Ziyu Dai

3.3k total citations · 2 hit papers
84 papers, 2.3k citations indexed

About

Ziyu Dai is a scholar working on Pulmonary and Respiratory Medicine, Immunology and Molecular Biology. According to data from OpenAlex, Ziyu Dai has authored 84 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Pulmonary and Respiratory Medicine, 38 papers in Immunology and 32 papers in Molecular Biology. Recurrent topics in Ziyu Dai's work include Ferroptosis and cancer prognosis (37 papers), Immune cells in cancer (28 papers) and Glioma Diagnosis and Treatment (19 papers). Ziyu Dai is often cited by papers focused on Ferroptosis and cancer prognosis (37 papers), Immune cells in cancer (28 papers) and Glioma Diagnosis and Treatment (19 papers). Ziyu Dai collaborates with scholars based in China, United States and United Kingdom. Ziyu Dai's co-authors include Quan Cheng, Zeyu Wang, Hao Zhang, Zhixiong Liu, Wantao Wu, Nan Zhang, Liyang Zhang, Wenjing Zeng, Xun Zhang and Hui Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of the American Society of Nephrology.

In The Last Decade

Ziyu Dai

81 papers receiving 2.3k citations

Hit Papers

Glioma targeted therapy: insight into future of molecular... 2021 2026 2022 2024 2022 2021 100 200 300 400

Peers

Ziyu Dai
Wantao Wu China
Sheng Han China
Fengju Chen United States
Deric M. Park United States
Yi Fan United States
Erik J. Uhlmann United States
Wantao Wu China
Ziyu Dai
Citations per year, relative to Ziyu Dai Ziyu Dai (= 1×) peers Wantao Wu

Countries citing papers authored by Ziyu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ziyu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziyu Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Ziyu Dai. A scholar is included among the top collaborators of Ziyu Dai 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 Ziyu Dai. Ziyu Dai 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.
Wen, Jie, Yanlin Yang, Hao Zhang, et al.. (2025). PM2.5 increases the risk of early-onset COPD mediated by smoking and shared genes: a large-scale genetic analysis. Clinical and Experimental Medicine. 25(1). 116–116. 1 indexed citations
2.
Xie, Bin, Qiong Chen, Ziyu Dai, et al.. (2024). Prognostic significance of a 3-gene ferroptosis-related signature in lung cancer via LASSO analysis and cellular functions of UBE2Z. Computational Biology and Chemistry. 113. 108192–108192. 1 indexed citations
3.
Li, Zhihao, Jie Wen, Wantao Wu, et al.. (2024). Causal relationship and shared genes between air pollutants and amyotrophic lateral sclerosis: A large‐scale genetic analysis. CNS Neuroscience & Therapeutics. 30(7). e14812–e14812. 4 indexed citations
4.
Dai, Ziyu, et al.. (2024). Factors related to breastfeeding length among Filipino migrant women in South Korea. Proceedings of The Nutrition Society. 83(OCE1). 1 indexed citations
5.
Liang, Xisong, Jie Wen, Chunrun Qu, et al.. (2024). Inhibitory neuron links the causal relationship from air pollution to psychiatric disorders: a large multi-omics analysis. Journal Of Big Data. 11(1). 1 indexed citations
6.
Dai, Ziyu, et al.. (2024). ZC3H13 promotes ITGA6 m6A modification for chronic obstructive pulmonary disease progression. Cellular Signalling. 120. 111190–111190. 12 indexed citations
7.
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
8.
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
9.
Wang, Zeyu, Ziyu Dai, Hao Zhang, et al.. (2023). Tumor-secreted lactate contributes to an immunosuppressive microenvironment and affects CD8 T-cell infiltration in glioblastoma. Frontiers in Immunology. 14. 894853–894853. 23 indexed citations
10.
Qu, Chunrun, Yunhao Wang, Xingyang Wang, et al.. (2023). Global Burden and Its Association with Socioeconomic Development Status of Meningitis Caused by Specific Pathogens over the Past 30 years: A Population-Based Study. Neuroepidemiology. 57(5). 316–335. 5 indexed citations
11.
Wang, Zicheng, Xisong Liang, Hao Zhang, et al.. (2022). Identification of a Hypoxia-Angiogenesis lncRNA Signature Participating in Immunosuppression in Gastric Cancer. Journal of Immunology Research. 2022. 1–24.
12.
Liang, Xisong, Zeyu Wang, Ziyu Dai, et al.. (2022). Glioblastoma glycolytic signature predicts unfavorable prognosis, immunological heterogeneity, and ENO1 promotes microglia M2 polarization and cancer cell malignancy. Cancer Gene Therapy. 30(3). 481–496. 20 indexed citations
13.
Zhang, Hao, Nan Zhang, Ziyu Dai, et al.. (2022). Hyaluronic acids mediate the infiltration, migration, and M2 polarization of macrophages: evaluating metabolic molecular phenotypes in gliomas. Molecular Oncology. 16(22). 3927–3948. 13 indexed citations
14.
Feng, Songshan, Jing Li, Fan Fan, et al.. (2022). Prognostic Factors and Treatment Strategies for Elderly Patients with Malignant Meningioma: A SEER Population-Based Study. Frontiers in Oncology. 12. 913254–913254. 7 indexed citations
15.
Zhang, Jingwei, Zeyu Wang, Xun Zhang, et al.. (2022). Large-Scale Single-Cell and Bulk Sequencing Analyses Reveal the Prognostic Value and Immune Aspects of CD147 in Pan-Cancer. Frontiers in Immunology. 13. 810471–810471. 35 indexed citations
16.
Xiao, Gelei, Zeyu Wang, Ziyu Dai, et al.. (2022). Machine learning-based identification of SOX10 as an immune regulator of macrophage in gliomas. Frontiers in Immunology. 13. 1007461–1007461. 9 indexed citations
17.
Liang, Xisong, Zeyu Wang, Ziyu Dai, et al.. (2021). Promoting Prognostic Model Application: A Review Based on Gliomas. Journal of Oncology. 2021. 1–14. 22 indexed citations
18.
Chen, Rui, Xinxing Wang, Ziyu Dai, et al.. (2021). TNFSF13 Is a Novel Onco-Inflammatory Marker and Correlates With Immune Infiltration in Gliomas. Frontiers in Immunology. 12. 713757–713757. 22 indexed citations
19.
Zhang, Jiän, et al.. (2019). Dosimetric comparison of different algorithms in stereotactic body radiation therapy (SBRT) plan for non-small cell lung cancer (NSCLC). SHILAP Revista de lepidopterología. 1 indexed citations
20.
Dai, Ziyu, Zhou Wang, Jingjin Yu, et al.. (1996). Progress Towards Poliomyelitis Eradication - People’s Republic of China, 1990-1996. MMWR Morbidity and Mortality Weekly Report. 45(49). 1076–1079. 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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