Ei-Wen Yang
Impact in
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- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 5
- RNA modifications and cancer 3
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- Cancer Genomics and Diagnostics 6
- Cancer-related molecular mechanisms research 4
- 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)Yun Yang (1 shared paper)Xianzhi Lin (1 shared paper)
- Journals
- Bioinformatics (4 papers)Cancers (2 papers)Genome Research (2 papers)Endocrinology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Ei-Wen Yang
20 papers receiving 389 citations
Peers
Comparison fields: 5 of 58
- Health Informatics 8
- Cancer Research 78
- Molecular Biology 332
- Immunology 28
- Cardiology and Cardiovascular Medicine 19
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 106 | |
| 2 | 2019 | 103 | |
| 3 | 2019 | 35 | |
| 4 | 2015 | 28 | |
| 5 | 2012 | 21 | |
| 6 | 2013 | 21 | |
| 7 | 2021 | 17 | |
| 8 | 2025 | 14 | |
| 9 | 2008 | 14 | |
| 10 | 2020 | 10 | |
| 11 | 2025 | 4 | |
| 12 | 2025 | 4 | |
| 13 | 2016 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2013 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 1 | |
| 19 | Tauroursodeoxycholic Acid (TUDCA) Prevents Loss of Visual Function in Rats | 2008 | 1 |
| 20 | 2025 | 1 |
About Ei-Wen Yang
Ei-Wen Yang is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 391 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (6 papers), Cancer Genomics and Diagnostics (6 papers), RNA Research and Splicing (5 papers), Cancer-related molecular mechanisms research (4 papers), Colorectal Cancer Treatments and Studies (3 papers), RNA modifications and cancer (3 papers), Colorectal Cancer Screening and Detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Health Informatics (8 citations), Cancer Research (78 citations), Molecular Biology (332 citations), Immunology (28 citations) and Cardiology and Cardiovascular Medicine (19 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, Yun Yang, Xianzhi Lin, Henry Pratt and Brenton R. Graveley. Their work appears in journals such as Bioinformatics, Cancers, Genome Research, Endocrinology and Nature Communications.
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.