Yan Dai

654 total citations
43 papers, 400 citations indexed

About

Yan Dai is a scholar working on Molecular Biology, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yan Dai has authored 43 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cognitive Neuroscience and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yan Dai's work include Functional Brain Connectivity Studies (7 papers), Attention Deficit Hyperactivity Disorder (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Yan Dai is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Attention Deficit Hyperactivity Disorder (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Yan Dai collaborates with scholars based in China, United States and Pakistan. Yan Dai's co-authors include Dale A. Redmer, Lawrence P. Reynolds, D. Stephen Charnock‐Jones, S. K. Smith, R. M. Moor, Zhiyun Yang, Long Qian, Shu Su, Jidong Chen and Jiao Guo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Yan Dai

38 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Dai China 10 137 62 59 57 51 43 400
Flora Sánchez-Jiménez Spain 11 159 1.2× 49 0.8× 43 0.7× 94 1.6× 25 0.5× 16 658
Mirjana Nacka-Aleksić Serbia 14 87 0.6× 54 0.9× 81 1.4× 14 0.2× 19 0.4× 41 556
Małgorzata Młynarczyk United States 11 53 0.4× 190 3.1× 119 2.0× 19 0.3× 63 1.2× 34 426
Fiona A. Wilson United States 10 186 1.4× 69 1.1× 25 0.4× 12 0.2× 19 0.4× 18 515
P C Owens Australia 12 155 1.1× 207 3.3× 105 1.8× 33 0.6× 37 0.7× 15 684
Camilla Dorian Australia 9 49 0.4× 29 0.5× 58 1.0× 8 0.1× 68 1.3× 11 429
Junyu Zhai China 13 135 1.0× 53 0.9× 159 2.7× 58 1.0× 11 0.2× 39 538
Xiaojie Song China 16 201 1.5× 108 1.7× 30 0.5× 73 1.3× 29 0.6× 52 635
Maria L.C. Ribeiro Argentina 18 109 0.8× 136 2.2× 130 2.2× 12 0.2× 22 0.4× 43 743
Marie‐Pierre Belot France 10 159 1.2× 64 1.0× 11 0.2× 22 0.4× 15 0.3× 17 531

Countries citing papers authored by Yan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Dai. A scholar is included among the top collaborators of Yan Dai 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 Yan Dai. Yan Dai 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.
Li, Yufen, Huan Wang, Yan Dai, et al.. (2025). Brain iron deficiency in children with attention deficit hyperactivity disorder using iterAtive magnetic suscePtibility sources sepARaTion (APART-QSM). Quantitative Imaging in Medicine and Surgery. 15(7). 5980–5990.
2.
Liu, Bingyao, Yan Dai, Jiming Lv, et al.. (2025). PD-1/PD-L1 inhibitor-induced hyponatremia: a real-world pharmacovigilance analysis using FAERS database. Frontiers in Immunology. 16. 1561942–1561942. 1 indexed citations
3.
Dai, Yan, et al.. (2024). Quantification of myelination in Children with Attention-deficit/hyperactivity Disorder: A Comparative Assessment with Synthetic MRI and DTI. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
4.
Zhang, Jing, et al.. (2024). White-light driven sterilization based on chlorine-doped cuprous oxide for antibacterial food packaging. Chemical Engineering Journal. 500. 156867–156867. 4 indexed citations
5.
Sun, Yan, Shujun Sun, Pu Chen, et al.. (2024). Maresins as novel anti-inflammatory actors and putative therapeutic targets in sepsis. Pharmacological Research. 202. 107113–107113. 5 indexed citations
6.
Dai, Yan, Zi Yan, Qin Zhou, et al.. (2023). Quantification of myelination in children with attention-deficit/hyperactivity disorder: a comparative assessment with synthetic MRI and DTI. European Child & Adolescent Psychiatry. 33(6). 1935–1944. 6 indexed citations
7.
Lin, Yanfeng, Yan Dai, Shuang Zhang, et al.. (2023). Application of nanopore adaptive sequencing in pathogen detection of a patient with Chlamydia psittaci infection. Frontiers in Cellular and Infection Microbiology. 13. 1064317–1064317. 8 indexed citations
8.
Zhang, Bei, Yunyun Zhang, Yan Dai, et al.. (2023). A Type I/Type III PKS Hybrid Generates Cinnamomycin A–D. Organic Letters. 25(15). 2560–2564. 6 indexed citations
9.
Wang, Miaomiao, Shu Su, Yan Dai, et al.. (2023). Assessment of the glymphatic function in children with attention-deficit/hyperactivity disorder. European Radiology. 34(3). 1444–1452. 22 indexed citations
10.
Dai, Yan, Xiu‐Bo Sang, & Wenpei Bai. (2023). N-acetylcysteine and Hydroxychloroquine Ameliorate ADMA-Induced Fetal Growth Restriction in Mice via Regulating Oxidative Stress and Autophagy. Reproductive Sciences. 31(3). 779–790. 3 indexed citations
11.
Su, Shu, Yan Dai, Qin Zhou, et al.. (2023). Altered neurovascular coupling in the children with attention-deficit/hyperactivity disorder: a comprehensive fMRI analysis. European Child & Adolescent Psychiatry. 33(4). 1081–1091. 9 indexed citations
12.
Dai, Yan, Xın Zhang, Qi Chen, et al.. (2023). Dynamic physiological and transcriptomic changes reveal memory effects of salt stress in maize. BMC Genomics. 24(1). 726–726. 5 indexed citations
13.
Dai, Yan, et al.. (2021). The Effect and Mechanism of Asymmetric Dimethylarginine Regulating Trophoblastic Autophagy on Fetal Growth Restriction. Reproductive Sciences. 28(7). 2012–2022. 5 indexed citations
14.
15.
Zhang, Yunyun, et al.. (2020). Efficient Biocatalytic Preparation of Rebaudioside KA: Highly Selective Glycosylation Coupled with UDPG Regeneration. Scientific Reports. 10(1). 6230–6230. 22 indexed citations
16.
17.
Chen, Jidong, Jiao Guo, Yan Dai, et al.. (2017). The Long Noncoding RNA LnRPT Is Regulated by PDGF-BB and Modulates the Proliferation of Pulmonary Artery Smooth Muscle Cells. American Journal of Respiratory Cell and Molecular Biology. 58(2). 181–193. 48 indexed citations
18.
Zhao, Hongping, Yan Dai, & Bingren Xiang. (2016). Discontinued cardiovascular drugs in 2015. Expert Opinion on Investigational Drugs. 25(9). 1093–1101. 3 indexed citations
19.
Guo, Xiaogang, Xu Liu, Chenxu Dai, et al.. (2015). Clinical characteristics in patients with typical atrial flutter combined focal atrial tachycardia. 19(3). 195–198.
20.
Dai, Yan. (2010). An experimental research on the index of air metabolism testing the energy consumption in walking. 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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