Antonio Cuadrado
- Molecular Biology top 0.2%
- Physiology top 0.5%
- Neurology top 0.2%
- Pharmacology top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Co-authors
- Ana I. RojoNadia G. InnamoratoJohn D. HayesMarta PajaresGina MandaMarta SalinasIsabel Lastres‐BeckerPatricia Rada
- Topics
- Genomics, phytochemicals, and oxidative stress (81 papers)Neuroinflammation and Neurodegeneration Mechanisms (19 papers)Heme Oxygenase-1 and Carbon Monoxide (16 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Antonio Cuadrado
172 papers receiving 17.1k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Molecular Biology 11.1k
- Physiology 2.3k
- Neurology 2.0k
- Pharmacology 1.5k
- Cellular and Molecular Neuroscience 1.5k
Countries citing papers authored by Antonio Cuadrado
This map shows the geographic impact of Antonio Cuadrado'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 Antonio Cuadrado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Cuadrado more than expected).
Fields of papers citing papers by Antonio Cuadrado
This network shows the impact of papers produced by Antonio Cuadrado. 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 Antonio Cuadrado. The network helps show where Antonio Cuadrado may publish in the future.
Co-authorship network of co-authors of Antonio Cuadrado
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Cuadrado. A scholar is included among the top collaborators of Antonio Cuadrado 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 Antonio Cuadrado. Antonio Cuadrado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 26 | |
| 7 | 15 | |
| 8 | Whole Blood Expression Pattern of Inflammation and Redox Genes in Mild Alzheimer’s Disease | 14 |
| 9 | 10 | |
| 10 | 17 | |
| 11 | 30 | |
| 12 | Therapeutic targeting of the NRF2 and KEAP1 partnership in chronic diseasesbreakdown → | 1034 |
| 13 | 181 | |
| 14 | Clinical Relevance of Biomarkers of Oxidative Stressbreakdown → | 648 |
| 15 | 193 | |
| 16 | 108 | |
| 17 | 265 | |
| 18 | 420 | |
| 19 | 65 | |
| 20 | Production of TNF alpha, IL-1, IL-6 and nitric oxide by isolated human islets. | 7 |
About Antonio Cuadrado
Antonio Cuadrado is a scholar working on Biological Psychiatry, Neurology and Molecular Biology, having authored 180 papers that have together received 17.3k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (81 papers), Neuroinflammation and Neurodegeneration Mechanisms (19 papers) and Heme Oxygenase-1 and Carbon Monoxide (16 papers). The work is most often cited by research in Biological Psychiatry (1.2k citations), Neurology (2.0k citations) and Molecular Biology (11.1k citations). Antonio Cuadrado has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Ana I. Rojo, Nadia G. Innamorato, John D. Hayes, Marta Pajares, Gina Manda, Marta Salinas, Isabel Lastres‐Becker, Patricia Rada, Daniel Martı́n and Marı́a L. de Ceballos. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Journal of Immunology.
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.