Núria Amigó

1.7k total citations
92 papers, 1.1k citations indexed

About

Núria Amigó is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Núria Amigó has authored 92 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Endocrinology, Diabetes and Metabolism, 27 papers in Cardiology and Cardiovascular Medicine and 26 papers in Molecular Biology. Recurrent topics in Núria Amigó's work include Diabetes, Cardiovascular Risks, and Lipoproteins (24 papers), Metabolomics and Mass Spectrometry Studies (22 papers) and Lipoproteins and Cardiovascular Health (21 papers). Núria Amigó is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (24 papers), Metabolomics and Mass Spectrometry Studies (22 papers) and Lipoproteins and Cardiovascular Health (21 papers). Núria Amigó collaborates with scholars based in Spain, United States and Italy. Núria Amigó's co-authors include Xavier Correig, L. Masana, Mercedes Heras, Núria Plana, Josefa Girona, Daiana Ibarretxe, Roger Mallol, Josep Ribalta, María Vinaixa and Óscar Yanes and has published in prestigious journals such as Analytical Chemistry, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Núria Amigó

85 papers receiving 1.1k citations

Peers

Núria Amigó
Núria Amigó
Citations per year, relative to Núria Amigó Núria Amigó (= 1×) peers Nataša Bogavac‐Stanojević

Countries citing papers authored by Núria Amigó

Since Specialization
Citations

This map shows the geographic impact of Núria Amigó'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 Núria Amigó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Núria Amigó more than expected).

Fields of papers citing papers by Núria Amigó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Núria Amigó. 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 Núria Amigó. The network helps show where Núria Amigó may publish in the future.

Co-authorship network of co-authors of Núria Amigó

This figure shows the co-authorship network connecting the top 25 collaborators of Núria Amigó. A scholar is included among the top collaborators of Núria Amigó 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 Núria Amigó. Núria Amigó is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Amigó, Núria, Esmeralda Castelblanco, Josep Julve, et al.. (2025). Advanced serum lipoprotein and glycoprotein profiling for cardiovascular event prediction in type 2 diabetes mellitus: the LIPOCAT study. Cardiovascular Diabetology. 24(1). 88–88.
2.
López‐Tejero, M. Dolores, Núria Amigó, Marcelino Bermúdez-López, et al.. (2025). A Potential Ratio for Detecting Subclinical Atherosclerosis: Insight into Advanced NMR Lipid Profiles in Severe Obesity. Journal of Cardiovascular Translational Research. 18(6). 1805–1817.
3.
Amigó, Núria, Neus Martínez-Micaelo, M. Pilar Velasco, et al.. (2024). Identification of a molecular signature associated with covid-19 severity using a comprehensive 1H-NMR serum metabolomics profiling strategy. Atherosclerosis. 395. 117832–117832. 1 indexed citations
5.
Quifer‐Rada, Paola, et al.. (2024). Metabolomics Approach to Identify Biomarkers of Acute and Subacute Mastitis in Milk Samples: A Pilot Case–Control Study. Metabolites. 14(10). 566–566. 1 indexed citations
6.
Saballs, Mireia, Sandra Parra, Núria Amigó, et al.. (2024). Lipidomic and metabolomic changes in community-acquired and COVID-19 pneumonia. Journal of Lipid Research. 65(9). 100622–100622. 9 indexed citations
7.
Miranda, Jezid, Cristina Paulés, Guillaume Noell, et al.. (2023). Similarity network fusion to identify phenotypes of small-for-gestational-age fetuses. iScience. 26(9). 107620–107620. 3 indexed citations
8.
Girona, Josefa, Montse Guardiola, Núria Plana, et al.. (2023). PCSK9 Inhibitors Have Apolipoprotein C-III-Related Anti-Inflammatory Activity, Assessed by 1H-NMR Glycoprotein Profile in Subjects at High or very High Cardiovascular Risk. International Journal of Molecular Sciences. 24(3). 2319–2319. 7 indexed citations
9.
Martínez-Micaelo, Neus, Laura Galián-Gay, L. Masana, et al.. (2022). Glycoprotein and Lipoprotein Profiles Assessed by 1H-NMR and Its Relation to Ascending Aortic Dilatation in Bicuspid Aortic Valve Disease. Journal of Clinical Medicine. 12(1). 332–332. 1 indexed citations
10.
Brugnara, Laura, Serafín Murillo, Josep Ribalta, et al.. (2022). Muscular carnosine is a marker for cardiorespiratory fitness and cardiometabolic risk factors in men with type 1 diabetes. European Journal of Applied Physiology. 122(6). 1429–1440. 1 indexed citations
11.
Clerbaux, Laure‐Alix, Maria Cristina Albertini, Núria Amigó, et al.. (2022). Factors Modulating COVID-19: A Mechanistic Understanding Based on the Adverse Outcome Pathway Framework. Journal of Clinical Medicine. 11(15). 4464–4464. 20 indexed citations
12.
Baiges‐Gayà, Gerard, Elisabet Rodríguez‐Tomàs, Helena Castañé, et al.. (2022). Combining Dietary Intervention with Metformin Treatment Enhances Non-Alcoholic Steatohepatitis Remission in Mice Fed a High-Fat High-Sucrose Diet. Biomolecules. 12(12). 1787–1787. 4 indexed citations
13.
Fernández‐Millán, Elisa, Sonia Ramos, Sara Samino, et al.. (2022). Urinary Metabolomics Study on the Protective Role of Cocoa in Zucker Diabetic Rats via 1H-NMR-Based Approach. Nutrients. 14(19). 4127–4127. 1 indexed citations
14.
Laguna, Ariadna, Helena Xicoy, Eduardo Tolosa, et al.. (2021). Serum metabolic biomarkers for synucleinopathy conversion in isolated REM sleep behavior disorder. npj Parkinson s Disease. 7(1). 40–40. 11 indexed citations
15.
Castelblanco, Esmeralda, Jordi Real, Marta Hernández, et al.. (2021). Advanced Quantitative Lipoprotein Characteristics Do Not Relate to Healthy Dietary Patterns in Adults from a Mediterranean Area. Nutrients. 13(12). 4369–4369. 1 indexed citations
16.
Amigó, Núria, Emili Corbella, Carlos Brotons, et al.. (2021). Physicochemical Properties of Lipoproteins Assessed by Nuclear Magnetic Resonance as a Predictor of Premature Cardiovascular Disease. PRESARV-SEA Study. Journal of Clinical Medicine. 10(7). 1379–1379. 5 indexed citations
17.
Rodríguez‐Tomàs, Elisabet, M. Murcia, Meritxell Arenas, et al.. (2019). Serum Paraoxonase-1-Related Variables and Lipoprotein Profile in Patients with Lung or Head and Neck Cancer: Effect of Radiotherapy. Antioxidants. 8(7). 213–213. 17 indexed citations
18.
Amigó, Núria, et al.. (2019). Biological Response to Meal Ingestion: Gender Differences. Nutrients. 11(3). 702–702. 16 indexed citations
19.
Amigó, Núria, et al.. (2019). Meal Enjoyment and Tolerance in Women and Men. Nutrients. 11(1). 119–119. 14 indexed citations
20.
Malagelada, Carolina, Nicolau Cañellas, Josep Gómez, et al.. (2018). Metabolomic signature of the postprandial experience. Neurogastroenterology & Motility. 30(12). e13447–e13447. 7 indexed citations

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.

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