Che-Yu Lee
Impact in
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- Stock Market Forecasting Methods
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- RNA and protein synthesis mechanisms
- Single-cell and spatial transcriptomics
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- Glycosylation and Glycoproteins Research
Papers in
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- Single-cell and spatial transcriptomics 6
- Genomics and Phylogenetic Studies 2
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 2
- Bioinformatics and Genomic Networks 2
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- Cancer Genomics and Diagnostics 4
- Co-authors
- Chi‐Ching Lee (2 shared papers)Ping-Chiang Lyu (2 shared papers)Wei‐Cheng Lo (2 shared papers)Von‐Wun Soo (1 shared paper)Ziheng Duan (7 shared papers)Yang‐Wei Lin (1 shared paper)Jing Zhang (6 shared papers)Jing Zhang (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Nucleic Acids Research (2 papers)Cancer Research (2 papers)Journal of Clinical Oncology (1 paper)Molecular Therapy (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Che-Yu Lee
14 papers receiving 158 citations
Peers
Comparison fields: 5 of 60
- Management Science and Operations Research 24
- Molecular Biology 96
- Cancer Research 19
- Biotechnology 8
- Biological Psychiatry 2
Countries citing papers authored by Che-Yu Lee
This map shows the geographic impact of Che-Yu Lee'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 Che-Yu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che-Yu Lee more than expected).
Fields of papers citing papers by Che-Yu Lee
This network shows the impact of papers produced by Che-Yu Lee. 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 Che-Yu Lee. The network helps show where Che-Yu Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Che-Yu Lee, 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 | 2008 | 52 | |
| 2 | 2017 | 26 | |
| 3 | 2009 | 18 | |
| 4 | 2016 | 14 | |
| 5 | 2021 | 13 | |
| 6 | 2023 | 8 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 6 | |
| 9 | 2024 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Che-Yu Lee
Che-Yu Lee is a scholar working on Molecular Biology, Cancer Research, Artificial Intelligence, Pathology and Forensic Medicine and Health, Toxicology and Mutagenesis, having authored 17 papers that have together received 162 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Cancer Genomics and Diagnostics (4 papers), Genetic factors in colorectal cancer (2 papers), Genomics and Phylogenetic Studies (2 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers), Bioinformatics and Genomic Networks (2 papers) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Management Science and Operations Research (24 citations), Molecular Biology (96 citations), Cancer Research (19 citations), Biotechnology (8 citations) and Biological Psychiatry (2 citations). Che-Yu Lee has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Chi‐Ching Lee, Ping-Chiang Lyu, Wei‐Cheng Lo, Von‐Wun Soo, Ziheng Duan, Yang‐Wei Lin, Jing Zhang, Jing Zhang, Ahyeon Hwang and Matthew J. Girgenti. Their work appears in journals such as PLoS Computational Biology, Nucleic Acids Research, Cancer Research, Journal of Clinical Oncology and Molecular Therapy.
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.