Tai Chen
Impact in
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- DNA and Biological Computing
- Advanced biosensing and bioanalysis techniques
- Microbial Metabolic Engineering and Bioproduction
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
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- Cellular Automata and Applications
Papers in
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- Microbial Metabolic Engineering and Bioproduction 3
- Advanced biosensing and bioanalysis techniques 2
- RNA and protein synthesis mechanisms 2
- Plant biochemistry and biosynthesis 1
- DNA and Biological Computing 1
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- Microbial Natural Products and Biosynthesis 1
- Co-authors
- Yue Shen (4 shared papers)Zhi Ping (2 shared papers)Wenwei Zhang (2 shared papers)Shihong Chen (1 shared paper)Xiaoluo Huang (1 shared paper)Henry H. Lee (1 shared paper)Sha Zhu (1 shared paper)Huanming Yang (2 shared papers)
- Journals
- iScience (1 paper)Microbial Cell Factories (1 paper)New Biotechnology (1 paper)Nature Computational Science (1 paper)ACS Synthetic Biology (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Tai Chen
7 papers receiving 116 citations
Peers
Comparison fields: 5 of 30
- Molecular Biology 107
- Computational Theory and Mathematics 18
- Biotechnology 8
- Mechanical Engineering 20
- Artificial Intelligence 16
Countries citing papers authored by Tai Chen
This map shows the geographic impact of Tai Chen'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 Tai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai Chen more than expected).
Fields of papers citing papers by Tai Chen
This network shows the impact of papers produced by Tai Chen. 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 Tai Chen. The network helps show where Tai Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Tai Chen, 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 | 2022 | 77 | |
| 2 | 2021 | 12 | |
| 3 | 2020 | 10 | |
| 4 | 2022 | 10 | |
| 5 | 2020 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2016 | 2 | |
| 8 | 2025 | 0 |
About Tai Chen
Tai Chen is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 117 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA and protein synthesis mechanisms (2 papers), Microbial Natural Products and Biosynthesis (1 paper), Bacterial Genetics and Biotechnology (1 paper), Plant biochemistry and biosynthesis (1 paper), DNA and Biological Computing (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Molecular Biology (107 citations), Computational Theory and Mathematics (18 citations), Biotechnology (8 citations), Mechanical Engineering (20 citations) and Artificial Intelligence (16 citations). Tai Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yue Shen, Zhi Ping, Wenwei Zhang, Shihong Chen, Xiaoluo Huang, Henry H. Lee, Sha Zhu, Huanming Yang, George M. Church and Haoling Zhang. Their work appears in journals such as iScience, Microbial Cell Factories, New Biotechnology, Nature Computational Science and ACS Synthetic Biology.
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.