Xiaojun Yu

1.5k total citations
94 papers, 979 citations indexed

About

Xiaojun Yu is a scholar working on Molecular Biology, Electronic, Optical and Magnetic Materials and Mechanical Engineering. According to data from OpenAlex, Xiaojun Yu has authored 94 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 22 papers in Electronic, Optical and Magnetic Materials and 13 papers in Mechanical Engineering. Recurrent topics in Xiaojun Yu's work include Magnetic Properties of Alloys (16 papers), Magnetic Properties and Applications (11 papers) and Cancer-related molecular mechanisms research (9 papers). Xiaojun Yu is often cited by papers focused on Magnetic Properties of Alloys (16 papers), Magnetic Properties and Applications (11 papers) and Cancer-related molecular mechanisms research (9 papers). Xiaojun Yu collaborates with scholars based in China, United States and Canada. Xiaojun Yu's co-authors include Dian Wang, Shanxi Wang, Xiaohu Xu, Jun Luo, Ying-Guang Wang, Jingkui Liang, Yongquan Guo, Lei Zhou, Tao Liu and Bin Bao and has published in prestigious journals such as Physical review. B, Condensed matter, Blood and Applied Physics Letters.

In The Last Decade

Xiaojun Yu

89 papers receiving 948 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaojun Yu China 17 296 199 141 117 107 94 979
Chao‐Hung Wang Taiwan 19 528 1.8× 70 0.4× 139 1.0× 20 0.2× 201 1.9× 37 1.4k
Kazuya Kinoshita Japan 18 247 0.8× 47 0.2× 75 0.5× 38 0.3× 165 1.5× 54 1.0k
Di Shen China 13 245 0.8× 46 0.2× 86 0.6× 62 0.5× 47 0.4× 30 744
Daoyong Li China 17 388 1.3× 84 0.4× 147 1.0× 89 0.8× 39 0.4× 41 1.1k
Qin Jin China 25 569 1.9× 23 0.1× 187 1.3× 84 0.7× 198 1.9× 81 1.5k
Nicolas Guillot France 19 373 1.3× 476 2.4× 38 0.3× 57 0.5× 95 0.9× 40 1.4k
Kuniko Kimura Japan 16 649 2.2× 46 0.2× 491 3.5× 129 1.1× 174 1.6× 28 2.0k
Rolando Campanella Italy 29 602 2.0× 38 0.2× 168 1.2× 18 0.2× 251 2.3× 71 1.9k
G. D. Niehaus United States 16 148 0.5× 167 0.8× 28 0.2× 62 0.5× 73 0.7× 25 785
Xue Cheng China 15 136 0.5× 51 0.3× 85 0.6× 28 0.2× 29 0.3× 58 705

