Núria Amigó
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Obstetrics and Gynecology top 10%
Papers in
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- Metabolomics and Mass Spectrometry Studies 17
- Glycosylation and Glycoproteins Research 4
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- Diabetes, Cardiovascular Risks, and Lipoproteins 13
- Co-authors
- Xavier Correig (24 shared papers)L. Masana (26 shared papers)Núria Plana (16 shared papers)Mercedes Heras (11 shared papers)Josefa Girona (17 shared papers)Daiana Ibarretxe (16 shared papers)Roger Mallol (6 shared papers)Josep Ribalta (17 shared papers)
- Journals
- Atherosclerosis (8 papers)Journal of Clinical Medicine (7 papers)Cardiovascular Diabetology (6 papers)Scientific Reports (6 papers)Nutrients (5 papers)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Núria Amigó
87 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 98
- Endocrinology, Diabetes and Metabolism 198
- Obstetrics and Gynecology 53
- Cardiology and Cardiovascular Medicine 146
- Nutrition and Dietetics 97
- Biological Psychiatry 12
Countries citing papers authored by Núria Amigó
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
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-authors
The 25 scholars most cited alongside Núria Amigó, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 142 | |
| 2 | 2019 | 73 | |
| 3 | 2018 | 48 | |
| 4 | 2018 | 47 | |
| 5 | 2018 | 42 | |
| 6 | 2019 | 40 | |
| 7 | 2015 | 35 | |
| 8 | 2016 | 32 | |
| 9 | 2017 | 31 | |
| 10 | 2022 | 28 | |
| 11 | 2016 | 28 | |
| 12 | 2014 | 21 | |
| 13 | 2022 | 20 | |
| 14 | 2019 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2019 | 18 | |
| 17 | 2021 | 18 | |
| 18 | 2020 | 17 | |
| 19 | 2019 | 17 | |
| 20 | 2022 | 17 |
About Núria Amigó
Núria Amigó is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 94 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Lipoproteins and Cardiovascular Health (12 papers), Liver Disease Diagnosis and Treatment (9 papers), Cardiovascular Function and Risk Factors (7 papers), Birth, Development, and Health (5 papers), Diet and metabolism studies (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (198 citations), Obstetrics and Gynecology (53 citations), Cardiology and Cardiovascular Medicine (146 citations), Nutrition and Dietetics (97 citations) and Biological Psychiatry (12 citations). Núria Amigó has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Xavier Correig, L. Masana, Núria Plana, Mercedes Heras, Josefa Girona, Daiana Ibarretxe, Roger Mallol, Josep Ribalta, María Vinaixa and Óscar Yanes. Their work appears in journals such as Atherosclerosis, Journal of Clinical Medicine, Cardiovascular Diabetology, Scientific Reports and Nutrients.
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.