Shousen Wang

481 total citations
33 papers, 311 citations indexed

About

Shousen Wang is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Shousen Wang has authored 33 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Neurology, 7 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Shousen Wang's work include Traumatic Brain Injury and Neurovascular Disturbances (27 papers), Neurosurgical Procedures and Complications (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Shousen Wang is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (27 papers), Neurosurgical Procedures and Complications (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Shousen Wang collaborates with scholars based in China, United States and Panama. Shousen Wang's co-authors include Weiqiang Chen, Liangfeng Wei, Lianjie Li, Bingbing Li, Jinhua Yang, Tianfei Li, Changhua Li, Jiangtao Sheng, Hongjie Chen and Xiaojun Zhang and has published in prestigious journals such as Scientific Reports, Brain Research and Frontiers in Immunology.

In The Last Decade

Shousen Wang

30 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shousen Wang China 10 193 91 63 60 32 33 311
Liquan Lv China 12 193 1.0× 78 0.9× 79 1.3× 70 1.2× 39 1.2× 18 351
Bartłomiej Kulesza Poland 7 112 0.6× 64 0.7× 65 1.0× 26 0.4× 52 1.6× 25 291
Zhongzhou Su China 9 153 0.8× 38 0.4× 46 0.7× 26 0.4× 20 0.6× 20 261
Sabine Voigt Netherlands 10 200 1.0× 102 1.1× 69 1.1× 51 0.8× 25 0.8× 29 456
Kiril Chtraklin United States 12 163 0.8× 69 0.8× 289 4.6× 141 2.4× 31 1.0× 26 520
Ding-Bo Yang China 12 228 1.2× 115 1.3× 124 2.0× 23 0.4× 34 1.1× 23 350
P. Oppitz Brazil 8 154 0.8× 85 0.9× 80 1.3× 39 0.7× 9 0.3× 16 280
Peter DeRosa United States 7 215 1.1× 52 0.6× 40 0.6× 20 0.3× 56 1.8× 17 365
Florian Schlenk Germany 8 362 1.9× 67 0.7× 50 0.8× 18 0.3× 70 2.2× 8 472
Karl Schaller Switzerland 7 188 1.0× 115 1.3× 67 1.1× 13 0.2× 49 1.5× 12 280

Countries citing papers authored by Shousen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shousen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shousen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shousen Wang. A scholar is included among the top collaborators of Shousen Wang 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 Shousen Wang. Shousen Wang 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.
Chen, Li, Junwei Chen, Ying Tang, et al.. (2025). Intranasal delivery of hypoxia-preconditioned extracellular vesicles derived from BMSCs alleviates neuroinflammation and brain dysfunction in TBI. Stem Cell Research & Therapy. 16(1). 544–544. 1 indexed citations
2.
Li, Tian, Jiangtao Sheng, Xiaoxuan Chen, et al.. (2025). Low serum calcium promotes traumatic intracerebral hematoma expansion by the response of immune cell: A multicenter retrospective cohort study. Scientific Reports. 15(1). 8639–8639. 2 indexed citations
3.
Li, Ziqi, et al.. (2024). TAK-3 Inhibits Lipopolysaccharide-Induced Neuroinflammation in Traumatic Brain Injury Rats Through the TLR-4/NF-κB Pathway. Journal of Inflammation Research. Volume 17. 2147–2158. 4 indexed citations
4.
Fang, Yi, Junjie Chen, Shousen Wang, et al.. (2024). Integrating large-scale single-cell RNA sequencing in central nervous system disease using self-supervised contrastive learning. Communications Biology. 7(1). 1107–1107. 3 indexed citations
5.
6.
Liu, Meiyan, et al.. (2024). Adenomyosis Accompanied by Multiple Hemorrhagic Cerebral Infarction: A Case Report. Cureus. 16(4). e59280–e59280.
7.
Wang, Shousen, et al.. (2023). Risk factors of prognosis in older patients with severe brain injury after surgical intervention. European journal of medical research. 28(1). 479–479. 3 indexed citations
8.
Chen, Li, Yi Zuo, Qianwang Chen, et al.. (2023). Systemic immune inflammation index and peripheral blood carbon dioxide concentration at admission predict poor prognosis in patients with severe traumatic brain injury. Frontiers in Immunology. 13. 1034916–1034916. 20 indexed citations
9.
Tian, Li, Jiangtao Sheng, Xiaoxuan Chen, et al.. (2023). A dynamic nomogram for predicting intraoperative brain bulge during decompressive craniectomy in patients with traumatic brain injury: a retrospective study. International Journal of Surgery. 110(2). 909–920. 5 indexed citations
10.
Ren, Zhihui, Jiangtao Sheng, Yuan Zhong, et al.. (2023). A dynamic nomogram for predicting unfavorable prognosis after aneurysmal subarachnoid hemorrhage. Annals of Clinical and Translational Neurology. 10(7). 1058–1071. 8 indexed citations
11.
Li, Jun, et al.. (2023). Cranial venous-outflow obstruction promotes neuroinflammation via ADAM17/solTNF-α/NF-κB pathway following experimental TBI. Brain Research Bulletin. 204. 110804–110804. 1 indexed citations
12.
Tian, Li, et al.. (2023). A dynamic online nomogram for predicting death in hospital after aneurysmal subarachnoid hemorrhage. European journal of medical research. 28(1). 432–432. 2 indexed citations
13.
Wei, Liangfeng, et al.. (2022). Cerebral Blood Flow Disorder in Acute Subdural Hematoma and Acute Intraoperative Brain Bulge. Frontiers in Neurology. 13. 815226–815226. 7 indexed citations
14.
Chen, Xiangrong, Zuanfang Li, Yi Fang, et al.. (2020). Visualization of cortical cerebral blood flow dynamics during craniotomy in acute subdural hematoma using laser speckle imaging in a rat model. Brain Research. 1742. 146901–146901. 13 indexed citations
15.
Liang, Shengxiang, et al.. (2019). Wide-area measurement-based supervision of the cerebral venous hemodynamic in a novel rat model. Journal of Neuroscience Methods. 328. 108448–108448. 8 indexed citations
16.
Chen, Weiqiang, Jinhua Yang, Bingbing Li, et al.. (2017). Neutrophil to Lymphocyte Ratio as a Novel Predictor of Outcome in Patients With Severe Traumatic Brain Injury. Journal of Head Trauma Rehabilitation. 33(1). E53–E59. 54 indexed citations
17.
Chen, Weiqiang, et al.. (2016). Paradoxical Herniation After Unilateral Decompressive Craniectomy Predicts Better Patient Survival. Medicine. 95(9). e2837–e2837. 3 indexed citations
18.
Gu, Jianjun, et al.. (2016). TPX2 promotes glioma cell proliferation and invasion via activation of the AKT signaling pathway. Oncology Letters. 12(6). 5015–5022. 21 indexed citations
19.
Wang, Shousen, et al.. (2012). Effect of naloxone hydrochloride on c-fos protein expression in brain and plasma beta-endorphin level in rats with diffuse brain injury and secondary brain insult. Jiefangjun yixue zazhi. 37(9). 694–697.
20.
Chen, Hongjie, et al.. (2011). Lewis X oligosaccharides–heparanase complex targeting to DCs enhance antitumor response in mice. Cellular Immunology. 269(2). 144–148. 12 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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