Daniel Gratz

416 citations
13 papers · 265 · h-index 10

Impact in

    • Cardiac electrophysiology and arrhythmias
    • Cardiac Fibrosis and Remodeling
    • Cardiomyopathy and Myosin Studies
    • Atrial Fibrillation Management and Outcomes
    • Cardiovascular Function and Risk Factors
    • MicroRNA in disease regulation

Papers in

    • Cardiac electrophysiology and arrhythmias 7
    • Cardiac Fibrosis and Remodeling 4
    • Atrial Fibrillation Management and Outcomes 2
    • Cardiomyopathy and Myosin Studies 2
    • Ion channel regulation and function 6
    • Signaling Pathways in Disease 2

Daniel Gratz

13 papers receiving 264 citations

Peers

Daniel Gratz
Comparison fields: 5 of 65
  • Cardiology and Cardiovascular Medicine 174
  • Cancer Research 34
  • Molecular Biology 153
  • Cellular and Molecular Neuroscience 32
  • Electrochemistry 10
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Amara Greer-Short United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Gratz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Gratz Line = papers co-authored together Daniel Gratz links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202046
2 202143
3 201936
4 201927
5 201722
6 201919
7 202219
8 201917
9 201814
10 202011
11 20166
12 20214
13 20181

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 265 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (7 papers), Ion channel regulation and function (6 papers), Cardiac Fibrosis and Remodeling (4 papers), Neuroscience and Neural Engineering (3 papers), Signaling Pathways in Disease (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (174 citations), Cancer Research (34 citations), Molecular Biology (153 citations), Cellular and Molecular Neuroscience (32 citations) and Electrochemistry (10 citations). Daniel Gratz has collaborated with scholars based in United States, France and Brazil. Frequent co-authors include Thomas J. Hund, Drew Nassal, Birce Önal, Peter J. Mohler, Sathya D. Unudurthi, Michel Skaf, Hassan Musa, Katherina M. Alsina, Mona El Refaey and Xander H.T. Wehrens. Their work appears in journals such as MethodsX, Circulation Research, Expert Opinion on Therapeutic Targets, American Journal of Physiology-Heart and Circulatory Physiology and Frontiers in Pharmacology.

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.

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