Yangzhi Qi

640 total citations
26 papers, 408 citations indexed

About

Yangzhi Qi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Yangzhi Qi has authored 26 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Genetics. Recurrent topics in Yangzhi Qi's work include Glioma Diagnosis and Treatment (8 papers), Ferroptosis and cancer prognosis (7 papers) and RNA modifications and cancer (5 papers). Yangzhi Qi is often cited by papers focused on Glioma Diagnosis and Treatment (8 papers), Ferroptosis and cancer prognosis (7 papers) and RNA modifications and cancer (5 papers). Yangzhi Qi collaborates with scholars based in China, Australia and United States. Yangzhi Qi's co-authors include Qianxue Chen, Baohui Liu, Qian Sun, Xiaoxing Xiong, Fanen Yuan, Huikai Zhang, Yang Xu, Rongxin Geng, Huimin Dong and Liguo Ye and has published in prestigious journals such as Journal of neurosurgery, Frontiers in Immunology and International Journal of Biological Macromolecules.

In The Last Decade

Yangzhi Qi

26 papers receiving 407 citations

Peers

Yangzhi Qi

PRM

GENET

ONCOL

Patrícia Domingues Portugal

Fangling Cheng China

Henning Leske Switzerland

Luyan Mu China

Joseph D. DiDomenico United States

Giulia Cerretti Italy

Romain Guiho France

Jethro Hu United States

Zhitao Zong China

Haitao Ge China

Patrícia Domingues Portugal

Yangzhi Qi

165 ×1.0

104 ×0.8

PRM

107 ×1.0

172 ×1.7

GENET

81 ×1.0

ONCOL

Citations per year, relative to Yangzhi Qi Yangzhi Qi (= 1×) peers Patrícia Domingues

Countries citing papers authored by Yangzhi Qi

Since Specialization

Citations

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

Fields of papers citing papers by Yangzhi Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangzhi Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Yangzhi Qi. A scholar is included among the top collaborators of Yangzhi Qi 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 Yangzhi Qi. Yangzhi Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shen, Wen, Shuang Yang, Ling Xu, et al.. (2025). A one-stage multi-task network for molecular subtyping, grading, and segmentation of glioma. Biomedical Signal Processing and Control. 108. 107923–107923. 1 indexed citations

Xu, Yang, Tengfeng Yan, Fanen Yuan, et al.. (2025). Tryptophan Metabolic Enzyme IL4I1 Inhibits Ferroptosis by Decreasing Ubiquitination of Nrf2 via I3P in Glioblastoma. Cell Proliferation. 58(6). e13816–e13816. 2 indexed citations

Li, Yong, Xinyi Zhu, Baohui Liu, et al.. (2024). Brain-targeted ursolic acid nanoparticles for anti-ferroptosis therapy in subarachnoid hemorrhage. Journal of Nanobiotechnology. 22(1). 641–641. 7 indexed citations

Wang, Dongfang, et al.. (2024). A novel deep-learning based weighted feature fusion architecture for precise classification of pressure injury. Frontiers in Physiology. 15. 1304829–1304829. 4 indexed citations

Qi, Yangzhi, et al.. (2023). New trends in brain tumor immunity with the opportunities of lymph nodes targeted drug delivery. Journal of Nanobiotechnology. 21(1). 254–254. 8 indexed citations

Hu, Ping, Yangfan Liu, Yuntao Li, et al.. (2022). A Comparison of LASSO Regression and Tree-Based Models for Delayed Cerebral Ischemia in Elderly Patients With Subarachnoid Hemorrhage. Frontiers in Neurology. 13. 791547–791547. 11 indexed citations

Ye, Zhang, Lun Gao, Jiayang Cai, et al.. (2022). Esterase-responsive and size-optimized prodrug nanoparticles for effective intracranial drug delivery and glioblastoma treatment. Nanomedicine Nanotechnology Biology and Medicine. 44. 102581–102581. 9 indexed citations

Sun, Qian, Yang Xu, Fanen Yuan, et al.. (2022). Rho family GTPase 1 (RND1), a novel regulator of p53, enhances ferroptosis in glioblastoma. Cell & Bioscience. 12(1). 53–53. 25 indexed citations

Hu, Ping, Yuntao Li, Yangfan Liu, et al.. (2022). Comparison of Conventional Logistic Regression and Machine Learning Methods for Predicting Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage: A Multicentric Observational Cohort Study. Frontiers in Aging Neuroscience. 14. 857521–857521. 28 indexed citations

10.

Hu, Ping, Qian Sun, Yang Xu, et al.. (2022). A Novel Karyoplasmic Ratio-Based Automatic Recognition Method for Identifying Glioma Circulating Tumor Cells. Frontiers in Oncology. 12. 893769–893769. 5 indexed citations

11.

Ye, Zhang, Jiayang Cai, Yixuan Wang, et al.. (2022). Esterase-Responsive and Size-Optimized Prodrug Nanoparticles for Effective Intracranial Drug Delivery and Glioblastoma Treatment. SSRN Electronic Journal. 2 indexed citations

12.

Hu, Ping, Yang Xu, Yangfan Liu, et al.. (2021). An Externally Validated Dynamic Nomogram for Predicting Unfavorable Prognosis in Patients With Aneurysmal Subarachnoid Hemorrhage. Frontiers in Neurology. 12. 683051–683051. 12 indexed citations

13.

Zhang, Huikai, Fanen Yuan, Yangzhi Qi, Baohui Liu, & Qianxue Chen. (2021). Circulating Tumor Cells for Glioma. Frontiers in Oncology. 11. 607150–607150. 27 indexed citations

14.

Zhang, Huikai, Yang Xu, Gang Deng, et al.. (2021). SAA1 knockdown promotes the apoptosis of glioblastoma cells via downregulation of AKT signaling. Journal of Cancer. 12(9). 2756–2767. 13 indexed citations

15.

Wang, Yixuan, Qian Sun, Rongxin Geng, et al.. (2021). Notch intracellular domain regulates glioblastoma proliferation through the Notch1 signaling pathway. Oncology Letters. 21(4). 303–303. 12 indexed citations

16.

Xu, Yang, Qian Sun, Fanen Yuan, et al.. (2020). RND2 attenuates apoptosis and autophagy in glioblastoma cells by targeting the p38 MAPK signalling pathway. Journal of Experimental & Clinical Cancer Research. 39(1). 174–174. 63 indexed citations

17.

Li, Yong, Gang Deng, Yangzhi Qi, et al.. (2020). Downregulation of LUZP2 Is Correlated with Poor Prognosis of Low‐Grade Glioma. BioMed Research International. 2020(1). 9716720–9716720. 9 indexed citations

18.

Qi, Yangzhi, Baohui Liu, Qian Sun, Xiaoxing Xiong, & Qianxue Chen. (2020). Immune Checkpoint Targeted Therapy in Glioma: Status and Hopes. Frontiers in Immunology. 11. 578877–578877. 88 indexed citations

19.

Gao, Lun, Junhui Liu, Pengfei Xu, et al.. (2020). AKT Inhibitor SC66 Inhibits Proliferation and Induces Apoptosis in Human Glioblastoma Through Down-Regulating AKT/β-Catenin Pathway. Frontiers in Pharmacology. 11. 1102–1102. 17 indexed citations

20.

Qi, Yangzhi, Gang Deng, Pengfei Xu, et al.. (2019). HHLA2 is a novel prognostic predictor and potential therapeutic target in malignant glioma. Oncology Reports. 42(6). 2309–2322. 22 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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