David T. Yeung
- Clinical Biochemistry top 2%
- Paraoxonase enzyme and polymorphisms 4
- Plant Science top 5%
- Pesticide Exposure and Toxicity 24
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases 8
- Chemical Health and Safety top 10%
- Biochemistry top 10%
- Biochemical Acid Research Studies 4
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- Environmental Toxicology and Ecotoxicology 7
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- Immunotoxicology and immune responses 4
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- Carcinogens and Genotoxicity Assessment 4
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- Insect and Pesticide Research 4
- Co-authors
- David E. LenzDouglas M. CerasoliDavid A. JettJames R. SmithRichard E. SweeneyGennady E. PlatoffLucille A. LumleyKarin Coyle
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Biochemistry (1 paper)Neuroscience (2 papers)
- Partner nations
- United StatesHong KongCanada
In The Last Decade
David T. Yeung
31 papers receiving 722 citations
Peers
Comparison fields: 5 of 108
- Clinical Biochemistry 161
- Plant Science 420
- Pharmacology 188
- Chemical Health and Safety 7
- Biochemistry 75
Countries citing papers authored by David T. Yeung
This map shows the geographic impact of David T. Yeung'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. Yeung 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. Yeung more than expected).
Fields of papers citing papers by David T. Yeung
This network shows the impact of papers produced by David T. Yeung. 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. Yeung. The network helps show where David T. Yeung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David T. Yeung, 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 | 2024 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 0 | |
| 7 | 2020 | 3 | |
| 8 | 2019 | 19 | |
| 9 | 2019 | 18 | |
| 10 | 2018 | 7 | |
| 11 | 2018 | 11 | |
| 12 | 2014 | 3 | |
| 13 | Tackling Traffic Noise Through Plenum Windows - An Application in Hong Kong | 2014 | 0 |
| 14 | 2013 | 7 | |
| 15 | 2010 | 41 | |
| 16 | 2008 | 20 | |
| 17 | 2007 | 33 | |
| 18 | 2006 | 162 | |
| 19 | 2005 | 52 | |
| 20 | 2004 | 60 |
About David T. Yeung
David T. Yeung is a scholar working on Chemical Health and Safety, Plant Science and Clinical Biochemistry, having authored 37 papers that have together received 741 indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (24 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Environmental Toxicology and Ecotoxicology (7 papers), Immunotoxicology and immune responses (4 papers), Carcinogens and Genotoxicity Assessment (4 papers), Insect and Pesticide Research (4 papers), Paraoxonase enzyme and polymorphisms (4 papers) and Biochemical Acid Research Studies (4 papers). The work is most often cited by research in Clinical Biochemistry (161 citations), Plant Science (420 citations) and Pharmacology (188 citations). David T. Yeung has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include David E. Lenz, Douglas M. Cerasoli, David A. Jett, James R. Smith, Richard E. Sweeney, Gennady E. Platoff, Lucille A. Lumley, Karin Coyle, Vignetta Charles and Michael C. Babin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemistry and Neuroscience.
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.