Ting Yan

1.7k total citations
57 papers, 962 citations indexed

About

Ting Yan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ting Yan has authored 57 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 12 papers in Cellular and Molecular Neuroscience and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ting Yan's work include Functional Brain Connectivity Studies (17 papers), Neural dynamics and brain function (10 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Ting Yan is often cited by papers focused on Functional Brain Connectivity Studies (17 papers), Neural dynamics and brain function (10 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Ting Yan collaborates with scholars based in China, Japan and United Kingdom. Ting Yan's co-authors include Bin Wang, Stephen P. Hunt, S. Clare Stanford, Jie Xiang, Yi-Zhong Fan, Dandan Li, Ruiyu Wang, Minmin Luo, Yan Niu and Yulong Li and has published in prestigious journals such as Neuron, Nature Immunology and PLoS ONE.

In The Last Decade

Ting Yan

56 papers receiving 950 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting Yan China 18 383 225 190 154 123 57 962
Masaru Kuroda Japan 24 496 1.3× 667 3.0× 347 1.8× 46 0.3× 67 0.5× 88 1.8k
William A. Myers United States 14 191 0.5× 202 0.9× 37 0.2× 37 0.2× 157 1.3× 66 772
Colin Mahoney United Kingdom 22 459 1.2× 202 0.9× 277 1.5× 368 2.4× 273 2.2× 54 2.0k
John J. Sloper United Kingdom 25 1.0k 2.7× 770 3.4× 548 2.9× 57 0.4× 178 1.4× 69 2.0k
Sharon Kim United States 19 726 1.9× 366 1.6× 209 1.1× 229 1.5× 72 0.6× 31 1.6k
Isabelle Buard United States 13 237 0.6× 299 1.3× 258 1.4× 63 0.4× 124 1.0× 27 725
Matt Giguere United States 5 524 1.4× 228 1.0× 49 0.3× 50 0.3× 48 0.4× 6 689
Daniela Schulz Germany 24 551 1.4× 874 3.9× 394 2.1× 73 0.5× 104 0.8× 58 2.0k
Rebecca Shafee United States 9 802 2.1× 36 0.2× 41 0.2× 98 0.6× 63 0.5× 14 1.4k
Lydia Wood United States 9 485 1.3× 384 1.7× 215 1.1× 205 1.3× 203 1.7× 9 1.1k

Countries citing papers authored by Ting Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ting Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Yan. A scholar is included among the top collaborators of Ting Yan 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 Ting Yan. Ting Yan 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.
Lu, Jiali, Ting Yan, Weiguo Pan, & Liwei Wang. (2025). Absorption of CO2 by amino acid-functionalized ionic liquids: Mechanisms, properties, and outlook. Journal of Energy Chemistry. 104. 594–608. 12 indexed citations
2.
Huang, Yin, Ying Li, Yuting Yuan, et al.. (2024). Beta-informativeness-diffusion multilayer graph embedding for brain network analysis. Frontiers in Neuroscience. 18. 1303741–1303741. 1 indexed citations
3.
Yan, Ting, et al.. (2023). AppraisalCloudPCT: A Computational Model of Emotions for Socially Interactive Robots for Autistic Rehabilitation. Computational Intelligence and Neuroscience. 2023(1). 5960764–5960764. 2 indexed citations
4.
Huang, Ting, Bing Fan, Rui Zhang, et al.. (2023). Application of DCE-MRI radiomics signature analysis in differentiating molecular subtypes of luminal and non-luminal breast cancer. Frontiers in Medicine. 10. 1140514–1140514. 9 indexed citations
5.
Li, Dandan, et al.. (2023). Alzheimer’s Disease: Insights from Large-Scale Brain Dynamics Models. Brain Sciences. 13(8). 1133–1133. 4 indexed citations
6.
Yan, Ting, Lili Liu, Guohui Chen, et al.. (2023). Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network. Frontiers in Computational Neuroscience. 16. 916511–916511. 5 indexed citations
7.
Lin, Rui, Youtong Zhou, Ting Yan, et al.. (2022). Directed evolution of adeno-associated virus for efficient gene delivery to microglia. Nature Methods. 19(8). 976–985. 105 indexed citations
8.
Wan, Guobin, et al.. (2022). FECTS: A Facial Emotion Cognition and Training System for Chinese Children with Autism Spectrum Disorder. Computational Intelligence and Neuroscience. 2022. 1–21. 18 indexed citations
9.
Lin, Rui, Jingwen Liang, Ruiyu Wang, et al.. (2020). The Raphe Dopamine System Controls the Expression of Incentive Memory. Neuron. 106(3). 498–514.e8. 63 indexed citations
10.
Xiang, Jie, Xin Wang, Yuan Gao, et al.. (2020). Phosphodiesterase 4D Gene Modifies the Functional Network of Patients With Mild Cognitive Impairment and Alzheimer’s Disease. Frontiers in Genetics. 11. 890–890. 4 indexed citations
11.
Xiang, Jie, Jiayue Xue, Hao Guo, et al.. (2019). Graph-based network analysis of resting-state fMRI: test-retest reliability of binarized and weighted networks. Brain Imaging and Behavior. 14(5). 1361–1372. 18 indexed citations
12.
Wang, Bin, Peizhen Li, Dandan Li, et al.. (2018). Increased Functional Brain Network Efficiency During Audiovisual Temporal Asynchrony Integration Task in Aging. Frontiers in Aging Neuroscience. 10. 316–316. 21 indexed citations
13.
Rizak, Joshua D., Lichuan Yang, Shangchuan Yang, et al.. (2015). A quantitative approach to developing Parkinsonian monkeys (Macaca fascicularis) with intracerebroventricular 1-methyl-4-phenylpyridinium injections. Journal of Neuroscience Methods. 251. 99–107. 12 indexed citations
14.
Yan, Ting, Joshua D. Rizak, Jianhong Wang, et al.. (2015). Severe dopaminergic neuron loss in rhesus monkey brain impairs morphine-induced conditioned place preference. Frontiers in Behavioral Neuroscience. 9. 273–273. 6 indexed citations
15.
16.
Yan, Ting, et al.. (2013). Computational studies on polynitropurines as potential high energy density materials. Journal of Molecular Modeling. 19(6). 2235–2242. 5 indexed citations
17.
18.
Yan, Ting, Ruth K. Weir, Yolanda Peña‐Oliver, et al.. (2011). Performance Deficits of NK1 Receptor Knockout Mice in the 5-Choice Serial Reaction-Time Task: Effects of d-Amphetamine, Stress and Time of Day. PLoS ONE. 6(3). e17586–e17586. 48 indexed citations
19.
Fisher, Amy S., et al.. (2007). Disruption of noradrenergic transmission and the behavioural response to a novel environment in NK1R–/– mice. European Journal of Neuroscience. 25(4). 1195–1204. 32 indexed citations
20.
Jin, Zhi-Ping, Ting Yan, Yi-Zhong Fan, & Da-Ming Wei. (2006). The flat X-ray segment of GRB051221A: two component jet in short gamma-ray bursts. arXiv (Cornell University). 1 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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