Kun Dai

1.2k total citations
55 papers, 803 citations indexed

About

Kun Dai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Kun Dai has authored 55 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 7 papers in Immunology. Recurrent topics in Kun Dai's work include Neuropeptides and Animal Physiology (8 papers), MicroRNA in disease regulation (4 papers) and Receptor Mechanisms and Signaling (4 papers). Kun Dai is often cited by papers focused on Neuropeptides and Animal Physiology (8 papers), MicroRNA in disease regulation (4 papers) and Receptor Mechanisms and Signaling (4 papers). Kun Dai collaborates with scholars based in China, Japan and United States. Kun Dai's co-authors include Xingfeng Shao, Hongfei Wang, Yingying Wei, Feng Xu, Xiurong Zou, Shu Jiang, Yunshan Zhang, Zi Liang, Peipei Han and Min Zhu and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nano Letters.

In The Last Decade

Kun Dai

51 papers receiving 796 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Dai China 17 347 184 109 104 81 55 803
Xiaoshuang Zhang China 21 461 1.3× 167 0.9× 35 0.3× 98 0.9× 41 0.5× 84 1.2k
Zuquan Hu China 18 476 1.4× 125 0.7× 61 0.6× 49 0.5× 142 1.8× 68 1.1k
Liang Zhou China 21 760 2.2× 57 0.3× 98 0.9× 89 0.9× 35 0.4× 67 1.2k
Ioannis S. Pappas Greece 16 353 1.0× 80 0.4× 35 0.3× 73 0.7× 69 0.9× 37 882
Rita Sinigaglia‐Coimbra Brazil 17 539 1.6× 43 0.2× 69 0.6× 151 1.5× 187 2.3× 41 1.2k
Jingyi Liu China 19 770 2.2× 154 0.8× 44 0.4× 39 0.4× 115 1.4× 69 1.3k
Nikolay A. Spiridonov United States 16 704 2.0× 130 0.7× 33 0.3× 44 0.4× 106 1.3× 28 1.2k
Yuanyuan Liu China 18 687 2.0× 106 0.6× 66 0.6× 28 0.3× 32 0.4× 60 943
Huaqun Chen China 19 698 2.0× 62 0.3× 96 0.9× 119 1.1× 171 2.1× 38 1.2k
Yuyang Sun United States 12 358 1.0× 99 0.5× 74 0.7× 200 1.9× 23 0.3× 29 847

