Wei‐Ping Liao

4.6k total citations · 1 hit paper
122 papers, 2.7k citations indexed

About

Wei‐Ping Liao is a scholar working on Molecular Biology, Genetics and Psychiatry and Mental health. According to data from OpenAlex, Wei‐Ping Liao has authored 122 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 55 papers in Genetics and 39 papers in Psychiatry and Mental health. Recurrent topics in Wei‐Ping Liao's work include Genetics and Neurodevelopmental Disorders (44 papers), Epilepsy research and treatment (39 papers) and Genomics and Rare Diseases (28 papers). Wei‐Ping Liao is often cited by papers focused on Genetics and Neurodevelopmental Disorders (44 papers), Epilepsy research and treatment (39 papers) and Genomics and Rare Diseases (28 papers). Wei‐Ping Liao collaborates with scholars based in China, United States and Japan. Wei‐Ping Liao's co-authors include Yong‐Hong Yi, Yi‐Wu Shi, Na He, Tao Su, Xiao‐Rong Liu, Yue‐Sheng Long, Zhi-Jian Lin, Haiqing Xu, Liu Liu and Jie Wang and has published in prestigious journals such as Nature Neuroscience, Brain and Scientific Reports.

In The Last Decade

Wei‐Ping Liao

113 papers receiving 2.7k citations

Hit Papers

Epilepsy-associated genes 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei‐Ping Liao China 30 1.2k 1.1k 918 684 315 122 2.7k
Yi‐Wu Shi China 22 682 0.6× 642 0.6× 537 0.6× 453 0.7× 164 0.5× 58 1.7k
Christopher J. Yuskaitis United States 16 914 0.8× 588 0.6× 265 0.3× 309 0.5× 157 0.5× 31 1.7k
Nicholas Rensing United States 24 971 0.8× 329 0.3× 367 0.4× 626 0.9× 149 0.5× 44 2.4k
Ren‐Wu Chen United States 17 970 0.8× 294 0.3× 386 0.4× 657 1.0× 98 0.3× 20 2.0k
Alberto Pérez-Samartı́n Spain 25 926 0.8× 168 0.2× 240 0.3× 973 1.4× 140 0.4× 50 2.9k
Juan A. Godoy Chile 34 2.1k 1.7× 656 0.6× 222 0.2× 1.0k 1.5× 89 0.3× 67 3.9k
Tohru Ohnuma Japan 24 839 0.7× 338 0.3× 294 0.3× 574 0.8× 41 0.1× 86 2.0k
Patrizia De Sarno United States 22 1.3k 1.1× 300 0.3× 218 0.2× 591 0.9× 72 0.2× 34 2.9k
Yasue Horiuchi Japan 25 475 0.4× 316 0.3× 248 0.3× 405 0.6× 37 0.1× 61 1.5k
Mireille Lerner‐Natoli France 30 787 0.7× 116 0.1× 589 0.6× 1.3k 1.9× 291 0.9× 52 2.4k

Countries citing papers authored by Wei‐Ping Liao

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Ping Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Ping Liao. 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 Wei‐Ping Liao. The network helps show where Wei‐Ping Liao may publish in the future.

