Shau‐Kwaun Chen
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Bone Metabolism and Diseases 4
- Epigenetics and DNA Methylation 1
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- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Gerald J. Spangrude (1 shared paper)Scott Cho (1 shared paper)Petr Tvrdík (1 shared paper)Mario R. Capecchi (2 shared papers)Sen Wu (1 shared paper)Yun‐Li Ma (3 shared papers)Eminy H.Y. Lee (3 shared papers)Kuen‐Jer Tsai (1 shared paper)
- Journals
- Molecular Biology Reports (2 papers)Journal of Cellular Biochemistry (1 paper)Acupuncture & Electro-Therapeutics Research (1 paper)The Journal of Immunology (1 paper)Molecular Neurobiology (1 paper)
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Shau‐Kwaun Chen
13 papers receiving 612 citations
Peers
Comparison fields: 5 of 79
- Neurology 205
- Developmental Neuroscience 94
- Biological Psychiatry 53
- Behavioral Neuroscience 47
- Cellular and Molecular Neuroscience 142
Countries citing papers authored by Shau‐Kwaun Chen
This map shows the geographic impact of Shau‐Kwaun Chen'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 Shau‐Kwaun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shau‐Kwaun Chen more than expected).
Fields of papers citing papers by Shau‐Kwaun Chen
This network shows the impact of papers produced by Shau‐Kwaun Chen. 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 Shau‐Kwaun Chen. The network helps show where Shau‐Kwaun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shau‐Kwaun Chen, 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 | 2010 | 357 | |
| 2 | 2002 | 94 | |
| 3 | 2015 | 60 | |
| 4 | 2003 | 38 | |
| 5 | 2021 | 22 | |
| 6 | 2001 | 17 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 8 | |
| 10 | 2022 | 6 | |
| 11 | 2025 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2017 | 1 | |
| 14 | 2013 | 0 |
About Shau‐Kwaun Chen
Shau‐Kwaun Chen is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Oncology, having authored 14 papers that have together received 632 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (4 papers), Neuroscience and Neuropharmacology Research (2 papers), T-cell and B-cell Immunology (2 papers), Bone health and treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Immune Cell Function and Interaction (2 papers), Estrogen and related hormone effects (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Neurology (205 citations), Developmental Neuroscience (94 citations), Biological Psychiatry (53 citations), Behavioral Neuroscience (47 citations) and Cellular and Molecular Neuroscience (142 citations). Shau‐Kwaun Chen has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Gerald J. Spangrude, Scott Cho, Petr Tvrdík, Mario R. Capecchi, Sen Wu, Yun‐Li Ma, Eminy H.Y. Lee, Kuen‐Jer Tsai, Wei‐Lun Hsu and Ying Yang. Their work appears in journals such as Molecular Biology Reports, Journal of Cellular Biochemistry, Acupuncture & Electro-Therapeutics Research, The Journal of Immunology and Molecular Neurobiology.
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.