Chun-xi Wang

1.2k total citations
60 papers, 792 citations indexed

About

Chun-xi Wang is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Surgery. According to data from OpenAlex, Chun-xi Wang has authored 60 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 20 papers in Aerospace Engineering and 15 papers in Surgery. Recurrent topics in Chun-xi Wang's work include Particle Accelerators and Free-Electron Lasers (20 papers), Particle accelerators and beam dynamics (20 papers) and Traumatic Brain Injury and Neurovascular Disturbances (8 papers). Chun-xi Wang is often cited by papers focused on Particle Accelerators and Free-Electron Lasers (20 papers), Particle accelerators and beam dynamics (20 papers) and Traumatic Brain Injury and Neurovascular Disturbances (8 papers). Chun-xi Wang collaborates with scholars based in China, United States and Japan. Chun-xi Wang's co-authors include Meng‐Liang Zhou, Ji‐Xin Shi, Chun‐Hua Hang, Guang-bin Xie, Xiangsheng Zhang, Xiaoming Zhou, Chieki Wada, Τοyoaki Uchida, Shinichi Egawa and Li-tian Huang and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Scientific Reports.

In The Last Decade

Chun-xi Wang

52 papers receiving 779 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun-xi Wang China 15 239 161 156 109 101 60 792
Mia Kero Finland 14 124 0.5× 126 0.8× 133 0.9× 86 0.8× 46 0.5× 27 630
Y Kitazawa Japan 19 422 1.8× 56 0.3× 78 0.5× 98 0.9× 214 2.1× 108 1.9k
Hiromi Suzuki Japan 16 169 0.7× 40 0.2× 79 0.5× 66 0.6× 33 0.3× 57 758
Hauw Jj France 13 165 0.7× 139 0.9× 25 0.2× 63 0.6× 47 0.5× 85 580
R. Zeimer United States 31 509 2.1× 101 0.6× 48 0.3× 128 1.2× 277 2.7× 101 3.4k
V. Sazdovitch France 16 243 1.0× 152 0.9× 12 0.1× 170 1.6× 78 0.8× 28 607
Miguel Valderrábano United States 35 594 2.5× 65 0.4× 293 1.9× 21 0.2× 44 0.4× 155 4.0k
Zhe Xu China 13 403 1.7× 56 0.3× 41 0.3× 19 0.2× 19 0.2× 72 871
Shipeng Li China 18 581 2.4× 20 0.1× 159 1.0× 66 0.6× 55 0.5× 59 1.2k
Chiara Ferrandi Italy 15 1.2k 5.1× 21 0.1× 101 0.6× 54 0.5× 90 0.9× 25 2.3k

Countries citing papers authored by Chun-xi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chun-xi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun-xi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chun-xi Wang. A scholar is included among the top collaborators of Chun-xi 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 Chun-xi Wang. Chun-xi 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.
Huang, Li-tian, Chun-xi Wang, Li Tang, et al.. (2023). Optimal therapeutic strategies for pineal region lesions. Frontiers in Neurology. 14. 1261054–1261054.
2.
Liu, Jiaqiang, et al.. (2021). A20 Establishes Negative Feedback With TRAF6/NF-κB and Attenuates Early Brain Injury After Experimental Subarachnoid Hemorrhage. Frontiers in Immunology. 12. 623256–623256. 29 indexed citations
3.
Zhu, Minghua, et al.. (2020). Impact of Lymph Nodes Examined on Survival in ypN0 Gastric Cancer Patients: a Population-Based Study. Journal of Gastrointestinal Surgery. 25(4). 919–925. 9 indexed citations
4.
Chang, Zhenyu, et al.. (2019). Influence of Tumor Location on Lymph Node Metastasis and Survival for Early Gastric Cancer: a Population-Based Study. Journal of Gastrointestinal Surgery. 24(9). 1978–1986. 14 indexed citations
5.
Zhu, Minghua, et al.. (2018). Prognostic Value of the Number of Lymph Nodes Examined in Patients with Node-Negative Gastric Cancer. Journal of Gastrointestinal Surgery. 23(3). 460–467. 8 indexed citations
6.
Wu, Lingyun, Zhen-Nan Ye, Chenhui Zhou, et al.. (2017). Roles of Pannexin-1 Channels in Inflammatory Response through the TLRs/NF-Kappa B Signaling Pathway Following Experimental Subarachnoid Hemorrhage in Rats. Frontiers in Molecular Neuroscience. 10. 175–175. 46 indexed citations
7.
Xu, Bo, et al.. (2017). Primary adrenal malignant melanoma. Medicine. 96(51). e8956–e8956. 5 indexed citations
8.
Wang, Chun-xi, Shuli Guo, Lina Han, et al.. (2016). Computed Tomography Angiography in Diagnosis and Treatment of Splenic Artery Aneurysm. Chinese Medical Journal. 129(3). 367–369. 3 indexed citations
9.
Wang, Chun-xi, et al.. (2015). Constriction and dysfunction of pial arterioles after regional hemorrhage in the subarachnoid space. Brain Research. 1601. 85–91. 4 indexed citations
10.
Zhang, Xiangsheng, Qi Wu, Wei Li, et al.. (2014). Astaxanthin offers neuroprotection and reduces neuroinflammation in experimental subarachnoid hemorrhage. Journal of Surgical Research. 192(1). 206–213. 105 indexed citations
11.
Wang, Chun-xi. (2014). Preparation of Nano-sized Silver Particles by Liquid Chemical Reduction Method. 1 indexed citations
12.
Hao, Xiaoke, Wei Wu, Chun-xi Wang, et al.. (2014). Ghrelin alleviates early brain injury after subarachnoid hemorrhage via the PI3K/Akt signaling pathway. Brain Research. 1587. 15–22. 24 indexed citations
13.
You, Wanchun, Chun-xi Wang, Xin Zhang, et al.. (2013). Activation of Nuclear Factor-κB in the Brain after Experimental Subarachnoid Hemorrhage and Its Potential Role in Delayed Brain Injury. PLoS ONE. 8(3). e60290–e60290. 57 indexed citations
14.
Xu, Ning, et al.. (2012). Renal Primitive Malignant Tumor with Endocrine Activity. Medical Principles and Practice. 22(2). 200–203. 1 indexed citations
15.
Wang, Chun-xi. (2011). The Fabrication and Properties of Co-polymer Poly(lactic-co-glycolic acid) Ureteral Stent By Electrospining. 1 indexed citations
16.
Wang, Chun-xi. (2006). Evaluation of a new choanoid biodegradable ureteral stent in a canine model. Zhonghua miniao waike zazhi. 1 indexed citations
17.
Wang, Chun-xi. (2006). Hamiltonian analysis of transverse beam dynamics in high-brightness photoinjectors. Physical Review E. 74(4). 46502–46502. 12 indexed citations
18.
Wang, Chun-xi & Kwang-Je Kim. (2002). Linear Theory of Ionization Cooling in 6D Phase Space. Physical Review Letters. 88(18). 184801–184801. 6 indexed citations
19.
Harano, Hiroshi, et al.. (1999). p53 TUMOR SUPPRESSOR GENE MUTATION AND PROGNOSIS IN 105 CASES OF BLADDER CANCER. The Japanese Journal of Urology. 90(4). 487–495. 5 indexed citations
20.
Uchida, Τοyoaki, et al.. (1996). Microsatellite instability in transitional cell carcinoma of the urinary tract and its relationship to clinicopathological variables and smoking. International Journal of Cancer. 69(2). 142–145. 26 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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