Glòria Arqué
Impact in
- Developmental Neuroscience top 10%
- Genetics top 10%
- Genetics and Neurodevelopmental Disorders
Papers in
-
- Congenital heart defects research 3
- Genetics 8
- Genetics and Neurodevelopmental Disorders 8
- Co-authors
- Mara Dierssen (7 shared papers)Robert F. Berman (5 shared papers)Francisco Purroy (14 shared papers)María Martínez de Lagrán (3 shared papers)María L. Arbonés (2 shared papers)Michael R. Hunsaker (3 shared papers)Vassiliki Fotaki (1 shared paper)Cristina Fillat (3 shared papers)
- Journals
- PLoS ONE (5 papers)Frontiers in Neurology (4 papers)Scientific Reports (3 papers)Stroke (2 papers)Stroke and Vascular Neurology (1 paper)
- Partner nations
- SpainUnited StatesAustria
In The Last Decade
Glòria Arqué
27 papers receiving 531 citations
Peers
Comparison fields: 5 of 70
- Developmental Neuroscience 32
- Genetics 215
- Cognitive Neuroscience 106
- Neurology 41
- Cellular and Molecular Neuroscience 70
Countries citing papers authored by Glòria Arqué
This map shows the geographic impact of Glòria Arqué'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 Glòria Arqué with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glòria Arqué more than expected).
Fields of papers citing papers by Glòria Arqué
This network shows the impact of papers produced by Glòria Arqué. 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 Glòria Arqué. The network helps show where Glòria Arqué may publish in the future.
Co-authors
The 25 scholars most cited alongside Glòria Arqué, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 75 | |
| 2 | 2014 | 57 | |
| 3 | 2021 | 44 | |
| 4 | 2012 | 40 | |
| 5 | 2011 | 38 | |
| 6 | 2011 | 35 | |
| 7 | 2011 | 33 | |
| 8 | 2009 | 23 | |
| 9 | 2013 | 21 | |
| 10 | 2009 | 20 | |
| 11 | 2021 | 18 | |
| 12 | 2020 | 16 | |
| 13 | 2019 | 15 | |
| 14 | 2011 | 14 | |
| 15 | 2006 | 14 | |
| 16 | 2021 | 11 | |
| 17 | 2016 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2020 | 7 |
About Glòria Arqué
Glòria Arqué is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Pathology and Forensic Medicine and Epidemiology, having authored 29 papers that have together received 536 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (8 papers), Acute Ischemic Stroke Management (6 papers), Autism Spectrum Disorder Research (6 papers), Down syndrome and intellectual disability research (6 papers), Cardiac Ischemia and Reperfusion (5 papers), Congenital heart defects research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Developmental Neuroscience (32 citations), Genetics (215 citations), Cognitive Neuroscience (106 citations), Neurology (41 citations) and Cellular and Molecular Neuroscience (70 citations). Glòria Arqué has collaborated with scholars based in Spain, United States and Austria. Frequent co-authors include Mara Dierssen, Robert F. Berman, Francisco Purroy, María Martínez de Lagrán, María L. Arbonés, Michael R. Hunsaker, Vassiliki Fotaki, Cristina Fillat, Anna Casanovas and H. Jürgen Wenzel. Their work appears in journals such as PLoS ONE, Frontiers in Neurology, Scientific Reports, Stroke and Stroke and Vascular Neurology.
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.