David J. Pedersen
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
- Physiology top 5%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
-
- Adipose Tissue and Metabolism 9
-
- Metabolism, Diabetes, and Cancer 5
- Protein Kinase Regulation and GTPase Signaling 2
- Co-authors
- Michael Czech (7 shared papers)Myriam Aouadi (2 shared papers)Michaela Tencerová (2 shared papers)Adı́lson Guilherme (5 shared papers)Laura V. Danai (3 shared papers)Vernon G. Coffey (3 shared papers)John A. Hawley (3 shared papers)Jason K. Kim (3 shared papers)
- Journals
- Diabetologia (3 papers)Molecular Metabolism (3 papers)Journal of Applied Physiology (2 papers)Cell Metabolism (1 paper)Medicine & Science in Sports & Exercise (1 paper)
- Partner nations
- AustraliaUnited StatesNorway
In The Last Decade
David J. Pedersen
14 papers receiving 775 citations
Peers
Comparison fields: 5 of 83
- Biochemistry 106
- Physiology 379
- Cell Biology 173
- Rehabilitation 66
- Endocrine and Autonomic Systems 50
Countries citing papers authored by David J. Pedersen
This map shows the geographic impact of David J. Pedersen'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 J. Pedersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Pedersen more than expected).
Fields of papers citing papers by David J. Pedersen
This network shows the impact of papers produced by David J. Pedersen. 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 J. Pedersen. The network helps show where David J. Pedersen may publish in the future.
Co-authors
The 25 scholars most cited alongside David J. Pedersen, 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 | 2013 | 204 | |
| 2 | 2015 | 119 | |
| 3 | 2008 | 78 | |
| 4 | 2007 | 76 | |
| 5 | 2007 | 58 | |
| 6 | 2015 | 53 | |
| 7 | 2011 | 49 | |
| 8 | 2017 | 47 | |
| 9 | 2015 | 41 | |
| 10 | 2018 | 29 | |
| 11 | 2007 | 18 | |
| 12 | 2023 | 14 | |
| 13 | 2013 | 6 | |
| 14 | 2008 | 2 |
About David J. Pedersen
David J. Pedersen is a scholar working on Physiology, Molecular Biology, Epidemiology, Cell Biology and Biochemistry, having authored 14 papers that have together received 794 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Metabolism, Diabetes, and Cancer (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Lipid metabolism and biosynthesis (4 papers), Pancreatic function and diabetes (3 papers), Muscle metabolism and nutrition (3 papers), Regulation of Appetite and Obesity (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Biochemistry (106 citations), Physiology (379 citations), Cell Biology (173 citations), Rehabilitation (66 citations) and Endocrine and Autonomic Systems (50 citations). David J. Pedersen has collaborated with scholars based in Australia, United States and Norway. Frequent co-authors include Michael Czech, Myriam Aouadi, Michaela Tencerová, Adı́lson Guilherme, Laura V. Danai, Vernon G. Coffey, John A. Hawley, Jason K. Kim, Carsten Schmitz‐Peiffer and Sarah M. Nicoloro. Their work appears in journals such as Diabetologia, Molecular Metabolism, Journal of Applied Physiology, Cell Metabolism and Medicine & Science in Sports & Exercise.
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.