David Moore
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
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- Estrogen and related hormone effects
Papers in
-
- Pharmacogenetics and Drug Metabolism 5
- Pharmacological Effects of Natural Compounds 3
- Phytochemistry and Bioactivity Studies 2
- Co-authors
- George M. Orphanides (4 shared papers)Ian Kimber (4 shared papers)Fei-Ling Lim (4 shared papers)Jonathan G. Moggs (4 shared papers)Ruth Stuckey (3 shared papers)John Ashby (3 shared papers)H. Tinwell (3 shared papers)G. Gordon Gibson (1 shared paper)
- Journals
- Environmental Health Perspectives (3 papers)Drug Metabolism and Disposition (2 papers)Xenobiotica (2 papers)Cancer Chemotherapy and Pharmacology (2 papers)SpringerPlus (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
David Moore
27 papers receiving 761 citations
Peers
Comparison fields: 5 of 90
- Pharmacology 178
- Genetics 156
- Health, Toxicology and Mutagenesis 70
- Genetics 49
- Molecular Biology 288
Countries citing papers authored by David Moore
This map shows the geographic impact of David Moore'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 Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Moore more than expected).
Fields of papers citing papers by David Moore
This network shows the impact of papers produced by David Moore. 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 Moore. The network helps show where David Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside David Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 91 | |
| 2 | 2005 | 77 | |
| 3 | 2004 | 71 | |
| 4 | 2000 | 67 | |
| 5 | 2000 | 59 | |
| 6 | 2004 | 58 | |
| 7 | 2019 | 58 | |
| 8 | 2016 | 56 | |
| 9 | 2003 | 41 | |
| 10 | 2016 | 34 | |
| 11 | 2021 | 30 | |
| 12 | 2011 | 24 | |
| 13 | 2018 | 17 | |
| 14 | 1985 | 17 | |
| 15 | 2015 | 15 | |
| 16 | 2013 | 12 | |
| 17 | 2011 | 10 | |
| 18 | 1988 | 10 | |
| 19 | 2017 | 9 | |
| 20 | 1986 | 6 |
About David Moore
David Moore is a scholar working on Molecular Biology, Pharmacology, Genetics, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 785 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Estrogen and related hormone effects (5 papers), Genomics and Rare Diseases (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Phytochemistry and Bioactivity Studies (2 papers), Analytical Chemistry and Chromatography (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Pharmacology (178 citations), Genetics (156 citations), Health, Toxicology and Mutagenesis (70 citations), Genetics (49 citations) and Molecular Biology (288 citations). David Moore has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include George M. Orphanides, Ian Kimber, Fei-Ling Lim, Jonathan G. Moggs, Ruth Stuckey, John Ashby, H. Tinwell, G. Gordon Gibson, Wafaa El-Sankary and Nick Plant. Their work appears in journals such as Environmental Health Perspectives, Drug Metabolism and Disposition, Xenobiotica, Cancer Chemotherapy and Pharmacology and SpringerPlus.
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.