Eric R. Muñoz

450 total citations
9 papers, 333 citations indexed

About

Eric R. Muñoz is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Eric R. Muñoz has authored 9 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Epidemiology. Recurrent topics in Eric R. Muñoz's work include Extracellular vesicles in disease (5 papers), Muscle Physiology and Disorders (2 papers) and RNA Interference and Gene Delivery (2 papers). Eric R. Muñoz is often cited by papers focused on Extracellular vesicles in disease (5 papers), Muscle Physiology and Disorders (2 papers) and RNA Interference and Gene Delivery (2 papers). Eric R. Muñoz collaborates with scholars based in United States and Italy. Eric R. Muñoz's co-authors include Animesh Tandon, Deborah Y. Kwon, Charlotte J. Sumner, Kenneth H. Fischbeck, Barrington G. Burnett, Matthew B. Hudson, Shannon Modla, Mark S. Parcells, Sabari Nath Neerukonda and Kenneth Walsh and has published in prestigious journals such as Molecular and Cellular Biology, The FASEB Journal and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Eric R. Muñoz

9 papers receiving 331 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eric R. Muñoz United States	7	275	197	60	41	33	9	333
Daniela Avila‐Smirnow Chile	7	240 0.9×	113 0.6×	26 0.4×	8 0.2×	119 3.6×	24	331
Benoite Champon France	9	214 0.8×	23 0.1×	90 1.5×	22 0.5×	27 0.8×	11	294
Sara Ancel Switzerland	4	235 0.9×	68 0.3×	66 1.1×	8 0.2×	12 0.4×	6	283
Chao-Jen Wong United States	9	520 1.9×	57 0.3×	14 0.2×	14 0.3×	86 2.6×	11	541
Joris Michaud Switzerland	6	237 0.9×	67 0.3×	73 1.2×	6 0.1×	15 0.5×	6	327
Casey O. Swoboda United States	3	187 0.7×	29 0.1×	25 0.4×	18 0.4×	24 0.7×	5	227
Aaron S. Zelikovich United States	5	166 0.6×	75 0.4×	21 0.3×	4 0.1×	20 0.6×	8	265
Christine J. DiDonato United States	10	383 1.4×	376 1.9×	135 2.3×	3 0.1×	19 0.6×	13	466
Natalia Voronina Germany	7	97 0.4×	52 0.3×	70 1.2×	27 0.7×	12 0.4×	12	158
Natalia Mendoza-Ferreira Germany	7	340 1.2×	321 1.6×	147 2.5×	10 0.2×	6 0.2×	8	437

Countries citing papers authored by Eric R. Muñoz

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Eric R. Muñoz

This figure shows the co-authorship network connecting the top 25 collaborators of Eric R. Muñoz. A scholar is included among the top collaborators of Eric R. Muñoz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eric R. Muñoz. Eric R. Muñoz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Muñoz, Eric R., et al.. (2022). Development of Myotropic Extracellular Vesicles for Targeted Delivery of Therapeutics to Skeletal Muscle. The FASEB Journal. 36(S1). 1 indexed citations

Neerukonda, Sabari Nath, et al.. (2020). A comparison of exosome purification methods using serum of Marek's disease virus (MDV)-vaccinated and -tumor-bearing chickens. Heliyon. 6(12). e05669–e05669. 8 indexed citations

Muñoz, Eric R., et al.. (2020). Effects of purposeful soccer heading on circulating small extracellular vesicle concentration and cargo. Journal of sport and health science. 10(2). 122–130. 13 indexed citations

Muñoz, Eric R., et al.. (2020). Cardiometabolic risk factors are associated with immune cell mitochondrial respiration in humans. American Journal of Physiology-Heart and Circulatory Physiology. 319(2). H481–H487. 12 indexed citations

Muñoz, Eric R., et al.. (2020). Muscle Stem Cell-Derived Extracellular Vesicles Reverse Hydrogen Peroxide-Induced Mitochondrial Dysfunction in Mouse Myotubes. Cells. 9(12). 2544–2544. 14 indexed citations

Neerukonda, Sabari Nath, et al.. (2018). Comparison of exosomes purified via ultracentrifugation (UC) and Total Exosome Isolation (TEI) reagent from the serum of Marek’s disease virus (MDV)-vaccinated and tumor-bearing chickens. Journal of Virological Methods. 263. 1–9. 32 indexed citations

Seki, Mitsuru, J. Powers, Sonomi Maruyama, et al.. (2018). Acute and Chronic Increases of Circulating FSTL1 Normalize Energy Substrate Metabolism in Pacing-Induced Heart Failure. Circulation Heart Failure. 11(1). e004486–e004486. 44 indexed citations

Burnett, Barrington G., Eric R. Muñoz, Animesh Tandon, et al.. (2008). Regulation of SMN Protein Stability. Molecular and Cellular Biology. 29(5). 1107–1115. 206 indexed citations

Muñoz, Eric R., et al.. (1989). Desensitization of α1 Adrenoceptor-Stimulated Glycogen Phosphorylase Activity in Vascular Smooth Muscle. Journal of Cardiovascular Pharmacology. 14(2). 278–284. 3 indexed citations

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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