Xiaojiang Sun

3.2k total citations · 1 hit paper
55 papers, 2.0k citations indexed

About

Xiaojiang Sun is a scholar working on Pathology and Forensic Medicine, Surgery and Neurology. According to data from OpenAlex, Xiaojiang Sun has authored 55 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pathology and Forensic Medicine, 12 papers in Surgery and 11 papers in Neurology. Recurrent topics in Xiaojiang Sun's work include Spine and Intervertebral Disc Pathology (12 papers), Neurological Disease Mechanisms and Treatments (7 papers) and Alzheimer's disease research and treatments (7 papers). Xiaojiang Sun is often cited by papers focused on Spine and Intervertebral Disc Pathology (12 papers), Neurological Disease Mechanisms and Treatments (7 papers) and Alzheimer's disease research and treatments (7 papers). Xiaojiang Sun collaborates with scholars based in China, United States and Sweden. Xiaojiang Sun's co-authors include Changqing Zhao, Xiaofei Cheng, Jie Zhao, Ying Hu, Yan Michael Li, Kangyong Liu, Kai Zhang, Ting Zhang, Weiping Jia and Nan Shi and has published in prestigious journals such as Journal of Neuroscience, ACS Nano and PLoS ONE.

In The Last Decade

Xiaojiang Sun

54 papers receiving 2.0k citations

Hit Papers

Mesenchymal stem cells de... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaojiang Sun China 26 762 435 336 334 324 55 2.0k
Juan G. Zarruk Canada 24 461 0.6× 411 0.9× 732 2.2× 187 0.6× 188 0.6× 39 2.0k
William Hill United States 25 764 1.0× 206 0.5× 222 0.7× 303 0.9× 257 0.8× 63 2.1k
Chang­hong Ren China 28 693 0.9× 463 1.1× 578 1.7× 220 0.7× 438 1.4× 125 2.5k
Shigeo Tsukahara Japan 32 981 1.3× 381 0.9× 243 0.7× 251 0.8× 244 0.8× 157 3.9k
Yan Peng China 34 1.1k 1.4× 765 1.8× 119 0.4× 401 1.2× 309 1.0× 133 3.3k
Aviva J. Symes United States 32 1.3k 1.7× 221 0.5× 307 0.9× 237 0.7× 237 0.7× 70 2.7k
Ruxiang Xu China 32 970 1.3× 369 0.8× 353 1.1× 239 0.7× 373 1.2× 125 2.8k
Hyun Ah Kim South Korea 30 866 1.1× 136 0.3× 724 2.2× 217 0.6× 300 0.9× 82 2.5k
Antonietta Gentile Italy 29 683 0.9× 802 1.8× 909 2.7× 291 0.9× 118 0.4× 61 2.4k
Gong Je Seong South Korea 33 643 0.8× 246 0.6× 203 0.6× 133 0.4× 272 0.8× 194 3.9k

