William Yang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- RNA modifications and cancer
- FOXO transcription factor regulation
Papers in
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- Gene expression and cancer classification 7
- Bioinformatics and Genomic Networks 5
- Genomics and Phylogenetic Studies 4
- RNA modifications and cancer 4
- Single-cell and spatial transcriptomics 3
- RNA Research and Splicing 3
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- Cancer-related molecular mechanisms research 6
- Cancer Genomics and Diagnostics 4
- Co-authors
- Mary Qu Yang (20 shared papers)Jack Yang (12 shared papers)Zhongxue Chen (4 shared papers)Renchu Guan (9 shared papers)Jun S. Liu (7 shared papers)Weida Tong (8 shared papers)Youping Deng (5 shared papers)A. Keith Dunker (3 shared papers)
- Journals
- BMC Bioinformatics (4 papers)BMC Systems Biology (3 papers)BMC Genomics (2 papers)BMC Medical Genomics (2 papers)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
William Yang
26 papers receiving 426 citations
Peers
Comparison fields: 5 of 99
- Cancer Research 98
- Molecular Biology 301
- Genetics 58
- Oncology 55
- Pulmonary and Respiratory Medicine 61
Countries citing papers authored by William Yang
This map shows the geographic impact of William 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 William Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Yang more than expected).
Fields of papers citing papers by William Yang
This network shows the impact of papers produced by William 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 William Yang. The network helps show where William Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside William 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 | 2014 | 74 | |
| 2 | 2008 | 59 | |
| 3 | 2014 | 40 | |
| 4 | 2014 | 30 | |
| 5 | 2018 | 24 | |
| 6 | 2018 | 24 | |
| 7 | 2016 | 22 | |
| 8 | 2015 | 21 | |
| 9 | 2015 | 20 | |
| 10 | 2014 | 20 | |
| 11 | 2018 | 16 | |
| 12 | 1999 | 14 | |
| 13 | 2018 | 14 | |
| 14 | 2018 | 11 | |
| 15 | 2016 | 10 | |
| 16 | 2017 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2014 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2018 | 4 |
About William Yang
William Yang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Artificial Intelligence, having authored 26 papers that have together received 436 indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Cancer-related molecular mechanisms research (6 papers), Bioinformatics and Genomic Networks (5 papers), Genomics and Phylogenetic Studies (4 papers), Cancer Genomics and Diagnostics (4 papers), RNA modifications and cancer (4 papers), Single-cell and spatial transcriptomics (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (98 citations), Molecular Biology (301 citations), Genetics (58 citations), Oncology (55 citations) and Pulmonary and Respiratory Medicine (61 citations). William Yang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Mary Qu Yang, Jack Yang, Zhongxue Chen, Renchu Guan, Jun S. Liu, Weida Tong, Youping Deng, A. Keith Dunker, Xiang Qin and Kenji Yoshigoe. Their work appears in journals such as BMC Bioinformatics, BMC Systems Biology, BMC Genomics, BMC Medical Genomics and Journal of Cellular Biochemistry.
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.