Kaiju Li
Impact in
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- Nanopore and Nanochannel Transport Studies
- Biosensors and Analytical Detection
- Microfluidic and Capillary Electrophoresis Applications
- Microfluidic and Bio-sensing Technologies
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- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
Papers in
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- Advanced biosensing and bioanalysis techniques 6
- RNA and protein synthesis mechanisms 3
- Lipid Membrane Structure and Behavior 1
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- Nanopore and Nanochannel Transport Studies 6
- Microfluidic and Bio-sensing Technologies 2
- Biosensors and Analytical Detection 2
- Co-authors
- Jia Geng (10 shared papers)Changjian Zhao (6 shared papers)Ke Sun (3 shared papers)Yu Wang (3 shared papers)Xinqiong Li (4 shared papers)Ming Zhang (5 shared papers)Guiqin Song (3 shared papers)Binwu Ying (3 shared papers)
In The Last Decade
Kaiju Li
10 papers receiving 218 citations
Kaiju Li's Hit Papers
Peers
Comparison fields: 5 of 44
- Biomedical Engineering 151
- Molecular Biology 139
- Electrochemistry 8
- Computational Mechanics 24
- Structural Biology 1
Countries citing papers authored by Kaiju Li
This map shows the geographic impact of Kaiju Li'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 Kaiju Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiju Li more than expected).
Fields of papers citing papers by Kaiju Li
This network shows the impact of papers produced by Kaiju Li. 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 Kaiju Li. The network helps show where Kaiju Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaiju Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Real-time detection of 20 amino acids and discrimination of pathologically relevant peptides with functionalized nanopore Hit paper breakdown → | 2024 | 82 |
| 2 | 2020 | 51 | |
| 3 | 2024 | 23 | |
| 4 | 2021 | 18 | |
| 5 | 2020 | 16 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 10 | |
| 8 | 2024 | 8 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 1 |
About Kaiju Li
Kaiju Li is a scholar working on Molecular Biology, Biomedical Engineering, Infectious Diseases, Physical and Theoretical Chemistry and Electrical and Electronic Engineering, having authored 10 papers that have together received 223 indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), RNA and protein synthesis mechanisms (3 papers), SARS-CoV-2 detection and testing (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Biosensors and Analytical Detection (2 papers), Fuel Cells and Related Materials (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Biomedical Engineering (151 citations), Molecular Biology (139 citations), Electrochemistry (8 citations), Computational Mechanics (24 citations) and Structural Biology (1 citation). Kaiju Li has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Jia Geng, Changjian Zhao, Ke Sun, Yu Wang, Xinqiong Li, Ming Zhang, Guiqin Song, Binwu Ying, Lu Chen and Chao Tang. Their work appears in journals such as Nanoscale, Nature Methods, Research, ACS Nano and Microchimica Acta.
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.