Chengzhong Xing

3.1k total citations
74 papers, 2.3k citations indexed

About

Chengzhong Xing is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Chengzhong Xing has authored 74 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 29 papers in Cancer Research and 20 papers in Oncology. Recurrent topics in Chengzhong Xing's work include Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (13 papers) and Genetic factors in colorectal cancer (13 papers). Chengzhong Xing is often cited by papers focused on Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (13 papers) and Genetic factors in colorectal cancer (13 papers). Chengzhong Xing collaborates with scholars based in China, Saint Kitts and Nevis and United States. Chengzhong Xing's co-authors include Zhenning Wang, Huimian Xu, Jingwei Liu, Yuan Yuan, Yongxi Song, Zhenyu Yue, Liping Sun, Yingying Xu, Caiyun He and Peng Gao and has published in prestigious journals such as PLoS ONE, Annals of Surgery and International Journal of Cancer.

In The Last Decade

Chengzhong Xing

74 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
Chengzhong Xing China 27 1.4k 971 479 369 326 74 2.3k
Rui Huang China 28 1.2k 0.8× 724 0.7× 673 1.4× 335 0.9× 482 1.5× 178 2.4k
Leping Li China 27 1.5k 1.1× 848 0.9× 494 1.0× 283 0.8× 327 1.0× 143 2.4k
Xin Yan China 25 1.2k 0.9× 522 0.5× 567 1.2× 202 0.5× 251 0.8× 161 2.2k
Ming-Hsui Tsai Taiwan 30 1.1k 0.8× 432 0.4× 610 1.3× 465 1.3× 330 1.0× 93 2.5k
Cheryl L. Thompson United States 27 946 0.7× 712 0.7× 648 1.4× 259 0.7× 228 0.7× 103 2.3k
Cong Wang China 26 1.2k 0.9× 1.1k 1.1× 443 0.9× 179 0.5× 374 1.1× 109 2.1k
Honghe Zhang China 32 2.1k 1.5× 1.7k 1.7× 716 1.5× 221 0.6× 406 1.2× 91 3.4k
Shengrong Sun China 28 1.2k 0.9× 842 0.9× 1.0k 2.1× 199 0.5× 421 1.3× 128 2.9k
Yiming Zhao China 31 1.4k 1.0× 679 0.7× 660 1.4× 306 0.8× 463 1.4× 102 2.9k
Chungen Xing China 25 1.3k 1.0× 1.0k 1.0× 470 1.0× 199 0.5× 218 0.7× 111 2.3k

