Zaoqu Liu

2.9k total citations · 6 hit papers
62 papers, 1.7k citations indexed

About

Zaoqu Liu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Zaoqu Liu has authored 62 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 19 papers in Oncology and 18 papers in Cancer Research. Recurrent topics in Zaoqu Liu's work include Cancer Genomics and Diagnostics (9 papers), Ferroptosis and cancer prognosis (8 papers) and Immune Cell Function and Interaction (6 papers). Zaoqu Liu is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Ferroptosis and cancer prognosis (8 papers) and Immune Cell Function and Interaction (6 papers). Zaoqu Liu collaborates with scholars based in China, United Kingdom and Macao. Zaoqu Liu's co-authors include Xinwei Han, Quan Cheng, Peng Luo, Yuqing Ren, Chunguang Guo, Libo Wang, Xiaoyong Ge, Siyuan Weng, Zhaokai Zhou and Yi Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, ACS Nano and Biomaterials.

In The Last Decade

Zaoqu Liu

61 papers receiving 1.7k citations

Hit Papers

Immunosenescence: molecular mechanisms and diseases 2023 2026 2024 2025 2023 2023 2023 2024 2025 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zaoqu Liu China 18 637 499 423 252 219 62 1.7k
Weiqian Chen China 26 743 1.2× 375 0.8× 614 1.5× 356 1.4× 298 1.4× 80 2.0k
Juanjuan Xu China 27 688 1.1× 324 0.6× 305 0.7× 340 1.3× 338 1.5× 80 2.1k
Jackie E. Bader United States 14 588 0.9× 335 0.7× 440 1.0× 218 0.9× 342 1.6× 22 1.4k
Yabo Zhou China 19 793 1.2× 469 0.9× 615 1.5× 142 0.6× 177 0.8× 39 1.7k
Breanna M. Allen United States 8 660 1.0× 702 1.4× 624 1.5× 236 0.9× 237 1.1× 10 1.8k
Wenyan Fu China 23 1.0k 1.6× 502 1.0× 371 0.9× 231 0.9× 372 1.7× 57 2.2k
Atieh Pourbagheri‐Sigaroodi Iran 22 638 1.0× 277 0.6× 285 0.7× 158 0.6× 214 1.0× 59 1.4k
Saeed Kolahian Germany 14 761 1.2× 565 1.1× 499 1.2× 561 2.2× 373 1.7× 38 2.1k

Countries citing papers authored by Zaoqu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zaoqu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaoqu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zaoqu Liu. A scholar is included among the top collaborators of Zaoqu Liu 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 Zaoqu Liu. Zaoqu Liu 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, Zaoqu, Yuhao Ba, Dan Shan, et al.. (2025). THBS2-producing matrix CAFs promote colorectal cancer progression and link to poor prognosis via the CD47-MAPK axis. Cell Reports. 44(4). 115555–115555. 4 indexed citations
2.
Jiang, Tong, Aimin Jiang, Qi Chang, et al.. (2025). Performance analysis of large language models in multi-disease detection from chest computed tomography reports: a comparative study. International Journal of Surgery. 111(8). 5071–5087. 1 indexed citations
3.
Zhang, Pengpeng, Cangang Zhang, Aimin Jiang, et al.. (2025). The metabolic dialogue between intratumoural microbes and cancer: implications for immunotherapy. EBioMedicine. 115. 105708–105708. 14 indexed citations
4.
Dang, Qin, Zhaokai Zhou, Shuang Chen, et al.. (2024). Molecular subtypes of colorectal cancer in the era of precision oncotherapy: Current inspirations and future challenges. Cancer Medicine. 13(14). e70041–e70041. 5 indexed citations
5.
Zhou, Zhaokai, Jiaxin Xu, Shutong Liu, et al.. (2024). Infiltrating treg reprogramming in the tumor immune microenvironment and its optimization for immunotherapy. Biomarker Research. 12(1). 97–97. 15 indexed citations
6.
Shen, Junyi, Rong Hu, Anqi Lin, et al.. (2024). Characterization of second primary malignancies post CAR T-cell therapy: real-world insights from the two global pharmacovigilance databases of FAERS and VigiBase. EClinicalMedicine. 73. 102684–102684. 30 indexed citations
7.
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
8.
Zuo, Anning, Siyuan Weng, Hui Xu, et al.. (2024). Integrated Exploration of Epigenetic Dysregulation Reveals a Stemness/EMT Subtype and MMP12 Linked to the Progression and Prognosis in Hepatocellular Carcinoma. Journal of Proteome Research. 23(5). 1821–1833. 3 indexed citations
10.
Zhang, Nan, Hao Zhang, Zaoqu Liu, et al.. (2023). An artificial intelligence network‐guided signature for predicting outcome and immunotherapy response in lung adenocarcinoma patients based on 26 machine learning algorithms. Cell Proliferation. 56(4). e13409–e13409. 46 indexed citations
11.
Liu, Zaoqu, Yuqing Ren, Chunguang Guo, et al.. (2023). Immunosenescence: molecular mechanisms and diseases. Signal Transduction and Targeted Therapy. 8(1). 200–200. 421 indexed citations breakdown →
12.
Liang, Xisong, Zeyu Wang, Ziyu Dai, et al.. (2023). Oxidative stress is involved in immunosuppression and macrophage regulation in glioblastoma. Clinical Immunology. 258. 109802–109802. 11 indexed citations
13.
Zhou, Zhaokai, Yuyuan Zhang, Jing Li, et al.. (2023). Crosstalk between regulated cell death and immunity in redox dyshomeostasis for pancreatic cancer. Cellular Signalling. 109. 110774–110774. 9 indexed citations
14.
Lu, Taoyuan, Yanyan He, Zaoqu Liu, et al.. (2023). A machine learning-derived gene signature for assessing rupture risk and circulatory immunopathologic landscape in patients with intracranial aneurysms. Frontiers in Cardiovascular Medicine. 10. 1075584–1075584. 2 indexed citations
15.
Zhao, Yanan, Zaoqu Liu, Kewei Ren, et al.. (2023). In Situ Nanofiber Patch Boosts Postoperative Hepatocellular Carcinoma Immune Activation by Trimodal Combination Therapy. ACS Nano. 18(1). 245–263. 7 indexed citations
16.
Weng, Siyuan, Zaoqu Liu, Hui Xu, et al.. (2023). CRISPR-Cas9 identifies growth-related subtypes of glioblastoma with therapeutical significance through cell line knockdown. BMC Cancer. 23(1). 749–749. 5 indexed citations
17.
Wang, Libo, Siyuan Weng, Hui Xu, et al.. (2023). Genome-scale CRISPR-Cas9 screening stratifies pancreatic cancer with distinct outcomes and immunotherapeutic efficacy. Cellular Signalling. 110. 110811–110811. 2 indexed citations
19.
Liu, Zaoqu, Ying Kong, Qin Dang, et al.. (2022). Liquid Biopsy in Pre-Metastatic Niche: From Molecular Mechanism to Clinical Application. Frontiers in Immunology. 13. 958360–958360. 8 indexed citations
20.
Liu, Yiying, Taoyuan Lu, Zaoqu Liu, et al.. (2022). Six macrophage-associated genes in synovium constitute a novel diagnostic signature for osteoarthritis. Frontiers in Immunology. 13. 936606–936606. 32 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026