Yuting Chen
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- bioluminescence and chemiluminescence research
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- Computational Drug Discovery Methods
Papers in
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- Protein Structure and Dynamics 4
- RNA and protein synthesis mechanisms 4
- bioluminescence and chemiluminescence research 2
- Genetics 7
- Genomic variations and chromosomal abnormalities 5
- Evolution and Genetic Dynamics 2
- Co-authors
- Ning Zhang (3 shared papers)Minghui Li (3 shared papers)Shuqin Wang (2 shared papers)Feiyang Zhao (2 shared papers)Roberto Vera Alvarez (1 shared paper)Anna R. Panchenko (1 shared paper)Alexander Goncearenco (1 shared paper)Qing Yang (2 shared papers)
- Journals
- PLoS Computational Biology (2 papers)iScience (1 paper)Journal of environmental chemical engineering (1 paper)Scientific Reports (1 paper)Water Research (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Yuting Chen
16 papers receiving 507 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 352
- Computational Theory and Mathematics 63
- Genetics 111
- Software 14
- Infectious Diseases 49
Countries citing papers authored by Yuting Chen
This map shows the geographic impact of Yuting 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 Yuting Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Chen more than expected).
Fields of papers citing papers by Yuting Chen
This network shows the impact of papers produced by Yuting 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 Yuting Chen. The network helps show where Yuting Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting 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 | 2020 | 155 | |
| 2 | 2020 | 122 | |
| 3 | 2021 | 39 | |
| 4 | 2018 | 38 | |
| 5 | 2017 | 35 | |
| 6 | 2021 | 26 | |
| 7 | 2010 | 16 | |
| 8 | 2020 | 16 | |
| 9 | 2016 | 15 | |
| 10 | 2011 | 12 | |
| 11 | 2014 | 11 | |
| 12 | 2024 | 11 | |
| 13 | 2014 | 11 | |
| 14 | 2025 | 4 | |
| 15 | 2025 | 1 | |
| 16 | 2014 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Yuting Chen
Yuting Chen is a scholar working on Molecular Biology, Genetics, Plant Science, Pediatrics, Perinatology and Child Health and Pollution, having authored 18 papers that have together received 513 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (5 papers), Chromosomal and Genetic Variations (4 papers), Protein Structure and Dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers), Prenatal Screening and Diagnostics (3 papers), bioluminescence and chemiluminescence research (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Molecular Biology (352 citations), Computational Theory and Mathematics (63 citations), Genetics (111 citations), Software (14 citations) and Infectious Diseases (49 citations). Yuting Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Ning Zhang, Minghui Li, Shuqin Wang, Feiyang Zhao, Roberto Vera Alvarez, Anna R. Panchenko, Alexander Goncearenco, Qing Yang, Chang-ye Hui and Limei Li. Their work appears in journals such as PLoS Computational Biology, iScience, Journal of environmental chemical engineering, Scientific Reports and Water Research.
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.