Xingen Zhu

1.9k total citations
70 papers, 1.5k citations indexed

About

Xingen Zhu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xingen Zhu has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 25 papers in Cancer Research and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xingen Zhu's work include Cancer-related molecular mechanisms research (20 papers), Ferroptosis and cancer prognosis (13 papers) and RNA modifications and cancer (13 papers). Xingen Zhu is often cited by papers focused on Cancer-related molecular mechanisms research (20 papers), Ferroptosis and cancer prognosis (13 papers) and RNA modifications and cancer (13 papers). Xingen Zhu collaborates with scholars based in China, United States and Australia. Xingen Zhu's co-authors include Kai Huang, Miaojing Wu, Yanghua Fan, Shigang Lv, Lei Wu, Qing Hu, Minhua Ye, Jianming Zhu, Bing Xiao and Xianliang Lai and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and Journal of neurosurgery.

In The Last Decade

Xingen Zhu

67 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingen Zhu China 23 935 584 282 192 174 70 1.5k
Fan Zeng China 19 759 0.8× 442 0.8× 200 0.7× 131 0.7× 414 2.4× 38 1.4k
Yu Guo China 28 1.1k 1.2× 636 1.1× 169 0.6× 427 2.2× 120 0.7× 91 2.3k
Min Lin China 23 1.1k 1.2× 174 0.3× 131 0.5× 85 0.4× 70 0.4× 48 1.8k
Daofeng Tian China 18 459 0.5× 232 0.4× 105 0.4× 110 0.6× 135 0.8× 47 862
Zeng Fan China 17 609 0.7× 191 0.3× 182 0.6× 136 0.7× 124 0.7× 62 1.2k
Yicheng Mao China 21 828 0.9× 331 0.6× 206 0.7× 164 0.9× 38 0.2× 57 1.3k
Haiyan Yang China 23 604 0.6× 347 0.6× 69 0.2× 182 0.9× 49 0.3× 84 1.6k
Guang‐Yuh Chiou Taiwan 19 1.0k 1.1× 524 0.9× 81 0.3× 97 0.5× 142 0.8× 32 1.5k
Xuefeng Xia China 22 545 0.6× 233 0.4× 72 0.3× 74 0.4× 55 0.3× 71 1.6k
Juan-Carlos Murciano United States 25 517 0.6× 213 0.4× 327 1.2× 190 1.0× 35 0.2× 31 1.7k

Countries citing papers authored by Xingen Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Xingen Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingen Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Xingen Zhu. A scholar is included among the top collaborators of Xingen Zhu 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 Xingen Zhu. Xingen Zhu 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.
Luo, Qinghua, Fang Li, Tengfeng Yan, et al.. (2025). Puerarin mitigates cognitive decline and white matter injury via CD36-Mediated microglial phagocytosis in chronic cerebral hypoperfusion. Phytomedicine. 138. 156396–156396. 1 indexed citations
2.
Shu, Lei, Hua Yan, Tengfeng Yan, et al.. (2024). Explainable machine learning in outcome prediction of high-grade aneurysmal subarachnoid hemorrhage. Aging. 16(5). 4654–4669. 10 indexed citations
3.
Tu, Zewei, et al.. (2024). RUNX1-PDIA5 Axis Promotes Malignant Progression of Glioblastoma by Regulating CCAR1 Protein Expression. International Journal of Biological Sciences. 20(11). 4364–4381. 1 indexed citations
5.
Yan, Tengfeng, Zhihao Chen, Yang Xu, et al.. (2024). β-Ketoenamine covalent organic framework nanoplatform combined with immune checkpoint blockade via photodynamic immunotherapy inhibit glioblastoma progression. Bioactive Materials. 44. 531–543. 5 indexed citations
6.
Luo, Min, Shigang Lv, Wei Tu, et al.. (2024). Comprehensive analyses of m1A regulator-mediated modification patterns determining prognosis in lower-grade glioma (running title: m1A in LGG). Heliyon. 10(6). e27510–e27510. 1 indexed citations
7.
Tu, Zewei, Xiaolin Wang, Huan Cai, et al.. (2023). The cell senescence regulator p16 is a promising cancer prognostic and immune check-point inhibitor (ICI) therapy biomarker. Aging. 15(6). 2136–2157. 5 indexed citations
8.
Huang, Kai, et al.. (2022). Comprehensive analysis of the prognostic and role in immune cell infiltration of MSR1 expression in lower‐grade gliomas. Cancer Medicine. 11(9). 2020–2035. 11 indexed citations
9.
Tu, Zewei, Jingying Li, Xiaoyan Long, et al.. (2022). Transcriptional Patterns of Lower‐Grade Glioma Patients with Distinct Ferroptosis Levels, Immunotherapy Response, and Temozolomide Sensitivity. Oxidative Medicine and Cellular Longevity. 2022(1). 9408886–9408886. 7 indexed citations
10.
Zheng, Hao, Tiande Liu, Hu Xiong, et al.. (2021). Laparoscopic transcystic common bile duct exploration in patients with a nondilated common bile duct. Annals of Palliative Medicine. 10(12). 12845–12856. 5 indexed citations
11.
Jiang, Xue, Yan Hu, Dongwei Xu, et al.. (2021). Prediction of in‑hospital recurrence and false‑negative results in patients with COVID‑19 by red blood cell values on admission. Experimental and Therapeutic Medicine. 22(5). 1250–1250.
13.
Huang, Hui, Suyue Zheng, Min Chen, et al.. (2021). The potential of the P2X7 receptor as a therapeutic target in a sub-chronic PCP-induced rodent model of schizophrenia. Journal of Chemical Neuroanatomy. 116. 101993–101993. 12 indexed citations
14.
Tao, Chuming, et al.. (2020). Genomics and Prognosis Analysis of Epithelial-Mesenchymal Transition in Glioma. Frontiers in Oncology. 10. 183–183. 57 indexed citations
15.
Huang, Kai, et al.. (2019). Non-coding RNAs: Regulators of glioma cell epithelial-mesenchymal transformation. Pathology - Research and Practice. 215(9). 152539–152539. 23 indexed citations
17.
Cheng, Shiqi, Weiwei Gao, Xin Xu, et al.. (2017). Silymarin prevents NLRP3 inflammasome activation and protects against intracerebral hemorrhage. Biomedicine & Pharmacotherapy. 93. 308–315. 46 indexed citations
18.
Cheng, Shiqi, Weiwei Gao, Xin Xu, et al.. (2016). Methylprednisolone sodium succinate reduces BBB disruption and inflammation in a model mouse of intracranial haemorrhage. Brain Research Bulletin. 127. 226–233. 29 indexed citations
19.
Fan, Yanghua, et al.. (2016). BRAF-activated lncRNA predicts gastrointestinal cancer patient prognosis: a meta-analysis. Oncotarget. 8(4). 6295–6303. 21 indexed citations
20.
Cheng, Shiqi, Xin Xu, Weiwei Gao, et al.. (2016). Over-expression of LRIG1 suppresses biological function of pituitary adenoma via attenuation of PI3K/AKT and Ras/Raf/ERK pathways in vivo and in vitro. Journal of Huazhong University of Science and Technology [Medical Sciences]. 36(4). 558–563. 7 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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