Eva Ausó

2.2k citations
21 papers · 1.7k · h-index 15

Impact in

Papers in

Eva Ausó

20 papers receiving 1.6k citations

Peers

Eva Ausó
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 971
  • Endocrine and Autonomic Systems 209
  • Pediatrics, Perinatology and Child Health 423
  • Developmental Neuroscience 66
  • Behavioral Neuroscience 57
Replace Allen W. Cowley with:
Allen W. Cowley United States
G. Morreale de Escobar Spain
Marcia Hiriart Mexico
Adriana L. Burgueño Argentina
Christopher J. Kenyon United Kingdom
Sumiko Morimoto Mexico
R.G. Ahmed Egypt
Jean‐Paul Dupouy France
Charles H. Emerson United States
R.-D. Hesch Germany
Eva Ausó relative to Allen W. Cowley United States Allen W. Cowley's profile →
Citations per field
00.5×2.8×
Allen W. Cowley · 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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004354
2 2003328
3 2003304
4 2006142
5 202094
6 200588
7 200975
8 200165
9 201062
10 201944
11 202126
12 201326
13 200126
14 201414
15 202114
16 20206
17 20232
18 20241
19 20241
20 20221

About Eva Ausó

Eva Ausó is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (9 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Muscle metabolism and nutrition (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Pregnancy and preeclampsia studies (2 papers), Neonatal and fetal brain pathology (2 papers), Genomics and Phylogenetic Studies (2 papers) and Sports injuries and prevention (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (971 citations), Endocrine and Autonomic Systems (209 citations), Pediatrics, Perinatology and Child Health (423 citations), Developmental Neuroscience (66 citations) and Behavioral Neuroscience (57 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, Carmen Grijota-Martínez, Martin Telefont and Constantino Sotelo. Their work appears in journals such as PLoS ONE, Nutrients, Journal of Clinical Investigation, Endocrinology and European Journal of Neuroscience.

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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