Edwin Araúz
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
- Aging top 10%
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 4
- RNA Research and Splicing 1
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- Neonatal and fetal brain pathology 4
- Fetal and Pediatric Neurological Disorders 1
- Co-authors
- Jie Chen (6 shared papers)Taekjip Ha (3 shared papers)Ankur Jain (3 shared papers)Kaushik Ragunathan (1 shared paper)Ruijie Liu (1 shared paper)Yang K. Xiang (1 shared paper)Biswarathan Ramani (1 shared paper)Jeehae Park (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Proceedings of the National Academy of Sciences (2 papers)Developmental Neuroscience (1 paper)Journal of Cerebral Blood Flow & Metabolism (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesItalyPanama
In The Last Decade
Edwin Araúz
12 papers receiving 739 citations
Peers
Comparison fields: 5 of 86
- Biophysics 108
- Aging 23
- Structural Biology 18
- Developmental Neuroscience 43
- Cell Biology 118
Countries citing papers authored by Edwin Araúz
This map shows the geographic impact of Edwin Araúz'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 Edwin Araúz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin Araúz more than expected).
Fields of papers citing papers by Edwin Araúz
This network shows the impact of papers produced by Edwin Araúz. 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 Edwin Araúz. The network helps show where Edwin Araúz may publish in the future.
Co-authors
The 25 scholars most cited alongside Edwin Araúz, 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 | 2011 | 342 | |
| 2 | 2011 | 111 | |
| 3 | 2016 | 73 | |
| 4 | 2013 | 55 | |
| 5 | 2014 | 49 | |
| 6 | 2018 | 41 | |
| 7 | 2014 | 22 | |
| 8 | 2011 | 17 | |
| 9 | 2012 | 17 | |
| 10 | 2016 | 16 | |
| 11 | 2012 | 3 | |
| 12 | 2023 | 1 | |
| 13 | 2020 | 0 | |
| 14 | 2025 | 0 |
About Edwin Araúz
Edwin Araúz is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Cell Biology, Pulmonary and Respiratory Medicine and Physiology, having authored 14 papers that have together received 747 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Cellular transport and secretion (2 papers), Neonatal Respiratory Health Research (2 papers), RNA Research and Splicing (1 paper), Fetal and Pediatric Neurological Disorders (1 paper) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Biophysics (108 citations), Aging (23 citations), Structural Biology (18 citations), Developmental Neuroscience (43 citations) and Cell Biology (118 citations). Edwin Araúz has collaborated with scholars based in United States, Italy and Panama. Frequent co-authors include Jie Chen, Taekjip Ha, Ankur Jain, Kaushik Ragunathan, Ruijie Liu, Yang K. Xiang, Biswarathan Ramani, Jeehae Park, Yuji Ishitsuka and Mee‐Sup Yoon. Their work appears in journals such as Journal of Visualized Experiments, Proceedings of the National Academy of Sciences, Developmental Neuroscience, Journal of Cerebral Blood Flow & Metabolism and Cell Reports.
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.