David J. Pedersen
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- Protein Kinase Regulation and GTPase Signaling 2
-
- Adipose Tissue and Metabolism 6
- 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
- Molecular Metabolism (3 papers)Diabetologia (3 papers)Journal of Applied Physiology (2 papers)Medicine & Science in Sports & Exercise (1 paper)The FASEB Journal (1 paper)
- Partner nations
- AustraliaUnited StatesNorway
In The Last Decade
David J. Pedersen
14 papers receiving 785 citations
Peers
Comparison fields: 5 of 83
- Physiology 337
- Biochemistry 95
- Rehabilitation 60
- Cell Biology 160
- Endocrine and Autonomic Systems 45
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 | 207 | |
| 2 | 2015 | 122 | |
| 3 | 2008 | 79 | |
| 4 | 2007 | 76 | |
| 5 | 2007 | 58 | |
| 6 | 2015 | 53 | |
| 7 | 2011 | 49 | |
| 8 | 2017 | 48 | |
| 9 | 2015 | 41 | |
| 10 | 2018 | 29 | |
| 11 | 2007 | 18 | |
| 12 | 2023 | 16 | |
| 13 | 2013 | 6 | |
| 14 | 2008 | 2 |
About David J. Pedersen
David J. Pedersen is a scholar working on Molecular Biology, Physiology, Cell Biology, Surgery and Epidemiology, having authored 14 papers that have together received 804 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Muscle metabolism and nutrition (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Lipid metabolism and biosynthesis (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Pancreatic function and diabetes (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Cardiovascular and exercise physiology (1 paper). The work is most often cited by research in Physiology (337 citations), Biochemistry (95 citations), Rehabilitation (60 citations), Cell Biology (160 citations) and Endocrine and Autonomic Systems (45 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 Jessica Cohen. Their work appears in journals such as Molecular Metabolism, Diabetologia, Journal of Applied Physiology, Medicine & Science in Sports & Exercise and The FASEB Journal.
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.