Qun Wang

3.3k total citations · 1 hit paper
110 papers, 2.2k citations indexed

About

Qun Wang is a scholar working on Neurology, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Qun Wang has authored 110 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Neurology, 37 papers in Psychiatry and Mental health and 28 papers in Cellular and Molecular Neuroscience. Recurrent topics in Qun Wang's work include Epilepsy research and treatment (34 papers), Autoimmune Neurological Disorders and Treatments (23 papers) and Neuroscience and Neuropharmacology Research (22 papers). Qun Wang is often cited by papers focused on Epilepsy research and treatment (34 papers), Autoimmune Neurological Disorders and Treatments (23 papers) and Neuroscience and Neuropharmacology Research (22 papers). Qun Wang collaborates with scholars based in China, United States and Philippines. Qun Wang's co-authors include Grace Y. Sun, Ágnes Simonyi, Albert Y. Sun, Jianping Wu, Wei Shan, Huajun Yang, Sue Yu, Fei Zhu, Ronald J. Korthuis and Kenneth Tompkins and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Qun Wang

103 papers receiving 2.1k citations

Hit Papers

Bifidobacterium breve CCFM1025 attenuates major depressio... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qun Wang China 22 809 474 438 437 399 110 2.2k
Efthalia Angelopoulou Greece 28 762 0.9× 452 1.0× 501 1.1× 378 0.9× 450 1.1× 94 2.4k
Francisco J. Gil‐Bea Spain 31 831 1.0× 833 1.8× 372 0.8× 662 1.5× 309 0.8× 53 2.5k
Maheedhar Kodali United States 27 861 1.1× 319 0.7× 227 0.5× 326 0.7× 433 1.1× 49 2.1k
Mansi Babbar United States 9 1.1k 1.3× 764 1.6× 294 0.7× 316 0.7× 462 1.2× 11 2.5k
Reza Rahimian Iran 34 779 1.0× 335 0.7× 203 0.5× 589 1.3× 540 1.4× 87 2.7k
Chun‐Hsien Chu Taiwan 24 582 0.7× 238 0.5× 232 0.5× 413 0.9× 468 1.2× 60 1.8k
Chandramohan Wakade United States 27 738 0.9× 340 0.7× 423 1.0× 501 1.1× 389 1.0× 43 2.2k
Marina Concli Leite Brazil 33 1.3k 1.6× 650 1.4× 461 1.1× 510 1.2× 675 1.7× 75 2.9k
Federica Ferrari Italy 28 762 0.9× 381 0.8× 195 0.4× 758 1.7× 390 1.0× 120 2.6k
Joanna Pera Poland 28 690 0.9× 355 0.7× 663 1.5× 263 0.6× 466 1.2× 100 2.7k

Countries citing papers authored by Qun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qun Wang. A scholar is included among the top collaborators of Qun 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 Qun Wang. Qun 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.
Li, Zilin, Jiechuan Ren, Baotian Zhao, et al.. (2025). Concordant interictal stereoelectroencephalographic high‐frequency oscillations and magnetoencephalography predict better surgical outcomes in focal epilepsy. Epilepsia. 66(10). 3880–3894. 1 indexed citations
3.
Chen, Junmin, Lulu Yu, Jingyu Sun, et al.. (2025). 3‐HKA Promotes Vascular Remodeling After Stroke by Modulating the Activation of A1/A2 Reactive Astrocytes. Advanced Science. 12(11). e2412667–e2412667. 6 indexed citations
4.
Xu, Xinqi, Qun Wang, Weiwei Chen, et al.. (2025). TSC22D1 promotes liver sinusoidal endothelial cell dysfunction and induces macrophage M1 polarization in non-alcoholic fatty liver disease. World Journal of Gastroenterology. 31(31). 109605–109605.
6.
Wu, Shasha, et al.. (2024). Impact of intracranial subclinical seizures on seizure outcomes after SLAH in patients with mesial temporal lobe epilepsy. Clinical Neurophysiology. 160. 121–129. 1 indexed citations
7.
Zhao, Xiaobin, et al.. (2023). Metabolic phenotyping of pilomotor seizures in autoimmune encephalitis. CNS Neuroscience & Therapeutics. 29(9). 2522–2529. 5 indexed citations
8.
Wang, Kai, Xiaobin Zhao, Leilei Yuan, et al.. (2023). Cortical metabolic characteristics of anti-leucine-rich glioma-inactivated 1 antibody encephalitis based on 18F-FDG PET. Frontiers in Neurology. 14. 1100760–1100760. 1 indexed citations
9.
Wang, Qun, et al.. (2023). Imaging diagnosis of intravenous leiomyomatosis: an institutional experience. Clinical Radiology. 78(9). 655–660. 3 indexed citations
10.
Yang, Huajun, Jingjing Fan, Tony Wang, et al.. (2023). Transcutaneous Auricular Vagus Nerve Stimulation (ta-VNS) for Treatment of Drug-Resistant Epilepsy: A Randomized, Double-Blind Clinical Trial. Neurotherapeutics. 20(3). 870–880. 36 indexed citations
11.
12.
Yang, Huajun, W. Shan, Jiahui Deng, et al.. (2022). Mapping the neural circuits responding to deep brain stimulation of the anterior nucleus of the thalamus in the rat brain. Epilepsy Research. 187. 107027–107027. 2 indexed citations
13.
Ren, Guoping, et al.. (2022). Intrinsic Brain Activity in Temporal Lobe Epilepsy With and Without Depression: Insights From EEG Microstates. Frontiers in Neurology. 12. 753113–753113. 10 indexed citations
14.
Li, Zhibao, Guoping Ren, Chong Liu, et al.. (2021). Dysfunctional Brain Dynamics of Parkinson's Disease and the Effect of Acute Deep Brain Stimulation. Frontiers in Neuroscience. 15. 697909–697909. 7 indexed citations
15.
Tian, Peijun, Ying Chen, Huiyue Zhu, et al.. (2021). Bifidobacterium breve CCFM1025 attenuates major depression disorder via regulating gut microbiome and tryptophan metabolism: A randomized clinical trial. Brain Behavior and Immunity. 100. 233–241. 242 indexed citations breakdown →
16.
Shan, Wei, et al.. (2021). Presurgical Evaluation of Epilepsy Using Resting-State MEG Functional Connectivity. Frontiers in Human Neuroscience. 15. 649074–649074. 9 indexed citations
17.
Ren, Guoping, Jiaqing Yan, Jiechuan Ren, et al.. (2020). Association Between Interictal High-Frequency Oscillations and Slow Wave in Refractory Focal Epilepsy With Good Surgical Outcome. Frontiers in Human Neuroscience. 14. 335–335. 8 indexed citations
18.
Hong, Xiao‐Yue, Yali Wang, Xia‐Chun Li, et al.. (2019). Tau accumulation triggers STAT 1‐dependent memory deficits by suppressing NMDA receptor expression. EMBO Reports. 20(6). 54 indexed citations
19.
Wang, Haixiang, Olivier David, Wenjing Zhou, et al.. (2018). Distinctive epileptogenic networks for parietal operculum seizures. Epilepsy & Behavior. 91. 59–67. 5 indexed citations
20.
Xu, Jinghui, Xiao Zhou, Kai Chen, et al.. (2018). Mitochondrial Creatine Kinase is Decreased in the Serum of Idiopathic Parkinson’s Disease Patients. Aging and Disease. 10(3). 601–601. 29 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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