Eva Aguilera
Impact in
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- Diabetes Management and Research
- Diabetes Treatment and Management
- Growth Hormone and Insulin-like Growth Factors
- Diet, Metabolism, and Disease
- Genetics top 10%
- Diabetes and associated disorders
Papers in
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- Diabetes Management and Research 17
- Diabetes, Cardiovascular Risks, and Lipoproteins 2
- Genetics 19
- Diabetes and associated disorders 19
- Co-authors
- Ignacio Conget (9 shared papers)Roser Casamitjana (9 shared papers)Anna Sanmartı́ (4 shared papers)Ramón Gomis (4 shared papers)María Luisa Granada (6 shared papers)Berta Soldevila (5 shared papers)Marta Vives‐Pi (5 shared papers)Manel Puig‐Domingo (6 shared papers)
In The Last Decade
Eva Aguilera
34 papers receiving 531 citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 333
- Genetics 217
- Surgery 217
- Immunology 73
- Cardiology and Cardiovascular Medicine 53
Countries citing papers authored by Eva Aguilera
This map shows the geographic impact of Eva Aguilera'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 Eva Aguilera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Aguilera more than expected).
Fields of papers citing papers by Eva Aguilera
This network shows the impact of papers produced by Eva Aguilera. 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 Eva Aguilera. The network helps show where Eva Aguilera may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Aguilera, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 63 | |
| 2 | 2019 | 43 | |
| 3 | 2008 | 35 | |
| 4 | 2010 | 28 | |
| 5 | 2023 | 26 | |
| 6 | 2018 | 26 | |
| 7 | 2004 | 26 | |
| 8 | 2007 | 24 | |
| 9 | 2019 | 24 | |
| 10 | 2001 | 22 | |
| 11 | 2015 | 21 | |
| 12 | 2022 | 20 | |
| 13 | 2003 | 20 | |
| 14 | 2017 | 19 | |
| 15 | 2000 | 18 | |
| 16 | 2020 | 15 | |
| 17 | 1999 | 14 | |
| 18 | 2015 | 13 | |
| 19 | 2010 | 12 | |
| 20 | 2019 | 12 |
About Eva Aguilera
Eva Aguilera is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 34 papers that have together received 540 indexed citations. Recurring topics across this work include Diabetes and associated disorders (19 papers), Diabetes Management and Research (17 papers), Pancreatic function and diabetes (16 papers), Phagocytosis and Immune Regulation (3 papers), Immune Cell Function and Interaction (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Cardiovascular Health and Disease Prevention (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (333 citations), Genetics (217 citations), Surgery (217 citations), Immunology (73 citations) and Cardiology and Cardiovascular Medicine (53 citations). Eva Aguilera has collaborated with scholars based in Spain, Italy and Australia. Frequent co-authors include Ignacio Conget, Roser Casamitjana, Anna Sanmartı́, Ramón Gomis, María Luisa Granada, Berta Soldevila, Marta Vives‐Pi, Manel Puig‐Domingo, Jordi L. Reverter and Mary Cano‐Sarabia. Their work appears in journals such as Diabetes Care, Journal of Diabetes Science and Technology, Frontiers in Immunology, Diabetic Medicine and Diabetes Research and Clinical Practice.
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.