Shukai Wu

677 total citations
10 papers, 558 citations indexed

About

Shukai Wu is a scholar working on Molecular Biology, Epidemiology and Cognitive Neuroscience. According to data from OpenAlex, Shukai Wu has authored 10 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Cognitive Neuroscience. Recurrent topics in Shukai Wu's work include Heme Oxygenase-1 and Carbon Monoxide (3 papers), Functional Brain Connectivity Studies (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Shukai Wu is often cited by papers focused on Heme Oxygenase-1 and Carbon Monoxide (3 papers), Functional Brain Connectivity Studies (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Shukai Wu collaborates with scholars based in China, Netherlands and Japan. Shukai Wu's co-authors include Huangde Fu, Xiangrong Chen, Chunnuan Chen, Fuxing Yang, Yasong Li, Weipeng Hu, Junyan Chen, Shun Li, Hongzhi Gao and Weibin Lin and has published in prestigious journals such as Journal of Neurotrauma, Journal of Neuroinflammation and Artificial Cells Nanomedicine and Biotechnology.

In The Last Decade

Shukai Wu

10 papers receiving 555 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shukai Wu China 6 230 162 120 99 93 10 558
Huangde Fu China 11 459 2.0× 256 1.6× 158 1.3× 155 1.6× 99 1.1× 19 984
Zhen-Nan Ye China 12 248 1.1× 168 1.0× 198 1.6× 92 0.9× 28 0.3× 19 593
Danijela Savić Serbia 18 205 0.9× 203 1.3× 79 0.7× 48 0.5× 46 0.5× 41 678
Denise M. Arrick United States 18 127 0.6× 269 1.7× 64 0.5× 86 0.9× 17 0.2× 32 664
Ruxun Huang China 17 202 0.9× 457 2.8× 127 1.1× 206 2.1× 22 0.2× 46 974
Jiang Fang China 13 346 1.5× 82 0.5× 138 1.1× 84 0.8× 22 0.2× 23 621
Sergey Lupachyk United States 13 168 0.7× 49 0.3× 130 1.1× 61 0.6× 34 0.4× 17 684
Nathan A. Heldt United States 8 137 0.6× 220 1.4× 64 0.5× 86 0.9× 23 0.2× 9 580
Sihua Qi China 15 283 1.2× 145 0.9× 44 0.4× 67 0.7× 18 0.2× 28 625
Vineet Kumar Khemka India 10 147 0.6× 67 0.4× 64 0.5× 137 1.4× 68 0.7× 17 620

Countries citing papers authored by Shukai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shukai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shukai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shukai Wu. A scholar is included among the top collaborators of Shukai 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 Shukai Wu. Shukai Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Wu, Shukai, et al.. (2024). Disrupted Functional Brain Network Architecture in Sufferers with Boxing-Related Repeated Mild Traumatic Brain Injury: A Resting-State EEG Study. Journal of Integrative Neuroscience. 23(5). 102–102. 3 indexed citations
2.
Wu, Shukai, et al.. (2022). Repeated Subconcussive Exposure Alters Low-Frequency Neural Oscillation in Memory Retrieval Processing. Journal of Neurotrauma. 39(5-6). 398–410. 4 indexed citations
3.
Chen, Aobo, et al.. (2022). Hyperprolactinemia Associated with Attentional Processing and Interference Control Impairments in Patients with Prolactinomas. Brain Sciences. 12(8). 1091–1091. 6 indexed citations
4.
Chen, Aobo, et al.. (2021). Altered Attention Network in Paratroopers Exposed to Repetitive Subconcussion: Evidence Based on Behavioral and Event-Related Potential Results. Journal of Neurotrauma. 38(23). 3306–3314. 11 indexed citations
7.
Chen, Xiangrong, Weibin Lin, Shukai Wu, et al.. (2018). Omega-3 polyunsaturated fatty acid attenuates traumatic brain injury-induced neuronal apoptosis by inducing autophagy through the upregulation of SIRT1-mediated deacetylation of Beclin-1. Journal of Neuroinflammation. 15(1). 310–310. 86 indexed citations
8.
Chen, Xiangrong, Shun Li, Yumin Ke, et al.. (2018). KLF16 suppresses human glioma cell proliferation and tumourigenicity by targeting TFAM. Artificial Cells Nanomedicine and Biotechnology. 46(sup1). 608–615. 26 indexed citations
9.
Chen, Xiangrong, Shukai Wu, Chunnuan Chen, et al.. (2017). Omega-3 polyunsaturated fatty acid supplementation attenuates microglial-induced inflammation by inhibiting the HMGB1/TLR4/NF-κB pathway following experimental traumatic brain injury. Journal of Neuroinflammation. 14(1). 143–143. 203 indexed citations
10.
Wu, Shukai, Junyan Chen, & Hongzhi Gao. (2011). Brain injury and β-amyloid precursor protein, β-amyloid protein. 38(1). 59–62. 1 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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