Chungen Xing

2.9k total citations · 1 hit paper
111 papers, 2.3k citations indexed

About

Chungen Xing is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Chungen Xing has authored 111 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 47 papers in Cancer Research and 38 papers in Oncology. Recurrent topics in Chungen Xing's work include Cancer-related molecular mechanisms research (28 papers), MicroRNA in disease regulation (15 papers) and RNA modifications and cancer (14 papers). Chungen Xing is often cited by papers focused on Cancer-related molecular mechanisms research (28 papers), MicroRNA in disease regulation (15 papers) and RNA modifications and cancer (14 papers). Chungen Xing collaborates with scholars based in China, United States and Taiwan. Chungen Xing's co-authors include Tong Liu, Lihua Chen, Ran Guo, Xiaodong Yang, Yong Wu, Xiaohui Xu, Kui Zhao, Yecheng Li, Zhaohui Huang and Leyuan Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Chungen Xing

106 papers receiving 2.2k citations

Hit Papers

Pain regulation by gut microbiota: molecular mechanisms a... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Pain regulation by gut microbiota: molecular mechanisms and therapeutic potential
    2019 269 citations Chungen Xing et al. profile →

Peers

Chungen Xing
Gabriella Misso Italy
Shizhong Bu China
Liang Zhou China
Xin Yan China
Hongyu Liu China
Péter Hamar Hungary
Rui Huang China
Min Liang China
Ji‐Min Zhu China
Gabriella Misso Italy
Chungen Xing
Citations per year, relative to Chungen Xing Chungen Xing (= 1×) peers Gabriella Misso

Countries citing papers authored by Chungen Xing

Since Specialization
Citations

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

Fields of papers citing papers by Chungen Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chungen Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Chungen Xing. A scholar is included among the top collaborators of Chungen Xing 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 Chungen Xing. Chungen Xing 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.
Zhang, Xiaoyang, et al.. (2025). Machine learning combined with body composition predicts surgical difficulty in mid-low rectal cancer surgery. Annals of Medicine. 57(1). 2582235–2582235.
2.
Li, Yecheng, Ziyi Yang, Wenjing Li, et al.. (2024). Tumor microenvironment reprogramming combined with immunogenic enhancement by nanoemulsions potentiates immunotherapy. Journal of Nanobiotechnology. 22(1). 154–154. 7 indexed citations
3.
Guo, Xinyu, Tianming Cui, Linmao Sun, et al.. (2024). A STT3A-dependent PD-L1 glycosylation modification mediated by GMPS drives tumor immune evasion in hepatocellular carcinoma. Cell Death and Differentiation. 32(5). 944–958. 12 indexed citations
4.
Dai, Zhihui, Lin Chen, Xiaoya Zhao, et al.. (2023). Multi-omics Analysis of the Role of PHGDH in Colon Cancer. Technology in Cancer Research & Treatment. 22. 2213887882–2213887882. 7 indexed citations
5.
Hu, Weixin, et al.. (2023). Ultra-processed food consumption and cardiovascular events risk. European Heart Journal. 44(Supplement_2). 1 indexed citations
6.
Peng, Wei, Ming Cheng, Tianhua Liu, et al.. (2023). Laparoscopic proximal gastrectomy with right-sided overlap and single-flap valvuloplasty (ROSF): a case-series study. BMC Surgery. 23(1). 90–90. 4 indexed citations
7.
8.
Wei, Jinrong, et al.. (2022). THUMPD3-AS1 facilitates cell growth and aggressiveness by the miR-218-5p/SKAP1 axis in colorectal cancer. Cell Biochemistry and Biophysics. 80(3). 483–494. 10 indexed citations
9.
Li, Cheng, Zhili Wang, Pi Ding, et al.. (2022). Development of Metal-Organic Framework-Based Dual Antibody Nanoparticles for the Highly Specific Capture and Gradual Release of Circulating Tumor Cells. Frontiers in Bioengineering and Biotechnology. 10. 806238–806238. 2 indexed citations
10.
Wang, Zhili, Zeen Wu, Pi Ding, et al.. (2021). Circulating tumor cells in colorectal cancer in the era of precision medicine. Journal of Molecular Medicine. 100(2). 197–213. 20 indexed citations
11.
Li, Xiao, Wei Gong, Xiaodong Lv, et al.. (2021). Cancer stage-dependent alterations in cell-free DNA in patients with colorectal cancer. Journal of B.U.ON. : official journal of the Balkan Union of Oncology. 26(1). 109–115. 5 indexed citations
12.
13.
Wang, Zhili, Zeen Wu, Pi Ding, et al.. (2021). Selective capture of circulating tumor cells by antifouling nanostructure substrate made of hydrogel nanoparticles. Colloids and Surfaces B Biointerfaces. 202. 111669–111669. 11 indexed citations
14.
Zhao, Ke, et al.. (2020). LncRNA FTX Contributes to the Progression of Colorectal Cancer Through Regulating miR-192-5p/EIF5A2 Axis. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Xing, Chungen, et al.. (2019). PDZRN4 -mediated colon cancer cell proliferation and dissemination is regulated by miR-221-3p. Translational Cancer Research. 8(4). 1289–1300. 1 indexed citations
16.
Zhao, Zhihong, et al.. (2017). Expression of aldehyde dehydrogenase 1 and ATP-binding cassette superfamily G member 2 is enhanced in primary foci and metastatic lymph node from patients with triple-negative breast cancer. Biomedical Research-tokyo. 28(11). 5078–5083. 11 indexed citations
17.
Xia, Jiazeng, et al.. (2016). Cullin-1 Promotes Cell Proliferation in Human Breast Cancer and is Related to Diabetes. The International Journal of Biological Markers. 31(4). 375–381. 7 indexed citations
18.
Huang, Guanli, Xiangjian Chen, Yefeng Cai, Xiaobo Wang, & Chungen Xing. (2016). miR-20a-directed regulation of BID is associated with the TRAIL sensitivity in colorectal cancer. Oncology Reports. 37(1). 571–578. 43 indexed citations
19.
Li, Ya, et al.. (2016). Preclinical study of cinobufagin as a promising anti-colorectal cancer agent. Oncotarget. 8(1). 988–998. 36 indexed citations
20.
Ding, Yunpeng, Xiaodong Yang, Yong Wu, & Chungen Xing. (2014). Autophagy promotes the survival and development of tumors by participating in the formation of vasculogenic mimicry. Oncology Reports. 31(5). 2321–2327. 19 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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