Kui Zhai

2.0k total citations
30 papers, 833 citations indexed

About

Kui Zhai is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Kui Zhai has authored 30 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Cancer Research. Recurrent topics in Kui Zhai's work include Receptor Mechanisms and Signaling (5 papers), Phosphodiesterase function and regulation (5 papers) and Nitric Oxide and Endothelin Effects (4 papers). Kui Zhai is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Phosphodiesterase function and regulation (5 papers) and Nitric Oxide and Endothelin Effects (4 papers). Kui Zhai collaborates with scholars based in China, United States and France. Kui Zhai's co-authors include Zhi Huang, Shideng Bao, Xiaoguang Fang, Jeremy N. Rich, Qiulian Wu, Weiwei Tao, Wenchao Zhou, Jennifer S. Yu, Qian Huang and Aili Zhang and has published in prestigious journals such as Nature Communications, The EMBO Journal and PLoS ONE.

In The Last Decade

Kui Zhai

29 papers receiving 827 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kui Zhai China 16 462 192 172 163 162 30 833
Xiudong Guan China 16 295 0.6× 198 1.0× 183 1.1× 168 1.0× 151 0.9× 35 801
Lizhi Pang United States 17 401 0.9× 118 0.6× 311 1.8× 200 1.2× 160 1.0× 30 869
Hee-Young Jeon South Korea 11 409 0.9× 173 0.9× 134 0.8× 161 1.0× 181 1.1× 14 679
Marina Trombetta-Lima Brazil 17 389 0.8× 73 0.4× 131 0.8× 78 0.5× 121 0.7× 38 824
Nanxiang Xiong China 16 475 1.0× 117 0.6× 75 0.4× 118 0.7× 326 2.0× 65 887
Yiwen Jiang China 17 374 0.8× 175 0.9× 112 0.7× 198 1.2× 202 1.2× 39 702
Qingnan Zhao China 14 284 0.6× 209 1.1× 194 1.1× 65 0.4× 103 0.6× 22 624
Kartik Angara United States 14 352 0.8× 136 0.7× 149 0.9× 125 0.8× 235 1.5× 29 627
Braden C. McFarland United States 18 577 1.2× 358 1.9× 323 1.9× 179 1.1× 208 1.3× 27 1.2k
Mirna Tenan Switzerland 13 471 1.0× 128 0.7× 175 1.0× 96 0.6× 152 0.9× 17 848

Countries citing papers authored by Kui Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Kui Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kui Zhai