Countries citing papers authored by Xiaojun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Yu. A scholar is included among the top collaborators of Xiaojun Yu 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 Xiaojun Yu. Xiaojun Yu 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.
Yu, Xiaojun, Peng Zou, Shanxi Wang, et al.. (2025). Deciphering SPP1-related macrophage signaling in the pathogenesis of intervertebral disc degeneration. Cell Biology and Toxicology. 41(1). 33–33. 5 indexed citations
2.
Yu, Xiaojun, et al.. (2023). Conventional HE staining combined with two special staining methods to identify antemortem stab wound in case with highly decomposed mutilated corpses. Forensic Science Medicine and Pathology. 20(1). 305–309. 2 indexed citations
3.
Wang, Ying-Guang, Shanxi Wang, Xiaojun Yu, et al.. (2023). A comprehensive analysis of single-cell RNA transcriptome reveals unique SPP1+ chondrocytes in human osteoarthritis. Computers in Biology and Medicine. 160. 106926–106926. 26 indexed citations
4.
Yu, Xiaojun, Shanxi Wang, Ying-Guang Wang, et al.. (2022). IGF2BP2 Induces U251 Glioblastoma Cell Chemoresistance by Inhibiting FOXO1-Mediated PID1 Expression Through Stabilizing lncRNA DANCR. Frontiers in Cell and Developmental Biology. 9. 659228–659228. 24 indexed citations
5.
Gou, Wenfeng, Xiaojun Yu, Shao‐Hua Wu, et al.. (2022). Targeted inhibition of acidic nucleoplasmic DNA-binding protein 1 enhances radiosensitivity of non-small cell lung cancer. Cancer Letters. 530. 100–109. 12 indexed citations
6.
Wang, Xiaosong, et al.. (2022). Serum-derived extracellular vesicles facilitate temozolomide resistance in glioblastoma through a HOTAIR-dependent mechanism. Cell Death and Disease. 13(4). 344–344. 29 indexed citations
7.
Gao, Xiang, Qiwei Huang, Liang Chen, et al.. (2021). TRAM2 promotes the malignant progression of glioma through PI3K/AKT/mTOR pathway. Biochemical and Biophysical Research Communications. 586. 34–41. 13 indexed citations
8.
Li, Guangbin, et al.. (2020). High expression of collagen 1A2 promotes the proliferation and metastasis of esophageal cancer cells. Annals of Translational Medicine. 8(24). 1672–1672. 24 indexed citations
9.
Zhou, Jian-Sheng, Xuebo Li, Guangtao Xu, et al.. (2018). Mir-382 Promotes Differentiation of Rat Liver Progenitor Cell WB-F344 by Targeting Ezh2. Cellular Physiology and Biochemistry. 48(6). 2389–2398. 9 indexed citations
10.
Wu, Jiayan, Qian Wu, Dian Wang, et al.. (2017). Common lipid features of lethal ventricular tarchyarrhythmias (LVTAs) induced by myocardial infarction and myocardial ion channel diseases. Scientific Reports. 7(1). 4220–4220. 11 indexed citations
11.
Wang, Dian, et al.. (2017). Metabolic risk factors associated with sudden cardiac death (SCD) during acute myocardial ischemia. Forensic Sciences Research. 2(3). 126–131. 10 indexed citations
12.
Li, Xianxian, et al.. (2017). Intramedullary schwannoma of the upper cervical spinal cord: a case study of identification in pathologic autopsy. Forensic Sciences Research. 2(1). 46–49. 5 indexed citations
13.
Xu, Guangtao, et al.. (2017). Anterior wrist and medial malleolus as the novel sites of tissue selection: a retrospective study on electric shock death through the hand-to-foot circuit pathway. International Journal of Legal Medicine. 131(3). 677–683. 1 indexed citations
14.
Wang, Xingxing, Dian Wang, Xiaojun Yu, et al.. (2016). Non-targeted metabolomics identified a common metabolic signature of lethal ventricular tachyarrhythmia (LVTA) in two rat models. Molecular BioSystems. 12(7). 2213–2223. 15 indexed citations
15.
16.
Wang, Dian, et al.. (2014). Blood Zinc, Iron, and Copper Levels in Critically Ill Neonates. Biological Trace Element Research. 164(1). 8–11. 5 indexed citations
17.
Lai, Xiao‐Ping, et al.. (2013). Chronic Alcoholism-Mediated Impairment in the Medulla Oblongata: A Mechanism of Alcohol-Related Mortality in Traumatic Brain Injury?. Cell Biochemistry and Biophysics. 67(3). 1049–1057. 8 indexed citations
18.
Wang, Haipeng, et al.. (2010). Alcoholism and Traumatic Subarachnoid Hemorrhage: An Experimental Study on Vascular Morphology and Biomechanics. The Journal of Trauma: Injury, Infection, and Critical Care. 70(1). E6–E12. 8 indexed citations
19.
Bai, Rufeng, et al.. (2009). The Densities of Visceral Organs and the Extent of Pathologic Changes. American Journal of Forensic Medicine & Pathology. 30(2). 148–151. 4 indexed citations
20.
Yu, Xiaojun, et al.. (2007). Alterations of trace elements (Zn, Se, Cu, Fe) and related metalloenzymes in rabbit blood after severe trauma. Journal of Trace Elements in Medicine and Biology. 21(2). 102–107. 18 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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