Liankun Ren

1.4k total citations
65 papers, 874 citations indexed

About

Liankun Ren is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Liankun Ren has authored 65 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Psychiatry and Mental health, 32 papers in Cognitive Neuroscience and 27 papers in Cellular and Molecular Neuroscience. Recurrent topics in Liankun Ren's work include Epilepsy research and treatment (33 papers), EEG and Brain-Computer Interfaces (19 papers) and Neuroscience and Neuropharmacology Research (17 papers). Liankun Ren is often cited by papers focused on Epilepsy research and treatment (33 papers), EEG and Brain-Computer Interfaces (19 papers) and Neuroscience and Neuropharmacology Research (17 papers). Liankun Ren collaborates with scholars based in China, United States and France. Liankun Ren's co-authors include Tao Yu, Yuping Wang, Duanyu Ni, Xueyuan Wang, Di Wang, Penghu Wei, Gregory A. Worrell, Guoguang Zhao, Yongzhi Shan and Yongjie Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Liankun Ren

59 papers receiving 867 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liankun Ren China 16 427 372 366 270 106 65 874
Hui Ming Khoo Japan 16 585 1.4× 345 0.9× 297 0.8× 203 0.8× 105 1.0× 64 891
Agustina M. Lascano Switzerland 17 680 1.6× 417 1.1× 248 0.7× 185 0.7× 131 1.2× 39 1.2k
Jan Chrastina Czechia 17 425 1.0× 330 0.9× 340 0.9× 223 0.8× 95 0.9× 88 881
Francesca Pizzo France 18 918 2.1× 665 1.8× 469 1.3× 213 0.8× 117 1.1× 46 1.2k
Dirk‐Matthias Altenmüller Germany 17 396 0.9× 533 1.4× 331 0.9× 245 0.9× 249 2.3× 44 941
Garrett P. Banks United States 13 398 0.9× 194 0.5× 259 0.7× 173 0.6× 51 0.5× 30 795
Naotaka Usui Japan 19 546 1.3× 688 1.8× 549 1.5× 276 1.0× 310 2.9× 92 1.2k
Karine Ostrowsky‐Coste France 15 344 0.8× 557 1.5× 263 0.7× 222 0.8× 160 1.5× 24 765
Ganne Chaitanya United States 16 431 1.0× 310 0.8× 204 0.6× 202 0.7× 31 0.3× 43 725
L. Litewka Australia 10 658 1.5× 436 1.2× 271 0.7× 124 0.5× 121 1.1× 11 954

Countries citing papers authored by Liankun Ren

Since Specialization
Citations

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

Fields of papers citing papers by Liankun Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liankun Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Liankun Ren. A scholar is included among the top collaborators of Liankun Ren 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 Liankun Ren. Liankun Ren 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, Zhenming, Yihe Wang, Hang Cao, et al.. (2025). Quantitative Cortex‐Based Mapping With Hybrid 18 F‐ FDG ‐ PET / MR Images in MRI ‐Negative Epilepsy. CNS Neuroscience & Therapeutics. 31(4). e70336–e70336.
2.
Wu, Xintong, Feng Li, Xiong Han, et al.. (2025). Clinical practice guidelines for the administration of third-generation anti-seizure medications. Seizure. 134. 13–26.
3.
4.
Wang, Di, Xiaotong Fan, Yanfeng Yang, et al.. (2024). Epileptic Network Surgery: From Network Basis to Clinical Practice. Acta Neurologica Scandinavica. 2024(1).
5.
Bourdillon, Pierre, Liankun Ren, Mila Halgren, et al.. (2024). Differential cortical layer engagement during seizure initiation and spread in humans. Nature Communications. 15(1). 5153–5153. 4 indexed citations
6.
Wang, Qiao, Shimin Hu, Na Pan, et al.. (2023). Association of sleep complaints with all-cause and heart disease mortality among US adults. Frontiers in Public Health. 11. 1043347–1043347. 9 indexed citations
7.
Wang, Di, Penghu Wei, Xiaotong Fan, et al.. (2023). Integrative roles of human amygdala subdivisions: Insight from direct intracerebral stimulations via stereotactic EEG. Human Brain Mapping. 44(9). 3610–3623. 11 indexed citations
8.
Wang, Xueyuan, Frédéric Schaper, Di Wu, et al.. (2023). Functional connectomic profile correlates with effective anterior thalamic stimulation for refractory epilepsy. Brain stimulation. 16(5). 1302–1309. 7 indexed citations
9.
Wang, Xueyuan, Tao Yu, Duanyu Ni, et al.. (2022). The anterior nucleus of the thalamus plays a role in the epileptic network. Annals of Clinical and Translational Neurology. 9(12). 2010–2024. 5 indexed citations
10.
Xie, Kexin, Yaojing Chen, Min Kyung Chu, et al.. (2022). Specific structuro-metabolic pattern of thalamic subnuclei in fatal familial insomnia: A PET/MRI imaging study. NeuroImage Clinical. 34. 103026–103026. 4 indexed citations
11.
Liu, Jing, Hui Zhang, Tao Yu, et al.. (2021). Transformative neural representations support long-term episodic memory. Science Advances. 7(41). eabg9715–eabg9715. 35 indexed citations
12.
13.
Wang, Zhenming, Penghu Wei, Chao Lu, et al.. (2021). Lateralizing the affected side of hippocampal sclerosis with quantitative high angular resolution diffusion scalars: a preliminary approach validated by diffusion spectrum imaging. Annals of Translational Medicine. 9(4). 297–297. 5 indexed citations
14.
Wang, Yuping, Dong Zhou, Xiaofeng Yang, et al.. (2020). Expert consensus on clinical applications of high-frequency oscillations in epilepsy. SHILAP Revista de lepidopterología. 2(1). 14 indexed citations
15.
Wang, Di, Yongzhi Shan, Fabrice Bartoloméi, et al.. (2020). Electrophysiological properties and seizure networks in hypothalamic hamartoma. Annals of Clinical and Translational Neurology. 7(5). 653–666. 16 indexed citations
16.
Wang, Xueyuan, Jialin Du, Di Wang, et al.. (2020). Long-term outcome of unilateral deep brain stimulation of the subthalamic nucleus for a patient with drug-resistant focal myoclonic seizure. Annals of Translational Medicine. 8(1). 18–18. 12 indexed citations
17.
Zhang, Huaqiang, Di Wang, Liankun Ren, et al.. (2019). Ictal swearing network confirmed by stereoencephalography: a case report. Acta Neurochirurgica. 161(12). 2499–2503. 2 indexed citations
18.
Zhang, Huaqiang, Muyang Li, Jialin Du, et al.. (2018). Stereoelectroencephalography-guided three-dimensional radiofrequency thermocoagulation for the treatment of drug-resistant epilepsy. Zhonghua shenjing waike zazhi. 34(12). 1197–1201. 1 indexed citations
19.
Li, Yanyan, et al.. (2017). Automatic and Precise Localization and Cortical Labeling of Subdural and Depth Intracranial Electrodes. Frontiers in Neuroinformatics. 11. 10–10. 33 indexed citations
20.
Ren, Liankun, Liri Jin, Boyu Zhang, et al.. (2005). Lack of GABABR1 gene variation (G1465A) in a Chinese population with temporal lobe epilepsy. Seizure. 14(8). 611–613. 9 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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