David T. Wong
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 5%
- Psychiatry and Mental health top 1%
- Pharmacology top 1%
- Organic Chemistry top 5%
- Co-authors
- Frank P. BymasterEric A. EnglemanKenneth W. PerryJong S. HorngDavid O. CalligaroNicholas MooreJulie F. FalconeN.C. Tye
- Topics
- Neurotransmitter Receptor Influence on Behavior (16 papers)Treatment of Major Depression (12 papers)Receptor Mechanisms and Signaling (8 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
David T. Wong
46 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Cellular and Molecular Neuroscience 1.7k
- Molecular Biology 1.5k
- Psychiatry and Mental health 819
- Pharmacology 777
- Organic Chemistry 488
Countries citing papers authored by David T. Wong
This map shows the geographic impact of David T. Wong'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 David T. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Wong more than expected).
Fields of papers citing papers by David T. Wong
This network shows the impact of papers produced by David T. Wong. 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 David T. Wong. The network helps show where David T. Wong may publish in the future.
Co-authorship network of co-authors of David T. Wong
This figure shows the co-authorship network connecting the top 25 collaborators of David T. Wong. A scholar is included among the top collaborators of David T. Wong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David T. Wong. David T. Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 10 | |
| 3 | 311 | |
| 4 | 17 | |
| 5 | 30 | |
| 6 | 18 | |
| 7 | 45 | |
| 8 | 20 | |
| 9 | 93 | |
| 10 | 92 | |
| 11 | 2 | |
| 12 | Radioreceptor Binding Profile of the Atypical Antipsychotic Olanzapinebreakdown → | 855 |
| 13 | Prozac (fluoxetine, lilly 110140), the first selective serotonin uptake inhibitor and an antidepressant drug: Twenty years since its first publicationbreakdown → | 552 |
| 14 | 50 | |
| 15 | 187 | |
| 16 | 14 | |
| 17 | 49 | |
| 18 | 70 | |
| 19 | 160 | |
| 20 | 36 |
About David T. Wong
David T. Wong is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Organic Chemistry, having authored 47 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (16 papers), Treatment of Major Depression (12 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Biological Psychiatry (277 citations), Cellular and Molecular Neuroscience (1.7k citations) and Psychiatry and Mental health (819 citations). David T. Wong has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Frank P. Bymaster, Frank P. Bymaster, Eric A. Engleman, Kenneth W. Perry, Jong S. Horng, David O. Calligaro, Nicholas Moore, Julie F. Falcone, N.C. Tye and Philip Seeman. Their work appears in journals such as Nature, Science and Nature Reviews Drug Discovery.
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.