Daiana Ibarretxe

1.9k citations
83 papers · 1.1k indexed · 1 hit paper · h-index 18

Daiana Ibarretxe

78 papers receiving 1.0k citations

Hit Papers

Evaluation of glycemic status and subclinical atheroscler...162025202651015

Peers

Daiana Ibarretxe
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 314
  • Cardiology and Cardiovascular Medicine 288
  • Surgery 475
  • Cancer Research 142
  • Physiology 130
Replace Michael V. Holmes with:
Michael V. Holmes United Kingdom
Daniel Soffer United States
Akintunde O. Akinkuolie United States
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Estíbaliz Jarauta Spain
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Citations per year

Countries citing papers authored by Daiana Ibarretxe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Daiana Ibarretxe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daiana Ibarretxe Line = papers co-authored together Daiana Ibarretxe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Evaluation of glycemic status and subclinical atherosclerosis in familial hypercholesterolemia subjects with or without LDL receptor mutationbreakdown →
202516
2 202512
3 20241
4 20246
5 20243
6 20240
7 20244
8 20237
9 20238
10 20234
11 20238
12 20231
13 20219
14 20211
15 20207
16 202034
17 20182
18 20188
19 201419
20 20143

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), Lipid metabolism and disorders (21 papers), Cancer, Lipids, and Metabolism (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Liver Disease Diagnosis and Treatment (7 papers) and Diet and metabolism studies (6 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.

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