Kai Yao

667 total citations · 1 hit paper
20 papers, 311 citations indexed

About

Kai Yao is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Cell Biology. According to data from OpenAlex, Kai Yao has authored 20 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Electrical and Electronic Engineering and 4 papers in Cell Biology. Recurrent topics in Kai Yao's work include Electric Motor Design and Analysis (5 papers), Magnetic Bearings and Levitation Dynamics (2 papers) and Cellular Mechanics and Interactions (2 papers). Kai Yao is often cited by papers focused on Electric Motor Design and Analysis (5 papers), Magnetic Bearings and Levitation Dynamics (2 papers) and Cellular Mechanics and Interactions (2 papers). Kai Yao collaborates with scholars based in China and United States. Kai Yao's co-authors include Yongfei Zhao, Hengbing Zu, Nash D. Rochman, Sean X. Sun, Jijun Zhao, Ling Wang, Bo Liu, Jiancheng Huang, Cliff Y. Yang and Hongyao Chen and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Cell Science.

In The Last Decade

Kai Yao

18 papers receiving 305 citations

Hit Papers

Cyclical palmitoylation r... 2024 2026 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cyclical palmitoylation regulates TLR9 signalling and systemic autoimmunity in mice
    2024 83 citations Kai Yao, Ling Wang et al. Nature Communications profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kai Yao 88 67 36 32 32 20 311
Jason Bini 87 1.0× 80 1.2× 23 0.6× 33 1.0× 22 0.7× 31 749
Jianyu Yang 311 3.5× 39 0.6× 43 1.2× 30 0.9× 43 1.3× 47 563
Zanyi Wu 232 2.6× 31 0.5× 28 0.8× 39 1.2× 23 0.7× 30 487
Qingnan Liang 252 2.9× 47 0.7× 35 1.0× 31 1.0× 30 0.9× 21 393
Masahiro Takayama 100 1.1× 53 0.8× 110 3.1× 21 0.7× 37 1.2× 49 519
Ting Zhu 105 1.2× 91 1.4× 36 1.0× 11 0.3× 24 0.8× 15 394
Md Abdul Kader Sagar 175 2.0× 57 0.9× 31 0.9× 107 3.3× 21 0.7× 19 426
Guoqian Li 170 1.9× 42 0.6× 39 1.1× 36 1.1× 6 0.2× 27 444
Yanhui Cai 190 2.2× 40 0.6× 103 2.9× 12 0.4× 42 1.3× 29 448
Hang Cao 159 1.8× 79 1.2× 21 0.6× 10 0.3× 36 1.1× 37 462

Countries citing papers authored by Kai Yao

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Yao. A scholar is included among the top collaborators of Kai Yao 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 Kai Yao. Kai Yao 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.
Yao, Kai, Ling Wang, Jiancheng Huang, et al.. (2024). Cyclical palmitoylation regulates TLR9 signalling and systemic autoimmunity in mice. Nature Communications. 15(1). 1–1. 83 indexed citations breakdown →
2.
Zhao, Xiuqin, Hengbing Zu, & Kai Yao. (2023). A case report of Andersen-Tawil syndrome misdiagnosed with myodystrophy. Frontiers in Neurology. 14. 1170693–1170693. 1 indexed citations
3.
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6.
Yao, Kai, et al.. (2022). Isolated transient vertigo due to TIA: challenge for diagnosis and therapy. Journal of Neurology. 270(2). 769–779. 5 indexed citations
7.
Deng, Kan, et al.. (2022). Prognostic value of thoracic tumor staging and volume parameters in non-small cell lung cancer patients with synchronous solitary bone metastasis. Journal of Thoracic Disease. 14(4). 1130–1138. 5 indexed citations
8.
Cheng, Yuan, et al.. (2022). Impact of Copper Matrix Materials on the Performance of Permanent Magnet Synchronous Motor. 2022 25th International Conference on Electrical Machines and Systems (ICEMS). 1–5. 2 indexed citations
9.
Zhang, Ying, Kai Yao, Yixuan Xu, et al.. (2021). DHCR24 Knockdown Lead to Hyperphosphorylation of Tau at Thr181, Thr231, Ser262, Ser396, and Ser422 Sites by Membrane Lipid-Raft Dependent PP2A Signaling in SH-SY5Y Cells. Neurochemical Research. 46(7). 1627–1640. 13 indexed citations
10.
Bai, Xiaojing, Yixuan Xu, Lijie Duan, et al.. (2021). DHCR24 Knock-Down Induced Tau Hyperphosphorylation at Thr181, Ser199, Thr231, Ser262, Ser396 Epitopes and Inhibition of Autophagy by Overactivation of GSK3β/mTOR Signaling. Frontiers in Aging Neuroscience. 13. 513605–513605. 25 indexed citations
11.
Yao, Kai, Nash D. Rochman, & Sean X. Sun. (2020). CTRL – a label-free artificial intelligence method for dynamic measurement of single-cell volume. Journal of Cell Science. 133(7). 10 indexed citations
12.
Zu, Hengbing, Xinying Liu, & Kai Yao. (2020). DHCR24 overexpression modulates microglia polarization and inflammatory response via Akt/GSK3β signaling in Aβ25–35 treated BV-2 cells. Life Sciences. 260. 118470–118470. 21 indexed citations
13.
Rochman, Nash D., et al.. (2020). Single Cell Volume Measurement Utilizing the Fluorescence Exclusion Method (FXm). BIO-PROTOCOL. 10(12). e3652–e3652. 4 indexed citations
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15.
Yao, Kai, Nash D. Rochman, & Sean X. Sun. (2019). Cell Type Classification and Unsupervised Morphological Phenotyping From Low-Resolution Images Using Deep Learning. Scientific Reports. 9(1). 13467–13467. 40 indexed citations
16.
Yao, Kai, Yongfei Zhao, & Hengbing Zu. (2019). <p>Melatonin receptor stimulation by agomelatine prevents A&beta;-induced tau phosphorylation and oxidative damage in PC12 cells</p>. Drug Design Development and Therapy. Volume 13. 387–396. 36 indexed citations
17.
Yao, Kai & Yongfei Zhao. (2018). Aging modulates microglia phenotypes in neuroinflammation of MPTP-PD mice. Experimental Gerontology. 111. 86–93. 38 indexed citations
18.
Yao, Kai, et al.. (2017). An E-capless AC-DC CRM Flyback LED Driver with Variable On-time Control. Journal of Power Electronics. 17(2). 315–322. 1 indexed citations
19.
Zhang, Qianqian, Ying Zhang, Kai Yao, et al.. (2016). Phantom-based experimental validation of fast virtual deployment of self-expandable stents for cerebral aneurysms. BioMedical Engineering OnLine. 15(S2). 125–125. 13 indexed citations
20.
Yao, Kai, et al.. (2015). Protective Effect of DHT on Apoptosis Induced by U18666A via PI3K/Akt Signaling Pathway in C6 Glial Cell Lines. Cellular and Molecular Neurobiology. 36(5). 801–809. 10 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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