Eric R. Muñoz
Impact in
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research
-
- RNA modifications and cancer
- RNA Research and Splicing
- Extracellular vesicles in disease
- Muscle Physiology and Disorders
- RNA Interference and Gene Delivery
Papers in
-
- Extracellular vesicles in disease 5
- RNA Interference and Gene Delivery 2
- Muscle Physiology and Disorders 2
-
- Cardiovascular Effects of Exercise 2
- Cardiac electrophysiology and arrhythmias 1
- Co-authors
- Deborah Y. Kwon (1 shared paper)Barrington G. Burnett (1 shared paper)Animesh Tandon (1 shared paper)Charlotte J. Sumner (1 shared paper)Kenneth H. Fischbeck (1 shared paper)Matthew B. Hudson (5 shared papers)Mark S. Parcells (2 shared papers)Sabari Nath Neerukonda (2 shared papers)
- Journals
- Circulation Heart Failure (1 paper)Journal of Cardiovascular Pharmacology (1 paper)Cells (1 paper)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)Journal of sport and health science (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Eric R. Muñoz
9 papers receiving 331 citations
Peers
Comparison fields: 5 of 52
- Genetics 197
- Molecular Biology 275
- Cancer Research 41
- Cardiology and Cardiovascular Medicine 33
- Surgery 60
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 | 206 | |
| 2 | 2018 | 44 | |
| 3 | 2018 | 32 | |
| 4 | 2020 | 14 | |
| 5 | 2020 | 13 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 8 | |
| 8 | 1989 | 3 | |
| 9 | 2022 | 1 |
About Eric R. Muñoz
Eric R. Muñoz is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Physiology and Genetics, having authored 9 papers that have together received 333 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (5 papers), Cardiovascular Effects of Exercise (2 papers), RNA Interference and Gene Delivery (2 papers), Adipose Tissue and Metabolism (2 papers), Muscle Physiology and Disorders (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), MicroRNA in disease regulation (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Genetics (197 citations), Molecular Biology (275 citations), Cancer Research (41 citations), Cardiology and Cardiovascular Medicine (33 citations) and Surgery (60 citations). Eric R. Muñoz has collaborated with scholars based in United States and Italy. Frequent co-authors include Deborah Y. Kwon, Barrington G. Burnett, Animesh Tandon, Charlotte J. Sumner, Kenneth H. Fischbeck, Matthew B. Hudson, Mark S. Parcells, Sabari Nath Neerukonda, Shannon Modla and Kenneth Walsh. Their work appears in journals such as Circulation Heart Failure, Journal of Cardiovascular Pharmacology, Cells, American Journal of Physiology-Heart and Circulatory Physiology and Journal of sport and health science.
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.