Kai Zhao

3.9k total citations
78 papers, 3.2k citations indexed

About

Kai Zhao is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Kai Zhao has authored 78 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 21 papers in Materials Chemistry and 20 papers in Molecular Biology. Recurrent topics in Kai Zhao's work include Perovskite Materials and Applications (11 papers), 2D Materials and Applications (11 papers) and interferon and immune responses (7 papers). Kai Zhao is often cited by papers focused on Perovskite Materials and Applications (11 papers), 2D Materials and Applications (11 papers) and interferon and immune responses (7 papers). Kai Zhao collaborates with scholars based in China, United States and Germany. Kai Zhao's co-authors include Chengjiang Gao, Taotao Wei, Chunying Chen, Peng Wang, Lei Zhang, Yuezhong Xian, Zhongming Wei, Wei Zhao, Ying Liu and Yanling Ding and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Kai Zhao

73 papers receiving 3.2k citations

Peers

Kai Zhao

EEE

IMMUN

Chenhui Zhang China

Hongjian Liu China

Longzhen Zhang China

Ge Shi China

Zhenxi Zhang China

Zhijun Liu China

Yimeng Li China

Zhi Yang China

Jianli Wang China

Chenhui Zhang China

Kai Zhao

1.6k ×1.3

616 ×0.6

1.2k ×1.4

EEE

603 ×0.8

908 ×1.3

IMMUN

Citations per year, relative to Kai Zhao Kai Zhao (= 1×) peers Chenhui Zhang

Countries citing papers authored by Kai Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Kai Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Zhao. A scholar is included among the top collaborators of Kai Zhao 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 Zhao. Kai Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lu, Liwei, et al.. (2025). IQGAP1: cross-disease target via receptor-pathway networks. Frontiers in Oncology. 15. 1632060–1632060.

Zhao, Kai, et al.. (2025). Multi-objective optimization design of heat exchanger networks with simultaneous evaluation of economic performance and complexity via a novel two-step optimization approach. Computers & Chemical Engineering. 200. 109212–109212. 2 indexed citations

Yang, Zhe, Jiandong Zhao, Cheng Wang, et al.. (2025). Integrative analysis of cuproptosis-related lncRNAs for prognostic risk assessment and tumor immune microenvironment evaluation in laryngeal squamous cell carcinoma. International Journal of Biological Macromolecules. 306(Pt 4). 141846–141846.

Yuan, Yuan, et al.. (2024). Secondary Metabolites from the Mangroves-Derived Streptomyces sp. Scsio 41396 and Their Anti-Enzyme Activity. Chemistry of Natural Compounds. 60(3). 523–526.

Liu, Qinghua, et al.. (2024). Multi‐omics analysis of pyroptosis‐related genes for prognosis and immune landscape in head and neck cancer. Clinical and Translational Medicine. 14(12). e70144–e70144.

Zhao, Kai, Pan Wang, Ziqi Zhou, et al.. (2024). β‐Ga₂O₃ Nanoribbon with Ultra‐High Solar‐Blind Ultraviolet Polarization Ratio. Advanced Materials. 36(46). e2406559–e2406559. 24 indexed citations

Zhou, Ziqi, Tao Shen, Pan Wang, et al.. (2023). Low symmetric sub-wavelength array enhanced lensless polarization-sensitivity photodetector of germanium selenium. Science Bulletin. 68(2). 173–179. 42 indexed citations

Wanghe, Kunyuan, Shahid Ahmad, Fei Tian, et al.. (2023). Spatially explicit estimation of freshwater fish stock biomass with limited data: A case study of an endangered endemic fish on the Tibetan Plateau, China. The Science of The Total Environment. 912. 168717–168717. 4 indexed citations

Ran, Wenhao, Zhihui Ren, Pan Wang, et al.. (2021). Integrated polarization-sensitive amplification system for digital information transmission. Nature Communications. 12(1). 6476–6476. 113 indexed citations

10.

Bao, Qi, Chong Li, Chong‐Feng Xu, et al.. (2017). Porcine enterocyte protein Btnl5 negatively regulates NF-kappa B pathway by interfering p65 nuclear translocation. Gene. 646. 47–55. 6 indexed citations

11.

Zhi, Liqiang, et al.. (2017). miR-34c-3p acts as a tumor suppressor gene in osteosarcoma by targeting MARCKS. Molecular Medicine Reports. 15(3). 1204–1210. 18 indexed citations

12.

Liu, Bingyu, Meng Zhang, Honghai Zhang, et al.. (2016). The ubiquitin E3 ligase TRIM31 promotes aggregation and activation of the signaling adaptor MAVS through Lys63-linked polyubiquitination. Nature Immunology. 18(2). 214–224. 255 indexed citations

13.

Song, Guanhua, Bingyu Liu, Zhihui Li, et al.. (2016). E3 ubiquitin ligase RNF128 promotes innate antiviral immunity through K63-linked ubiquitination of TBK1. Nature Immunology. 17(12). 1342–1351. 150 indexed citations

14.

Wang, Peng, Wei Zhao, Kai Zhao, Lei Zhang, & Chengjiang Gao. (2015). TRIM26 Negatively Regulates Interferon-β Production and Antiviral Response through Polyubiquitination and Degradation of Nuclear IRF3. PLoS Pathogens. 11(3). e1004726–e1004726. 154 indexed citations

15.

Zhao, Lijing, Xingyu Zhao, Kai Zhao, et al.. (2014). The α-tocopherol derivative ESeroS-GS induces cell death and inhibits cell motility of breast cancer cells through the regulation of energy metabolism. European Journal of Pharmacology. 745. 98–107. 17 indexed citations

16.

Pan, Jianlin, et al.. (2013). Response of periphyton to nutrient level and relationships between periphyton and decay degree of Potamogeton crispus. 33(24). 7661–7666. 1 indexed citations

17.

Zhang, Meng, Lijuan Wang, Xueying Zhao, et al.. (2012). TRAF-interacting protein (TRIP) negatively regulates IFN-β production and antiviral response by promoting proteasomal degradation of TANK-binding kinase 1. The Journal of Experimental Medicine. 209(10). 1703–1711. 113 indexed citations

18.

Zhou, Hejiang, Kai Zhao, Wei Li, et al.. (2012). The interactions between pristine graphene and macrophages and the production of cytokines/chemokines via TLR- and NF-κB-related signaling pathways. Biomaterials. 33(29). 6933–6942. 156 indexed citations

19.

Duan, Wenjuan, Kai Zhao, Lijing Zhao, et al.. (2011). ESeroS-GS modulates lipopolysaccharide-induced macrophage activation by impairing the assembly of TLR-4 complexes in lipid rafts. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1813(5). 772–783. 14 indexed citations

20.

Wang, Liming, Ying Liu, Wei Li, et al.. (2010). Selective Targeting of Gold Nanorods at the Mitochondria of Cancer Cells: Implications for Cancer Therapy. Nano Letters. 11(2). 772–780. 436 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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