María G. Barderas
- Nephrology top 2%
-
- Cardiac Valve Diseases and Treatments 19
- Blood Pressure and Hypertension Studies 13
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications 33
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms 18
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 17
-
- Lipoproteins and Cardiovascular Health 12
-
- Infective Endocarditis Diagnosis and Management 11
- Adipokines, Inflammation, and Metabolic Diseases 10
- Co-authors
- Fernando VivancoGloria Álvarez‐LlamasFernando de la CuestaLuis Rodrı́guez PadialVerónica M. DardéIrene ZubiriMaría Posada-AyalaFélix Gil-Dones
- Journals
- Antioxidants (6 papers)Journal of Proteomics (6 papers)Journal of Proteome Research (5 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
María G. Barderas
120 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 111
- Nephrology 270
- Cardiology and Cardiovascular Medicine 627
- Spectroscopy 450
- Cancer Research 356
- Molecular Biology 1.1k
Countries citing papers authored by María G. Barderas
This map shows the geographic impact of María G. Barderas'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 G. Barderas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María G. Barderas more than expected).
Fields of papers citing papers by María G. Barderas
This network shows the impact of papers produced by María G. Barderas. 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 G. Barderas. The network helps show where María G. Barderas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside María G. Barderas, 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 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 12 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 47 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 12 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 2 | |
| 16 | 2020 | 13 | |
| 17 | 2019 | 4 | |
| 18 | 2018 | 11 | |
| 19 | 2013 | 21 | |
| 20 | 2012 | 9 |
About María G. Barderas
María G. Barderas is a scholar working on Spectroscopy, Cardiology and Cardiovascular Medicine and Nephrology, having authored 123 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (33 papers), Cardiac Valve Diseases and Treatments (19 papers), Protease and Inhibitor Mechanisms (18 papers), Metabolomics and Mass Spectrometry Studies (17 papers), Blood Pressure and Hypertension Studies (13 papers), Lipoproteins and Cardiovascular Health (12 papers), Infective Endocarditis Diagnosis and Management (11 papers) and Adipokines, Inflammation, and Metabolic Diseases (10 papers). The work is most often cited by research in Nephrology (270 citations), Cardiology and Cardiovascular Medicine (627 citations) and Spectroscopy (450 citations). María G. Barderas has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Fernando Vivanco, Gloria Álvarez‐Llamas, Fernando de la Cuesta, Luis Rodrı́guez Padial, Verónica M. Dardé, Irene Zubiri, María Posada-Ayala, Félix Gil-Dones, Marta Martin‐Lorenzo and Luís M. Ruilope. Their work appears in journals such as Antioxidants, Journal of Proteomics, Journal of Proteome Research, Translational research and Scientific 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.