Gloria Álvarez‐Llamas
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes 11
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications 25
- Mass Spectrometry Techniques and Applications 11
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms 10
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 20
- Extracellular vesicles in disease 13
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- Blood Pressure and Hypertension Studies 11
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- Lipoproteins and Cardiovascular Health 6
- Co-authors
- Fernando VivancoMaría G. BarderasFernando de la CuestaMarta Martin‐LorenzoIrene ZubiriLaura Gonzalez‐CaleroMaría Posada-AyalaHan Roelofsen
- Journals
- SHILAP Revista de lepidopterología (2 papers)Blood (1 paper)PLoS ONE (2 papers)
- Partner nations
- SpainNetherlandsUnited Kingdom
In The Last Decade
Gloria Álvarez‐Llamas
95 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 127
- Nephrology 354
- Spectroscopy 463
- Cancer Research 305
- Molecular Biology 1.2k
- Cardiology and Cardiovascular Medicine 388
Countries citing papers authored by Gloria Álvarez‐Llamas
This map shows the geographic impact of Gloria Álvarez‐Llamas'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 Gloria Álvarez‐Llamas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gloria Álvarez‐Llamas more than expected).
Fields of papers citing papers by Gloria Álvarez‐Llamas
This network shows the impact of papers produced by Gloria Álvarez‐Llamas. 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 Gloria Álvarez‐Llamas. The network helps show where Gloria Álvarez‐Llamas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gloria Álvarez‐Llamas, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 9 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 47 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 26 | |
| 16 | 2020 | 2 | |
| 17 | 2020 | 13 | |
| 18 | 2018 | 11 | |
| 19 | 2013 | 21 | |
| 20 | Characterization of the human visceral adipose tissue secretome | 2007 | 58 |
About Gloria Álvarez‐Llamas
Gloria Álvarez‐Llamas is a scholar working on Nephrology, Spectroscopy and Cardiology and Cardiovascular Medicine, having authored 96 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (25 papers), Metabolomics and Mass Spectrometry Studies (20 papers), Extracellular vesicles in disease (13 papers), Chronic Kidney Disease and Diabetes (11 papers), Mass Spectrometry Techniques and Applications (11 papers), Blood Pressure and Hypertension Studies (11 papers), Protease and Inhibitor Mechanisms (10 papers) and Lipoproteins and Cardiovascular Health (6 papers). The work is most often cited by research in Nephrology (354 citations), Spectroscopy (463 citations) and Cancer Research (305 citations). Gloria Álvarez‐Llamas has collaborated with scholars based in Spain, Netherlands and United Kingdom. Frequent co-authors include Fernando Vivanco, María G. Barderas, Fernando de la Cuesta, Marta Martin‐Lorenzo, Irene Zubiri, Laura Gonzalez‐Calero, María Posada-Ayala, Han Roelofsen, Roel J. Vonk and Alfredo Sanz‐Medel. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood 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.