Daniel M. Ninio
Impact in
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- Atrial Fibrillation Management and Outcomes
- Cardiac electrophysiology and arrhythmias
- Cardiac Arrhythmias and Treatments
- Heart Rate Variability and Autonomic Control
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- Fatty Acid Research and Health
Papers in
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- Atrial Fibrillation Management and Outcomes 2
- Cardiac electrophysiology and arrhythmias 2
- Cardiac Arrhythmias and Treatments 2
- Cardiomyopathy and Myosin Studies 1
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- Cardiovascular and exercise physiology 2
- Co-authors
- David A. Saint (4 shared papers)Peter R.C. Howe (2 shared papers)Karen Murphy (1 shared paper)Jonathan D. Buckley (1 shared paper)Alison M. Hill (1 shared paper)Henry Krum (1 shared paper)Paul T. Martin (1 shared paper)John T.Y. Hii (1 shared paper)
- Journals
- Pacing and Clinical Electrophysiology (1 paper)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)Hypertension (1 paper)Progress in Biophysics and Molecular Biology (1 paper)Journal of Cardiovascular Electrophysiology (1 paper)
- Partner nations
- Australia
In The Last Decade
Daniel M. Ninio
7 papers receiving 198 citations
Peers
Comparison fields: 5 of 39
- Cardiology and Cardiovascular Medicine 116
- Nutrition and Dietetics 65
- Biochemistry 17
- Equine 2
- Physiology 26
Countries citing papers authored by Daniel M. Ninio
This map shows the geographic impact of Daniel M. Ninio'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 M. Ninio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Ninio more than expected).
Fields of papers citing papers by Daniel M. Ninio
This network shows the impact of papers produced by Daniel M. Ninio. 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 M. Ninio. The network helps show where Daniel M. Ninio may publish in the future.
Co-authors
The 8 scholars most cited alongside Daniel M. Ninio, 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 | 2005 | 82 | |
| 2 | 2008 | 46 | |
| 3 | 2008 | 38 | |
| 4 | 2002 | 12 | |
| 5 | 2006 | 11 | |
| 6 | 2000 | 11 | |
| 7 | 2006 | 2 |
About Daniel M. Ninio
Daniel M. Ninio is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Nutrition and Dietetics, Surgery and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 202 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (2 papers), Fatty Acid Research and Health (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Trauma Management and Diagnosis (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Cardiomyopathy and Myosin Studies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (116 citations), Nutrition and Dietetics (65 citations), Biochemistry (17 citations), Equine (2 citations) and Physiology (26 citations). Daniel M. Ninio has collaborated with scholars based in Australia. Frequent co-authors include David A. Saint, Peter R.C. Howe, Karen Murphy, Jonathan D. Buckley, Alison M. Hill, Henry Krum, Paul T. Martin and John T.Y. Hii. Their work appears in journals such as Pacing and Clinical Electrophysiology, American Journal of Physiology-Heart and Circulatory Physiology, Hypertension, Progress in Biophysics and Molecular Biology and Journal of Cardiovascular Electrophysiology.
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.