Zhenqiang Sun

6.3k total citations · 7 hit papers
59 papers, 4.3k citations indexed

About

Zhenqiang Sun is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Zhenqiang Sun has authored 59 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 29 papers in Oncology and 23 papers in Cancer Research. Recurrent topics in Zhenqiang Sun's work include Cancer-related molecular mechanisms research (15 papers), Cancer Immunotherapy and Biomarkers (15 papers) and MicroRNA in disease regulation (12 papers). Zhenqiang Sun is often cited by papers focused on Cancer-related molecular mechanisms research (15 papers), Cancer Immunotherapy and Biomarkers (15 papers) and MicroRNA in disease regulation (12 papers). Zhenqiang Sun collaborates with scholars based in China and Saudi Arabia. Zhenqiang Sun's co-authors include Weitang Yuan, Quanbo Zhou, Guixian Wang, Jinbo Liu, Chen Chen, Shengyun Hu, Junmin Song, Yaxin Guo, Chengzeng Wang and Xiang Ji and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

Zhenqiang Sun

58 papers receiving 4.3k citations

Hit Papers

Effect of exosomal miRNA on cancer biology and clinical a... 2018 2026 2020 2023 2018 2019 2023 2023 2023 200 400 600

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 32 3.1k 2.2k 937 762 444 59 4.3k
Nehad M. Alajez Qatar 37 3.0k 1.0× 2.2k 1.0× 922 1.0× 575 0.8× 336 0.8× 120 4.4k
Weitang Yuan China 31 3.8k 1.2× 2.9k 1.4× 946 1.0× 631 0.8× 410 0.9× 84 5.1k
Xuan Zhou China 36 3.1k 1.0× 2.4k 1.1× 1.2k 1.3× 504 0.7× 289 0.7× 160 4.7k
Minghui Wang China 32 2.2k 0.7× 1.4k 0.7× 1.0k 1.1× 521 0.7× 599 1.3× 137 3.9k
Renbing Jia China 35 2.5k 0.8× 1.4k 0.7× 950 1.0× 558 0.7× 284 0.6× 174 4.4k
Aija Linē Latvia 26 1.9k 0.6× 1.0k 0.5× 768 0.8× 635 0.8× 321 0.7× 63 2.9k
Quanbo Zhou China 36 4.3k 1.4× 3.6k 1.6× 1.2k 1.3× 610 0.8× 416 0.9× 93 5.7k
Mariam Grigorian Denmark 37 3.3k 1.1× 1.4k 0.7× 612 0.7× 1.2k 1.6× 451 1.0× 68 4.6k
Chao Ge China 35 2.4k 0.8× 1.7k 0.8× 1.2k 1.3× 337 0.4× 373 0.8× 87 3.9k

