Eric Aragón

1.1k citations
27 papers · 842 · h-index 14

Impact in

    • TGF-β signaling in diseases
    • Ubiquitin and proteasome pathways
    • Cancer-related gene regulation
    • Chemical Synthesis and Analysis
    • Wnt/β-catenin signaling in development and cancer
  • Cell Biology top 10%
    • Hippo pathway signaling and YAP/TAZ

Papers in

    • TGF-β signaling in diseases 6
    • Cancer-related gene regulation 5
    • Ubiquitin and proteasome pathways 3
    • Glycosylation and Glycoproteins Research 3
    • Chemical Synthesis and Analysis 3
    • Monoclonal and Polyclonal Antibodies Research 4

Eric Aragón

27 papers receiving 826 citations

Peers

Eric Aragón
Comparison fields: 5 of 90
  • Molecular Biology 544
  • Cell Biology 117
  • Structural Biology 9
  • Oncology 110
  • Pathology and Forensic Medicine 60
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Eric Aragón

Since Specialization
Citations

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

Fields of papers citing papers by Eric Aragón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Aragón. 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 Aragón. The network helps show where Eric Aragón may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011210
2 201793
3 201284
4 201974
5 200854
6 201453
7 201836
8 198932
9 202124
10 201321
11 201119
12 200619
13 202117
14
Long-term efficacy, safety and survival of patients with potentially lethal ventricular arrhythmias treated with low-dose amiodarone.
198814
15 202213
16 201312
17 200111
18 202110
19 20169
20 20098

About Eric Aragón

Eric Aragón is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Cell Biology and Pathology and Forensic Medicine, having authored 27 papers that have together received 842 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (6 papers), Cancer-related gene regulation (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cardiac Arrhythmias and Treatments (4 papers), Ubiquitin and proteasome pathways (3 papers), Glycosylation and Glycoproteins Research (3 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Molecular Biology (544 citations), Cell Biology (117 citations), Structural Biology (9 citations), Oncology (110 citations) and Pathology and Forensic Medicine (60 citations). Eric Aragón has collaborated with scholars based in Spain, United States and France. Frequent co-authors include María J. Macias, Joan Massagué, Qiaoran Xi, Nina Goerner, Albert Escobedo, Tiago Gomes, Pau Martín-Malpartida, Lidia Ruíz, Alexia-Ileana Zaromytidou and Zuzanna Kaczmarska. Their work appears in journals such as Nature Communications, The Journal of Clinical Pharmacology, Computational and Structural Biotechnology Journal, Genes & Development and Structure.

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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