Kai Zhao

4.7k total citations · 2 hit papers
94 papers, 3.5k citations indexed

About

Kai Zhao is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Kai Zhao has authored 94 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 34 papers in Immunology and 23 papers in Hematology. Recurrent topics in Kai Zhao's work include Inflammasome and immune disorders (21 papers), Hematopoietic Stem Cell Transplantation (13 papers) and Immune Cell Function and Interaction (11 papers). Kai Zhao is often cited by papers focused on Inflammasome and immune disorders (21 papers), Hematopoietic Stem Cell Transplantation (13 papers) and Immune Cell Function and Interaction (11 papers). Kai Zhao collaborates with scholars based in China, United States and United Kingdom. Kai Zhao's co-authors include Xuetao Cao, Qicong Shen, Dezhi Zhao, Yiqi Liu, Nan Li, Ben Lü, Yan Gu, Xia Li, Qian Zhang and Chunmei Wang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Kai Zhao

92 papers receiving 3.5k citations

Hit Papers

Tet2 is required to resolve inflammation by recruiting Hd... 2015 2026 2018 2022 2015 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Zhao China 31 1.9k 1.1k 521 428 336 94 3.5k
Chunyan Ji China 33 1.9k 1.0× 938 0.9× 784 1.5× 624 1.5× 734 2.2× 173 3.5k
Xiaoyun Fu United States 36 1.4k 0.7× 1.3k 1.2× 383 0.7× 627 1.5× 258 0.8× 141 4.5k
Melpo Christofidou‐Solomidou United States 45 2.1k 1.1× 779 0.7× 624 1.2× 457 1.1× 508 1.5× 110 5.3k
Tao Yi China 36 1.9k 1.0× 868 0.8× 831 1.6× 265 0.6× 673 2.0× 206 4.1k
Hamed Mohammadi Iran 35 1.3k 0.7× 1.4k 1.3× 569 1.1× 202 0.5× 733 2.2× 130 3.9k
Sheng Wei United States 33 1.7k 0.9× 1.4k 1.3× 695 1.3× 390 0.9× 542 1.6× 96 3.4k
Hong Hong China 27 1.1k 0.5× 903 0.9× 365 0.7× 177 0.4× 289 0.9× 96 2.6k
Majid Ahmadi Iran 40 1.3k 0.7× 1.3k 1.2× 479 0.9× 131 0.3× 454 1.4× 103 4.2k
Kazuo Yudoh Japan 38 1.4k 0.7× 697 0.7× 516 1.0× 203 0.5× 532 1.6× 145 4.4k
Xi Yuan Sweden 36 1.3k 0.7× 639 0.6× 346 0.7× 294 0.7× 242 0.7× 100 3.1k

