Kai Miao

3.0k total citations · 1 hit paper
70 papers, 1.2k citations indexed

About

Kai Miao is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Kai Miao has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 11 papers in Immunology and 10 papers in Cancer Research. Recurrent topics in Kai Miao's work include Reproductive Biology and Fertility (8 papers), Epigenetics and DNA Methylation (8 papers) and Reproductive System and Pregnancy (7 papers). Kai Miao is often cited by papers focused on Reproductive Biology and Fertility (8 papers), Epigenetics and DNA Methylation (8 papers) and Reproductive System and Pregnancy (7 papers). Kai Miao collaborates with scholars based in China, Macao and Japan. Kai Miao's co-authors include Chu‐Xia Deng, Heng Sun, Aiping Zhang, Lei An, Jianhui Tian, Zhonghong Wu, Kun Tan, Linlin Sui, Zhenni Zhang and Xiaoling Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kai Miao

61 papers receiving 1.2k citations

Hit Papers

Tumor heterogeneity reshapes the tumor microenvironment t... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Miao China 22 598 216 187 187 184 70 1.2k
Sakari Joenväärä Finland 21 744 1.2× 202 0.9× 169 0.9× 178 1.0× 83 0.5× 60 1.6k
Kin Lam Fok Hong Kong 22 605 1.0× 121 0.6× 91 0.5× 302 1.6× 184 1.0× 51 1.5k
Jian Ruan China 24 791 1.3× 404 1.9× 137 0.7× 125 0.7× 74 0.4× 94 1.5k
Riccardo Vago Italy 22 1.1k 1.9× 367 1.7× 99 0.5× 438 2.3× 107 0.6× 72 2.0k
Lei Wei China 21 785 1.3× 313 1.4× 274 1.5× 465 2.5× 61 0.3× 67 2.0k
Bo Gong China 20 663 1.1× 185 0.9× 91 0.5× 59 0.3× 101 0.5× 113 1.5k
Marie C. LaRegina United States 14 418 0.7× 140 0.6× 244 1.3× 214 1.1× 62 0.3× 30 1.3k
André Schmidt Germany 17 494 0.8× 149 0.7× 257 1.4× 154 0.8× 100 0.5× 33 1.4k
Aurelian Radu United States 18 1.2k 2.0× 122 0.6× 169 0.9× 129 0.7× 81 0.4× 33 1.9k

Countries citing papers authored by Kai Miao

Since Specialization
Citations

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

Fields of papers citing papers by Kai Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Miao. A scholar is included among the top collaborators of Kai Miao 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 Miao. Kai Miao 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.
Chen, Li, Anqi Lin, Bufu Tang, et al.. (2025). The Future of Cancer Therapy: Nanomaterials and Tumor Microenvironment. 1(1). 3 indexed citations
2.
Chen, Jiyu, Qi Li, Ke Song, et al.. (2025). Atorvastatin improves spermatogenesis in murine and in vitro human chronic orchitis models through restoring blood-testis barriers. Cell Death Discovery. 11(1). 505–505. 1 indexed citations
3.
Huang, Li‐Hua, Cangang Zhang, Aimin Jiang, et al.. (2025). T-cell Senescence in the Tumor Microenvironment. Cancer Immunology Research. 13(5). 618–632. 7 indexed citations
4.
Qi, Peng, Ruili Liu, Hao Liu, et al.. (2025). Assembly and breakage of head-to-head double hexamer reveals mpox virus E5-catalyzed DNA unwinding initiation. Nature Communications. 16(1). 5176–5176.
5.
Sun, Ruiji, Ziheng Wang, Peng Luo, et al.. (2025). iMetaMed: Transcending Disciplinary Borders and Integrative Vision for Medicine. 1(1).
6.
Miao, Kai, Aiping Zhang, Xiaodan Yang, et al.. (2025). Lymphatic system is the mainstream for breast cancer dissemination and metastasis revealed by single-cell lineage tracing. Molecular Cancer. 24(1). 75–75. 2 indexed citations
7.
Miao, Kai, et al.. (2025). Comparative Study on Extrusion 3D Printing of Solid Propellant Based on Plunger and Screw. Materials. 18(4). 777–777. 1 indexed citations
8.
Hu, Songtao, Pu Han, Meiyu Wang, et al.. (2024). Structural basis for the immune recognition and selectivity of the immune receptor PVRIG for ligand Nectin-2. Structure. 32(7). 918–929.e4. 3 indexed citations
9.
Guan, Xiaoqing, Yichao Wang, Wen-Kai Yu, et al.. (2024). Blocking Ubiquitin‐Specific Protease 7 Induces Ferroptosis in Gastric Cancer via Targeting Stearoyl‐CoA Desaturase. Advanced Science. 11(18). e2307899–e2307899. 39 indexed citations
10.
Shao, Fangyuan, Jianming Zeng, Sen Guo, et al.. (2023). Cullin-5 deficiency orchestrates the tumor microenvironment to promote mammary tumor development through CREB1-CCL2 signaling. Science Advances. 9(3). eabq1395–eabq1395. 10 indexed citations
12.
Li, Bei, Guohao Wang, Kai Miao, et al.. (2023). Fueling sentinel node via reshaping cytotoxic T lymphocytes with a flex-patch for post-operative immuno-adjuvant therapy. Nature Communications. 14(1). 2518–2518. 34 indexed citations
13.
Zhang, Aiping, Lijian Wang, Josh Haipeng Lei, et al.. (2023). SB Digestor: a tailored driver gene identification tool for dissecting heterogeneous Sleeping Beauty transposon-induced tumors. International Journal of Biological Sciences. 19(6). 1764–1777.
14.
Zhang, Aiping, Kai Miao, Heng Sun, & Chu‐Xia Deng. (2022). Tumor heterogeneity reshapes the tumor microenvironment to influence drug resistance. International Journal of Biological Sciences. 18(7). 3019–3033. 184 indexed citations breakdown →
15.
Yang, Qianying, Juan Liu, Yue Wang, et al.. (2021). A proteomic atlas of ligand–receptor interactions at the ovine maternal–fetal interface reveals the role of histone lactylation in uterine remodeling. Journal of Biological Chemistry. 298(1). 101456–101456. 54 indexed citations
16.
Fu, Wei, Yuan Yue, Kai Miao, et al.. (2020). Repression of FGF signaling is responsible for Dnmt3b inhibition and impaired de novo DNA methylation during early development of in vitro fertilized embryos. International Journal of Biological Sciences. 16(15). 3085–3099. 9 indexed citations
17.
Miao, Kai, Xin Zhang, Sek Man Su, et al.. (2018). Optimizing CRISPR/Cas9 technology for precise correction of the Fgfr3-G374R mutation in achondroplasia in mice. Journal of Biological Chemistry. 294(4). 1142–1151. 11 indexed citations
18.
Lahusen, Tyler, Seungjin Kim, Kai Miao, et al.. (2018). BRCA1 function in the intra-S checkpoint is activated by acetylation via a pCAF/SIRT1 axis. Oncogene. 37(17). 2343–2350. 16 indexed citations
19.
Chen, Si, Heng Sun, Kai Miao, & Chu‐Xia Deng. (2016). CRISPR-Cas9: from Genome Editing to Cancer Research. International Journal of Biological Sciences. 12(12). 1427–1436. 31 indexed citations
20.
Miao, Kai, M. Nakamura, Hideo Kanaide, Takeshi Kurozumi, & Kenjiro Tanaka. (1979). The vasotoxicity of the lysosomal contents from the renal cortex.. PubMed. 120B. 607–15. 1 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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