Cunyi Zou

658 total citations · 1 hit paper
20 papers, 435 citations indexed

About

Cunyi Zou is a scholar working on Immunology, Oncology and Genetics. According to data from OpenAlex, Cunyi Zou has authored 20 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Oncology and 7 papers in Genetics. Recurrent topics in Cunyi Zou's work include Glioma Diagnosis and Treatment (7 papers), Immune cells in cancer (6 papers) and Ferroptosis and cancer prognosis (5 papers). Cunyi Zou is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Immune cells in cancer (6 papers) and Ferroptosis and cancer prognosis (5 papers). Cunyi Zou collaborates with scholars based in China. Cunyi Zou's co-authors include Anhua Wu, Gefei Guan, Chen Zhu, Wen Cheng, Peng Cheng, Qing Guo, Zhiguo Lin, Shuai Shen, Tianqi Liu and Ling Chen and has published in prestigious journals such as Journal of Cellular Physiology, Medicine and Cell Cycle.

In The Last Decade

Cunyi Zou

18 papers receiving 435 citations

Hit Papers

Ferroptosis, as the most ... 2022 2026 2023 2024 2022 50 100 150
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. Ferroptosis, as the most enriched programmed cell death process in glioma, induces immunosuppression and immunotherapy resistance
    2022 153 citations Tianqi Liu, Chen Zhu et al. Neuro-Oncology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cunyi Zou China 11 195 187 156 142 129 20 435
Stephen Y. Chih United States 5 178 0.9× 176 0.9× 108 0.7× 129 0.9× 80 0.6× 6 399
Yuanhao Chang China 11 250 1.3× 102 0.5× 115 0.7× 198 1.4× 83 0.6× 20 455
Patrícia Domingues Portugal 3 165 0.8× 104 0.6× 98 0.6× 107 0.8× 81 0.6× 10 390
Paula Kroon Netherlands 6 271 1.4× 98 0.5× 135 0.9× 125 0.9× 283 2.2× 10 539
Jianxiong Ji China 13 379 1.9× 108 0.6× 124 0.8× 208 1.5× 137 1.1× 23 595
Preston D. Moore United States 5 121 0.6× 144 0.8× 87 0.6× 67 0.5× 193 1.5× 9 381
Fabio Scirocchi Italy 10 130 0.7× 83 0.4× 155 1.0× 87 0.6× 193 1.5× 15 395
Shuo Xu China 11 268 1.4× 75 0.4× 184 1.2× 232 1.6× 167 1.3× 21 575
Amy Saur Conway United States 6 252 1.3× 116 0.6× 173 1.1× 51 0.4× 267 2.1× 8 584
Yvonne E. Smith Ireland 9 228 1.2× 140 0.7× 72 0.5× 130 0.9× 185 1.4× 10 430

Countries citing papers authored by Cunyi Zou

Since Specialization
Citations

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

Fields of papers citing papers by Cunyi Zou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cunyi Zou

This figure shows the co-authorship network connecting the top 25 collaborators of Cunyi Zou. A scholar is included among the top collaborators of Cunyi Zou 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 Cunyi Zou. Cunyi Zou 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.
2.
Zou, Cunyi, et al.. (2024). Inhibiting interferon-γ induced cancer intrinsic TNFRSF14 elevation restrains the malignant progression of glioblastoma. Journal of Experimental & Clinical Cancer Research. 43(1). 212–212. 4 indexed citations
3.
Wang, Shisong, et al.. (2024). Risk factors of cerebrospinal fluid leakage after neuroendoscopic transsphenoidal pituitary adenoma resection: a systematic review and meta-analysis. Frontiers in Endocrinology. 14. 1263308–1263308. 6 indexed citations
4.
Liu, Xing, Qing Guo, Jianqi Wu, et al.. (2023). Tumor microenvironment remodeling plus immunotherapy could be used in mesenchymal-like tumor with high tumor residual and drug resistant rate. Communications Biology. 6(1). 1281–1281. 2 indexed citations
5.
6.
Liu, Tianqi, Chen Zhu, Xin Chen, et al.. (2022). Ferroptosis, as the most enriched programmed cell death process in glioma, induces immunosuppression and immunotherapy resistance. Neuro-Oncology. 24(7). 1113–1125. 153 indexed citations breakdown →
7.
Guo, Qing, Shuai Shen, Gefei Guan, et al.. (2022). Cancer cell intrinsic TIM-3 induces glioblastoma progression. iScience. 25(11). 105329–105329. 33 indexed citations
8.
Chen, Xin, Tianqi Liu, Jianqi Wu, et al.. (2022). Molecular profiling identifies distinct subtypes across TP53 mutant tumors. JCI Insight. 7(23). 8 indexed citations
9.
Zou, Cunyi, Chen Zhu, Tianqi Liu, et al.. (2021). The Systematic Landscape of Nectin Family and Nectin-Like Molecules: Functions and Prognostic Value in Low Grade Glioma. Frontiers in Genetics. 12. 718717–718717. 4 indexed citations
10.
Guan, Gefei, Cunyi Zou, Qing Guo, et al.. (2021). Genome profiling of mismatch repair genes in eight types of tumors. Cell Cycle. 20(11). 1091–1106. 1 indexed citations
11.
Zhu, Chen, Gefei Guan, Cunyi Zou, et al.. (2020). <p>IFI30 Is a Novel Immune-Related Target with Predicting Value of Prognosis and Treatment Response in Glioblastoma</p>. OncoTargets and Therapy. Volume 13. 1129–1143. 29 indexed citations
12.
Shen, Shuai, Zihao Yan, Jianqi Wu, et al.. (2020). Characterization of ROS Metabolic Equilibrium Reclassifies Pan-Cancer Samples and Guides Pathway Targeting Therapy. Frontiers in Oncology. 10. 581197–581197. 12 indexed citations
13.
14.
Zou, Cunyi, Chen Zhu, Gefei Guan, et al.. (2019). <p>CD48 is a key molecule of immunomodulation affecting prognosis in glioma</p>. OncoTargets and Therapy. Volume 12. 4181–4193. 26 indexed citations
15.
Guo, Qing, Gefei Guan, Cunyi Zou, et al.. (2019). Overexpression of oncostatin M receptor regulates local immune response in glioblastoma. Journal of Cellular Physiology. 234(9). 15496–15509. 20 indexed citations
16.
Zhu, Chen, Cunyi Zou, Gefei Guan, et al.. (2019). Development and validation of an interferon signature predicting prognosis and treatment response for glioblastoma. OncoImmunology. 8(9). e1621677–e1621677. 31 indexed citations
17.
Zou, Cunyi, Gefei Guan, Chen Zhu, et al.. (2018). Costimulatory checkpoint SLAMF8 is an independent prognosis factor in glioma. CNS Neuroscience & Therapeutics. 25(3). 333–342. 29 indexed citations
18.
Guo, Qing, Gefei Guan, Wen Cheng, et al.. (2018). Integrated profiling identifies caveolae‐associated protein 1 as a prognostic biomarker of malignancy in glioblastoma patients. CNS Neuroscience & Therapeutics. 25(3). 343–354. 21 indexed citations
19.
Zou, Cunyi, et al.. (2017). Primary Extradural Melanoma Arising in Cervical Spinal Nerve Root. World Neurosurgery. 111. 211–215. 5 indexed citations
20.
Cheng, Wen, et al.. (2016). Gremlin1 promotes carcinogenesis of glioma in vitro. Clinical and Experimental Pharmacology and Physiology. 44(2). 244–256. 24 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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