David D. Moore
- Pharmacology top 0.01%
- Pharmacogenetics and Drug Metabolism 36
- Oncology top 0.1%
- Drug Transport and Resistance Mechanisms 64
- Genetics top 0.05%
- Estrogen and related hormone effects 46
- Aging top 0.5%
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- Cholesterol and Lipid Metabolism 29
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- Liver Disease Diagnosis and Treatment 28
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- Retinoids in leukemia and cellular processes 26
- Peroxisome Proliferator-Activated Receptors 22
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- Nuclear Receptors and Signaling 22
- Co-authors
- Wendong HuangWongi SeolHueng-Sik ChoiDennis H. DowhanMohammed QatananiGregory A. BrentYoon‐Kwang LeeIphigenia Tzameli
- Journals
- Molecular Endocrinology (23 papers)Hepatology (19 papers)Journal of Biological Chemistry (18 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
David D. Moore
281 papers receiving 27.0k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Pharmacology 4.3k
- Endocrinology, Diabetes and Metabolism 5.0k
- Oncology 8.0k
- Genetics 6.5k
- Aging 400
Countries citing papers authored by David D. Moore
This map shows the geographic impact of David D. 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 D. 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 D. Moore more than expected).
Fields of papers citing papers by David D. Moore
This network shows the impact of papers produced by David D. 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 D. Moore. The network helps show where David D. Moore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David D. 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 | 31 | |
| 2 | 2022 | 35 | |
| 3 | 2022 | 9 | |
| 4 | 2021 | 36 | |
| 5 | 2021 | 43 | |
| 6 | 2021 | 23 | |
| 7 | 2021 | 61 | |
| 8 | 2020 | 13 | |
| 9 | 2018 | 16 | |
| 10 | 2018 | 19 | |
| 11 | 2017 | 32 | |
| 12 | 2016 | 24 | |
| 13 | 2015 | 106 | |
| 14 | 2011 | 104 | |
| 15 | 2008 | 133 | |
| 16 | 2007 | 63 | |
| 17 | 2007 | 393 | |
| 18 | 2002 | 437 | |
| 19 | 2000 | 249 | |
| 20 | 1998 | 124 |
About David D. Moore
David D. Moore is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 286 papers that have together received 27.8k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (64 papers), Estrogen and related hormone effects (46 papers), Pharmacogenetics and Drug Metabolism (36 papers), Cholesterol and Lipid Metabolism (29 papers), Liver Disease Diagnosis and Treatment (28 papers), Retinoids in leukemia and cellular processes (26 papers), Nuclear Receptors and Signaling (22 papers) and Peroxisome Proliferator-Activated Receptors (22 papers). The work is most often cited by research in Pharmacology (4.3k citations), Endocrinology, Diabetes and Metabolism (5.0k citations) and Oncology (8.0k citations). David D. Moore has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Wendong Huang, Wongi Seol, Hueng-Sik Choi, Dennis H. Dowhan, Mohammed Qatanani, Gregory A. Brent, Yoon‐Kwang Lee, Iphigenia Tzameli, John W. Harney and Ping Wei. Their work appears in journals such as Molecular Endocrinology, Hepatology, Journal of Biological Chemistry, Current Protocols in Molecular Biology and Science.
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.