Zhenqiang Sun

3.7k total citations · 2 hit papers
42 papers, 2.3k citations indexed

About

Zhenqiang Sun is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Zhenqiang Sun has authored 42 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 18 papers in Cancer Research and 13 papers in Oncology. Recurrent topics in Zhenqiang Sun's work include Cancer-related molecular mechanisms research (11 papers), Circular RNAs in diseases (10 papers) and MicroRNA in disease regulation (9 papers). Zhenqiang Sun is often cited by papers focused on Cancer-related molecular mechanisms research (11 papers), Circular RNAs in diseases (10 papers) and MicroRNA in disease regulation (9 papers). Zhenqiang Sun collaborates with scholars based in China, United States and Saudi Arabia. Zhenqiang Sun's co-authors include Weitang Yuan, Quanbo Zhou, Jinbo Liu, Guixian Wang, Qin Dang, Zaoqu Liu, Xinwei Han, Haijiang Wang, Long Liu and Chunguang Guo and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Frontiers in Immunology.

In The Last Decade

Zhenqiang Sun

39 papers receiving 2.3k citations

Hit Papers

Exosomal circRNAs: biogen... 2019 2026 2021 2023 2019 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenqiang Sun China 19 1.7k 1.5k 390 354 212 42 2.3k
Longhua Chen China 27 1.5k 0.9× 1.0k 0.7× 451 1.2× 516 1.5× 130 0.6× 120 2.5k
Jianfei Huang China 31 1.6k 0.9× 866 0.6× 313 0.8× 761 2.1× 324 1.5× 96 2.5k
Qiong Shao China 17 1.3k 0.7× 1.1k 0.7× 219 0.6× 446 1.3× 125 0.6× 41 1.8k
Marc D. Bullock United Kingdom 21 1.2k 0.7× 934 0.6× 185 0.5× 475 1.3× 195 0.9× 30 1.8k
Noritoshi Kato Japan 16 1.7k 1.0× 1.1k 0.7× 205 0.5× 135 0.4× 327 1.5× 50 2.3k
Shujuan Ni China 24 2.2k 1.3× 2.1k 1.4× 309 0.8× 550 1.6× 155 0.7× 61 2.9k
Pierluigi Gasparini United States 26 2.0k 1.2× 1.8k 1.2× 216 0.6× 344 1.0× 209 1.0× 46 2.6k
Chuanyuan Wei China 19 1.1k 0.7× 729 0.5× 241 0.6× 343 1.0× 261 1.2× 52 1.6k
Simone Anfossi United States 20 854 0.5× 845 0.6× 229 0.6× 648 1.8× 316 1.5× 34 1.8k
Kae Hashimoto Japan 27 1.2k 0.7× 781 0.5× 183 0.5× 632 1.8× 518 2.4× 73 2.1k