Co-authorship network of co-authors of Wei‐Ping Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Ping Liao. A scholar is included among the top collaborators of Wei‐Ping Liao 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 Wei‐Ping Liao. Wei‐Ping Liao 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
2.
Zhai, Qiong‐Xiang, Jie Wang, Jingjing Ji, et al.. (2025). RYR3 Variants Are Potentially Associated With Idiopathic (Non‐Lesional) Partial Epilepsy/Susceptibility of Seizures, Toward Understanding the Gene‐Disease Association by Genetic Dependent Nature. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 198(5). e33023–e33023. 1 indexed citations
3.
Meng, Xianghong, Wuchen Wu, Jing Guo, et al.. (2025). De novo SRCAP variants cause developmental and epileptic encephalopathy and the phenotypic spectrum. Epilepsia. 67(2). 846–861.
4.
Zhang, Wenjun, Sheng Luo, Yunhong Wu, et al.. (2024). CSMD1 as a causative gene of developmental and epileptic encephalopathy and generalized epilepsies. Genes & Diseases. 12(4). 101473–101473. 6 indexed citations
5.
Zhang, Mengwen, Jing Guo, Bin Li, et al.. (2024). Characteristic spatial and frequency distribution of mutations in SCN1A. PubMed. 6(1). 37–37.
6.
Li, Hua, Jie Wang, Bin Tang, et al.. (2024). IFIH1variants are associated with generalised epilepsy preceded by febrile seizures. Journal of Medical Genetics. 61(9). 895–903. 2 indexed citations
7.
Liao, Wei‐Ping, et al.. (2024). Scalable and Efficient Support Vector Regression Model in Power Systems. 2532–2538. 1 indexed citations
8.
Li, Bing-Mei, Jie Wang, Na He, et al.. (2024). NUS1 Variants Cause Lennox-Gastaut Syndrome Related to Unfolded Protein Reaction Activation. Molecular Neurobiology. 61(11). 8518–8530.
9.
Zhang, Mengwen, Xiaoyu Liang, Jie Wang, et al.. (2023). Epilepsy-associated genes: an update. Seizure. 116. 4–13. 32 indexed citations
10.
Anderson, Alison, Yi‐Wu Shi, Ching Ching Ng, et al.. (2022). Potential role of regulatory DNA variants in modifying the risk of severe cutaneous reactions induced by aromatic anti‐seizure medications. Epilepsia. 63(4). 936–949. 5 indexed citations
11.
Zhou, Xijing, Haiqing Xu, Bin Tang, et al.. (2021). Differences in SCN1A intronic variants result in diverse aberrant splicing patterns and are related to the phenotypes of epilepsy with febrile seizures. Epilepsy Research. 176. 106711–106711. 6 indexed citations
12.
Chen, Qian, Christopher A Deister, Xianhua Gao, et al.. (2020). Dysfunction of cortical GABAergic neurons leads to sensory hyper-reactivity in a Shank3 mouse model of ASD. Nature Neuroscience. 23(4). 520–532. 122 indexed citations
13.
Chen, Qian, Christopher A Deister, Xianhua Gao, et al.. (2020). Dysfunction of cortical GABAergic neurons leads to sensory hyper-reactivity in a Shank3 mouse model of ASD. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
14.
Liu, Ting, Shujing Liu, Qi‐Hua Zhao, et al.. (2014). A MicroRNA Profile in Fmr1 Knockout Mice Reveals MicroRNA Expression Alterations with Possible Roles in Fragile X Syndrome. Molecular Neurobiology. 51(3). 1053–1063. 29 indexed citations
15.
Lv, Yudan, Wei‐Ping Liao, Na He, et al.. (2013). The association between oxcarbazepine-induced maculopapular eruption and HLA-B alleles in a Northern Han Chinese population. BMC Neurology. 13(1). 75–75. 29 indexed citations
16.
Tian, Hui, Wei‐Ping Liao, Jie Lian, et al.. (2013). The targeting and functions of miRNA-383 are mediated by FMRP during spermatogenesis. Cell Death and Disease. 4(5). e617–e617. 50 indexed citations
17.
Liao, Wei‐Ping. (2012). Long-term retention rate and side effects of ketogenic diet in Chinese patients with refraetory epilepsy. 1 indexed citations
18.
Qin, Bing, et al.. (2010). Association between polymorphism of exon 7-21 C>T in SCN1A and generalized epilepsy with febrile seizures plus patients.. Journal of Tropical Medicine. 10(5). 582–601. 1 indexed citations
19.
Shi, Yi‐Wu, Mei‐Mei Gao, Xiao‐Rong Liu, et al.. (2010). Milder phenotype with SCN1A truncation mutation other than SMEI. Seizure. 19(7). 443–445. 19 indexed citations
20.
Liao, Wei‐Ping, et al.. (2007). Effect of astragalus polysaccharides and soy isoflavones on glucose metabolism in diabetic rats. Di-san junyi daxue xuebao. 416–418. 5 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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