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.
Pan, Yan, et al.. (2025). Regulatory T cells in solid tumor immunotherapy: effect, mechanism and clinical application. Cell Death and Disease. 16(1). 277–277. 10 indexed citations
2.
Yang, Yuanyuan, et al.. (2025). Spatial omics technology potentially promotes the progress of tumor immunotherapy. British Journal of Cancer. 133(4). 421–434. 2 indexed citations
3.
Sun, Haifeng, et al.. (2024). Roles of exosomes in immunotherapy for solid cancers. Cell Death and Disease. 15(2). 106–106. 69 indexed citations breakdown →
4.
Han, Mingyu, Haifeng Sun, Quanbo Zhou, et al.. (2023). Effects of RNA methylation on Tumor angiogenesis and cancer progression. Molecular Cancer. 22(1). 25 indexed citations
5.
Ming, Yue, Shengyun Hu, Haifeng Sun, et al.. (2023). Extracellular vesicles remodel tumor environment for cancer immunotherapy. Molecular Cancer. 22(1). 203–203. 65 indexed citations
6.
Liu, Zaoqu, Siyuan Weng, Qin Dang, et al.. (2022). Gene interaction perturbation network deciphers a high-resolution taxonomy in colorectal cancer. eLife. 11. 13 indexed citations
7.
Liu, Yang, Wenkang Wang, Weitang Yuan, et al.. (2022). Ultrasound-targeted microbubble destruction remodels tumour microenvironment to improve immunotherapeutic effect. British Journal of Cancer. 128(5). 715–725. 52 indexed citations
8.
Liu, Zaoqu, Yaxin Guo, Xiuxiu Yang, et al.. (2022). Immune Landscape Refines the Classification of Colorectal Cancer With Heterogeneous Prognosis, Tumor Microenvironment and Distinct Sensitivity to Frontline Therapies. Frontiers in Cell and Developmental Biology. 9. 784199–784199. 17 indexed citations
9.
Chen, Zhuang, Qin Dang, Chen Chen, et al.. (2022). Roles of exosomal circRNAs in tumour immunity and cancer progression. Cell Death and Disease. 13(6). 539–539. 30 indexed citations
10.
Shi, Ke, Shuaixi Yang, Chen Chen, et al.. (2022). RNA methylation-mediated LINC01559 suppresses colorectal cancer progression by regulating the miR-106b-5p/PTEN axis. International Journal of Biological Sciences. 18(7). 3048–3065. 19 indexed citations
11.
Liu, Zaoqu, Long Liu, Dechao Jiao, et al.. (2021). Association of RYR2 Mutation With Tumor Mutation Burden, Prognosis, and Antitumor Immunity in Patients With Esophageal Adenocarcinoma. Frontiers in Genetics. 12. 669694–669694. 38 indexed citations
12.
Cui, Wenming, Qin Dang, Chen Chen, Weitang Yuan, & Zhenqiang Sun. (2021). Roles of circRNAs on tumor autophagy. Molecular Therapy — Nucleic Acids. 23. 918–929. 17 indexed citations
13.
Liu, Zaoqu, Yuyuan Zhang, Qin Dang, et al.. (2021). Genomic Alteration Characterization in Colorectal Cancer Identifies a Prognostic and Metastasis Biomarker: FAM83A|IDO1. Frontiers in Oncology. 11. 632430–632430. 36 indexed citations
14.
Dang, Qin, Bo Shao, Quanbo Zhou, et al.. (2021). RNA N6-Methyladenosine in Cancer Metastasis: Roles, Mechanisms, and Applications. Frontiers in Oncology. 11. 681781–681781. 13 indexed citations
15.
Liu, Zaoqu, Yuyuan Zhang, Chengcheng Shi, et al.. (2021). A novel immune classification reveals distinct immune escape mechanism and genomic alterations: implications for immunotherapy in hepatocellular carcinoma. Journal of Translational Medicine. 19(1). 5–5. 76 indexed citations
16.
Liu, Jinbo, Quanbo Zhou, Junmin Song, et al.. (2020). Exosomal Noncoding RNAs and Tumor Drug Resistance. Cancer Research. 80(20). 4307–4313. 33 indexed citations
17.
Ma, Shuai, Chen Chen, Xiang Ji, et al.. (2019). The interplay between m6A RNA methylation and noncoding RNA in cancer. Journal of Hematology & Oncology. 12(1). 121–121. 469 indexed citations breakdown →
18.
Ren, Weiguo, Shourong Shen, Zhenqiang Sun, et al.. (2016). Jak-STAT3 pathway triggers DICER1 for proteasomal degradation by ubiquitin ligase complex of CUL4A DCAF1 to promote colon cancer development. Cancer Letters. 375(2). 209–220. 36 indexed citations
19.
Sun, Zhenqiang, Weiguo Ren, Chunlin Ou, et al.. (2015). Prognostic Value of Yes-Associated Protein 1 (YAP1) in Various Cancers: A Meta-Analysis. PLoS ONE. 10(8). e0135119–e0135119. 37 indexed citations
20.
Ou, Chunlin, Zhenqiang Sun, Han Zhang, et al.. (2015). SPLUNC1 reduces the inflammatory response of nasopharyngeal carcinoma cells infected with the EB virus by inhibiting the TLR9/NF-κB pathway. Oncology Reports. 33(6). 2779–2788. 25 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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