Chien‐Yu Chen
- Endocrinology top 0.5%
- Immunology top 2%
- Molecular Biology top 5%
- Protein Structure and Dynamics 14
- Genomics and Phylogenetic Studies 14
- Machine Learning in Bioinformatics 13
- RNA and protein synthesis mechanisms 11
- Bioinformatics and Genomic Networks 11
- Aquatic Science top 5%
- Organic Chemistry top 5%
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- Organic Electronics and Photovoltaics 12
- Organic Light-Emitting Diodes Research 12
- Perovskite Materials and Applications 8
- Co-authors
- Yu‐Yen OuYen‐Jen OyangChi‐Huey WongTsui-Ling HsuPan‐Chyr YangChong‐Jen YuYi‐Hsiu JuanCalvin Yu‐Chian Chen
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chien‐Yu Chen
192 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Endocrinology 548
- Immunology 1.1k
- Molecular Biology 2.3k
- Aquatic Science 151
- Organic Chemistry 438
Countries citing papers authored by Chien‐Yu Chen
This map shows the geographic impact of Chien‐Yu 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 Chien‐Yu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien‐Yu Chen more than expected).
Fields of papers citing papers by Chien‐Yu Chen
This network shows the impact of papers produced by Chien‐Yu 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 Chien‐Yu Chen. The network helps show where Chien‐Yu Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chien‐Yu 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 | 2025 | 8 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 30 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 3 | |
| 10 | 2021 | 0 | |
| 11 | 2021 | 38 | |
| 12 | 2020 | 7 | |
| 13 | LncRNA PCAT-1 Promoted ESCC Progression via Regulating ANXA10 Expression by Sponging miR-508-3p | 2019 | 2 |
| 14 | 2016 | 19 | |
| 15 | The opportunistic marine pathogen Vibrio parahaemolyticus becomes virulent by acquiring a plasmid that expresses a deadly toxinbreakdown → | 2015 | 467 |
| 16 | 2015 | 4 | |
| 17 | 2010 | 15 | |
| 18 | 2009 | 20 | |
| 19 | 2009 | 9 | |
| 20 | Prediction of Protein Secondary Structures with a Novel Kernel Density Estimator. | 2007 | 1 |
About Chien‐Yu Chen
Chien‐Yu Chen is a scholar working on Molecular Biology, Immunology and Cancer Research, having authored 198 papers that have together received 5.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (14 papers), Genomics and Phylogenetic Studies (14 papers), Machine Learning in Bioinformatics (13 papers), Organic Electronics and Photovoltaics (12 papers), Organic Light-Emitting Diodes Research (12 papers), RNA and protein synthesis mechanisms (11 papers), Bioinformatics and Genomic Networks (11 papers) and Perovskite Materials and Applications (8 papers). The work is most often cited by research in Endocrinology (548 citations), Immunology (1.1k citations) and Molecular Biology (2.3k citations). Chien‐Yu Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yu‐Yen Ou, Yen‐Jen Oyang, Chi‐Huey Wong, Tsui-Ling Hsu, Pan‐Chyr Yang, Chong‐Jen Yu, Yi‐Hsiu Juan, Calvin Yu‐Chian Chen, Lien‐I Hor and Chu‐Fang Lo. Their work appears in journals such as Nucleic Acids Research, Advanced Materials, BMC Genomics, Proceedings of the National Academy of Sciences and BMC Bioinformatics.
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.