Xuejun Yang

3.8k total citations
122 papers, 1.8k citations indexed

About

Xuejun Yang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Xuejun Yang has authored 122 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 44 papers in Genetics and 29 papers in Cancer Research. Recurrent topics in Xuejun Yang's work include Glioma Diagnosis and Treatment (43 papers), MicroRNA in disease regulation (17 papers) and RNA Research and Splicing (12 papers). Xuejun Yang is often cited by papers focused on Glioma Diagnosis and Treatment (43 papers), MicroRNA in disease regulation (17 papers) and RNA Research and Splicing (12 papers). Xuejun Yang collaborates with scholars based in China, United States and Montenegro. Xuejun Yang's co-authors include Shengping Yu, Jiabo Li, Luqing Tong, Yi Li, Peidong Liu, Hai Long, Haiwen Ma, Yu Lin, Yang Xie and Haolang Ming and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Oncogene.

In The Last Decade

Xuejun Yang

114 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuejun Yang China 25 957 551 319 302 260 122 1.8k
Maode Wang China 22 1.2k 1.3× 768 1.4× 479 1.5× 461 1.5× 175 0.7× 71 1.9k
Yanyang Tu China 26 1.2k 1.3× 749 1.4× 288 0.9× 248 0.8× 154 0.6× 71 1.7k
Xingjun Jiang China 23 1.1k 1.1× 493 0.9× 294 0.9× 198 0.7× 298 1.1× 106 2.0k
Chitra Venugopal Canada 21 1.1k 1.1× 483 0.9× 623 2.0× 467 1.5× 152 0.6× 94 2.0k
Chang Hun Rhee South Korea 22 968 1.0× 405 0.7× 287 0.9× 268 0.9× 122 0.5× 34 1.8k
Patrick Y Wen United States 9 827 0.9× 502 0.9× 256 0.8× 712 2.4× 135 0.5× 16 1.6k
Ryan Williams United States 25 2.0k 2.1× 905 1.6× 429 1.3× 168 0.6× 256 1.0× 44 2.9k
Zita A. Sibenaller United States 22 955 1.0× 466 0.8× 247 0.8× 356 1.2× 134 0.5× 37 1.8k
Jeffrey Kiefer United States 24 1.2k 1.2× 513 0.9× 588 1.8× 237 0.8× 180 0.7× 60 2.0k

Countries citing papers authored by Xuejun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xuejun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuejun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xuejun Yang. A scholar is included among the top collaborators of Xuejun Yang 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 Xuejun Yang. Xuejun Yang 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.
Zhang, Zhaoyuan, Rong Jiang, Lianyong Xu, et al.. (2025). MXene-based nanosheet for enhanced glioma therapy via photonic hyperthermia to boost the abscopal effect of radioimmunotherapy. Journal of Nanobiotechnology. 23(1). 203–203. 3 indexed citations
2.
Yang, Xuejun, Zhang De, Yan Li, et al.. (2025). Development and external validation of a machine learning-based predictive model for acute kidney injury in hospitalized children with idiopathic nephrotic syndrome. BMC Medical Informatics and Decision Making. 25(1). 364–364. 1 indexed citations
3.
Zhang, Bin, Xisen Wang, Yiming Li, et al.. (2024). GPR65 contributes to constructing immunosuppressive microenvironment in glioma. Neurosurgical Review. 47(1). 417–417. 4 indexed citations
4.
Zhang, Kai, et al.. (2024). How I do it: preoperative simulation and augmented reality assisted surgical resection of Glioblastoma in Broca’s area. Acta Neurochirurgica. 166(1). 481–481. 1 indexed citations
5.
Yang, Xuejun, et al.. (2023). The Effect of Meteorological Features on Pollution Characteristics of PM2.5 in the South Area of Beijing, China. Atmosphere. 14(12). 1753–1753. 4 indexed citations
6.
Li, Chuzhong, Huifang Zhang, Guoqin Wang, et al.. (2023). Emotional Problems, Quality of Life and Symptom Burden in Patients with Chordoma. Healthcare. 11(8). 1135–1135. 4 indexed citations
7.
Li, Haowei, Guangzhi Wang, Huiting Liu, et al.. (2023). Real-Time Navigation with Guide Template for Pedicle Screw Placement Using an Augmented Reality Head-Mounted Device: A Proof-of-Concept Study. Indian Journal of Orthopaedics. 57(5). 776–781. 2 indexed citations
8.
Li, Yiming, Haolang Ming, Yu Lin, et al.. (2023). Ultra high b-value diffusion weighted imaging enables better molecular grading stratification over histological grading in adult-type diffuse glioma. European Journal of Radiology. 168. 111140–111140. 1 indexed citations
9.
Li, Yiming, et al.. (2023). Diffusion tensor imaging versus intraoperative subcortical mapping for glioma resection: a systematic review and meta-analysis. Neurosurgical Review. 46(1). 154–154. 2 indexed citations
10.
Li, Tao, Farideh Mehraein‐Ghomi, M. Elizabeth Forbes, et al.. (2022). HSP90-CDC37 functions as a chaperone for the oncogenic FGFR3-TACC3 fusion. Molecular Therapy. 30(4). 1610–1627. 11 indexed citations
11.
Zhao, Kai, Boyuan Li, Kai Zhang, et al.. (2022). Automatic 1p/19q co-deletion identification of gliomas by MRI using deep learning U-net network. Computers & Electrical Engineering. 105. 108482–108482. 3 indexed citations
12.
Li, Jiabo, Xuya Wang, Tatiana Carneiro-Lobo, et al.. (2022). TMIC-21. THE ROLE OF CLEC5A ON M2-LIKE TUMOR-ASSOCIATED MACROPHAGES POLARIZATION AND DISEASE PROGRESSION IN GLIOBLASTOMA. Neuro-Oncology. 24(Supplement_7). vii275–vii276. 1 indexed citations
13.
Guo, Gaochao, Yalin Lu, Xun Wen Chen, et al.. (2021). Silencing IKBKE inhibits the migration and invasion of glioblastoma by promoting Snail1 degradation. Clinical & Translational Oncology. 24(5). 816–828. 3 indexed citations
14.
Yang, Xuejun. (2020). Immunotherapy is expected to be the ultimate nemesis of malignant glioma. SHILAP Revista de lepidopterología.
15.
Lin, Yu & Xuejun Yang. (2019). Application of tumor⁃treating fields method in the treatment of glioblastoma: from basic to clinical. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Li, Yi, Xingchen Zhou, Tao Li, et al.. (2019). Notch1 signaling pathway promotes invasion, self-renewal and growth of glioma initiating cells via modulating chemokine system CXCL12/CXCR4. Journal of Experimental & Clinical Cancer Research. 38(1). 339–339. 105 indexed citations
17.
Yang, Xuejun, et al.. (2018). Study on invasion and migration of malignant glioma. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Zhang, Yixiang, et al.. (2018). MicroRNA-1469, a p53-responsive microRNA promotes Genistein induced apoptosis by targeting Mcl1 in human laryngeal cancer cells. Biomedicine & Pharmacotherapy. 106. 665–671. 41 indexed citations
19.
Zhang, Kai, Yu Lin, Shuai Li, et al.. (2017). Location study of hand motor cortex by using navigated transcranial magnetic stimulation. Zhonghua shiyan waike zazhi. 34(8). 1281–1284.
20.
Lin, Yu, Kai Zhang, Shuai Li, et al.. (2016). Mapping language eloquent cortices in Chinese: a navigated transcranial magnetic stimulation study. Chinese Journal of Neuromedicine. 15(4). 366–370.

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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