This figure shows the co-authorship network connecting the top 25 collaborators of Kui Zhai. A scholar is included among the top collaborators of Kui Zhai 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 Kui Zhai. Kui Zhai 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.
Mikolajewicz, Nicholas, Kui Zhai, Chitra Venugopal, Sheila K. Singh, & Jason Moffat. (2025). TMIC-15. Reactive Oligodendrocytes Promote Glioblastoma Progression via CCL5/CCR5-Mediated Glioma Stem Cell Maintenance. Neuro-Oncology. 27(Supplement_5). v446–v446.
2.
Kieliszek, Agata, Deepak Upreti, Darin Bloemberg, et al.. (2023). Intratumoral Delivery of Chimeric Antigen Receptor T Cells Targeting CD133 Effectively Treats Brain Metastases. Clinical Cancer Research. 30(3). 554–563. 15 indexed citations
3.
Huang, Qian, Liping Liu, Dakai Xiao, et al.. (2023). CD44+ lung cancer stem cell-derived pericyte-like cells cause brain metastases through GPR124-enhanced trans-endothelial migration. Cancer Cell. 41(9). 1621–1636.e8. 42 indexed citations
4.
Yang, Zhiguang, Jin Meng, Kui Zhai, et al.. (2022). ERp44 is required for endocardial cushion development by regulating VEGFA secretion in myocardium. Cell Proliferation. 55(3). e13179–e13179. 5 indexed citations
5.
Zhang, Aili, Zhi Huang, Weiwei Tao, et al.. (2022). USP33 deubiquitinates and stabilizes HIF‐2alpha to promote hypoxia response in glioma stem cells. The EMBO Journal. 41(7). e109187–e109187. 35 indexed citations
6.
Zhu, Xiaofei, Kui Zhai, Yue Mi, & Guangju Ji. (2017). Expression and function of phosphodiesterases (PDEs) in the rat urinary bladder. BMC Urology. 17(1). 54–54. 4 indexed citations
7.
Zhou, Wenchao, Cong Chen, Yu Shi, et al.. (2017). Targeting Glioma Stem Cell-Derived Pericytes Disrupts the Blood-Tumor Barrier and Improves Chemotherapeutic Efficacy. Cell stem cell. 21(5). 591–603.e4. 160 indexed citations
8.
Zheng, Ji, Kui Zhai, Yingxiao Chen, et al.. (2016). Nitric oxide mediates stretch-induced Ca2+ oscillation in smooth muscle. Journal of Cell Science. 129(12). 2430–2437. 12 indexed citations
9.
Cao, Henghua, et al.. (2016). Efficient Differentiation of TBX18 + /WT1 + Epicardial-Like Cells from Human Pluripotent Stem Cells Using Small Molecular Compounds. Stem Cells and Development. 26(7). 528–540. 37 indexed citations
10.
Wang, Yan, Junxia Li, Guangju Ji, et al.. (2016). The Involvement of Ca2+ Signal Pathways in Distal Colonic Myocytes in a Rat Model of Dextran Sulfate Sodium-induced Colitis. Chinese Medical Journal. 129(10). 1185–1192. 8 indexed citations
11.
Zhai, Kui, Lei Gu, Zhiguang Yang, et al.. (2016). RNA-binding protein CUGBP1 regulates insulin secretion via activation of phosphodiesterase 3B in mice. Diabetologia. 59(9). 1959–1967. 17 indexed citations
12.
Lü, Xue, Li Tan, Xiaocao Liu, et al.. (2015). Involvement of Large-Conductance Ca2+-Activated K+ Channels in Chloroquine-Induced Force Alterations in Pre-Contracted Airway Smooth Muscle. PLoS ONE. 10(3). e0121566–e0121566. 8 indexed citations
13.
Dai, Jiang, Han Zhang, Yingxiao Chen, et al.. (2015). Characterization of Ca2+ handling proteins and contractile proteins in patients with lone atrial fibrillation. International Journal of Cardiology. 202. 749–751. 5 indexed citations
14.
Yin, Yin, et al.. (2014). Nitric oxide enhances extracellular ATP induced Ca2+ oscillation in HeLa cells. Archives of Biochemistry and Biophysics. 565. 68–75. 2 indexed citations
15.
Manoury, Boris, Kui Zhai, Philippe Matéo, et al.. (2014). Alteration of vascular reactivity in heart failure: role of phosphodiesterases 3 and 4. British Journal of Pharmacology. 171(23). 5361–5375. 20 indexed citations
16.
Zhang, Ting, Weiwei Chen, Kui Zhai, et al.. (2014). Non-Selective Cation Channels Mediate Chloroquine-Induced Relaxation in Precontracted Mouse Airway Smooth Muscle. PLoS ONE. 9(7). e101578–e101578. 30 indexed citations
17.
Zhai, Kui, Yan Chang, Bin Wei, et al.. (2014). Phosphodiesterase types 3 and 4 regulate the phasic contraction of neonatal rat bladder smooth myocytes via distinct mechanisms. Cellular Signalling. 26(5). 1001–1010. 10 indexed citations
18.
19.
Zhai, Kui, Li Hu, Juan Chen, Caiyun Fu, & Qiang Chen. (2008). Chrysin Induces Hyperalgesia via the GABAAReceptor in Mice. Planta Medica. 74(10). 1229–1234. 16 indexed citations
20.
Fu, Caiyun, Ziqing Kong, Kairong Wang, et al.. (2005). Effects and mechanisms of supraspinal administration of rat/mouse hemokinin-1, a mammalian tachykinin peptide, on nociception in mice. Brain Research. 1056(1). 51–58. 23 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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