Eric R. Muñoz
Impact in
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research
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- RNA modifications and cancer
- RNA Research and Splicing
- Extracellular vesicles in disease
- Muscle Physiology and Disorders
- RNA Interference and Gene Delivery
Papers in
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- Extracellular vesicles in disease 5
- RNA Interference and Gene Delivery 2
- Muscle Physiology and Disorders 1
- Ion channel regulation and function 1
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- Cardiac electrophysiology and arrhythmias 1
- Cardiovascular Effects of Exercise 1
- Co-authors
- Barrington G. Burnett (1 shared paper)Deborah Y. Kwon (1 shared paper)Animesh Tandon (1 shared paper)Kenneth H. Fischbeck (1 shared paper)Charlotte J. Sumner (1 shared paper)Matthew B. Hudson (5 shared papers)Sabari Nath Neerukonda (2 shared papers)Mark S. Parcells (2 shared papers)
- Journals
- Journal of sport and health science (1 paper)Molecular and Cellular Biology (1 paper)The FASEB Journal (1 paper)Cells (1 paper)Circulation Heart Failure (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Eric R. Muñoz
9 papers receiving 352 citations
Peers
Comparison fields: 5 of 47
- Genetics 208
- Molecular Biology 273
- Cancer Research 39
- Cardiology and Cardiovascular Medicine 32
- Surgery 53
Countries citing papers authored by Eric R. Muñoz
This map shows the geographic impact of Eric R. Muñoz'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 Eric R. Muñoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric R. Muñoz more than expected).
Fields of papers citing papers by Eric R. Muñoz
This network shows the impact of papers produced by Eric R. Muñoz. 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 Eric R. Muñoz. The network helps show where Eric R. Muñoz may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric R. Muñoz, 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 | 2008 | 219 | |
| 2 | 2018 | 46 | |
| 3 | 2018 | 34 | |
| 4 | 2020 | 15 | |
| 5 | 2020 | 15 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 8 | |
| 8 | 1989 | 3 | |
| 9 | 2022 | 1 | |
| 10 | 2015 | 0 |
About Eric R. Muñoz
Eric R. Muñoz is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Genetics and General Health Professions, having authored 10 papers that have together received 355 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (5 papers), RNA Interference and Gene Delivery (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Cardiovascular Effects of Exercise (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Polymer Surface Interaction Studies (1 paper), Muscle Physiology and Disorders (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Genetics (208 citations), Molecular Biology (273 citations), Cancer Research (39 citations), Cardiology and Cardiovascular Medicine (32 citations) and Surgery (53 citations). Eric R. Muñoz has collaborated with scholars based in United States and Italy. Frequent co-authors include Barrington G. Burnett, Deborah Y. Kwon, Animesh Tandon, Kenneth H. Fischbeck, Charlotte J. Sumner, Matthew B. Hudson, Sabari Nath Neerukonda, Mark S. Parcells, Shannon Modla and Jesse C. Johnson. Their work appears in journals such as Journal of sport and health science, Molecular and Cellular Biology, The FASEB Journal, Cells and Circulation Heart Failure.
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.