María Miana
- Immunology top 5%
- Galectins and Cancer Biology 4
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- Cardiovascular Function and Risk Factors 3
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- Hormonal Regulation and Hypertension 10
- Surgery top 10%
- Cardiovascular, Neuropeptides, and Oxidative Stress Research 11
- Endocrine and Autonomic Systems top 10%
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- Adipokines, Inflammation, and Metabolic Diseases 6
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- Adipose Tissue and Metabolism 5
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- Microbial metabolism and enzyme function 3
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- Eicosanoids and Hypertension Pharmacology 3
- Co-authors
- Victoria CachofeiroErnesto Martínez‐MartínezNatalia López‐AndrésVicente LaheraNatalia de las HerasPatrick RossignolFaı̈ez ZannadLaurent Calvier
- Journals
- PLoS ONE (3 papers)Scientific Reports (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
María Miana
33 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 100
- Immunology 448
- Cardiology and Cardiovascular Medicine 463
- Endocrinology, Diabetes and Metabolism 273
- Surgery 414
- Endocrine and Autonomic Systems 61
Countries citing papers authored by María Miana
This map shows the geographic impact of María Miana'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 María Miana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Miana more than expected).
Fields of papers citing papers by María Miana
This network shows the impact of papers produced by María Miana. 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 María Miana. The network helps show where María Miana may publish in the future.
Co-authorship network
The 25 scholars most cited alongside María Miana, 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 | 2023 | 2 | |
| 3 | 2017 | 31 | |
| 4 | 2016 | 54 | |
| 5 | 2015 | 31 | |
| 6 | 2014 | 22 | |
| 7 | 2014 | 49 | |
| 8 | 2014 | 110 | |
| 9 | 2013 | 40 | |
| 10 | 2012 | 15 | |
| 11 | 2012 | 19 | |
| 12 | 2012 | 11 | |
| 13 | 2012 | 28 | |
| 14 | 2012 | 27 | |
| 15 | 2010 | 2 | |
| 16 | 2010 | 18 | |
| 17 | 2010 | 21 | |
| 18 | 2009 | 17 | |
| 19 | 2006 | 135 | |
| 20 | 2005 | 48 |
About María Miana
María Miana is a scholar working on Research and Theory, Leadership and Management and Endocrinology, Diabetes and Metabolism, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (11 papers), Hormonal Regulation and Hypertension (10 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Adipose Tissue and Metabolism (5 papers), Galectins and Cancer Biology (4 papers), Microbial metabolism and enzyme function (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Immunology (448 citations), Cardiology and Cardiovascular Medicine (463 citations) and Endocrinology, Diabetes and Metabolism (273 citations). María Miana has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Victoria Cachofeiro, Ernesto Martínez‐Martínez, Natalia López‐Andrés, Vicente Lahera, Natalia de las Heras, Patrick Rossignol, Faı̈ez Zannad, Laurent Calvier, Raquel Jurado-López and Sandra Ballesteros. Their work appears in journals such as PLoS ONE, Scientific Reports and Arteriosclerosis Thrombosis and Vascular Biology.
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.