Countries citing papers authored by Xiaojiang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojiang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojiang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojiang Sun. A scholar is included among the top collaborators of Xiaojiang Sun 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 Xiaojiang Sun. Xiaojiang Sun 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
3.
Chen, Chen, Tangjun Zhou, Xiaojiang Sun, et al.. (2020). Autologous fibroblasts induce fibrosis of the nucleus pulposus to maintain the stability of degenerative intervertebral discs. Bone Research. 8(1). 7–7. 39 indexed citations
4.
Fu, Lingjie, Wen Wu, Xiaojiang Sun, & Pu Zhang. (2020). Glucocorticoids Enhanced Osteoclast Autophagy Through the PI3K/Akt/mTOR Signaling Pathway. Calcified Tissue International. 107(1). 60–71. 66 indexed citations
5.
Zeng, Junkai, Xiaojiang Sun, Zhenyu Sun, et al.. (2019). Negative Pressure Wound Therapy Versus Closed Suction Irrigation System in the Treatment of Deep Surgical Site Infection After Lumbar Surgery. World Neurosurgery. 127. e389–e395. 26 indexed citations
6.
Cheng, Xiaofei, Liang Zhang, Kai Zhang, et al.. (2018). Circular RNA VMA21 protects against intervertebral disc degeneration through targeting miR-200c and X linked inhibitor-of-apoptosis protein. Annals of the Rheumatic Diseases. 77(5). 770–779. 237 indexed citations
7.
Wu, Aimin, Kai Zhang, Xunlin Li, et al.. (2018). The compression of L5 nerve root, single or double sites?—radiographic graded signs, intra-operative detect technique and clinical outcomes. Quantitative Imaging in Medicine and Surgery. 8(4). 383–390. 4 indexed citations
8.
Sun, Yameng, Ting Zhang, Yan Zhang, et al.. (2018). Ischemic Postconditioning Alleviates Cerebral Ischemia–Reperfusion Injury Through Activating Autophagy During Early Reperfusion in Rats. Neurochemical Research. 43(9). 1826–1840. 40 indexed citations
10.
Liu, Kangyong, Liang Dong, Liwei Shen, et al.. (2014). Clinical profile of Parkinson's disease in the Gumei community of Minhang district, Shanghai. Clinics. 69(7). 457–463. 7 indexed citations
11.
Sun, Wei, Kai Zhang, Changqing Zhao, et al.. (2013). Quantitative T2 mapping to characterize the process of intervertebral disc degeneration in a rabbit model. BMC Musculoskeletal Disorders. 14(1). 357–357. 16 indexed citations
12.
Wang, Hongmei, Ting Zhang, Qiang Li, et al.. (2013). Inhibition of glycogen synthase kinase-3β by lithium chloride suppresses 6-hydroxydopamine-induced inflammatory response in primary cultured astrocytes. Neurochemistry International. 63(5). 345–353. 54 indexed citations
13.
Chen, Ying‐Chun, Shengdi Chen, Zhenguo Liu, et al.. (2012). Serum levels of interleukin (IL)-18, IL-23 and IL-17 in Chinese patients with multiple sclerosis. Journal of Neuroimmunology. 243(1-2). 56–60. 49 indexed citations
14.
Liu, Kangyong, Nan Shi, Yinyi Sun, Ting Zhang, & Xiaojiang Sun. (2012). Therapeutic Effects of Rapamycin on MPTP-Induced Parkinsonism in Mice. Neurochemical Research. 38(1). 201–207. 83 indexed citations
15.
Duan, Hao, Mei Li, & Xiaojiang Sun. (2012). Clinical features of patients with carcinomatous meningitis in the chinese population: report of 4 cases and review of literature. Turkish Neurosurgery. 24(1). 13–8. 6 indexed citations
16.
Fu, Shan, et al.. (2011). Effects of mental workload on long-latency auditory-evoked-potential, salivary cortisol, and immunoglobulin A. Neuroscience Letters. 491(1). 31–34. 11 indexed citations
17.
Zhao, Xiaoliang, Wen-An Wang, Jun Huang, et al.. (2010). Expression of β-Amyloid Induced Age-Dependent Presynaptic and Axonal Changes in Drosophila. Journal of Neuroscience. 30(4). 1512–1522. 108 indexed citations
18.
Wang, Feng, Hong Chen, & Xiaojiang Sun. (2009). Age-related spatial cognitive impairment is correlated with a decrease in ChAT in the cerebral cortex, hippocampus and forebrain of SAMP8 mice. Neuroscience Letters. 454(3). 212–217. 38 indexed citations
19.
Sun, Xiaojiang, Yaokai Gan, Tingting Tang, Xiaoling Zhang, & Kerong Dai. (2008). In Vitro Proliferation and Differentiation of Human Mesenchymal Stem Cells Cultured in Autologous Plasma Derived from Bone Marrow. Tissue Engineering Part A. 14(3). 391–400. 19 indexed citations
20.
Sun, Xiaojiang. (2005). Effect of cholecystokinin on experimental neuronal aging. World Journal of Gastroenterology. 11(4). 551–551. 3 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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