Shuai Wu

789 total citations
33 papers, 564 citations indexed

About

Shuai Wu is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shuai Wu has authored 33 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shuai Wu's work include Glioma Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Meningioma and schwannoma management (4 papers). Shuai Wu is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Meningioma and schwannoma management (4 papers). Shuai Wu collaborates with scholars based in China, United States and Hungary. Shuai Wu's co-authors include Jinsong Wu, Hongyan Jia, N. U. Farrukh Hameed, Chen Luo, Xin Liu, Yanhong Wang, Junfeng Lu, Bin Wang, Zhiyong Qin and Aoxue Zhang and has published in prestigious journals such as Nature Communications, Neurology and Chemical Engineering Journal.

In The Last Decade

Shuai Wu

30 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuai Wu China 12 168 159 122 117 83 33 564
Karra A. Jones United States 16 118 0.7× 197 1.2× 106 0.9× 209 1.8× 54 0.7× 37 624
Gustavo Chagoya United States 17 143 0.9× 175 1.1× 76 0.6× 76 0.6× 71 0.9× 41 733
Zhiyong Qin China 15 117 0.7× 280 1.8× 77 0.6× 131 1.1× 64 0.8× 44 681
Aria Jamshidi United States 11 120 0.7× 210 1.3× 78 0.6× 77 0.7× 65 0.8× 44 524
Nicholas G. Avgeropoulos United States 10 234 1.4× 418 2.6× 179 1.5× 66 0.6× 99 1.2× 19 711
Ha Son Nguyen United States 17 144 0.9× 218 1.4× 90 0.7× 89 0.8× 66 0.8× 78 837
Chaofeng Liang China 12 115 0.7× 276 1.7× 142 1.2× 397 3.4× 77 0.9× 27 722
Yanhui Liu China 16 298 1.8× 244 1.5× 141 1.2× 119 1.0× 221 2.7× 101 884
David Cachia United States 16 157 0.9× 401 2.5× 215 1.8× 57 0.5× 88 1.1× 59 738
Ana Ortiz de Méndivil Spain 9 261 1.6× 125 0.8× 74 0.6× 50 0.4× 211 2.5× 14 459

Countries citing papers authored by Shuai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shuai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Wu. A scholar is included among the top collaborators of Shuai Wu 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 Shuai Wu. Shuai Wu 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, Yu, et al.. (2025). Local and Global Spatial–Temporal Transformer for skeleton-based action recognition. Neurocomputing. 634. 129820–129820. 3 indexed citations
2.
Dong, Siqi, et al.. (2025). Efgartigimod for immune checkpoint inhibitor induced polyradiculoneuropathy and cardiomyopathy: A case report. Experimental and Therapeutic Medicine. 30(4). 1–5.
3.
Tang, Hongyu, et al.. (2025). Wavelength-selective synaptic devices based on Graphdiyne/WSe2 for multi-color image recognition and neuromorphic computing. Chemical Engineering Journal. 517. 164215–164215.
4.
Wu, Jinsong, Shuai Wu, Jianhua Zhang, et al.. (2025). Rapid diagnosis of adult-type diffuse glioma using a layered scheme. BMC Medicine. 23(1). 325–325.
5.
Wu, Shuai, et al.. (2024). A clinically feasible algorithm for the parallel detection of glioma‐associated copy number variation markers based on shallow whole genome sequencing. The Journal of Pathology Clinical Research. 10(6). e70005–e70005. 1 indexed citations
6.
Li, Zeyang, Yanyan Song, N. U. Farrukh Hameed, et al.. (2024). Effect of high-field iMRI guided resection in cerebral glioma surgery: A randomized clinical trial. European Journal of Cancer. 199. 113528–113528. 9 indexed citations
7.
Sun, Shanyue, Qingwang Chen, Leming Shi, et al.. (2023). Overexpression of CD99 is associated with tumor adaptiveness and indicates the tumor recurrence and therapeutic responses in gliomas. Translational Oncology. 37. 101759–101759. 7 indexed citations
8.
Li, Yu, Bowen Li, Shuai Wu, et al.. (2023). Caveolin-1 protects against liver damage exacerbated by acetaminophen in non-alcoholic fatty liver disease by inhibiting the ERK/HIF-1α pathway. Molecular Immunology. 163. 104–115. 7 indexed citations
9.
Luo, Chen, Peng Wang, N. U. Farrukh Hameed, et al.. (2022). The Intraoperative Utilization of Multimodalities Could Improve the Prognosis of Adult Glioblastoma: A Single-Center Observational Study. World Neurosurgery. 165. e532–e545. 4 indexed citations
10.
Wu, Shuai, Rui Su, & Hongyan Jia. (2021). Cyclin B2 (CCNB2) Stimulates the Proliferation of Triple-Negative Breast Cancer (TNBC) Cells In Vitro and In Vivo. Disease Markers. 2021. 1–9. 23 indexed citations
11.
Wang, Peng, et al.. (2021). The Role of Surgery in IDH-Wild-Type Lower-Grade Gliomas: Threshold at a High Extent of Resection Should be Pursued. Neurosurgery. 88(6). 1136–1144. 7 indexed citations
12.
Zhang, Aoxue, Jing Li, Xin Liu, et al.. (2021). Doxorubicin-Induced Cognitive Impairment: The Mechanistic Insights. Frontiers in Oncology. 11. 673340–673340. 72 indexed citations
13.
Hameed, N. U. Farrukh, et al.. (2021). Germline ALK variations are associated with a poor prognosis in glioma and IDH-wildtype glioblastoma. Journal of Neuro-Oncology. 152(1). 27–36. 9 indexed citations
14.
Wang, Bin, Rui Li, Shuai Wu, et al.. (2021). Breast Cancer Resistance to Cyclin-Dependent Kinases 4/6 Inhibitors: Intricacy of the Molecular Mechanisms. Frontiers in Oncology. 11. 651541–651541. 17 indexed citations
15.
Hameed, N. U. Farrukh, Shuai Wu, Rui Feng, et al.. (2021). Impact of a pandemic on surgical neuro-oncology—maintaining functionality in the early phase of crisis. BMC Surgery. 21(1). 40–40. 9 indexed citations
16.
Zhao, Bo, Pingyu Liu, Takeshi Fukumoto, et al.. (2020). Topoisomerase 1 cleavage complex enables pattern recognition and inflammation during senescence. Nature Communications. 11(1). 908–908. 51 indexed citations
17.
Wu, Shuai, Junfeng Lu, Lan Su, et al.. (2020). Personalized Multimodal Demarcation of Peritumoral Tissue in Glioma. JCO Precision Oncology. 4(4). 1128–1140. 8 indexed citations
18.
Qin, Zhaojie, et al.. (2018). Periostin: a novel biomarker for chronic rhinosinusitis.. PubMed. 12(4). 305–313. 11 indexed citations
20.
Wu, Shuai, Tiantian Sun, Linlin Ren, et al.. (2013). Knockdown of ZFX inhibits gastric cancer cell growth in vitro and in vivo via downregulating the ERK-MAPK pathway. Cancer Letters. 337(2). 293–300. 51 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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