Danielle A Jeffrey
Impact in
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- Cardiomyopathy and Myosin Studies
- Cardiac pacing and defibrillation studies
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- Molecular Biology Techniques and Applications
- RNA Research and Splicing
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Mitochondrial Function and Pathology
Papers in
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- Congenital heart defects research 2
- Gene expression and cancer classification 1
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- Cardiomyopathy and Myosin Studies 3
- Cardiac electrophysiology and arrhythmias 1
- Co-authors
- Shelley D. Miyamoto (5 shared papers)Carmen C. Sucharov (6 shared papers)Brian L. Stauffer (6 shared papers)Anastacia M. Garcia (3 shared papers)Xuan Jiang (2 shared papers)Matthew R.G. Taylor (2 shared papers)Karin Nunley (2 shared papers)Anis Karimpour‐Fard (3 shared papers)
- Journals
- American Journal of Physiology-Heart and Circulatory Physiology (2 papers)JCI Insight (2 papers)Science Signaling (1 paper)The Journal of Physiology (1 paper)Annals of Surgery (1 paper)
- Partner nations
- United StatesChileArgentina
In The Last Decade
Danielle A Jeffrey
13 papers receiving 239 citations
Peers
Comparison fields: 5 of 82
- Cardiology and Cardiovascular Medicine 46
- Molecular Biology 113
- Cancer Research 20
- Geriatrics and Gerontology 3
- Aquatic Science 7
Countries citing papers authored by Danielle A Jeffrey
This map shows the geographic impact of Danielle A Jeffrey'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 Danielle A Jeffrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle A Jeffrey more than expected).
Fields of papers citing papers by Danielle A Jeffrey
This network shows the impact of papers produced by Danielle A Jeffrey. 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 Danielle A Jeffrey. The network helps show where Danielle A Jeffrey may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle A Jeffrey, 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 | 2018 | 156 | |
| 2 | 2017 | 35 | |
| 3 | 2020 | 11 | |
| 4 | 2021 | 10 | |
| 5 | 1983 | 9 | |
| 6 | 2022 | 7 | |
| 7 | 2025 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2015 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Danielle A Jeffrey
Danielle A Jeffrey is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Neurology, Surgery and Automotive Engineering, having authored 15 papers that have together received 243 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (3 papers), Congenital heart defects research (2 papers), Barrier Structure and Function Studies (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Advanced Battery Technologies Research (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (46 citations), Molecular Biology (113 citations), Cancer Research (20 citations), Geriatrics and Gerontology (3 citations) and Aquatic Science (7 citations). Danielle A Jeffrey has collaborated with scholars based in United States, Chile and Argentina. Frequent co-authors include Shelley D. Miyamoto, Carmen C. Sucharov, Brian L. Stauffer, Anastacia M. Garcia, Xuan Jiang, Matthew R.G. Taylor, Karin Nunley, Anis Karimpour‐Fard, Philip D. Tatman and Joseph C. Cleveland. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, JCI Insight, Science Signaling, The Journal of Physiology and Annals of Surgery.
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.