Countries citing papers authored by Kun Dai

Since Specialization
Citations

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

Fields of papers citing papers by Kun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Dai. A scholar is included among the top collaborators of Kun 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 Kun Dai. Kun 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.
Dai, Kun, et al.. (2025). Unveiling BID: a key biomarker in apoptosis post-intracerebral hemorrhage. Frontiers in Neurology. 16. 1533558–1533558. 1 indexed citations
2.
3.
Dai, Kun, et al.. (2024). Guiding Transient Peptide Assemblies with Structural Elements Embedded in Abiotic Phosphate Fuels. Angewandte Chemie International Edition. 63(28). e202404360–e202404360. 12 indexed citations
4.
Dai, Kun, Yang Xu, Yang Yang, et al.. (2023). Edge Length-Programmed Single-Stranded RNA Origami for Predictive Innate Immune Activation and Therapy. Journal of the American Chemical Society. 145(31). 17112–17124. 7 indexed citations
5.
Dai, Kun, Gong Chen, Yang Xu, et al.. (2023). Single-Stranded RNA Origami-Based Epigenetic Immunomodulation. Nano Letters. 23(15). 7188–7196. 6 indexed citations
6.
Dai, Kun, et al.. (2023). APE1 regulates mitochondrial DNA damage repair after experimental subarachnoid haemorrhage in vivo and in vitro. Stroke and Vascular Neurology. 9(3). 230–242. 7 indexed citations
7.
Zhang, Xing, Yunshan Zhang, Jun Pan, et al.. (2021). Proteomic analysis of the exosomes secreted from Ctenopharyngodon idellus kidney cells infected with grass carp reovirus reveals their involvement in the cellular responses to viral infection. Fish Physiology and Biochemistry. 47(4). 857–867. 11 indexed citations
8.
Dai, Kun, Hong Wu, Qingge Wang, et al.. (2021). β-Ti Alloys for Orthopedic and Dental Applications: A Review of Progress on Improvement of Properties through Surface Modification. Coatings. 11(12). 1446–1446. 39 indexed citations
9.
Zhang, Yunshan, Xing Zhang, Kun Dai, et al.. (2021). Bombyx mori Akirin hijacks a viral peptide vSP27 encoded by BmCPV circRNA and activates the ROS-NF-κB pathway against viral infection. International Journal of Biological Macromolecules. 194. 223–232. 32 indexed citations
10.
Yao, Zhanxin, Kun Dai, Ge Meng, et al.. (2021). Low dietary quercetin intake by food frequency questionnaire analysis is not associated with hypertension occurrence. Clinical Nutrition. 40(6). 3748–3753. 5 indexed citations
11.
Zhang, Yunshan, Kun Dai, Zi Liang, et al.. (2020). circEgg regulates histone H3K9me3 by sponging bmo-miR-3391–5p and encoding circEgg-P122 protein in the silkworm, Bombyx mori. Insect Biochemistry and Molecular Biology. 124. 103430–103430. 21 indexed citations
12.
Wu, Qiyun, et al.. (2020). Solar light induces the release of acetylcholine from skin keratinocytes affecting melanogenesis. The FASEB Journal. 34(7). 8941–8958. 18 indexed citations
13.
Zhang, Xing, Yunshan Zhang, Kun Dai, et al.. (2020). N6-Methyladenosine Level in Silkworm Midgut/Ovary Cell Line Is Associated With Bombyx mori Nucleopolyhedrovirus Infection. Frontiers in Microbiology. 10. 2988–2988. 27 indexed citations
14.
Li, Zhenbiao, Xingfeng Shao, Yingying Wei, et al.. (2020). Transcriptome analysis of Botrytis cinerea in response to tea tree oil and its two characteristic components. Applied Microbiology and Biotechnology. 104(5). 2163–2178. 47 indexed citations
15.
Hirabayashi, Kazutaka, Masaaki Tanaka, Akira Imai, et al.. (2019). Development of a Novel Model of Central Retinal Vascular Occlusion and the Therapeutic Potential of the Adrenomedullin–Receptor Activity–Modifying Protein 2 System. American Journal Of Pathology. 189(2). 449–466. 16 indexed citations
16.
Zhang, Xing, Zi Liang, Yunshan Zhang, et al.. (2019). Comprehensive analysis of long non-coding RNAs expression pattern in the pathogenesis of pulmonary tuberculosis. Genomics. 112(2). 1970–1977. 15 indexed citations
17.
Kamiyoshi, Akiko, Megumu Tanaka, Takayuki Sakurai, et al.. (2018). RAMP3 deficiency enhances postmenopausal obesity and metabolic disorders. Peptides. 110. 10–18. 13 indexed citations
18.
Imai, Akira, Yuichi Toriyama, Yasuhiro Iesato, et al.. (2017). Adrenomedullin Suppresses Vascular Endothelial Growth Factor–Induced Vascular Hyperpermeability and Inflammation in Retinopathy. American Journal Of Pathology. 187(5). 999–1015. 26 indexed citations
19.
Dai, Kun, Shanhui Liao, Jiahai Zhang, Xuecheng Zhang, & Xiaoming Tu. (2011). Solution Structure of Tensin2 SH2 Domain and Its Phosphotyrosine-Independent Interaction with DLC-1. PLoS ONE. 6(7). e21965–e21965. 15 indexed citations
20.

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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