Wei Don
Impact in
- Pharmacology top 5%
- Cannabis and Cannabinoid Research
- Social Psychology top 10%
- Neuroendocrine regulation and behavior
Papers in
-
- Cannabis and Cannabinoid Research 7
-
- Neuroendocrine regulation and behavior 2
- Co-authors
- Daniele Piomelli (6 shared papers)Christine M. Gall (2 shared papers)Daniel H. Geschwind (1 shared paper)Olga Peñagarikano (1 shared paper)Carley A. Karsten (1 shared paper)Conor D. Cox (1 shared paper)Stephen A. Allsop (2 shared papers)Kay M. Tye (1 shared paper)
- Journals
- Neurobiology of Disease (1 paper)Trends in Neurosciences (1 paper)Genes (1 paper)Psychopharmacology (1 paper)Neuron (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Wei Don
17 papers receiving 607 citations
Peers
Comparison fields: 5 of 87
- Pharmacology 269
- Social Psychology 116
- Cognitive Neuroscience 105
- Cellular and Molecular Neuroscience 63
- Behavioral Neuroscience 11
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 | 174 | |
| 2 | 2016 | 101 | |
| 3 | 2017 | 80 | |
| 4 | 2020 | 66 | |
| 5 | 2012 | 50 | |
| 6 | 2015 | 35 | |
| 7 | 2016 | 33 | |
| 8 | 2015 | 28 | |
| 9 | 2019 | 12 | |
| 10 | 2021 | 12 | |
| 11 | The ecology and environment monitoring technical systems in national large-scale coal-fired power base: a case study in Xilingol League,Inner Mongolia | 2014 | 6 |
| 12 | 2015 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2025 | 3 | |
| 15 | The population affinity of ancient Yanbulake People | 2009 | 2 |
| 16 | Endovascular stent-graft treatment of acute or chronic Stanford type B aortic dissection in 68 cases | 2007 | 1 |
| 17 | Analysis of the Systematic Construction of Urban Greenery in Suining | 2015 | 1 |
| 18 | Demonstration Project of 35 kV 2000 A Cold Dielectric High Temperature Superconductive Power Cable System | 2015 | 0 |
About Wei Don
Wei Don is a scholar working on Pharmacology, Social Psychology, Cognitive Neuroscience, Sensory Systems and Geology, having authored 18 papers that have together received 614 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (7 papers), Neuroendocrine regulation and behavior (2 papers), Nonlinear Optical Materials Studies (1 paper), Coenzyme Q10 studies and effects (1 paper), Environmental Monitoring and Data Management (1 paper), Luminescence and Fluorescent Materials (1 paper), Neural dynamics and brain function (1 paper) and Wireless Sensor Networks and IoT (1 paper). The work is most often cited by research in Pharmacology (269 citations), Social Psychology (116 citations), Cognitive Neuroscience (105 citations), Cellular and Molecular Neuroscience (63 citations) and Behavioral Neuroscience (11 citations). Wei Don has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Daniele Piomelli, Christine M. Gall, Daniel H. Geschwind, Olga Peñagarikano, Carley A. Karsten, Conor D. Cox, Stephen A. Allsop, Kay M. Tye, Dandan Li and Guillermo Moreno‐Sanz. Their work appears in journals such as Neurobiology of Disease, Trends in Neurosciences, Genes, Psychopharmacology and Neuron.
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.