Kai Shi

419 total citations · 1 hit paper
11 papers, 274 citations indexed

About

Kai Shi is a scholar working on Molecular Biology, Biomedical Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Kai Shi has authored 11 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Kai Shi's work include Advanced biosensing and bioanalysis techniques (5 papers), CRISPR and Genetic Engineering (4 papers) and Biosensors and Analytical Detection (3 papers). Kai Shi is often cited by papers focused on Advanced biosensing and bioanalysis techniques (5 papers), CRISPR and Genetic Engineering (4 papers) and Biosensors and Analytical Detection (3 papers). Kai Shi collaborates with scholars based in China and United States. Kai Shi's co-authors include Shixing Zhou, Hua Shao, Ling Huang, Xunzhi Zhu, Chi Zhang, Jiaxuan Chen, Xiaodong Yang, Haipeng Cheng, Fei Xie and Zhidong Cen and has published in prestigious journals such as Analytical Biochemistry, Analytica Chimica Acta and Frontiers in Plant Science.

In The Last Decade

Kai Shi

10 papers receiving 271 citations

Hit Papers

Phthalic Acid Esters: Natural Sources and Biological Acti... 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 5 81 62 50 36 28 11 274
Xunzhi Zhu China 9 77 1.0× 62 1.0× 100 2.0× 49 1.4× 33 1.2× 11 302
Wilma Augustyn South Africa 11 53 0.7× 57 0.9× 83 1.7× 64 1.8× 37 1.3× 27 280
Mehran Mohseni Iran 12 89 1.1× 58 0.9× 77 1.5× 93 2.6× 27 1.0× 39 356
Michel Larroque France 11 72 0.9× 76 1.2× 36 0.7× 69 1.9× 38 1.4× 20 362
Mereke Alimzhanova Kazakhstan 12 61 0.8× 65 1.0× 64 1.3× 98 2.7× 35 1.3× 42 376
Phil Botham United Kingdom 9 51 0.6× 80 1.3× 48 1.0× 34 0.9× 15 0.5× 16 265
Yujie Wu China 11 71 0.9× 124 2.0× 37 0.7× 71 2.0× 23 0.8× 25 444
A. Vanitha India 8 96 1.2× 19 0.3× 103 2.1× 39 1.1× 19 0.7× 16 426
Yasmin E. Abdel‐Mobdy Egypt 5 39 0.5× 128 2.1× 97 1.9× 30 0.8× 28 1.0× 10 371
Elaine Silva de Pádua Melo Brazil 9 38 0.5× 55 0.9× 51 1.0× 47 1.3× 64 2.3× 36 267

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

11 of 11 papers shown
1.
2.
Shi, Kai, Jia‐Xuan Chen, Ying Cheng, et al.. (2025). A novel label-free electrochemical aptasensor for sensitive and selective detection of microplastics based on split gRNA with CRISPR/Cas12a-mediated cascade strand displacement. Sensors and Actuators B Chemical. 444. 138491–138491. 3 indexed citations
3.
Li, Daxiu, Yuhao Li, Yao Qin, et al.. (2025). Inter-particle DNA walker amplification coupled with target self-convert for sensitive detection of multiple miRNA by liquid chromatography. Analytical Methods. 17(15). 2971–2977. 1 indexed citations
4.
Shi, Kai, et al.. (2023). PAM-free cascaded strand displacement coupled with CRISPR-Cas12a for amplified electrochemical detection of SARS-CoV-2 RNA. Analytical Biochemistry. 664. 115046–115046. 18 indexed citations
5.
Shi, Kai, Jiaxuan Chen, Yuhao Li, et al.. (2023). Hg2+-triggered cascade strand displacement assisted CRISPR-Cas12a for Hg2+ quantitative detection using a portable glucose meter. Analytica Chimica Acta. 1278. 341756–341756. 14 indexed citations
6.
Han, Caixia, et al.. (2022). Phytotoxic, insecticidal, and antimicrobial activities of Ajania tibetica essential oil. Frontiers in Plant Science. 13. 1028252–1028252. 5 indexed citations
7.
Huang, Ling, Xunzhi Zhu, Shixing Zhou, et al.. (2021). Phthalic Acid Esters: Natural Sources and Biological Activities. Toxins. 13(7). 495–495. 202 indexed citations breakdown →
9.
Yang, Xiaodong, Zhidong Cen, Haipeng Cheng, et al.. (2017). L-3-n-Butylphthalide Protects HSPB8 K141N Mutation-Induced Oxidative Stress by Modulating the Mitochondrial Apoptotic and Nrf2 Pathways. Frontiers in Neuroscience. 11. 23 indexed citations
10.
Shi, Kai, et al.. (2012). Research on Modeling Method for Freezing Tunnel with Fractured Surrounding Rock. Advanced materials research. 455-456. 1591–1595. 1 indexed citations
11.
Vliert, Evert Van de, et al.. (2003). Interpretatie en effect van feedback van de baas, in China en Nederland. Gedrag & Organisatie. 16(2). 125–139. 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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