Wei Don
Impact in
- Pharmacology top 5%
- Cannabis and Cannabinoid Research
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
Papers in ⓘ
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- Cannabis and Cannabinoid Research 6
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- Neuroendocrine regulation and behavior 5
- Co-authors
- Daniele Piomelli (6 shared papers)DaYeon Lee (3 shared papers)Christine M. Gall (2 shared papers)Olga Peñagarikano (1 shared paper)Conor D. Cox (1 shared paper)Carley A. Karsten (1 shared paper)Daniel H. Geschwind (1 shared paper)Stephen A. Allsop (1 shared paper)
- Journals
- Journal of Cellular Biochemistry (1 paper)Cannabis and Cannabinoid Research (1 paper)Nature (1 paper)Psychopharmacology (1 paper)Journal of Materials Chemistry (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Wei Don
17 papers receiving 581 citations
Peers
Comparison fields: 5 of 96
- Pharmacology 244
- Endocrine and Autonomic Systems 68
- Behavioral Neuroscience 33
- Social Psychology 171
- Cellular and Molecular Neuroscience 150
Countries citing papers authored by Wei Don
This map shows the geographic impact of Wei Don'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 Wei Don with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Don more than expected).
Fields of papers citing papers by Wei Don
This network shows the impact of papers produced by Wei Don. 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 Wei Don. The network helps show where Wei Don may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Don, 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 | 2015 | 161 | |
| 2 | 2016 | 95 | |
| 3 | 2017 | 73 | |
| 4 | 2020 | 61 | |
| 5 | 2012 | 46 | |
| 6 | 2019 | 37 | |
| 7 | 2015 | 33 | |
| 8 | 2016 | 31 | |
| 9 | 2015 | 25 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 5 | |
| 12 | The ecology and environment monitoring technical systems in national large-scale coal-fired power base: a case study in Xilingol League,Inner Mongolia | 2014 | 5 |
| 13 | 2015 | 3 | |
| 14 | 2025 | 2 | |
| 15 | The population affinity of ancient Yanbulake People | 2009 | 2 |
| 16 | Analysis of the Systematic Construction of Urban Greenery in Suining | 2015 | 1 |
| 17 | Endovascular stent-graft treatment of acute or chronic Stanford type B aortic dissection in 68 cases | 2007 | 1 |
About Wei Don
Wei Don is a scholar working on Pharmacology, Social Psychology, Cellular and Molecular Neuroscience, Molecular Biology and Endocrine and Autonomic Systems, having authored 17 papers that have together received 588 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (6 papers), Neuroendocrine regulation and behavior (5 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Neuroscience of respiration and sleep (3 papers), Neural dynamics and brain function (2 papers), Pancreatic function and diabetes (1 paper), MicroRNA in disease regulation (1 paper) and Alcohol Consumption and Health Effects (1 paper). The work is most often cited by research in Pharmacology (244 citations), Endocrine and Autonomic Systems (68 citations), Behavioral Neuroscience (33 citations), Social Psychology (171 citations) and Cellular and Molecular Neuroscience (150 citations). Wei Don has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Daniele Piomelli, DaYeon Lee, Christine M. Gall, Olga Peñagarikano, Conor D. Cox, Carley A. Karsten, Daniel H. Geschwind, Stephen A. Allsop, Kay M. Tye and Dandan Li. Their work appears in journals such as Journal of Cellular Biochemistry, Cannabis and Cannabinoid Research, Nature, Psychopharmacology and Journal of Materials 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.