Can Yang
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
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- Circular RNAs in diseases 2
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- Stress Responses and Cortisol 7
- Co-authors
- Huiling Wang (9 shared papers)Zhongchun Liu (10 shared papers)Gaohua Wang (12 shared papers)Xiaoping Wang (2 shared papers)Peijian Chen (3 shared papers)Luxin Li (3 shared papers)Jieting Liu (3 shared papers)Yanhui Chu (3 shared papers)
- Journals
- Behavioural Brain Research (2 papers)Physiology & Behavior (1 paper)Scientific Reports (1 paper)The Science of The Total Environment (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Can Yang
28 papers receiving 437 citations
Peers
Comparison fields: 5 of 91
- Biological Psychiatry 83
- Behavioral Neuroscience 100
- Developmental Neuroscience 25
- Clinical Psychology 73
- Neurology 25
Countries citing papers authored by Can Yang
This map shows the geographic impact of Can 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 Can Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Yang more than expected).
Fields of papers citing papers by Can Yang
This network shows the impact of papers produced by Can 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 Can Yang. The network helps show where Can Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Can 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
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 59 | |
| 2 | 2009 | 54 | |
| 3 | 2023 | 40 | |
| 4 | 2018 | 36 | |
| 5 | 2011 | 33 | |
| 6 | 2023 | 33 | |
| 7 | 2013 | 25 | |
| 8 | 2021 | 17 | |
| 9 | 2020 | 16 | |
| 10 | 2023 | 13 | |
| 11 | 2014 | 13 | |
| 12 | 2023 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2024 | 12 | |
| 15 | 2012 | 9 | |
| 16 | 2013 | 9 | |
| 17 | 2023 | 8 | |
| 18 | Hypothalamic gastrin-releasing peptide receptor mediates an antidepressant-like effect in a mouse model of stress. | 2016 | 8 |
| 19 | 2022 | 7 | |
| 20 | 2020 | 6 |
About Can Yang
Can Yang is a scholar working on Molecular Biology, Behavioral Neuroscience, Cellular and Molecular Neuroscience, Biological Psychiatry and Developmental Neuroscience, having authored 30 papers that have together received 443 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (7 papers), Tryptophan and brain disorders (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Hormonal Regulation and Hypertension (3 papers), Nerve injury and regeneration (2 papers), Alzheimer's disease research and treatments (2 papers), Environmental Toxicology and Ecotoxicology (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Biological Psychiatry (83 citations), Behavioral Neuroscience (100 citations), Developmental Neuroscience (25 citations), Clinical Psychology (73 citations) and Neurology (25 citations). Can Yang has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Huiling Wang, Zhongchun Liu, Gaohua Wang, Xiaoping Wang, Peijian Chen, Luxin Li, Jieting Liu, Yanhui Chu, Ling Xiao and Zheman Xiao. Their work appears in journals such as Behavioural Brain Research, Physiology & Behavior, Scientific Reports, The Science of The Total Environment and 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.