Eva Morán‐Salvador

2.4k citations
16 papers · 2.0k indexed · h-index 14

Eva Morán‐Salvador

15 papers receiving 2.0k citations

Peers

Eva Morán‐Salvador
Comparison fields: 5 of 93
  • Biochemistry 451
  • Nutrition and Dietetics 674
  • Epidemiology 968
  • Hepatology 165
  • Endocrinology, Diabetes and Metabolism 326
Replace Ana González‐Périz with:
Ana González‐Périz Spain
Bibiana Rius Spain
Marta López‐Parra Spain
Marcos Martínez‐Clemente Spain
Cristina López‐Vicario Spain
Raquel Horrillo Spain
Verónica García‐Alonso Spain
Fatiha Nassir United States
Tomáš Jeleník Germany
Daniel Lindén Sweden
Eva Morán‐Salvador relative to Ana González‐Périz Spain Ana González‐Périz's profile →
Citations per field
00.5×1.5×
Ana González‐Périz · 1×
Citations per year

Countries citing papers authored by Eva Morán‐Salvador

Since Specialization
Citations

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

Fields of papers citing papers by Eva Morán‐Salvador

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Morán‐Salvador. 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 Eva Morán‐Salvador. The network helps show where Eva Morán‐Salvador may publish in the future.

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 201938
2 2017103
3 201364
4 2013112
5 201395
6 201392
7 201265
8 2011333
9 2011347
10 2010129
11 201062
12 20109
13 200924
14 200990
15 2009475
16 20080

About Eva Morán‐Salvador

Eva Morán‐Salvador is a scholar working on Biochemistry, Epidemiology, Hepatology, Nutrition and Dietetics and Endocrine and Autonomic Systems, having authored 16 papers that have together received 2.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Fatty Acid Research and Health (3 papers), Adipose Tissue and Metabolism (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Biochemistry (451 citations), Nutrition and Dietetics (674 citations), Epidemiology (968 citations), Hepatology (165 citations) and Endocrinology, Diabetes and Metabolism (326 citations). Eva Morán‐Salvador has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Esther Titos, Ana González‐Périz, Joan Clària, Vicente Arroyo, Marcos Martínez‐Clemente, Cristina López‐Vicario, Marta López‐Parra, Bibiana Rius, Verónica García‐Alonso and Raquel Horrillo. Their work appears in journals such as The FASEB Journal, The Journal of Immunology, Journal of Hepatology, Hepatology and Journal of Biological Chemistry.

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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