Guey‐Shin Wang
Impact in
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- Genetic Neurodegenerative Diseases
- Molecular Biology top 5%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Mitochondrial Function and Pathology
- Muscle Physiology and Disorders
- RNA regulation and disease
Papers in
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- RNA Research and Splicing 6
- Mitochondrial Function and Pathology 4
- Fungal and yeast genetics research 2
- RNA regulation and disease 2
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- Genetic Neurodegenerative Diseases 8
- Co-authors
- Thomas A. Cooper (4 shared papers)Debra L. Kearney (1 shared paper)Mariella De Biasi (1 shared paper)George E. Taffet (1 shared paper)Ting‐Yu Kuo (6 shared papers)Yi‐Ping Hsueh (4 shared papers)Ting‐Fang Wang (3 shared papers)Muge N. Kuyumcu‐Martinez (2 shared papers)
- Journals
- Journal of Clinical Investigation (2 papers)Neuron (2 papers)Acta Neuropathologica Communications (1 paper)Journal of Neuroscience (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- TaiwanUnited StatesRussia
In The Last Decade
Guey‐Shin Wang
17 papers receiving 1.8k citations
Guey‐Shin Wang's Hit Papers
Peers
Comparison fields: 5 of 94
- Cellular and Molecular Neuroscience 550
- Molecular Biology 1.5k
- Aging 24
- Genetics 105
- Cancer Research 143
Countries citing papers authored by Guey‐Shin Wang
This map shows the geographic impact of Guey‐Shin 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 Guey‐Shin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guey‐Shin Wang more than expected).
Fields of papers citing papers by Guey‐Shin Wang
This network shows the impact of papers produced by Guey‐Shin 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 Guey‐Shin Wang. The network helps show where Guey‐Shin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guey‐Shin 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 | Splicing in disease: disruption of the splicing code and the decoding machinery Hit paper breakdown → | 2007 | 764 |
| 2 | 2007 | 352 | |
| 3 | 2007 | 157 | |
| 4 | 2004 | 126 | |
| 5 | 2009 | 84 | |
| 6 | 2004 | 69 | |
| 7 | 2013 | 51 | |
| 8 | 2018 | 39 | |
| 9 | 2017 | 36 | |
| 10 | 2017 | 28 | |
| 11 | 2005 | 22 | |
| 12 | 2002 | 17 | |
| 13 | 1999 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2021 | 10 | |
| 16 | 2004 | 5 | |
| 17 | 2023 | 1 |
About Guey‐Shin Wang
Guey‐Shin Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Neurology and Physiology, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (8 papers), RNA Research and Splicing (6 papers), Mitochondrial Function and Pathology (4 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Fungal and yeast genetics research (2 papers), Cardiomyopathy and Myosin Studies (2 papers), RNA regulation and disease (2 papers) and Cardiovascular Effects of Exercise (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (550 citations), Molecular Biology (1.5k citations), Aging (24 citations), Genetics (105 citations) and Cancer Research (143 citations). Guey‐Shin Wang has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Thomas A. Cooper, Debra L. Kearney, Mariella De Biasi, George E. Taffet, Ting‐Yu Kuo, Yi‐Ping Hsueh, Ting‐Fang Wang, Muge N. Kuyumcu‐Martinez, Tzyy‐Nan Huang and Nitin Mathur. Their work appears in journals such as Journal of Clinical Investigation, Neuron, Acta Neuropathologica Communications, Journal of Neuroscience and Human Molecular Genetics.
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.