Qun Wang

474 total citations
20 papers, 293 citations indexed

About

Qun Wang is a scholar working on Neurology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Qun Wang has authored 20 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 4 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Qun Wang's work include Autoimmune Neurological Disorders and Treatments (4 papers), Peripheral Neuropathies and Disorders (3 papers) and Cellular transport and secretion (2 papers). Qun Wang is often cited by papers focused on Autoimmune Neurological Disorders and Treatments (4 papers), Peripheral Neuropathies and Disorders (3 papers) and Cellular transport and secretion (2 papers). Qun Wang collaborates with scholars based in China, Hong Kong and United States. Qun Wang's co-authors include Qingjun Zhou, Zhimei Li, Yao Zhang, Xiaoping Hong, Jian‐Zhi Wang, Qing Tian, Yinghua Liu, Caixia Peng, Wei Wei and Xiu‐Qing Yao and has published in prestigious journals such as Frontiers in Microbiology, Life Sciences and Medicine.

In The Last Decade

Qun Wang

19 papers receiving 291 citations

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 10 80 57 55 48 42 20 293
Daiana De Blasio Italy 8 92 1.1× 95 1.7× 33 0.6× 22 0.5× 132 3.1× 8 353
Emma Dawson United Kingdom 14 214 2.7× 38 0.7× 71 1.3× 28 0.6× 75 1.8× 48 539
Bo Young Chun South Korea 12 98 1.2× 96 1.7× 18 0.3× 37 0.8× 39 0.9× 41 376
Amina Gargouri Tunisia 10 138 1.7× 36 0.6× 37 0.7× 29 0.6× 37 0.9× 70 284
Christian Sindic Belgium 11 97 1.2× 63 1.1× 63 1.1× 68 1.4× 23 0.5× 25 364
Haruka Takeshige‐Amano Japan 12 202 2.5× 62 1.1× 45 0.8× 41 0.9× 32 0.8× 26 408
Laurent Kremer France 13 339 4.2× 55 1.0× 40 0.7× 57 1.2× 47 1.1× 31 560
Torge Rempe United States 10 130 1.6× 44 0.8× 100 1.8× 23 0.5× 31 0.7× 29 409
Karthik Muthusamy India 10 50 0.6× 118 2.1× 50 0.9× 17 0.4× 38 0.9× 43 268
Michele Siqueira Brazil 8 61 0.8× 71 1.2× 23 0.4× 34 0.7× 113 2.7× 11 261

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.
Wang, Yangyang, Wei Ren, Yinan Wang, et al.. (2025). Can large language models aid presurgical epileptogenic zone localization? A multisource text analysis performance study in drug-resistant epilepsy. International Journal of Surgery. 112(3). 5972–5982.
2.
Jia, Guozhu, et al.. (2024). MSTAN: multi-scale spatiotemporal attention network with adaptive relationship mining for remaining useful life prediction in complex systems. Measurement Science and Technology. 35(12). 125019–125019. 8 indexed citations
3.
Jiao, Zeyu, et al.. (2024). Improved REBA: deep learning based rapid entire body risk assessment for prevention of musculoskeletal disorders. Ergonomics. 67(10). 1356–1370. 4 indexed citations
4.
Wang, Qun, Qi Su, Bowen Liu, et al.. (2022). Enhanced Antiviral Ability by a Combination of Zidovudine and Short Hairpin RNA Targeting Avian Leukosis Virus. Frontiers in Microbiology. 12. 808982–808982. 5 indexed citations
5.
Fan, Pingping, Wei Shan, Huajun Yang, et al.. (2022). Cerebral Microbleed Automatic Detection System Based on the “Deep Learning”. Frontiers in Medicine. 9. 807443–807443. 10 indexed citations
6.
Chen, Xiaoli, Qun Wang, Jing Li, Huan Yang, & Si Chen. (2022). Concurrent Tuberculous Meningoencephalitis and Anti-NMDAR Encephalitis: A Case Report. Frontiers in Neurology. 13. 870607–870607. 1 indexed citations
7.
Zhou, Qingjun, Lingling Yang, Qun Wang, et al.. (2022). Mechanistic investigations of diabetic ocular surface diseases. Frontiers in Endocrinology. 13. 1079541–1079541. 43 indexed citations
8.
Shan, Wei, Jianwei Guo, Yulei Zhang, et al.. (2021). Automated Identification of Skull Fractures With Deep Learning: A Comparison Between Object Detection and Segmentation Approach. Frontiers in Neurology. 12. 687931–687931. 12 indexed citations
9.
Shan, Wei, Guipeng An, Qian Ren, & Qun Wang. (2021). Generation of SCN1B knock out induced pluripotent stem cell (iPSC) line (refractory epilepsy syndrome and Brugada syndrome related cell line). Stem Cell Research. 56. 102545–102545. 2 indexed citations
10.
Zheng, Yuansheng, Yiwei Huang, Guoshu Bi, et al.. (2021). Multi-omics characterization and validation of MSI-related molecular features across multiple malignancies. Life Sciences. 270. 119081–119081. 6 indexed citations
11.
Ren, Guoping, Jiechuan Ren, Wei Shan, et al.. (2021). The prognosis of late‐onset anti‐N‐methyl‐D‐aspartate receptor encephalitis in China. Acta Neurologica Scandinavica. 145(4). 449–455. 2 indexed citations
12.
Sood, Raman, Qun Wang, Morgan Park, et al.. (2020). Clinical and genomic analysis of a large Chinese family with familial cortical myoclonic tremor with epilepsy and SAMD12 intronic repeat expansion. Epilepsia Open. 6(1). 102–111. 11 indexed citations
13.
Duan, Yunyun, Wei Shan, Liying Liu, et al.. (2020). Primary Categorizing and Masking Cerebral Small Vessel Disease Based on “Deep Learning System”. Frontiers in Neuroinformatics. 14. 17–17. 16 indexed citations
14.
Zhang, Bi Ning, Qun Wang, Ting Liu, et al.. (2020). [A special on epidemic prevention and control: analysis on expression of 2019-nCoV related ACE2 and TMPRSS2 in eye tissues].. PubMed. 56(6). 438–446. 25 indexed citations
15.
Zhu, Fei, Wei Shan, Ruijuan Lv, Zhimei Li, & Qun Wang. (2020). Clinical characteristics of GAD 65‐associated autoimmune encephalitis. Acta Neurologica Scandinavica. 142(3). 281–293. 9 indexed citations
16.
Wang, Qun, Bin Chen, Dong Xiang, et al.. (2019). Novel Alanyl-tRNA Synthetase 2 Pathogenic Variants in Leukodystrophies. Frontiers in Neurology. 10. 1321–1321. 8 indexed citations
17.
Vossaert, Liesbeth, Qun Wang, Chunjing Qu, et al.. (2018). Reliable detection of subchromosomal deletions and duplications using cell‐based noninvasive prenatal testing. Prenatal Diagnosis. 38(13). 1069–1078. 31 indexed citations
18.
19.
Wang, Qun. (2013). An IoT Recycling Mode for Renewable Resources——Based on Community Convenience Stores. Industrial Engineering and Management. 1 indexed citations
20.
Hong, Xiaoping, Caixia Peng, Wei Wei, et al.. (2009). Essential role of tau phosphorylation in adult hippocampal neurogenesis. Hippocampus. 20(12). 1339–1349. 75 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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