Shusen Xia

592 total citations
13 papers, 497 citations indexed

About

Shusen Xia is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Shusen Xia has authored 13 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Shusen Xia's work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers) and Cancer-related molecular mechanisms research (6 papers). Shusen Xia is often cited by papers focused on MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers) and Cancer-related molecular mechanisms research (6 papers). Shusen Xia collaborates with scholars based in China. Shusen Xia's co-authors include Guangjun Zhang, Hongpeng Tian, Tong Zhou, Zuo-Liang Liu, Zuoliang Liu, Tong Zhou, Yi He, Ziwei Wang, Xuegui Tang and Daizhi Liu and has published in prestigious journals such as Oncotarget, International Journal of Molecular Medicine and International Journal of Colorectal Disease.

In The Last Decade

Shusen Xia

12 papers receiving 495 citations

Peers

Shusen Xia
Xun Zhu China
Qun Zhang China
Kui Tian China
Shusen Xia
Citations per year, relative to Shusen Xia Shusen Xia (= 1×) peers Haijiao Yan

Countries citing papers authored by Shusen Xia

Since Specialization
Citations

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

Fields of papers citing papers by Shusen Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shusen Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Shusen Xia. A scholar is included among the top collaborators of Shusen Xia 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 Shusen Xia. Shusen Xia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
2.
Xia, Shusen, Xianyan Wang, Yi Wu, et al.. (2022). miR-22 Suppresses EMT by Mediating Metabolic Reprogramming in Colorectal Cancer through Targeting MYC-Associated Factor X. Disease Markers. 2022. 1–20. 11 indexed citations
3.
Xia, Shusen, et al.. (2020). Discovery of Prognostic Signature Genes for Overall Survival Prediction in Gastric Cancer. Computational and Mathematical Methods in Medicine. 2020. 1–9. 14 indexed citations
4.
Xue, Yuan, Xuemei Tang, Shusen Xia, et al.. (2020). <p>Cytochrome C Oxidase Assembly Factor 1 Homolog Predicts Poor Prognosis and Promotes Cell Proliferation in Colorectal Cancer by Regulating PI3K/AKT Signaling</p>. OncoTargets and Therapy. Volume 13. 11505–11516. 6 indexed citations
5.
Liu, Zuo-Liang, Shusen Xia, Hongpeng Tian, et al.. (2019). Chondroitin sulfate modification enhances the targeting and therapeutic effect of nanomedicine on AOM/DSS-induced mouse colon cancer. Journal of Drug Delivery Science and Technology. 52. 1–7. 18 indexed citations
6.
Zhang, Guangjun, Guodong Yang, Shusen Xia, et al.. (2017). MiR-92a promotes stem cell-like properties by activating Wnt/β-catenin signaling in colorectal cancer. Oncotarget. 8(60). 101760–101770. 43 indexed citations
7.
Xia, Shusen, Guangjun Zhang, Zuo-Liang Liu, et al.. (2017). MicroRNA-22 suppresses the growth, migration and invasion of colorectal cancer cells through a Sp1 negative feedback loop. Oncotarget. 8(22). 36266–36278. 37 indexed citations
8.
Zhou, Tong, Guangjun Zhang, Hongpeng Tian, Zuoliang Liu, & Shusen Xia. (2014). Laparoscopic rectal resection versus open rectal resection with minilaparotomy for invasive rectal cancer.. PubMed. 5(1). 36–45. 13 indexed citations
9.
Zhang, Guangjun, Tong Zhou, Zuo-Liang Liu, Hongpeng Tian, & Shusen Xia. (2013). Plasma miR-200c and miR-18a as potential biomarkers for the detection of colorectal carcinoma. Molecular and Clinical Oncology. 1(2). 379–384. 47 indexed citations
10.
Zhang, Guangjun, et al.. (2013). Upregulation of microRNA-155 promotes the migration and invasion of colorectal cancer cells through the regulation of claudin-1 expression. International Journal of Molecular Medicine. 31(6). 1375–1380. 97 indexed citations
11.
Zhou, Tong, Guangjun Zhang, Zuoliang Liu, Shusen Xia, & Hongpeng Tian. (2012). Overexpression of miR-92a correlates with tumor metastasis and poor prognosis in patients with colorectal cancer. International Journal of Colorectal Disease. 28(1). 19–24. 81 indexed citations
12.
Zhang, Guangjun, Shusen Xia, Hongpeng Tian, Zuoliang Liu, & Tong Zhou. (2012). Clinical significance of miR-22 expression in patients with colorectal cancer. Medical Oncology. 29(5). 3108–3112. 59 indexed citations
13.
Zhang, Guangjun, Tong Zhou, Hongpeng Tian, Zuo-Liang Liu, & Shusen Xia. (2012). High expression of ZEB1 correlates with liver metastasis and poor prognosis in colorectal cancer. Oncology Letters. 5(2). 564–568. 71 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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