Eva Ausó

2.2k citations
22 papers · 1.8k · h-index 15

Impact in

Papers in

Eva Ausó

21 papers receiving 1.7k citations

Peers

Eva Ausó
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Endocrine and Autonomic Systems 230
  • Pediatrics, Perinatology and Child Health 481
  • Developmental Neuroscience 75
  • Behavioral Neuroscience 60
Replace Sara Della Torre with:
Sara Della Torre Italy
G. Morreale de Escobar Spain
Allen W. Cowley United States
Noreen F. Rossi United States
Honggang Ye United States
Åsa Tivesten Sweden
Marcia Hiriart Mexico
Christopher J. Kenyon United Kingdom
Adriana L. Burgueño Argentina
R.G. Ahmed Egypt
Eva Ausó relative to Sara Della Torre Italy Sara Della Torre's profile →
Citations per field
00.5×4.0×
Sara Della Torre · 1×
Citations per year

Countries citing papers authored by Eva Ausó

Since Specialization
Citations

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

Fields of papers citing papers by Eva Ausó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004380
2 2003349
3 2003335
4 2006147
5 2020101
6 200596
7 200980
8 200172
9 201067
10 201944
11 200129
12 201327
13 202126
14 201415
15 202114
16 20206
17 20215
18 20232
19 20241
20 20241

About Eva Ausó

Eva Ausó is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pediatrics, Perinatology and Child Health, Genetics and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (10 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Muscle metabolism and nutrition (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Pregnancy and preeclampsia studies (2 papers), Neonatal and fetal brain pathology (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Endocrine and Autonomic Systems (230 citations), Pediatrics, Perinatology and Child Health (481 citations), Developmental Neuroscience (75 citations) and Behavioral Neuroscience (60 citations). Eva Ausó has collaborated with scholars based in Spain, Japan and United States. Frequent co-authors include Pere Berbel, Gabriella Morreale de Escobar, Francisco Escobar del Rey, María C. Arufe, Estela Cuevas‐Romero, Violeta Gómez‐Vicente, Gema Esquiva, Martin Telefont, Carmen Grijota-Martínez and Constantino Sotelo. Their work appears in journals such as Nutrients, Endocrinology, European Journal of Neuroscience, PLoS ONE and Journal of Clinical Investigation.

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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