Kai Shao

1.6k total citations
53 papers, 1.1k citations indexed

About

Kai Shao is a scholar working on Molecular Biology, Biomaterials and Epidemiology. According to data from OpenAlex, Kai Shao has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Biomaterials and 12 papers in Epidemiology. Recurrent topics in Kai Shao's work include Inflammatory Myopathies and Dermatomyositis (8 papers), Nanocomposite Films for Food Packaging (6 papers) and Nanoplatforms for cancer theranostics (6 papers). Kai Shao is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (8 papers), Nanocomposite Films for Food Packaging (6 papers) and Nanoplatforms for cancer theranostics (6 papers). Kai Shao collaborates with scholars based in China, United States and Canada. Kai Shao's co-authors include Baoqin Han, Peng Zhang, Jinning Gao, Xu Li, Hongtao Liu, Wanshun Liu, Xiaoying Kong, Libo Zhang, Tong Liang and Yin Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Kai Shao

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Shao China 21 467 281 208 171 128 53 1.1k
Yong Zhuang China 22 519 1.1× 147 0.5× 217 1.0× 162 0.9× 95 0.7× 75 1.4k
Mohammad Mehdi Yaghoobi Iran 19 442 0.9× 146 0.5× 154 0.7× 76 0.4× 81 0.6× 62 1.2k
Ruihong Li China 18 245 0.5× 212 0.8× 197 0.9× 126 0.7× 42 0.3× 52 1.2k
Weiwei Lin China 26 462 1.0× 310 1.1× 136 0.7× 194 1.1× 43 0.3× 66 1.4k
Liping Teng China 14 380 0.8× 150 0.5× 184 0.9× 176 1.0× 60 0.5× 53 1.0k
Xiaohong Zhang China 19 622 1.3× 126 0.4× 82 0.4× 111 0.6× 79 0.6× 66 1.6k
Lifen Wang China 25 539 1.2× 98 0.3× 272 1.3× 196 1.1× 138 1.1× 85 1.7k
Jianjun Li China 24 652 1.4× 149 0.5× 120 0.6× 504 2.9× 47 0.4× 93 1.5k
Lin Huang China 24 830 1.8× 169 0.6× 84 0.4× 213 1.2× 95 0.7× 74 1.5k
Marzena Gajęcka Poland 27 770 1.6× 193 0.7× 108 0.5× 75 0.4× 151 1.2× 98 2.3k

Countries citing papers authored by Kai Shao

Since Specialization
Citations

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

Fields of papers citing papers by Kai Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Shao. A scholar is included among the top collaborators of Kai Shao 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 Shao. Kai Shao 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.
Sun, Xiaojie, Xiaoyan Yang, Zitong Wang, et al.. (2025). The micro-nano electrospinning membrane with water repellenting separation effect for interface hemostasis and anti-adhesion. Chinese Chemical Letters. 111841–111841.
2.
Zhang, Chen, Bing Zhao, Fengyi Zhang, et al.. (2025). Generation of an induced pluripotent stem cell (iPSC) line (INNDSUi0010-A) from a patient with Anti-MDA5 antibody-positive dermatomyositis. Stem Cell Research. 86. 103714–103714. 1 indexed citations
3.
4.
5.
Fu, Lijun, Lining Zhang, Kai Shao, et al.. (2024). Development of differential diagnostic models for distinguishing between limb-girdle muscular dystrophy and idiopathic inflammatory myopathy. Arthritis Research & Therapy. 26(1). 215–215.
6.
Zhao, Dandan, et al.. (2024). Idebenone ameliorates statin-induced myotoxicity in atherosclerotic ApoE−/− mice by reducing oxidative stress and improving mitochondrial function. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(5). 167157–167157. 5 indexed citations
7.
Li, Tiantian, Chen Zhang, Xiaotian Ma, et al.. (2023). Butyrate mitigates metabolic dysfunctions via the ERα-AMPK pathway in muscle in OVX mice with diet-induced obesity. Cell Communication and Signaling. 21(1). 95–95. 15 indexed citations
8.
Shao, Kai, Fenglan Zhang, Tianyi Wang, et al.. (2023). “Block and attack” strategy for tumor therapy through ZnO2/siRNA/NIR‐mediating Zn2+‐overload and amplified oxidative stress. SHILAP Revista de lepidopterología. 4(4). 29 indexed citations
9.
Liu, Limin, et al.. (2022). Gut microbiota and butyrate contribute to nonalcoholic fatty liver disease in premenopause due to estrogen deficiency. PLoS ONE. 17(2). e0262855–e0262855. 49 indexed citations
10.
Sun, Xiaojie, Jing Li, Kai Shao, et al.. (2021). A composite sponge based on alkylated chitosan and diatom-biosilica for rapid hemostasis. International Journal of Biological Macromolecules. 182. 2097–2107. 54 indexed citations
11.
Yi, Xin, et al.. (2021). KIAA1522 is a new biomarker of promoting the tumorigenesis and distant metastasis of colorectal carcinoma. Cellular Signalling. 90. 110202–110202. 7 indexed citations
12.
Hou, Ying, Kai Shao, Tingjun Dai, et al.. (2021). Juvenile idiopathic inflammatory myopathies with anti‐3‐hydroxy‐3‐methylglutaryl‐coenzyme A reductase antibodies in a Chinese cohort. CNS Neuroscience & Therapeutics. 27(9). 1041–1047. 5 indexed citations
13.
Xiao, Ying, Kai Shao, Jingwen Zhou, et al.. (2021). Structure-based engineering of substrate specificity for pinoresinol-lariciresinol reductases. Nature Communications. 12(1). 2828–2828. 25 indexed citations
14.
Hou, Ying, Kai Shao, Yaping Yan, et al.. (2021). Anti-HMGCR myopathy overlaps with dermatomyositis-like rash: a distinct subtype of idiopathic inflammatory myopathy. Journal of Neurology. 269(1). 280–293. 16 indexed citations
15.
Shao, Kai, Xue Zhang, Xu Li, et al.. (2020). The oligomeric structures of plant cryptochromes. Nature Structural & Molecular Biology. 27(5). 480–488. 71 indexed citations
16.
Jiang, Zhiwen, Shuning Wang, Jun Hou, et al.. (2020). Effects of carboxymethyl chitosan oligosaccharide on regulating immunologic function and inhibiting tumor growth. Carbohydrate Polymers. 250. 116994–116994. 43 indexed citations
17.
Xu, Dongmei, Hua Pan, Jiachao Yao, et al.. (2020). Stress responses and biological residues of sulfanilamide antibiotics in Arabidopsis thaliana. Ecotoxicology and Environmental Safety. 199. 110727–110727. 23 indexed citations
18.
Shao, Kai, Tiantian Li, Aijun Zhang, et al.. (2019). Indirubin regulates MPL and TNF expression in peripheral blood mononuclear cells from patients with primary immune thrombocytopenia. Experimental Hematology. 73. 18–24. 11 indexed citations
19.
Yang, Yu, Tong Liang, Libo Zhang, et al.. (2018). UVR8 interacts with WRKY36 to regulate HY5 transcription and hypocotyl elongation in Arabidopsis. Nature Plants. 4(2). 98–107. 165 indexed citations
20.
Dong, Wen, Baoqin Han, Kai Shao, et al.. (2012). Effects of molecular weights on the absorption, distribution and urinary excretion of intraperitoneally administrated carboxymethyl chitosan in rats. Journal of Materials Science Materials in Medicine. 23(12). 2945–2952. 24 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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