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

20 of 20 papers shown
1.
Luo, Ruiheng, Mingliang Ma, Dan Wang, et al.. (2025). GSK461364 Inhibits NLRP3 Inflammasome by Targeting NEK7 Phosphorylation. Advanced Science. 12(44). e04816–e04816.
2.
Wang, Cheng, Ge Gao, Ying Yang, et al.. (2025). Deciphering the value of anoikis-related genes in prognosis, immune microenvironment, and drug sensitivity of laryngeal squamous cell carcinoma. Pathology - Research and Practice. 268. 155849–155849. 3 indexed citations
5.
Jiang, Li, et al.. (2024). MYELOID-DERIVED TLR4-TRIF SIGNALING PATHWAY MEDIATES OXIDATIVE STRESS IN LPS/D-GALN-INDUCED ACUTE LIVER FAILURE. Shock. 62(4). 582–587. 2 indexed citations
6.
Chen, Yuan, Ruiheng Luo, Jing Li, et al.. (2022). Intrinsic Radical Species Scavenging Activities of Tea Polyphenols Nanoparticles Block Pyroptosis in Endotoxin-Induced Sepsis. ACS Nano. 16(2). 2429–2441. 138 indexed citations breakdown →
7.
Tang, Yiting, Jianfeng Wu, Kai Zhao, et al.. (2022). Impaired interferon-γ signaling promotes the development of silicosis. iScience. 25(7). 104647–104647. 12 indexed citations
8.
Zhu, Shengyun, Jing Liang, Feng Zhu, et al.. (2021). The effects of myeloablative or non-myeloablative total body irradiations on intestinal tract in mice. Bioscience Reports. 41(3). 9 indexed citations
9.
Zhang, Lei, et al.. (2020). Ameliorative effects of the traditional Chinese medicine formula Qing-Mai-Yin on arteriosclerosis obliterans in a rabbit model. Pharmaceutical Biology. 58(1). 785–795. 7 indexed citations
10.
Meng, Ran, Lan Gu, Yanyan Lu, et al.. (2019). High mobility group box 1 enables bacterial lipids to trigger receptor-interacting protein kinase 3 (RIPK3)-mediated necroptosis and apoptosis in mice. Journal of Biological Chemistry. 294(22). 8872–8884. 12 indexed citations
11.
Zhao, Kai, Jing Bai, Qingyi Zeng, et al.. (2017). Efficient wastewater treatment and simultaneously electricity production using a photocatalytic fuel cell based on the radical chain reactions initiated by dual photoelectrodes. Journal of Hazardous Materials. 337. 47–54. 38 indexed citations
12.
Zhao, Kai, Yu Tian, Dongmei Zhao, et al.. (2016). IL-22 promoted CD3 + T cell infiltration by IL-22R induced STAT3 phosphorylation in murine acute graft versus host disease target organs after allogeneic bone marrow transplantation. International Immunopharmacology. 39. 383–388. 8 indexed citations
13.
Zhao, Kai, Lingling Yin, Dongmei Zhao, et al.. (2015). Dynamic regulation of effector IFN-γ-producing and IL-17-producing T cell subsets in the development of acute graft-versus-host disease. Molecular Medicine Reports. 13(2). 1395–1403. 16 indexed citations
14.
Zhang, Qian, Kai Zhao, Qicong Shen, et al.. (2015). Tet2 is required to resolve inflammation by recruiting Hdac2 to specifically repress IL-6. Nature. 525(7569). 389–393. 609 indexed citations breakdown →
15.
Zhan, Xiaoping, Yuxuan Xin, Kai Zhao, et al.. (2015). Synthesis, characterization and molecular dynamics simulation of the polyacrylates membranes. e-Polymers. 16(1). 83–89. 4 indexed citations
16.
Zhao, Kai, Lingling Yin, Chong Chen, et al.. (2014). Interleukin-22 Aggravates Murine Acute Graft-Versus-Host Disease by Expanding Effector T Cell and Reducing Regulatory T Cell. Journal of Interferon & Cytokine Research. 34(9). 707–715. 28 indexed citations
17.
Yao, Zhenyu, Qian Zhang, Xia Li, et al.. (2014). Death Domain-associated Protein 6 (Daxx) Selectively Represses IL-6 Transcription through Histone Deacetylase 1 (HDAC1)-mediated Histone Deacetylation in Macrophages. Journal of Biological Chemistry. 289(13). 9372–9379. 27 indexed citations
18.
Chen, Wei, Zhiling Yan, Hai Cheng, et al.. (2014). Co-transplantation of Hematopoietic Stem Cells and Cxcr4 Gene-Transduced Mesenchymal Stem Cells Promotes Hematopoiesis. Cell Biochemistry and Biophysics. 71(3). 1579–1587. 11 indexed citations
19.
Li, Bingyu, Xinhao Shi, Wei Gu, et al.. (2013). Graphene based electrochemical biosensor for label-free measurement of the activity and inhibition of protein tyrosine kinase. The Analyst. 138(23). 7212–7212. 24 indexed citations
20.
Wu, Qing‐Yun, Feng Li, Jiang Cao, et al.. (2012). Amino acid residue E543 in JAK2 C618R is a potential therapeutic target for myeloproliferative disorders caused by JAK2 C618R mutation. Archives of Biochemistry and Biophysics. 528(1). 57–66. 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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