Daniel Gratz
Impact in
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- Cardiac electrophysiology and arrhythmias
- Cardiomyopathy and Myosin Studies
- Cardiac Fibrosis and Remodeling
- Atrial Fibrillation Management and Outcomes
- Cardiovascular Function and Risk Factors
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- MicroRNA in disease regulation
Papers in
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- Cardiac electrophysiology and arrhythmias 7
- Cardiac Fibrosis and Remodeling 3
- Atrial Fibrillation Management and Outcomes 2
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- Ion channel regulation and function 6
- Co-authors
- Thomas J. Hund (13 shared papers)Drew Nassal (5 shared papers)Birce Önal (3 shared papers)Peter J. Mohler (4 shared papers)Sathya D. Unudurthi (3 shared papers)Xianyao Xu (2 shared papers)Xander H.T. Wehrens (2 shared papers)Hassan Musa (2 shared papers)
- Journals
- Expert Opinion on Therapeutic Targets (2 papers)Circulation Research (2 papers)MethodsX (2 papers)Frontiers in Pharmacology (1 paper)Heart Rhythm (1 paper)
- Partner nations
- United StatesBrazilJapan
In The Last Decade
Daniel Gratz
13 papers receiving 278 citations
Peers
Comparison fields: 5 of 65
- Cardiology and Cardiovascular Medicine 161
- Cancer Research 32
- Molecular Biology 148
- Cellular and Molecular Neuroscience 33
- Electrochemistry 9
Countries citing papers authored by Daniel Gratz
This map shows the geographic impact of Daniel Gratz'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 Gratz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gratz more than expected).
Fields of papers citing papers by Daniel Gratz
This network shows the impact of papers produced by Daniel Gratz. 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 Gratz. The network helps show where Daniel Gratz may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gratz, 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 | 2021 | 48 | |
| 2 | 2020 | 48 | |
| 3 | 2019 | 37 | |
| 4 | 2019 | 28 | |
| 5 | 2017 | 23 | |
| 6 | 2022 | 20 | |
| 7 | 2019 | 19 | |
| 8 | 2019 | 18 | |
| 9 | 2018 | 14 | |
| 10 | 2020 | 12 | |
| 11 | 2016 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2018 | 1 |
About Daniel Gratz
Daniel Gratz is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Physiology and Oncology, having authored 13 papers that have together received 279 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (7 papers), Ion channel regulation and function (6 papers), Neuroscience and Neural Engineering (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Erythrocyte Function and Pathophysiology (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), MicroRNA in disease regulation (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (161 citations), Cancer Research (32 citations), Molecular Biology (148 citations), Cellular and Molecular Neuroscience (33 citations) and Electrochemistry (9 citations). Daniel Gratz has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Thomas J. Hund, Drew Nassal, Birce Önal, Peter J. Mohler, Sathya D. Unudurthi, Xianyao Xu, Xander H.T. Wehrens, Hassan Musa, Michel Skaf and Nehal Patel. Their work appears in journals such as Expert Opinion on Therapeutic Targets, Circulation Research, MethodsX, Frontiers in Pharmacology and Heart Rhythm.
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.