Daniel P. Kelly
Impact in
- Physiology top 0.02%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
-
- Cardiovascular Function and Risk Factors
Papers in
-
- Metabolism and Genetic Disorders 29
- Physiology 106
- Adipose Tissue and Metabolism 92
- Diet and metabolism studies 20
- Co-authors
- Janice M. HussRick B. VegaTeresa C. LeoneRichard C. ScarpullaJohn J. LehmanBrian N. FinckCarla J. WeinheimerPhilip M. Barger
- Journals
- Journal of Biological Chemistry (22 papers)Journal of Clinical Investigation (18 papers)Circulation Research (13 papers)Circulation (12 papers)Cell Metabolism (9 papers)
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Daniel P. Kelly
219 papers receiving 30.7k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Physiology 12.9k
- Cardiology and Cardiovascular Medicine 7.8k
- Molecular Biology 18.8k
- Clinical Biochemistry 1.8k
- Geriatrics and Gerontology 1.0k
Countries citing papers authored by Daniel P. Kelly
This map shows the geographic impact of Daniel P. Kelly'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 Daniel P. Kelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Kelly more than expected).
Fields of papers citing papers by Daniel P. Kelly
This network shows the impact of papers produced by Daniel P. Kelly. 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 Daniel P. Kelly. The network helps show where Daniel P. Kelly may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel P. Kelly, 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 | 2024 | 8 | |
| 2 | 2023 | 20 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 16 | |
| 5 | 2022 | 25 | |
| 6 | 2020 | 111 | |
| 7 | 2020 | 55 | |
| 8 | 2018 | 201 | |
| 9 | The Failing Heart Relies on Ketone Bodies as a Fuel Hit paper breakdown → | 2016 | 549 |
| 10 | 2016 | 99 | |
| 11 | 2015 | 101 | |
| 12 | 2007 | 177 | |
| 13 | 2007 | 240 | |
| 14 | 2005 | 36 | |
| 15 | 2002 | 45 | |
| 16 | The cardiac phenotype induced by PPARα overexpression mimics that caused by diabetes mellitus Hit paper breakdown → | 2002 | 663 |
| 17 | 2002 | 225 | |
| 18 | 2002 | 386 | |
| 19 | 2000 | 382 | |
| 20 | 1996 | 64 |
About Daniel P. Kelly
Daniel P. Kelly is a scholar working on Clinical Biochemistry, Physiology, Cardiology and Cardiovascular Medicine, Molecular Biology and Biochemistry, having authored 223 papers that have together received 31.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (92 papers), Peroxisome Proliferator-Activated Receptors (72 papers), Cardiovascular Function and Risk Factors (48 papers), Mitochondrial Function and Pathology (47 papers), Metabolism and Genetic Disorders (29 papers), Metabolism, Diabetes, and Cancer (23 papers), Diet and metabolism studies (20 papers) and Superconducting and THz Device Technology (11 papers). The work is most often cited by research in Physiology (12.9k citations), Cardiology and Cardiovascular Medicine (7.8k citations), Molecular Biology (18.8k citations), Clinical Biochemistry (1.8k citations) and Geriatrics and Gerontology (1.0k citations). Daniel P. Kelly has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Janice M. Huss, Rick B. Vega, Teresa C. Leone, Richard C. Scarpulla, John J. Lehman, Brian N. Finck, Carla J. Weinheimer, Philip M. Barger, Denis M. Medeiros and Jeffrey E. Saffitz. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Circulation Research, Circulation and Cell 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.