David T. Wong

4.3k citations
114 papers · 3.4k indexed · h-index 35

David T. Wong

104 papers receiving 3.2k citations

Peers

David T. Wong
Comparison fields: 5 of 139
  • Cellular and Molecular Neuroscience 1.6k
  • Biological Psychiatry 136
  • Anesthesiology and Pain Medicine 250
  • Behavioral Neuroscience 145
  • Pharmacology 477
Replace Paul R. Pentel with:
Paul R. Pentel United States
Pamela Flood United States
Barry A. Berkowitz United States
Johan Duflou Australia
Leon I. Goldberg United States
Edwin Zvartau Russia
Kazuyoshi Hirota Japan
Hiroaki Araki Japan
Margarita M. Puig Spain
James R. Docherty Ireland
David T. Wong relative to Paul R. Pentel United States Paul R. Pentel's profile →
Citations per field
00.5×2.7×
Paul R. Pentel · 1×
Citations per year

Countries citing papers authored by David T. Wong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside David T. Wong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David T. Wong Line = papers co-authored together David T. Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20234
3 20221
4 20211
5 20208
6 20201
7 20193
8 201817
9
The pursuit of bright smile : tooth whitening among Hong Kong young adults
20132
10 201127
11 200521
12 2002133
13 19992
14 199748
15 199511
16 1995103
17 199319
18 198960
19 198847
20 198868

About David T. Wong

David T. Wong is a scholar working on Cellular and Molecular Neuroscience, Anesthesiology and Pain Medicine and Critical Care and Intensive Care Medicine, having authored 114 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (35 papers), Receptor Mechanisms and Signaling (25 papers), Neuroscience and Neuropharmacology Research (20 papers), Airway Management and Intubation Techniques (10 papers), Tracheal and airway disorders (9 papers), Trauma and Emergency Care Studies (7 papers), Trauma Management and Diagnosis (6 papers) and Wound Healing and Treatments (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Biological Psychiatry (136 citations) and Anesthesiology and Pain Medicine (250 citations). David T. Wong has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ray W. Fuller, Kenneth W. Perry, Frank P. Bymaster, Leroy R. Reid, Jong S. Horng, David W. Robertson, Penny G. Threlkeld, William A. Knaus, Glenn McGuire and Frances Chung. Their work appears in journals such as Life Sciences, Canadian Journal of Anesthesia/Journal canadien d anesthésie, Biochemical Pharmacology, The American Surgeon and Journal of Neural Transmission.

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.

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