Vu C. Dang
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
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- Pain Mechanisms and Treatments
Papers in
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- Receptor Mechanisms and Signaling 7
- Pharmacological Receptor Mechanisms and Effects 3
- Ion channel regulation and function 1
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- Neuropeptides and Animal Physiology 8
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- MacDonald J. Christie (4 shared papers)John T. Williams (3 shared papers)Mark von Zastrow (2 shared papers)Billy Chieng (2 shared papers)Abdallah Salem (1 shared paper)Seksiri Arttamangkul (1 shared paper)Jennifer L. Whistler (1 shared paper)Veronica A. Alvarez (1 shared paper)
- Journals
- Journal of Neuroscience (4 papers)Molecular Pharmacology (2 papers)American Journal of Psychiatry (1 paper)British Journal of Pharmacology (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Vu C. Dang
8 papers receiving 569 citations
Peers
Comparison fields: 5 of 54
- Cellular and Molecular Neuroscience 471
- Physiology 175
- Biological Psychiatry 16
- Molecular Biology 431
- Anesthesiology and Pain Medicine 26
Countries citing papers authored by Vu C. Dang
This map shows the geographic impact of Vu C. Dang'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 Vu C. Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vu C. Dang more than expected).
Fields of papers citing papers by Vu C. Dang
This network shows the impact of papers produced by Vu C. Dang. 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 Vu C. Dang. The network helps show where Vu C. Dang may publish in the future.
Co-authors
The 19 scholars most cited alongside Vu C. Dang, 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 | 2002 | 142 | |
| 2 | 2011 | 137 | |
| 3 | 2004 | 62 | |
| 4 | 2011 | 60 | |
| 5 | 2010 | 54 | |
| 6 | 2005 | 51 | |
| 7 | 2009 | 46 | |
| 8 | 2012 | 22 |
About Vu C. Dang
Vu C. Dang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Physiology and Infectious Diseases, having authored 8 papers that have together received 574 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), Receptor Mechanisms and Signaling (7 papers), Neuroscience and Neuropharmacology Research (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Pain Mechanisms and Treatments (1 paper), Ion channel regulation and function (1 paper) and Treatment of Major Depression (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (471 citations), Physiology (175 citations), Biological Psychiatry (16 citations), Molecular Biology (431 citations) and Anesthesiology and Pain Medicine (26 citations). Vu C. Dang has collaborated with scholars based in United States and Australia. Frequent co-authors include MacDonald J. Christie, John T. Williams, Mark von Zastrow, Billy Chieng, Abdallah Salem, Seksiri Arttamangkul, Jennifer L. Whistler, Veronica A. Alvarez, David K. Grandy and Ian A. Napier. Their work appears in journals such as Journal of Neuroscience, Molecular Pharmacology, American Journal of Psychiatry and British Journal of Pharmacology.
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.