Daiana Ibarretxe
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Cancer Research
- Co-authors
- L. MasanaNúria PlanaJosefa GironaMercedes HerasRicardo Rodríguez‐CalvoRaimón FerréCèlia Rodríguez-BorjabadNúria Amigó
- Topics
- Lipoproteins and Cardiovascular Health (43 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (30 papers)Lipid metabolism and disorders (21 papers)
In The Last Decade
Daiana Ibarretxe
78 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Surgery 475
- Endocrinology, Diabetes and Metabolism 314
- Cardiology and Cardiovascular Medicine 288
- Molecular Biology 217
- Cancer Research 142
Countries citing papers authored by Daiana Ibarretxe
This map shows the geographic impact of Daiana Ibarretxe'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 Daiana Ibarretxe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiana Ibarretxe more than expected).
Fields of papers citing papers by Daiana Ibarretxe
This network shows the impact of papers produced by Daiana Ibarretxe. 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 Daiana Ibarretxe. The network helps show where Daiana Ibarretxe may publish in the future.
Co-authorship network of co-authors of Daiana Ibarretxe
This figure shows the co-authorship network connecting the top 25 collaborators of Daiana Ibarretxe. A scholar is included among the top collaborators of Daiana Ibarretxe 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 Daiana Ibarretxe. Daiana Ibarretxe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Evaluation of glycemic status and subclinical atherosclerosis in familial hypercholesterolemia subjects with or without LDL receptor mutationbreakdown → | 16 |
| 2 | 12 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 34 | |
| 17 | 2 | |
| 18 | 8 | |
| 19 | 19 | |
| 20 | 3 |
About Daiana Ibarretxe
Daiana Ibarretxe is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (43 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (30 papers) and Lipid metabolism and disorders (21 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (314 citations), Cardiology and Cardiovascular Medicine (288 citations) and Surgery (475 citations). Daiana Ibarretxe has collaborated with scholars based in Spain, Italy and Norway. Frequent co-authors include L. Masana, Núria Plana, Josefa Girona, Mercedes Heras, Ricardo Rodríguez‐Calvo, Raimón Ferré, Cèlia Rodríguez-Borjabad, Núria Amigó, Alba Bosquet and Anna Cabré. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and International Journal of Molecular Sciences.
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.