Countries citing papers authored by Zhenqiang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Zhenqiang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenqiang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenqiang Sun. A scholar is included among the top collaborators of Zhenqiang Sun 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 Zhenqiang Sun. Zhenqiang Sun 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.
Lei, Qingyang, Yang Li, Weina Yu, et al.. (2025). Tumor Exosomal HIF2A Induce Peritumoral M2 Macrophages Accumulation to Facilitate Intestinal Invasion in Colorectal Cancer. Theranostics. 15(15). 7709–7725.
2.
Li, Jiehan, Ge Zhang, Yizheng Zhang, et al.. (2025). Decreased M6A Modification Promotes Progression of Gastrointestinal Stromal Tumor and KIT‐Derived Imatinib Resistance Through FTO‐Regulated Axis. EUR Research Repository (Erasmus University Rotterdam). 4(4).
4.
Li, Jing, Xueliang Zhou, Kunpeng Wu, et al.. (2024). N6-methyladenosine-modified circSLCO1B3 promotes intrahepatic cholangiocarcinoma progression via regulating HOXC8 and PD-L1. Journal of Experimental & Clinical Cancer Research. 43(1). 119–119. 13 indexed citations
5.
Sun, Zhenqiang, et al.. (2024). Targeting m7G-enriched circKDM1A prevents colorectal cancer progression. Molecular Cancer. 23(1). 179–179. 11 indexed citations
6.
Liu, Yang, et al.. (2023). Effect of gut flora mediated‐bile acid metabolism on intestinal immune microenvironment. Immunology. 170(3). 301–318. 23 indexed citations
7.
Chen, Zhuang, Qiming Wang, Jinbo Liu, et al.. (2023). Effects of extracellular vesicle-derived noncoding RNAs on pre-metastatic niche and tumor progression. Genes & Diseases. 11(1). 176–188. 4 indexed citations
8.
Chen, Chen, Yang Liu, Lin Liu, et al.. (2023). Exosomal circTUBGCP4 promotes vascular endothelial cell tipping and colorectal cancer metastasis by activating Akt signaling pathway. Journal of Experimental & Clinical Cancer Research. 42(1). 46–46. 53 indexed citations
9.
Chen, Zhuang, Wenkang Wang, Shengyun Hu, et al.. (2023). YTHDF2-mediated circYAP1 drives immune escape and cancer progression through activating YAP1/TCF4-PD-L1 axis. iScience. 27(2). 108779–108779. 7 indexed citations
10.
Liu, Zaoqu, Long Liu, Siyuan Weng, et al.. (2022). Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer. Nature Communications. 13(1). 816–816. 455 indexed citations breakdown →
11.
Dang, Qin, Zaoqu Liu, Yang Liu, et al.. (2022). LncRNA profiles from Notch signaling: Implications for clinical management and tumor microenvironment of colorectal cancer. Frontiers in Immunology. 13. 953405–953405. 9 indexed citations
13.
Liu, Zaoqu, Libo Wang, Chunguang Guo, et al.. (2021). TTN/OBSCN ‘Double‐Hit’ predicts favourable prognosis, ‘immune‐hot’ subtype and potentially better immunotherapeutic efficacy in colorectal cancer. Journal of Cellular and Molecular Medicine. 25(7). 3239–3251. 45 indexed citations
14.
Sun, Zhenqiang, Bo Shao, Zaoqu Liu, et al.. (2021). LINC01296/miR-141-3p/ZEB1-ZEB2 axis promotes tumor metastasis via enhancing epithelial-mesenchymal transition process. Journal of Cancer. 12(9). 2723–2734. 20 indexed citations
15.
Sun, Zhenqiang, Qin Dang, Zaoqu Liu, et al.. (2021). LINC01272/miR-876/ITGB2 axis facilitates the metastasis of colorectal cancer via epithelial-mesenchymal transition. Journal of Cancer. 12(13). 3909–3919. 18 indexed citations
16.
Ou, Chunlin, Zhenqiang Sun, Xiaoyun He, et al.. (2019). Targeting YAP1/LINC00152/FSCN1 Signaling Axis Prevents the Progression of Colorectal Cancer. Advanced Science. 7(3). 1901380–1901380. 123 indexed citations
17.
Wang, Yangxia, Jinbo Liu, Junfen Ma, et al.. (2019). Exosomal circRNAs: biogenesis, effect and application in human diseases. Molecular Cancer. 18(1). 116–116. 504 indexed citations breakdown →
18.
Ou, Chunlin, Zhenqiang Sun, Xiayu Li, et al.. (2017). MiR-590-5p, a density-sensitive microRNA, inhibits tumorigenesis by targeting YAP1 in colorectal cancer. Cancer Letters. 399. 53–63. 97 indexed citations
19.
Sun, Zhenqiang, Shuai Ma, Quanbo Zhou, et al.. (2017). Prognostic value of lymph node metastasis in patients with T1-stage colorectal cancer from multiple centers in China. World Journal of Gastroenterology. 23(48). 8582–8590. 30 indexed citations
20.
Sun, Zhenqiang, Haijiang Wang, Xianbo Yu, Zeliang Zhao, & Qisan Wang. (2014). Appendiceal Mucinous Cystadenoma Intussuscepted into the Cecum on a Patient with Rectal Carcinoma: A Case Report. Journal of Gastrointestinal Cancer. 45(S1). 112–114. 4 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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