Ying-Chen Yang
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
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- Biological and pharmacological studies of plants
- Cholinesterase and Neurodegenerative Diseases
Papers in
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- Peroxisome Proliferator-Activated Receptors 2
- Histone Deacetylase Inhibitors Research 2
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- Biological and pharmacological studies of plants 3
- Cholinesterase and Neurodegenerative Diseases 2
- Co-authors
- Nai-Kuei Huang (8 shared papers)Yi‐Chao Lee (7 shared papers)Chuen-Lin Huang (7 shared papers)Jing-Jane Tsai (1 shared paper)Yun-Lian Lin (3 shared papers)Chung‐Fen Tsai (1 shared paper)Jing‐Jy Cheng (2 shared papers)Wen‐Chang Chang (2 shared papers)
- Journals
- Evidence-based Complementary and Alternative Medicine (2 papers)Molecular Neurobiology (2 papers)Journal of Ethnopharmacology (2 papers)Toxicology (1 paper)European Journal of Medicinal Chemistry (1 paper)
- Partner nations
- TaiwanSouth KoreaChina
In The Last Decade
Ying-Chen Yang
13 papers receiving 324 citations
Peers
Comparison fields: 5 of 72
- Endocrine and Autonomic Systems 45
- Pharmacology 75
- Biological Psychiatry 9
- Neurology 29
- Cellular and Molecular Neuroscience 58
Countries citing papers authored by Ying-Chen Yang
This map shows the geographic impact of Ying-Chen 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 Ying-Chen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Chen Yang more than expected).
Fields of papers citing papers by Ying-Chen Yang
This network shows the impact of papers produced by Ying-Chen 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 Ying-Chen Yang. The network helps show where Ying-Chen Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying-Chen 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
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 49 | |
| 2 | 2015 | 45 | |
| 3 | 2011 | 44 | |
| 4 | 2012 | 39 | |
| 5 | 2020 | 39 | |
| 6 | 2011 | 32 | |
| 7 | 2016 | 17 | |
| 8 | 2013 | 13 | |
| 9 | 2018 | 12 | |
| 10 | 2000 | 12 | |
| 11 | 2018 | 12 | |
| 12 | 2012 | 8 | |
| 13 | 2013 | 6 |
About Ying-Chen Yang
Ying-Chen Yang is a scholar working on Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience, Surgery and Social Psychology, having authored 13 papers that have together received 328 indexed citations. Recurring topics across this work include Biological and pharmacological studies of plants (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Paraquat toxicity studies and treatments (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neuroendocrine regulation and behavior (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (45 citations), Pharmacology (75 citations), Biological Psychiatry (9 citations), Neurology (29 citations) and Cellular and Molecular Neuroscience (58 citations). Ying-Chen Yang has collaborated with scholars based in Taiwan, South Korea and China. Frequent co-authors include Nai-Kuei Huang, Yi‐Chao Lee, Chuen-Lin Huang, Jing-Jane Tsai, Yun-Lian Lin, Chung‐Fen Tsai, Jing‐Jy Cheng, Wen‐Chang Chang, Wei‐Jan Huang and Chih-Chang Chao. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Molecular Neurobiology, Journal of Ethnopharmacology, Toxicology and European Journal of Medicinal Chemistry.
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.