Shao‐Ming Wang
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Pharmacological Receptor Mechanisms and Effects 6
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- Neuroinflammation and Neurodegeneration Mechanisms 6
- Co-authors
- Ju-Ming Wang (9 shared papers)Chiung‐Yuan Ko (11 shared papers)Yu‐Yi Chu (4 shared papers)Tsung‐Ping Su (7 shared papers)Wen‐Chang Chang (3 shared papers)Hsiang-En Wu (6 shared papers)Hong-Yi Lin (3 shared papers)Yuko Yasui (3 shared papers)
- Journals
- Molecular Neurobiology (6 papers)Journal of Neuroinflammation (2 papers)Redox Biology (2 papers)Neurobiology of Aging (2 papers)Nature Communications (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Shao‐Ming Wang
26 papers receiving 632 citations
Peers
Comparison fields: 5 of 83
- Biological Psychiatry 40
- Neurology 60
- Cancer Research 104
- Physiology 25
- Molecular Biology 339
Countries citing papers authored by Shao‐Ming Wang
This map shows the geographic impact of Shao‐Ming 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‐Ming 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‐Ming Wang more than expected).
Fields of papers citing papers by Shao‐Ming Wang
This network shows the impact of papers produced by Shao‐Ming 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‐Ming Wang. The network helps show where Shao‐Ming Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shao‐Ming 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 67 | |
| 2 | 2015 | 51 | |
| 3 | 2022 | 46 | |
| 4 | 2013 | 44 | |
| 5 | 2013 | 42 | |
| 6 | 2014 | 38 | |
| 7 | 2020 | 36 | |
| 8 | 2018 | 36 | |
| 9 | 2020 | 35 | |
| 10 | 2014 | 32 | |
| 11 | 2017 | 28 | |
| 12 | 2021 | 28 | |
| 13 | 2015 | 26 | |
| 14 | 2019 | 23 | |
| 15 | 2015 | 21 | |
| 16 | 2012 | 20 | |
| 17 | 2021 | 13 | |
| 18 | 2014 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2023 | 9 |
About Shao‐Ming Wang
Shao‐Ming Wang is a scholar working on Molecular Biology, Neurology, Pharmacology, Cellular and Molecular Neuroscience and Physiology, having authored 27 papers that have together received 637 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Pharmacological Receptor Mechanisms and Effects (6 papers), MicroRNA in disease regulation (4 papers), Biomarkers in Disease Mechanisms (3 papers), Alzheimer's disease research and treatments (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Tryptophan and brain disorders (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Biological Psychiatry (40 citations), Neurology (60 citations), Cancer Research (104 citations), Physiology (25 citations) and Molecular Biology (339 citations). Shao‐Ming Wang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Ju-Ming Wang, Chiung‐Yuan Ko, Yu‐Yi Chu, Tsung‐Ping Su, Wen‐Chang Chang, Hsiang-En Wu, Hong-Yi Lin, Yuko Yasui, Tangui Maurice and Li‐Yeh Chuang. Their work appears in journals such as Molecular Neurobiology, Journal of Neuroinflammation, Redox Biology, Neurobiology of Aging 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.