Mario Dı́az
- Acoustics and Ultrasonics top 5%
- Physiology top 2%
- Alzheimer's disease research and treatments 15
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- Neuroscience and Neuropharmacology Research 10
- Physiology top 2%
- Alzheimer's disease research and treatments 15
- Molecular Biology top 5%
- Ion channel regulation and function 16
- Lipid Membrane Structure and Behavior 16
- Ion Transport and Channel Regulation 10
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- Estrogen and related hormone effects 26
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- Cholesterol and Lipid Metabolism 12
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- Fatty Acid Research and Health 10
- Co-authors
- Raquel MarínNoemí FabeloMiguel A. ValverdeIsidró FerrerM.V. MartínFrancisco V. SepúlvedaRafael AlonsoGabriel Santpere
- Partner nations
- SpainUnited KingdomChile
In The Last Decade
Mario Dı́az
114 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Acoustics and Ultrasonics 47
- Physiology 968
- Cellular and Molecular Neuroscience 637
- Physiology 136
- Molecular Biology 2.0k
Countries citing papers authored by Mario Dı́az
This map shows the geographic impact of Mario Dı́az'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 Mario Dı́az with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Dı́az more than expected).
Fields of papers citing papers by Mario Dı́az
This network shows the impact of papers produced by Mario Dı́az. 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 Mario Dı́az. The network helps show where Mario Dı́az may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mario Dı́az, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 1 | |
| 5 | 2018 | 51 | |
| 6 | 2018 | 61 | |
| 7 | 2014 | 15 | |
| 8 | 2014 | 35 | |
| 9 | 2013 | 11 | |
| 10 | 2011 | 1 | |
| 11 | 2010 | 4 | |
| 12 | 2007 | 62 | |
| 13 | 2005 | 26 | |
| 14 | 2003 | 15 | |
| 15 | 2002 | 19 | |
| 16 | 1996 | 8 | |
| 17 | 05. Plasma concentrations of aldosterone and electrolytes in Gallotia galloti (Sauria Lacertidae) | 1992 | 1 |
| 18 | Volume-regulated chloride channels associated with the human multidrug-resistance P-glycoproteinbreakdown → | 1992 | 492 |
| 19 | Coexistence of absorptive and secretory NaCl processes in the isolated lizard colon : effects of cyclic AMP | 1991 | 5 |
| 20 | 1991 | 5 |
About Mario Dı́az
Mario Dı́az is a scholar working on Biochemistry, Acoustics and Ultrasonics and Genetics, having authored 115 papers that have together received 4.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (26 papers), Ion channel regulation and function (16 papers), Lipid Membrane Structure and Behavior (16 papers), Alzheimer's disease research and treatments (15 papers), Cholesterol and Lipid Metabolism (12 papers), Fatty Acid Research and Health (10 papers), Ion Transport and Channel Regulation (10 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Acoustics and Ultrasonics (47 citations), Physiology (968 citations) and Cellular and Molecular Neuroscience (637 citations). Mario Dı́az has collaborated with scholars based in Spain, United Kingdom and Chile. Frequent co-authors include Raquel Marín, Noemí Fabelo, Miguel A. Valverde, Isidró Ferrer, M.V. Martín, Francisco V. Sepúlveda, Rafael Alonso, Gabriel Santpere, Christopher F. Higgins and Stephen C. Hyde. Their work appears in journals such as Nature, Journal of Biological Chemistry and PLoS ONE.
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.