David D. Moore

38.1k citations
286 papers · 27.8k indexed · 8 hit papers · h-index 92

David D. Moore

281 papers receiving 27.0k citations

Hit Papers

Asprosin, a Fast...382197720261993200950010001.5k

Peers

David D. Moore
Comparison fields: 5 of 172
  • Pharmacology 4.3k
  • Endocrinology, Diabetes and Metabolism 5.0k
  • Oncology 8.0k
  • Genetics 6.5k
  • Aging 400
Replace Steven A. Kliewer with:
Steven A. Kliewer United States
Kristina Schoonjans Switzerland
Masahiko Negishi United States
David J. Mangelsdorf United States
Walter Wahli Switzerland
Michael Downes United States
Peter Tontonoz United States
Masato Kasuga Japan
Kenneth D.R. Setchell United States
Joyce J. Repa United States
David D. Moore relative to Steven A. Kliewer United States Steven A. Kliewer's profile →
Citations per field
00.5×1.5×
Steven A. Kliewer · 1×
Citations per year

Countries citing papers authored by David D. Moore

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 202331
2 202235
3 20229
4 202136
5 202143
6 202123
7 202161
8 202013
9 201816
10 201819
11 201732
12 201624
13 2015106
14 2011104
15 2008133
16 200763
17 2007393
18 2002437
19 2000249
20 1998124

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.

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