Dai Wang
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
-
- Schizophrenia research and treatment 4
- Dementia and Cognitive Impairment Research 2
-
- Mental Health Research Topics 3
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 1
- Co-authors
- Mark Curran (2 shared papers)Guang Chen (2 shared papers)Wayne C. Drevets (2 shared papers)Yu Sun (2 shared papers)Gayle Wittenberg (2 shared papers)Benjamin Hsu (2 shared papers)Annie Stylianou (1 shared paper)Yun Zhang (1 shared paper)
- Journals
- Journal of Alzheimer s Disease (2 papers)Pharmacogenetics and Genomics (1 paper)Schizophrenia (1 paper)Psychiatry Research (1 paper)Brain Behavior and Immunity (1 paper)
- Partner nations
- United StatesChinaBelgium
In The Last Decade
Dai Wang
13 papers receiving 418 citations
Peers
Comparison fields: 5 of 71
- Biological Psychiatry 148
- Behavioral Neuroscience 76
- Psychiatry and Mental health 77
- Neurology 32
- Applied Psychology 12
Countries citing papers authored by Dai Wang
This map shows the geographic impact of Dai 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 Dai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Wang more than expected).
Fields of papers citing papers by Dai Wang
This network shows the impact of papers produced by Dai 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 Dai Wang. The network helps show where Dai Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dai 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 137 | |
| 2 | 2017 | 77 | |
| 3 | 2013 | 46 | |
| 4 | 2017 | 38 | |
| 5 | 2013 | 36 | |
| 6 | 2018 | 22 | |
| 7 | 2015 | 22 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 14 | |
| 10 | 2015 | 13 | |
| 11 | 2018 | 8 | |
| 12 | 2002 | 1 | |
| 13 | 2017 | 1 | |
| 14 | 2020 | 0 |
About Dai Wang
Dai Wang is a scholar working on Psychiatry and Mental health, Experimental and Cognitive Psychology, Molecular Biology, Biological Psychiatry and Genetics, having authored 14 papers that have together received 431 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (4 papers), Mental Health Research Topics (3 papers), Dementia and Cognitive Impairment Research (2 papers), Tryptophan and brain disorders (2 papers), Adolescent and Pediatric Healthcare (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper). The work is most often cited by research in Biological Psychiatry (148 citations), Behavioral Neuroscience (76 citations), Psychiatry and Mental health (77 citations), Neurology (32 citations) and Applied Psychology (12 citations). Dai Wang has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Mark Curran, Guang Chen, Wayne C. Drevets, Yu Sun, Gayle Wittenberg, Benjamin Hsu, Annie Stylianou, Yun Zhang, Ashutosh Gupta and Edward T. Bullmore. Their work appears in journals such as Journal of Alzheimer s Disease, Pharmacogenetics and Genomics, Schizophrenia, Psychiatry Research and Brain Behavior and Immunity.
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.