Ainara Cano

896 citations
26 papers · 623 · h-index 14

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 4
    • Mitochondrial Function and Pathology 3
    • Lipid Membrane Structure and Behavior 3
    • Liver Disease Diagnosis and Treatment 8

Ainara Cano

25 papers receiving 615 citations

Peers

Ainara Cano
Comparison fields: 5 of 87
  • Biochemistry 71
  • Epidemiology 234
  • Endocrinology, Diabetes and Metabolism 115
  • Hepatology 46
  • Rheumatology 82
Replace Xabier Buqué with:
Xabier Buqué Spain
Claudia Anzivino Italy
Christian von Loeffelholz Germany
Peter Linfoot United States
Vanna Fierabracci Italy
Pablo Solís‐Muñoz Spain
Teri A. Frosto United States
Wen Liang Netherlands
Nadia Bortolotti Italy
Veronika Tillander Sweden
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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201393
2 201174
3 201072
4 200970
5 201644
6 201237
7 202332
8 200929
9 201424
10 201721
11 201816
12
[Changes in the lipid profile in chronic hepatopathies].
199415
13 202315
14 202014
15 201711
16 201410
17 201910
18 20219
19 20217
20 20157

About Ainara Cano

Ainara Cano is a scholar working on Molecular Biology, Epidemiology, Rheumatology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 623 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Folate and B Vitamins Research (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Mitochondrial Function and Pathology (3 papers), Diet, Metabolism, and Disease (3 papers), Lipid Membrane Structure and Behavior (3 papers), Metabolism and Genetic Disorders (2 papers) and Drug-Induced Hepatotoxicity and Protection (2 papers). The work is most often cited by research in Biochemistry (71 citations), Epidemiology (234 citations), Endocrinology, Diabetes and Metabolism (115 citations), Hepatology (46 citations) and Rheumatology (82 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, Elena Bravo, Shelly C. Lu and Juan L. García‐Rodríguez. Their work appears in journals such as Hepatology, Chemistry and Physics of Lipids, Journal of Lipid Research, Biomedicines 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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