761429290933–e18761429290933. 2 indexed citations
5.
Zhang, Xiaoling, Xiaoyu Wang, Liting Jia, et al.. (2022). CtBP1 Mediates Hypoxia-Induced Sarcomatoid Transformation in Hepatocellular Carcinoma. SHILAP Revista de lepidopterología. 5 indexed citations
6.
Liu, Yi, et al.. (2022). Curcumin protects islet beta cells from streptozotocin‑induced type 2 diabetes mellitus injury via its antioxidative effects. Endokrynologia Polska. 73(6). 942–946. 11 indexed citations
7.
Wang, Ling‐Yu, Shengjun Xiao, Hiroyuki Kunimoto, et al.. (2021). Sequestration of RBM10 in Nuclear Bodies: Targeting Sequences and Biological Significance. International Journal of Molecular Sciences. 22(19). 10526–10526. 6 indexed citations
8.
Chen, Huoying, et al.. (2021). HMGB1 Translocation is Associated with Tumor-Associated Myeloid Cells and Involved in the Progression of Fibroblastic Sarcoma. Pathology & Oncology Research. 27. 608582–608582. 3 indexed citations
9.
Chen, Huoying, et al.. (2021). PD1/PDL1 expression is associated with increased TIM3 expression and tumor-infiltrating T lymphocytes in fibroblastic tumors. Clinical & Translational Oncology. 24(3). 586–596. 3 indexed citations
10.
Zhang, Xiaoling, Zijian Li, Ying Zhou, et al.. (2021). MST4 negatively regulates the EMT, invasion and metastasis of HCC cells by inactivating PI3K/AKT/Snail1 axis. Journal of Cancer. 12(15). 4463–4477. 21 indexed citations
11.
Hao, Wei-Chao, Jing Li, Wentao Zhao, et al.. (2020). MST4 inhibits human hepatocellular carcinoma cell proliferation and induces cell cycle arrest via suppression of PI3K/AKT pathway. Journal of Cancer. 11(17). 5106–5117. 15 indexed citations
12.
Li, Jing, Taoyan Lin, Lin Chen, et al.. (2020). miR-19 regulates the expression of interferon-induced genes and MHC class I genes in human cancer cells. International Journal of Medical Sciences. 17(7). 953–964. 35 indexed citations
13.
Li, Juan, Tianxu Liu, Guojun Jiang, et al.. (2019). Suppression of inflammation by ethanol extract of Clausena lansium via modulation of TLR4/MYD88/TRAF6 signaling pathway in RAW 264.7 macrophages. SHILAP Revista de lepidopterología. 17. 3 indexed citations
14.
Lin, Taoyan, Yan Chen, Jun-Shuang Jia, et al.. (2019). <p>Loss of Cirbp expression is correlated with the malignant progression and poor prognosis in nasopharyngeal carcinoma</p>. Cancer Management and Research. Volume 11. 6959–6969. 12 indexed citations
15.
Yang, Yang, et al.. (2019). <p>F factor plasmid-mediated Epstein-Barr virus genome introduction establishes an EBV positive NPC cell model</p>. Cancer Management and Research. Volume 11. 7377–7389. 3 indexed citations
16.
Yang, Xinglong, et al.. (2016). MicroRNA-146a affects the chemotherapeutic sensitivity and prognosis of advanced gastric cancer through the regulation of LIN52. Oncology Letters. 13(3). 1386–1392. 9 indexed citations
17.
18.
Liu, Xiaojia, Yunqian Li, Qiuyue Chen, Shengjun Xiao, & Sien Zeng. (2014). Up-regulating of RASD1 and Apoptosis of DU-145 Human Prostate Cancer Cells Induced by Formononetin in Vitro. Asian Pacific Journal of Cancer Prevention. 15(6). 2835–2839. 32 indexed citations
19.
Zhang, Xiaoling, et al.. (2013). CtBP1 is involved in epithelial-mesenchymal transition and is a potential therapeutic target for hepatocellular carcinoma. Oncology Reports. 30(2). 809–814. 23 indexed citations
20.
Yang, Xinglong, Gong Zhang, Si-Pei Wu, et al.. (2013). Nuclear β-catenin accumulation is associated with increased expression of Nanog protein and predicts poor prognosis of non-small cell lung cancer. Journal of Translational Medicine. 11(1). 114–114. 66 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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