Rick Moore
- Pharmacology top 0.05%
- Pharmacogenetics and Drug Metabolism 25
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- Hormonal Regulation and Hypertension 15
- Biochemistry top 1%
- Eicosanoids and Hypertension Pharmacology 4
- Genetics top 2%
- Estrogen and related hormone effects 16
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 14
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- Receptor Mechanisms and Signaling 7
- Genomics, phytochemicals, and oxidative stress 6
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- Adipose Tissue and Metabolism 6
- Co-authors
- Masahiko NegishiTatsuya SueyoshiTakeshi KawamotoYukio YamamotoIgor N. ZelkoStephanie FaucetteRobert R. MaronpotEdward L. LeCluyse
- Journals
- Molecular Pharmacology (8 papers)Journal of Biological Chemistry (6 papers)Molecular and Cellular Biology (4 papers)
- Partner nations
- United StatesJapanFinland
In The Last Decade
Rick Moore
56 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 110
- Pharmacology 2.1k
- Endocrinology, Diabetes and Metabolism 1.2k
- Biochemistry 358
- Genetics 1.1k
- Oncology 964
Countries citing papers authored by Rick Moore
This map shows the geographic impact of Rick 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 Rick Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rick Moore more than expected).
Fields of papers citing papers by Rick Moore
This network shows the impact of papers produced by Rick 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 Rick Moore. The network helps show where Rick Moore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rick 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2020 | 15 | |
| 4 | 2020 | 14 | |
| 5 | 2019 | 9 | |
| 6 | 2018 | 16 | |
| 7 | 2016 | 16 | |
| 8 | 2013 | 11 | |
| 9 | 2013 | 48 | |
| 10 | 2011 | 49 | |
| 11 | 2011 | 11 | |
| 12 | 2009 | 10 | |
| 13 | 2008 | 24 | |
| 14 | 2006 | 31 | |
| 15 | 2005 | 18 | |
| 16 | 2004 | 117 | |
| 17 | 2003 | 138 | |
| 18 | 2003 | 151 | |
| 19 | 2002 | 16 | |
| 20 | 1998 | 146 |
About Rick Moore
Rick Moore is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 57 papers that have together received 3.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (25 papers), Estrogen and related hormone effects (16 papers), Hormonal Regulation and Hypertension (15 papers), Drug Transport and Resistance Mechanisms (14 papers), Receptor Mechanisms and Signaling (7 papers), Genomics, phytochemicals, and oxidative stress (6 papers), Adipose Tissue and Metabolism (6 papers) and Eicosanoids and Hypertension Pharmacology (4 papers). The work is most often cited by research in Pharmacology (2.1k citations), Endocrinology, Diabetes and Metabolism (1.2k citations) and Biochemistry (358 citations). Rick Moore has collaborated with scholars based in United States, Japan and Finland. Frequent co-authors include Masahiko Negishi, Tatsuya Sueyoshi, Takeshi Kawamoto, Yukio Yamamoto, Igor N. Zelko, Stephanie Faucette, Robert R. Maronpot, Edward L. LeCluyse, Paavo Honkakoski and Thomas L. Goldsworthy. Their work appears in journals such as Molecular Pharmacology, Journal of Biological Chemistry, Molecular and Cellular Biology, FEBS Letters and PLoS ONE.
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.