Shao-Win Wang
Impact in
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- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Fungal and yeast genetics research
- DNA Repair Mechanisms
Papers in
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- Microtubule and mitosis dynamics 6
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- Fungal and yeast genetics research 12
- DNA Repair Mechanisms 8
- RNA Research and Splicing 7
- RNA modifications and cancer 3
- Genomics and Chromatin Dynamics 2
- Cancer therapeutics and mechanisms 1
- Co-authors
- Chris J. NorburyRebecca L. ReadTakashi TodaThein Z. WinAbigail StevensonAdrian L. HarrisRui Gonçalo MartinhoAntony M. Carr
- Journals
- Molecular and Cellular Biology (8 papers)Journal of Cell Science (3 papers)RNA (2 papers)Life Science Alliance (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United KingdomTaiwanSweden
In The Last Decade
Shao-Win Wang
17 papers receiving 532 citations
Peers
Comparison fields: 5 of 42
- Molecular Biology 519
- Aging 10
- Cell Biology 83
- Plant Science 78
- Structural Biology 2
Countries citing papers authored by Shao-Win Wang
This map shows the geographic impact of Shao-Win Wang'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 Shao-Win Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shao-Win Wang more than expected).
Fields of papers citing papers by Shao-Win Wang
This network shows the impact of papers produced by Shao-Win Wang. 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 Shao-Win Wang. The network helps show where Shao-Win Wang may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Shao-Win Wang, 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 | 2023 | 1 | |
| 2 | 2020 | 14 | |
| 3 | 2020 | 12 | |
| 4 | 2020 | 4 | |
| 5 | 2016 | 6 | |
| 6 | 2013 | 24 | |
| 7 | 2012 | 32 | |
| 8 | 2007 | 72 | |
| 9 | 2006 | 8 | |
| 10 | 2006 | 69 | |
| 11 | 2006 | 19 | |
| 12 | 2005 | 28 | |
| 13 | 2004 | 19 | |
| 14 | 2002 | 88 | |
| 15 | 2002 | 43 | |
| 16 | 2000 | 57 | |
| 17 | 1999 | 43 |
About Shao-Win Wang
Shao-Win Wang is a scholar working on Cell Biology, Molecular Biology, Cancer Research, Neurology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 539 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (12 papers), DNA Repair Mechanisms (8 papers), RNA Research and Splicing (7 papers), Microtubule and mitosis dynamics (6 papers), RNA modifications and cancer (3 papers), Genomics and Chromatin Dynamics (2 papers), Cancer therapeutics and mechanisms (1 paper) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Molecular Biology (519 citations), Aging (10 citations), Cell Biology (83 citations), Plant Science (78 citations) and Structural Biology (2 citations). Shao-Win Wang has collaborated with scholars based in United Kingdom, Taiwan and Sweden. Frequent co-authors include Chris J. Norbury, Rebecca L. Read, Takashi Toda, Thein Z. Win, Abigail Stevenson, Adrian L. Harris, Rui Gonçalo Martinho, Antony M. Carr, Stephen Kearsey and Jürg Bähler. Their work appears in journals such as Molecular and Cellular Biology, Journal of Cell Science, RNA, Life Science Alliance and Nucleic Acids Research.
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.