Rick Moore
Impact in
- Pharmacology top 0.05%
- Pharmacogenetics and Drug Metabolism
-
- Hormonal Regulation and Hypertension
Papers in
- Pharmacology 25
- Pharmacogenetics and Drug Metabolism 25
-
- Hormonal Regulation and Hypertension 15
- Co-authors
- Masahiko Negishi (53 shared papers)Tatsuya Sueyoshi (23 shared papers)Takeshi Kawamoto (3 shared papers)Yukio Yamamoto (6 shared papers)Igor N. Zelko (2 shared papers)Edward L. LeCluyse (4 shared papers)Stephanie R. Faucette (4 shared papers)Robert R. Maronpot (2 shared papers)
- Journals
- Molecular Pharmacology (8 papers)Journal of Biological Chemistry (6 papers)Molecular and Cellular Biology (4 papers)PLoS ONE (4 papers)FEBS Letters (4 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Rick Moore
57 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 109
- Pharmacology 2.2k
- Endocrinology, Diabetes and Metabolism 1.2k
- Biochemistry 355
- Genetics 1.1k
- Oncology 945
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-authors
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
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 485 | |
| 2 | 2004 | 308 | |
| 3 | 2006 | 255 | |
| 4 | 2003 | 192 | |
| 5 | 2007 | 174 | |
| 6 | 2013 | 169 | |
| 7 | 2003 | 160 | |
| 8 | 1998 | 155 | |
| 9 | 2003 | 143 | |
| 10 | 2006 | 142 | |
| 11 | 2001 | 134 | |
| 12 | 2004 | 123 | |
| 13 | 2009 | 117 | |
| 14 | 2007 | 112 | |
| 15 | 1996 | 102 | |
| 16 | 2001 | 76 | |
| 17 | 1995 | 74 | |
| 18 | 2007 | 68 | |
| 19 | 2003 | 55 | |
| 20 | 2013 | 51 |
About Rick Moore
Rick Moore is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Genetics, Oncology and Molecular Biology, having authored 58 papers that have together received 3.8k 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), Adipose Tissue and Metabolism (6 papers), Genomics, phytochemicals, and oxidative stress (6 papers) and Heat shock proteins research (3 papers). The work is most often cited by research in Pharmacology (2.2k citations), Endocrinology, Diabetes and Metabolism (1.2k citations), Biochemistry (355 citations), Genetics (1.1k citations) and Oncology (945 citations). Rick Moore has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Masahiko Negishi, Tatsuya Sueyoshi, Takeshi Kawamoto, Yukio Yamamoto, Igor N. Zelko, Edward L. LeCluyse, Stephanie R. Faucette, Robert R. Maronpot, Paavo Honkakoski and Thomas L. Goldsworthy. Their work appears in journals such as Molecular Pharmacology, Journal of Biological Chemistry, Molecular and Cellular Biology, PLoS ONE and FEBS Letters.
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.