J. Powers
Impact in
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- Cardiovascular Function and Risk Factors
- Heart Failure Treatment and Management
- Cardiac Fibrosis and Remodeling
- Cardiomyopathy and Myosin Studies
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- Diet and metabolism studies
Papers in
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- Cardiac Fibrosis and Remodeling 6
- Cardiovascular Function and Risk Factors 3
- Cardiomyopathy and Myosin Studies 2
- Heart Failure Treatment and Management 2
- Atrial Fibrillation Management and Outcomes 1
- Co-authors
- Fabio A. Recchia (7 shared papers)Clara Kurishima (2 shared papers)Daniel P. Kelly (1 shared paper)Deborah M. Muoio (1 shared paper)Rick B. Vega (1 shared paper)Michael T. Davidson (1 shared paper)Julie L. Horton (1 shared paper)E. Douglas Lewandowski (1 shared paper)
- Journals
- Journal of the American College of Cardiology (3 papers)Circulation Heart Failure (2 papers)JCI Insight (2 papers)Methods in molecular biology (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
J. Powers
7 papers receiving 453 citations
Peers
Comparison fields: 5 of 44
- Cardiology and Cardiovascular Medicine 220
- Physiology 109
- Endocrinology, Diabetes and Metabolism 55
- Geriatrics and Gerontology 7
- Aging 3
Countries citing papers authored by J. Powers
This map shows the geographic impact of J. Powers'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 J. Powers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Powers more than expected).
Fields of papers citing papers by J. Powers
This network shows the impact of papers produced by J. Powers. 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 J. Powers. The network helps show where J. Powers may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Powers, 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 | 2019 | 298 | |
| 2 | 2015 | 57 | |
| 3 | 2018 | 50 | |
| 4 | 2022 | 26 | |
| 5 | 2020 | 16 | |
| 6 | 2018 | 11 | |
| 7 | 2016 | 1 | |
| 8 | 2015 | 0 |
About J. Powers
J. Powers is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research, Physiology, Molecular Biology and Genetics, having authored 8 papers that have together received 459 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (6 papers), Cardiovascular Function and Risk Factors (3 papers), Mitochondrial Function and Pathology (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Heart Failure Treatment and Management (2 papers), Diet and metabolism studies (1 paper), Atrial Fibrillation Management and Outcomes (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (220 citations), Physiology (109 citations), Endocrinology, Diabetes and Metabolism (55 citations), Geriatrics and Gerontology (7 citations) and Aging (3 citations). J. Powers has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Fabio A. Recchia, Clara Kurishima, Daniel P. Kelly, Deborah M. Muoio, Rick B. Vega, Michael T. Davidson, Julie L. Horton, E. Douglas Lewandowski, Christopher J. Petucci and Timothy R. Matsuura. Their work appears in journals such as Journal of the American College of Cardiology, Circulation Heart Failure, JCI Insight and Methods in molecular biology.
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.