Ainara Cano

881 citations
25 papers · 589 · h-index 13

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 4
    • Lipid Membrane Structure and Behavior 3
    • Peroxisome Proliferator-Activated Receptors 3
    • Mitochondrial Function and Pathology 3
    • Liver Disease Diagnosis and Treatment 12

Ainara Cano

24 papers receiving 581 citations

Peers

Ainara Cano
Comparison fields: 5 of 89
  • Biochemistry 75
  • Endocrinology, Diabetes and Metabolism 138
  • Epidemiology 278
  • Hepatology 58
  • Clinical Biochemistry 42
Replace Xabier Buqué with:
Xabier Buqué Spain
Pablo Solís‐Muñoz Spain
Carla Guzmán Spain
C. A. Barth Germany
Maria Rosaria Odoardi Italy
Bowen Li China
Jason J. Yuen United States
Leyre Martínez‐Fernández Spain
Teri A. Frosto United States
Laura M. Laiglesia Spain
Ainara Cano relative to Xabier Buqué Spain Xabier Buqué's profile →
Citations per field
00.5×1.5×
Xabier Buqué · 1×
Citations per year

Countries citing papers authored by Ainara Cano

Since Specialization
Citations

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

Fields of papers citing papers by Ainara Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201389
2 201170
3 201069
4 200968
5 201642
6 201237
7 202329
8 200927
9 201423
10 201720
11 201816
12 202315
13
[Changes in the lipid profile in chronic hepatopathies].
199415
14 202012
15 201711
16 201910
17 201410
18 20217
19 20157
20 20235

About Ainara Cano

Ainara Cano is a scholar working on Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Rheumatology, having authored 25 papers that have together received 589 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Diet, Metabolism, and Disease (5 papers), Metabolism and Genetic Disorders (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Lipid Membrane Structure and Behavior (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Folate and B Vitamins Research (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Biochemistry (75 citations), Endocrinology, Diabetes and Metabolism (138 citations), Epidemiology (278 citations), Hepatology (58 citations) and Clinical Biochemistry (42 citations). Ainara Cano has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Patricia Aspichueta, Xabier Buqué, Begoña Ochoa, Cristina Alonso, José M. Mato, María E. Miquilena-Colina, Carmelo García‐Monzón, Kathleen M. Botham, Elena Bravo and Igor Aurrekoetxea. Their work appears in journals such as Hepatology, Chemistry and Physics of Lipids, Nutrients, Scientific Reports and Allergy.

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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