Ei-Wen Yang
Impact in
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- RNA Research and Splicing
- RNA regulation and disease
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- CRISPR and Genetic Engineering
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- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 3
- Gene expression and cancer classification 2
- Machine Learning in Bioinformatics 2
- Oncology 5
- Colorectal Cancer Treatments and Studies 3
- Co-authors
- Xinshu Xiao (4 shared papers)Jae Hoon Bahn (4 shared papers)Giovanni Quinones-Valdez (3 shared papers)Stephen Tran (2 shared papers)Yun-Hua Esther Hsiao (2 shared papers)Tao Jiang (4 shared papers)Enrique Velazquez‐Villarreal (10 shared papers)Yun Yang (1 shared paper)
- Journals
- Bioinformatics (4 papers)PLoS ONE (3 papers)Genome Research (2 papers)Cancers (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Ei-Wen Yang
24 papers receiving 495 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 387
- Cancer Research 63
- Health Informatics 4
- Radiology, Nuclear Medicine and Imaging 46
- Computational Theory and Mathematics 27
Countries citing papers authored by Ei-Wen Yang
This map shows the geographic impact of Ei-Wen Yang'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 Ei-Wen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ei-Wen Yang more than expected).
Fields of papers citing papers by Ei-Wen Yang
This network shows the impact of papers produced by Ei-Wen Yang. 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 Ei-Wen Yang. The network helps show where Ei-Wen Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ei-Wen Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 108 | |
| 2 | 2019 | 104 | |
| 3 | 2012 | 43 | |
| 4 | 2019 | 35 | |
| 5 | 2015 | 28 | |
| 6 | 2014 | 26 | |
| 7 | 2012 | 25 | |
| 8 | 2013 | 21 | |
| 9 | 2012 | 21 | |
| 10 | 2021 | 19 | |
| 11 | 2025 | 15 | |
| 12 | 2008 | 14 | |
| 13 | 2020 | 10 | |
| 14 | 2025 | 5 | |
| 15 | 2025 | 4 | |
| 16 | 2016 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 2 |
About Ei-Wen Yang
Ei-Wen Yang is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 496 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (4 papers), RNA Research and Splicing (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Cancer Genomics and Diagnostics (3 papers), RNA and protein synthesis mechanisms (3 papers), Gene expression and cancer classification (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Molecular Biology (387 citations), Cancer Research (63 citations), Health Informatics (4 citations), Radiology, Nuclear Medicine and Imaging (46 citations) and Computational Theory and Mathematics (27 citations). Ei-Wen Yang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Xinshu Xiao, Jae Hoon Bahn, Giovanni Quinones-Valdez, Stephen Tran, Yun-Hua Esther Hsiao, Tao Jiang, Enrique Velazquez‐Villarreal, Yun Yang, Xianzhi Lin and G Yeo. Their work appears in journals such as Bioinformatics, PLoS ONE, Genome Research, Cancers and Journal of Clinical Oncology.
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.