Dong V. Wang
Impact in
-
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
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- Memory and Neural Mechanisms 10
- Neural dynamics and brain function 6
- Sleep and Wakefulness Research 4
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- Neuroscience and Neuropharmacology Research 8
- Neurotransmitter Receptor Influence on Behavior 4
- Co-authors
- Joe Z. Tsien (2 shared papers)Satoshi Ikemoto (6 shared papers)Hau‐Jie Yau (2 shared papers)Antonello Bonci (2 shared papers)Longnian Lin (2 shared papers)Jun Liu (2 shared papers)Andrew J. Kesner (3 shared papers)Lu Zhang (1 shared paper)
- Journals
- Cell Reports (3 papers)PLoS ONE (3 papers)Journal of Neuroscience (2 papers)Nature Communications (2 papers)iScience (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Dong V. Wang
16 papers receiving 621 citations
Peers
Comparison fields: 5 of 69
- Cellular and Molecular Neuroscience 417
- Behavioral Neuroscience 77
- Cognitive Neuroscience 361
- Endocrine and Autonomic Systems 58
- Social Psychology 124
Countries citing papers authored by Dong V. Wang
This map shows the geographic impact of Dong V. 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 Dong V. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong V. Wang more than expected).
Fields of papers citing papers by Dong V. Wang
This network shows the impact of papers produced by Dong V. 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 Dong V. Wang. The network helps show where Dong V. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong V. 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 | 2011 | 89 | |
| 2 | 2015 | 88 | |
| 3 | 2021 | 70 | |
| 4 | 2011 | 62 | |
| 5 | 2020 | 59 | |
| 6 | 2011 | 40 | |
| 7 | 2020 | 38 | |
| 8 | 2014 | 37 | |
| 9 | 2017 | 34 | |
| 10 | 2020 | 33 | |
| 11 | 2016 | 26 | |
| 12 | 2021 | 24 | |
| 13 | 2021 | 12 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 2 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 |
About Dong V. Wang
Dong V. Wang is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Social Psychology and Behavioral Neuroscience, having authored 18 papers that have together received 627 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Neural dynamics and brain function (6 papers), Receptor Mechanisms and Signaling (5 papers), Sleep and Wakefulness Research (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Neuroendocrine regulation and behavior (4 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (417 citations), Behavioral Neuroscience (77 citations), Cognitive Neuroscience (361 citations), Endocrine and Autonomic Systems (58 citations) and Social Psychology (124 citations). Dong V. Wang has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Joe Z. Tsien, Satoshi Ikemoto, Hau‐Jie Yau, Antonello Bonci, Longnian Lin, Jun Liu, Andrew J. Kesner, Lu Zhang, Fang Wang and Zhiru Wang. Their work appears in journals such as Cell Reports, PLoS ONE, Journal of Neuroscience, Nature Communications and iScience.
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.