Daniel S. Matasic

745 citations
12 papers · 212 · h-index 7

Impact in

Papers in

    • Ion channel regulation and function 3
    • Ion Transport and Channel Regulation 2
    • RNA Research and Splicing 2
    • Cardiovascular Function and Risk Factors 2
    • Heart Failure Treatment and Management 2
    • Cardiomyopathy and Myosin Studies 2

Daniel S. Matasic

10 papers receiving 209 citations

Peers

Daniel S. Matasic
Comparison fields: 5 of 58
  • Sensory Systems 50
  • Geriatrics and Gerontology 25
  • Physiology 22
  • Cardiology and Cardiovascular Medicine 74
  • Aging 3
Replace Chifei Kang with:
Chifei Kang United States
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Giselle Barreto‐Torres Puerto Rico
Dor Yadin Israel
Pradeep Kumar Sreenivasaiah South Korea
Zhongheng Sui China
Lucile Noyer United States
Dong-Gyu Kim South Korea
Hiroto Tsujikawa United States
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Daniel S. Matasic relative to Chifei Kang United States Chifei Kang's profile →
Citations per field
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Chifei Kang · 1×
Citations per year

Countries citing papers authored by Daniel S. Matasic

Since Specialization
Citations

This map shows the geographic impact of Daniel S. Matasic'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 S. Matasic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Matasic more than expected).

Fields of papers citing papers by Daniel S. Matasic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Matasic. 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 S. Matasic. The network helps show where Daniel S. Matasic may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel S. Matasic, 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 S. Matasic Line = papers co-authored together Daniel S. Matasic links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201677
2 201750
3 201319
4 202318
5 202013
6 202213
7 202110
8 20226
9 20234
10 20192
11 20240
12 20200

About Daniel S. Matasic

Daniel S. Matasic is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Sensory Systems, Physiology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 212 indexed citations. Recurring topics across this work include Ion channel regulation and function (3 papers), Ion Channels and Receptors (3 papers), Ion Transport and Channel Regulation (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Cardiovascular Function and Risk Factors (2 papers), Heart Failure Treatment and Management (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Sensory Systems (50 citations), Geriatrics and Gerontology (25 citations), Physiology (22 citations), Cardiology and Cardiovascular Medicine (74 citations) and Aging (3 citations). Daniel S. Matasic has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Barry London, Charles Brenner, Jae Gyun Oh, Jean‐Sébastien Hulot, Catherine Pavoine, Ah Young Lee, Marine Cacheux, Ludovic Bénard, Roger J. Hajjar and Mathieu Nonnenmacher. Their work appears in journals such as Circulation, American Journal of Physiology-Heart and Circulatory Physiology, The FASEB Journal, Frontiers in Physiology and ACS Medicinal Chemistry Letters.

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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