Kai Shi

983 total citations · 1 hit paper
21 papers, 860 citations indexed

About

Kai Shi is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Kai Shi has authored 21 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Biomedical Engineering and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Kai Shi's work include Advanced biosensing and bioanalysis techniques (17 papers), RNA Interference and Gene Delivery (8 papers) and CRISPR and Genetic Engineering (5 papers). Kai Shi is often cited by papers focused on Advanced biosensing and bioanalysis techniques (17 papers), RNA Interference and Gene Delivery (8 papers) and CRISPR and Genetic Engineering (5 papers). Kai Shi collaborates with scholars based in China. Kai Shi's co-authors include Ruo Yuan, Yun Xiang, Baoting Dou, Cuiyun Yang, Yaqin Chai, Zhou Nie, Chunyang Lei, Shuo Wang, Shiyi Xie and Jianmei Yang and has published in prestigious journals such as Analytical Chemistry, Food Chemistry and ACS Applied Materials & Interfaces.

In The Last Decade

Kai Shi

19 papers receiving 849 citations

Hit Papers

A CRISPR-Cas autocatalysis-driven feedback amplification ... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Shi China 12 799 259 169 122 85 21 860
Guiming Xiang China 18 562 0.7× 262 1.0× 187 1.1× 88 0.7× 144 1.7× 31 736
Kai-Ren Zhao China 14 533 0.7× 264 1.0× 38 0.2× 158 1.3× 97 1.1× 16 634
Anzhi Sheng China 13 433 0.5× 197 0.8× 58 0.3× 117 1.0× 50 0.6× 26 575
Weipan Peng China 17 641 0.8× 474 1.8× 67 0.4× 183 1.5× 54 0.6× 35 812
Ling Jiang China 12 468 0.6× 258 1.0× 43 0.3× 109 0.9× 84 1.0× 46 697
Anna Miodek France 17 624 0.8× 314 1.2× 40 0.2× 85 0.7× 242 2.8× 21 807
Jiafang Piao China 16 576 0.7× 393 1.5× 62 0.4× 129 1.1× 38 0.4× 25 708
Changyoon Baek South Korea 14 327 0.4× 278 1.1× 29 0.2× 93 0.8× 73 0.9× 37 603
Axiu Nie China 9 380 0.5× 194 0.7× 23 0.1× 140 1.1× 67 0.8× 9 445

Countries citing papers authored by Kai Shi

Since Specialization
Citations

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

Fields of papers citing papers by Kai Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Shi. A scholar is included among the top collaborators of Kai Shi 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 Shi. Kai Shi 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
2.
Chen, Jia‐Xuan & Kai Shi. (2025). A fluorescent aptasensor for accurate and sensitive detection of glyphosate based on asymmetrically competitive CRISPR/Cas12a with phosphorothioate-modified G-quadruplex. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 345. 126840–126840. 1 indexed citations
3.
Shi, Kai, et al.. (2025). Porphyromonas gingivalis OMVs Activate Macrophage-Hepatic Stellate Cells via Thbs1/TGF-β Signalling in NAFLD. International Dental Journal. 76(1). 104005–104005.
4.
Shi, Kai, et al.. (2025). Emerging Roles of Periodontal Pathogen–Derived Outer Membrane Vesicles in NAFLD. International Dental Journal. 75(4). 100825–100825. 1 indexed citations
6.
Shi, Kai, et al.. (2024). Genome-Wide Identification of B-Box Gene Family and Candidate Light-Related Member Analysis of Tung Tree (Vernicia fordii). International Journal of Molecular Sciences. 25(4). 1977–1977. 2 indexed citations
7.
Shi, Kai, Sujun Liu, Lin Zhang, et al.. (2024). Phosphorothioate-modified G-quadruplex as a signal-on dual-mode reporter for CRISPR/Cas12a-based portable detection of environmental pollutants. Analytica Chimica Acta. 1308. 342649–342649. 13 indexed citations
9.
Shi, Kai, et al.. (2024). Target-promoted formation of DNA four-way junction for catalytic hairpin assembly amplification and electrochemical SNP assay in folded hairpin structure. Sensors and Actuators B Chemical. 423. 136865–136865. 2 indexed citations
10.
Shi, Kai, Lei Cao, Fang Liu, et al.. (2021). Amplified and label-free electrochemical detection of a protease biomarker by integrating proteolysis-triggered transcription. Biosensors and Bioelectronics. 190. 113372–113372. 17 indexed citations
11.
Shi, Kai, Shiyi Xie, Shuo Wang, et al.. (2021). A CRISPR-Cas autocatalysis-driven feedback amplification network for supersensitive DNA diagnostics. Science Advances. 7(5). 238 indexed citations breakdown →
12.
Yang, Min, Kai Shi, Fang Liu, et al.. (2020). Coupling of proteolysis-triggered transcription and CRISPR-Cas12a for ultrasensitive protease detection. Science China Chemistry. 64(2). 330–336. 30 indexed citations
13.
Shi, Kai, et al.. (2017). DNA three way junction-mediated recycling amplification for sensitive electrochemical monitoring of uracil-DNA glycosylase activity and inhibition. Sensors and Actuators B Chemical. 258. 783–788. 17 indexed citations
14.
Shi, Kai, Baoting Dou, Jianmei Yang, Ruo Yuan, & Yun Xiang. (2016). Cascaded strand displacement for non-enzymatic target recycling amplification and label-free electronic detection of microRNA from tumor cells. Analytica Chimica Acta. 916. 1–7. 35 indexed citations
15.
Dou, Baoting, Jianmei Yang, Kai Shi, Ruo Yuan, & Yun Xiang. (2016). DNA-mediated strand displacement facilitates sensitive electronic detection of antibodies in human serums. Biosensors and Bioelectronics. 83. 156–161. 21 indexed citations
16.
Shi, Kai, Baoting Dou, Jianmei Yang, Ruo Yuan, & Yun Xiang. (2016). Target-triggered catalytic hairpin assembly and TdT-catalyzed DNA polymerization for amplified electronic detection of thrombin in human serums. Biosensors and Bioelectronics. 87. 495–500. 65 indexed citations
17.
Zheng, Fangcai, et al.. (2016). Facile fabrication of highly porous Co3O4 nanobelts as anode materials for lithium-ion batteries. RSC Advances. 6(12). 9640–9646. 22 indexed citations
18.
Shi, Kai, Baoting Dou, Cuiyun Yang, et al.. (2015). DNA-Fueled Molecular Machine Enables Enzyme-Free Target Recycling Amplification for Electronic Detection of MicroRNA from Cancer Cells with Highly Minimized Background Noise. Analytical Chemistry. 87(16). 8578–8583. 118 indexed citations
19.
Yang, Cuiyun, Baoting Dou, Kai Shi, et al.. (2014). Multiplexed and Amplified Electronic Sensor for the Detection of MicroRNAs from Cancer Cells. Analytical Chemistry. 86(23). 11913–11918. 126 indexed citations
20.
Yang, Cuiyun, Kai Shi, Baoting Dou, et al.. (2014). In Situ DNA-Templated Synthesis of Silver Nanoclusters for Ultrasensitive and Label-Free Electrochemical Detection of MicroRNA. ACS Applied Materials & Interfaces. 7(2). 1188–1193. 144 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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