Yao Ding

1.2k total citations
64 papers, 781 citations indexed

About

Yao Ding is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Yao Ding has authored 64 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Psychiatry and Mental health, 17 papers in Cellular and Molecular Neuroscience and 17 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Yao Ding's work include Epilepsy research and treatment (35 papers), Neuroscience and Neuropharmacology Research (16 papers) and Pharmacological Effects and Toxicity Studies (16 papers). Yao Ding is often cited by papers focused on Epilepsy research and treatment (35 papers), Neuroscience and Neuropharmacology Research (16 papers) and Pharmacological Effects and Toxicity Studies (16 papers). Yao Ding collaborates with scholars based in China, United States and New Zealand. Yao Ding's co-authors include Meiping Ding, Yi Guo, Shuang Wang, Chun‐Hong Shen, Ye‐Lei Tang, Shan Wang, Bo Jin, Junming Zhu, Hua Qu and Yinxi Zhang and has published in prestigious journals such as Nature Communications, PLoS ONE and Brain Research.

In The Last Decade

Yao Ding

56 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yao Ding China 17 352 210 153 152 112 64 781
Sen-yang Lang China 17 228 0.6× 175 0.8× 119 0.8× 87 0.6× 134 1.2× 39 681
Wen‐Neng Chang Taiwan 16 264 0.8× 228 1.1× 122 0.8× 199 1.3× 146 1.3× 26 781
Simona Balestrini Italy 19 673 1.9× 327 1.6× 292 1.9× 168 1.1× 90 0.8× 77 1.3k
Fabio Minicucci Italy 24 334 0.9× 198 0.9× 199 1.3× 439 2.9× 265 2.4× 63 1.8k
Batool Kirmani United States 17 405 1.2× 376 1.8× 132 0.9× 169 1.1× 35 0.3× 42 923
Javier Salas‐Puig Spain 20 799 2.3× 611 2.9× 260 1.7× 95 0.6× 120 1.1× 66 1.1k
Johannes Lang Germany 16 253 0.7× 185 0.9× 205 1.3× 173 1.1× 59 0.5× 74 1000
Katherine B. Howell Australia 23 684 1.9× 252 1.2× 310 2.0× 753 5.0× 156 1.4× 47 2.0k
Alessandro Príncipe Spain 15 233 0.7× 122 0.6× 190 1.2× 56 0.4× 53 0.5× 51 783
Les Shaw United States 10 443 1.3× 104 0.5× 53 0.3× 157 1.0× 434 3.9× 18 1.0k

Countries citing papers authored by Yao Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yao Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Yao Ding. A scholar is included among the top collaborators of Yao Ding 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 Yao Ding. Yao Ding 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.
Xu, Sha, Qianwen Zhu, Chun‐Hong Shen, et al.. (2025). Ictal scalp EEG patterns are shaped by seizure etiology in temporal lobe epilepsy. Epilepsia Open. 10(2). 466–476. 1 indexed citations
3.
Chen, Cong, Hong Li, Ruyi Wang, et al.. (2024). Altered structural network in temporal lobe epilepsy with focal to bilateral tonic–clonic seizures. Annals of Clinical and Translational Neurology. 11(9). 2277–2288. 1 indexed citations
4.
Wang, Shan, Bo Jin, Zhongjin Wang, et al.. (2024). Widespread slow oscillations support interictal epileptiform discharge networks in focal epilepsy. Neurobiology of Disease. 191. 106409–106409. 3 indexed citations
5.
Wang, Leilei, et al.. (2024). Ketogenic diet therapy leads to antiseizure medication reduction in children and adults with drug‐resistant epilepsy. CNS Neuroscience & Therapeutics. 30(7). e14854–e14854. 3 indexed citations
6.
He, Chenmin, Wenhan Hu, Cong Chen, et al.. (2023). Pre-ictal fluctuation of EEG functional connectivity discriminates seizure phenotypes in mesial temporal lobe epilepsy. Clinical Neurophysiology. 151. 107–115. 2 indexed citations
7.
Chen, Cong, Yunling Wang, Xiaochen Liu, et al.. (2023). A region‐specific modulation of sleep slow waves on interictal epilepsy markers in focal epilepsy. Epilepsia. 64(4). 973–985. 8 indexed citations
8.
Fei, Fan, Cenglin Xu, Yiwei Gong, et al.. (2022). Discrete subicular circuits control generalization of hippocampal seizures. Nature Communications. 13(1). 5010–5010. 37 indexed citations
9.
Li, Hong, Shan Wang, Yao Ding, et al.. (2022). Efficacy of the ketogenic diet in Chinese adults versus children with drug-resistant epilepsy: A pilot study. Epilepsy & Behavior. 134. 108820–108820. 8 indexed citations
10.
He, Chenmin, Cong Chen, Bo Jin, et al.. (2022). Hippocampal Malrotation Could Be Less Significant in Epilepsy Caused by Focal Cortical Dysplasia Type I and Type II. Frontiers in Neurology. 13. 755022–755022.
11.
Tian, Mei, Yasuyoshi Watanabe, Keon Wook Kang, et al.. (2021). International consensus on the use of [18F]-FDG PET/CT in pediatric patients affected by epilepsy. European Journal of Nuclear Medicine and Molecular Imaging. 48(12). 3827–3834. 18 indexed citations
12.
Zheng, Zhe, Hongjie Jiang, Hemmings Wu, et al.. (2021). Epilepsy surgery for low-grade epilepsy-associated neuroepithelial tumor of temporal lobe: a single-institution experience of 61 patients. Neurological Sciences. 43(5). 3333–3341. 6 indexed citations
13.
Chen, Cong, Chenmin He, Junming Zhu, et al.. (2020). Cortical Excitability in Temporal Lobe Epilepsy with Bilateral Tonic-Clonic Seizures. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 48(5). 648–654. 1 indexed citations
14.
Wu, Rui, Yao Ding, Qing Zhou, et al.. (2018). Relation of plasma galectin-3 level with parameters of chronic inflammation and insulin resistance in the patients with polycystic ovary syndrome. Zhonghua neifenmi daixie zazhi. 34(7). 578–582. 1 indexed citations
15.
Shen, Chun‐Hong, Bijun Zhang, Zhirong Liu, et al.. (2017). Effects of ABCB1, ABCC2, UGT2B7 and HNF4α genetic polymorphisms on oxcarbazepine concentrations and therapeutic efficacy in patients with epilepsy. Seizure. 51. 102–106. 25 indexed citations
16.
Wang, Shan, Yao Ding, Xiaoyan Ding, et al.. (2016). Effectiveness of ketogenic diet in pentylenetetrazol-induced and kindling rats as well as its potential mechanisms. Neuroscience Letters. 614. 1–6. 7 indexed citations
17.
Zhang, Yinxi, Chun‐Hong Shen, Yi Guo, et al.. (2016). BRAF V600E mutation in epilepsy-associated glioneuronal tumors: Prevalence and correlation with clinical features in a Chinese population. Seizure. 45. 102–106. 15 indexed citations
18.
Guo, Yi, Xiaoyan Ding, Chun‐Hong Shen, et al.. (2015). Depression and anxiety are associated with reduced antiepileptic drug adherence in Chinese patients. Epilepsy & Behavior. 50. 91–95. 40 indexed citations
19.
20.
Wu, Jiong, et al.. (2012). Proteomic analysis of the cerebrospinal fluid in multiple sclerosis and neuromyelitis optica patients. Molecular Medicine Reports. 6(5). 1081–1086. 19 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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