Countries citing papers authored by Chengzhong Xing

Since Specialization
Citations

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

Fields of papers citing papers by Chengzhong Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengzhong Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Chengzhong Xing. A scholar is included among the top collaborators of Chengzhong 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 Chengzhong Xing. Chengzhong 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.
Liu, Jingwei, Ruohan Yang, Yubang Wang, et al.. (2024). Insights on E1-like enzyme ATG7: functional regulation and relationships with aging-related diseases. Communications Biology. 7(1). 382–382. 18 indexed citations
2.
Liu, Jingwei, Lixia Zheng, Qiqiang Guo, et al.. (2023). ATM-CHK2-TRIM32 axis regulates ATG7 ubiquitination to initiate autophagy under oxidative stress. Cell Reports. 42(11). 113402–113402. 14 indexed citations
3.
Liu, Xiaofang, et al.. (2022). Role of K63-linked ubiquitination in cancer. Cell Death Discovery. 8(1). 410–410. 38 indexed citations
4.
Hu, Hui‐Xin, Jingjing Jing, Xiaodong Lü, Yuan Yuan, & Chengzhong Xing. (2021). XPF expression and its relationship with the risk and prognosis of colorectal cancer. Cancer Cell International. 21(1). 12–12. 3 indexed citations
5.
Li, Yalun, Huizhe Wu, Chengzhong Xing, et al.. (2020). Prognostic evaluation of colorectal cancer using three new comprehensive indexes related to infection, anemia and coagulation derived from peripheral blood. Journal of Cancer. 11(13). 3834–3845. 23 indexed citations
6.
Zhang, Fuqiang, et al.. (2020). A Systematic Review and Meta-Analysis for the Association of Gene Polymorphisms in RAN with Cancer Risk. Disease Markers. 2020. 1–11. 5 indexed citations
7.
Zhang, Fuqiang, et al.. (2020). Screening of Pathogenic Genes for Colorectal Cancer and Deep Learning in the Diagnosis of Colorectal Cancer. IEEE Access. 8. 114916–114929. 11 indexed citations
8.
Liu, Jingwei, Hao Li, Liping Sun, Yuan Yuan, & Chengzhong Xing. (2020). Profiles of PD‐1, PD‐L1, PD‐L2 in Gastric Cancer and Their Relation with Mutation, Immune Infiltration, and Survival. BioMed Research International. 2020(1). 2496582–2496582. 12 indexed citations
9.
Xu, Qian, Liping Sun, Yuehua Gong, et al.. (2020). Nucleotide excision repair pathway gene polymorphisms are associated with risk and prognosis of colorectal cancer. World Journal of Gastroenterology. 26(3). 307–323. 18 indexed citations
10.
Liu, Jingwei, Hao Li, Bowen Zheng, et al.. (2019). Competitive Endogenous RNA (ceRNA) Regulation Network of lncRNA–miRNA–mRNA in Colorectal Carcinogenesis. Digestive Diseases and Sciences. 64(7). 1868–1877. 46 indexed citations
11.
Lv, Zhi, Qian Xu, Liping Sun, et al.. (2019). Four novel polymorphisms in long non-coding RNA HOTTIP are associated with the risk and prognosis of colorectal cancer. Bioscience Reports. 39(5). 18 indexed citations
12.
Liu, Jingwei, Hao Li, Liping Sun, et al.. (2019). Epigenetic Alternations of MicroRNAs and DNA Methylation Contribute to Liver Metastasis of Colorectal Cancer. Digestive Diseases and Sciences. 64(6). 1523–1534. 34 indexed citations
13.
Sun, Guangwei, Yilong Yang, Xuebin Yang, et al.. (2019). Preoperative insomnia and its association with psychological factors, pain and anxiety in Chinese colorectal cancer patients. Supportive Care in Cancer. 28(6). 2911–2919. 33 indexed citations
14.
15.
Xue, Feng, et al.. (2018). DNA repair protein XPA is differentially expressed in colorectal cancer and predicts better prognosis. Cancer Medicine. 7(6). 2339–2349. 12 indexed citations
16.
Liu, Jingwei, Jingjing Jing, Zeyang Wang, et al.. (2018). Expression of DDB2 Protein in the Initiation, Progression, and Prognosis of Colorectal Cancer. Digestive Diseases and Sciences. 63(11). 2959–2968. 9 indexed citations
17.
Liu, Jingwei, Hao Li, Liping Sun, et al.. (2018). The Differential Expression of Core Genes in Nucleotide Excision Repair Pathway Indicates Colorectal Carcinogenesis and Prognosis. BioMed Research International. 2018. 1–10. 13 indexed citations
18.
Liu, Jingwei, et al.. (2014). Associations of ERCC4 rs1800067 Polymorphism with Cancer Risk: an Updated Meta-analysis. Asian Pacific Journal of Cancer Prevention. 15(18). 7639–7644. 5 indexed citations
19.
He, Caiyun, Zhipeng Duan, Liping Sun, et al.. (2013). Association of two ERCC4 tagSNPs with susceptibility to atrophic gastritis and gastric cancer in Chinese. Gene. 519(2). 335–342. 11 indexed citations
20.
Song, Yongxi, Zhenning Wang, Huimian Xu, Zhenyu Yue, & Chengzhong Xing. (2009). Paget’s disease is associated with eleven cancerous regions: a case report and therapeutic strategy. Journal of Huazhong University of Science and Technology [Medical Sciences]. 29(5). 677–678. 1 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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