Rick Moore

4.3k citations
57 papers · 3.6k · h-index 28

Impact in

Papers in

    • Pharmacogenetics and Drug Metabolism 25
    • Receptor Mechanisms and Signaling 7
    • Genomics, phytochemicals, and oxidative stress 6
    • Heat shock proteins research 3

Rick Moore

56 papers receiving 3.6k citations

Peers

Rick Moore
Comparison fields: 5 of 109
  • Pharmacology 2.1k
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Biochemistry 335
  • Genetics 1.0k
  • Oncology 890
Replace Sabine Gerbal‐Chaloin with:
Sabine Gerbal‐Chaloin France
Kouichi Yoshinari Japan
Dean W. Hum Canada
Tatsuya Sueyoshi United States
Randy K. Bledsoe United States
Marie‐José Vilarem France
Jodi M. Maglich United States
Thomas A. Kocarek United States
Martine Daujat‐Chavanieu France
Joyce L. Barwick United States
Rick Moore relative to Sabine Gerbal‐Chaloin France Sabine Gerbal‐Chaloin's profile →
Citations per field
00.5×1.5×2.1×
Sabine Gerbal‐Chaloin · 1×
Citations per year

Countries citing papers authored by Rick Moore

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999460
2 2004291
3 2006239
4 2003180
5 2007167
6 2013156
7 2003151
8 1998146
9 2003138
10 2006134
11 2001128
12 2004118
13 2009111
14 2007108
15 1996100
16 199575
17 200171
18 200763
19 200354
20 201051

About Rick Moore

Rick Moore is a scholar working on Pharmacology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics 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 Heat shock proteins research (3 papers). The work is most often cited by research in Pharmacology (2.1k citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Biochemistry (335 citations), Genetics (1.0k citations) and Oncology (890 citations). Rick Moore has collaborated with scholars based in United States, Japan and Sri Lanka. Frequent co-authors include Masahiko Negishi, Tatsuya Sueyoshi, Takeshi Kawamoto, Yukio Yamamoto, Igor N. Zelko, Robert R. Maronpot, Edward L. LeCluyse, Stephanie Faucette, Paavo Honkakoski and Kaoru Kobayashi. Their work appears in journals such as Molecular Pharmacology, Journal of Biological Chemistry, PLoS ONE, Molecular and Cellular Biology 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.

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