Gemma Aragonès

1.2k citations
39 papers · 982 · h-index 21

Impact in

    • Advanced Glycation End Products research
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Adipokines, Inflammation, and Metabolic Diseases

Papers in

Gemma Aragonès

38 papers receiving 969 citations

Peers

Gemma Aragonès
Comparison fields: 5 of 80
  • Clinical Biochemistry 69
  • Epidemiology 246
  • Endocrinology, Diabetes and Metabolism 120
  • Physiology 169
  • Biochemistry 46
Replace Angelika Freudenthaler with:
Angelika Freudenthaler Austria
Hisazumi Araki Japan
Xuejing Zhu China
Yusuke Sakamaki Japan
Chang Joo Oh South Korea
Takashi Etoh Japan
Hailing Li China
Takeyoshi Murano Japan
Noemí Cabré Spain
Eiichi Imano Japan
Gemma Aragonès relative to Angelika Freudenthaler Austria Angelika Freudenthaler's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gemma Aragonès

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Aragonès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gemma Aragonès, 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 Gemma Aragonès Line = papers co-authored together Gemma Aragonès links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201266
2 201959
3 201058
4 201453
5 201951
6 201649
7 201548
8 202044
9 202038
10 202032
11 202132
12 201531
13 201631
14 201529
15 201728
16 201127
17 201425
18 201624
19 201223
20 201523

About Gemma Aragonès

Gemma Aragonès is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Clinical Biochemistry, Physiology and Biochemistry, having authored 39 papers that have together received 982 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (7 papers), Cardiovascular Health and Disease Prevention (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Advanced Glycation End Products research (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Lipid metabolism and biosynthesis (2 papers), Diet and metabolism studies (2 papers) and Nutritional Studies and Diet (2 papers). The work is most often cited by research in Clinical Biochemistry (69 citations), Epidemiology (246 citations), Endocrinology, Diabetes and Metabolism (120 citations), Physiology (169 citations) and Biochemistry (46 citations). Gemma Aragonès has collaborated with scholars based in Spain, United States and Belgium. Frequent co-authors include Cristóbal Richart, Teresa Auguet, Carmen Aguilar, Luis Masana, Mercedes Heras, Josefa Girona, Salomé Martínez, Jordi Merino, Daniel Del Castillo and Raimón Ferré. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Atherosclerosis, International Journal of Obesity 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.

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