David E. Moller
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- Diabetes Treatment and Management 15
- Physiology top 0.1%
- Adipose Tissue and Metabolism 53
- Molecular Biology top 0.1%
- Metabolism, Diabetes, and Cancer 66
- Peroxisome Proliferator-Activated Receptors 62
- Protein Kinase Regulation and GTPase Signaling 14
- Receptor Mechanisms and Signaling 12
- Biochemistry top 0.1%
- Endocrine and Autonomic Systems top 0.5%
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- Pancreatic function and diabetes 32
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- Adipokines, Inflammation, and Metabolic Diseases 20
- Co-authors
- Joel P. BergerJeffrey S. FlierGaochao ZhouThomas W. DoebberLaurie J. GoodyearMargaret WuJohn VentreYuli Chen
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
David E. Moller
167 papers receiving 25.4k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Endocrinology, Diabetes and Metabolism 5.8k
- Physiology 6.9k
- Molecular Biology 17.1k
- Biochemistry 1.6k
- Endocrine and Autonomic Systems 1.0k
Countries citing papers authored by David E. Moller
This map shows the geographic impact of David E. Moller'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 E. Moller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Moller more than expected).
Fields of papers citing papers by David E. Moller
This network shows the impact of papers produced by David E. Moller. 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 E. Moller. The network helps show where David E. Moller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David E. Moller, 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 | 47 | |
| 2 | 2023 | 17 | |
| 3 | 2022 | 10 | |
| 4 | 2021 | 59 | |
| 5 | 2021 | 34 | |
| 6 | 2020 | 127 | |
| 7 | 2008 | 159 | |
| 8 | 2005 | 15 | |
| 9 | 2002 | 105 | |
| 10 | 2001 | 406 | |
| 11 | 2001 | 1 | |
| 12 | 2001 | 31 | |
| 13 | 2000 | 170 | |
| 14 | 1999 | 134 | |
| 15 | 1999 | 499 | |
| 16 | 1998 | 245 | |
| 17 | 1996 | 44 | |
| 18 | 1995 | 95 | |
| 19 | 1995 | 120 | |
| 20 | 1988 | 35 |
About David E. Moller
David E. Moller is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 169 papers that have together received 26.2k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (66 papers), Peroxisome Proliferator-Activated Receptors (62 papers), Adipose Tissue and Metabolism (53 papers), Pancreatic function and diabetes (32 papers), Adipokines, Inflammation, and Metabolic Diseases (20 papers), Diabetes Treatment and Management (15 papers), Protein Kinase Regulation and GTPase Signaling (14 papers) and Receptor Mechanisms and Signaling (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (5.8k citations), Physiology (6.9k citations) and Molecular Biology (17.1k citations). David E. Moller has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Joel P. Berger, Jeffrey S. Flier, Gaochao Zhou, Thomas W. Doebber, Laurie J. Goodyear, Margaret Wu, John Ventre, Yuli Chen, Nicolas Musi and Michael F. Hirshman. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Endocrinology, Bioorganic & Medicinal Chemistry Letters and The Journal of Clinical Endocrinology & Metabolism.
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.