Eva García‐Escobar
- Physiology top 10%
- Nutrition and Dietetics top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Co-authors
- Gemma Rojo‐MartínezFederico SoriguerEduardo Garcı́a-FuentesGabriel OlveiraSara García‐SerranoSonsoles MorcilloSergio ValdésFrancisca Rodríguez‐Pacheco
- Topics
- Adipose Tissue and Metabolism (11 papers)Fatty Acid Research and Health (10 papers)Adipokines, Inflammation, and Metabolic Diseases (9 papers)
- Partner nations
- SpainUnited StatesQatar
In The Last Decade
Eva García‐Escobar
39 papers receiving 781 citations
Peers
Comparison fields: 5 of 91
- Physiology 261
- Nutrition and Dietetics 215
- Molecular Biology 186
- Endocrinology, Diabetes and Metabolism 161
- Epidemiology 159
Countries citing papers authored by Eva García‐Escobar
This map shows the geographic impact of Eva García‐Escobar'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 García‐Escobar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva García‐Escobar more than expected).
Fields of papers citing papers by Eva García‐Escobar
This network shows the impact of papers produced by Eva García‐Escobar. 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 García‐Escobar. The network helps show where Eva García‐Escobar may publish in the future.
Co-authorship network of co-authors of Eva García‐Escobar
This figure shows the co-authorship network connecting the top 25 collaborators of Eva García‐Escobar. A scholar is included among the top collaborators of Eva García‐Escobar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva García‐Escobar. Eva García‐Escobar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 26 | |
| 7 | 9 | |
| 8 | 14 | |
| 9 | 19 | |
| 10 | 15 | |
| 11 | 28 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 33 | |
| 15 | 26 | |
| 16 | 60 | |
| 17 | 38 | |
| 18 | 15 | |
| 19 | 10 | |
| 20 | 26 |
About Eva García‐Escobar
Eva García‐Escobar is a scholar working on Nutrition and Dietetics, Physiology and Endocrinology, Diabetes and Metabolism, having authored 42 papers that have together received 795 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Fatty Acid Research and Health (10 papers) and Adipokines, Inflammation, and Metabolic Diseases (9 papers). The work is most often cited by research in Nutrition and Dietetics (215 citations), Physiology (261 citations) and Endocrinology, Diabetes and Metabolism (161 citations). Eva García‐Escobar has collaborated with scholars based in Spain, United States and Qatar. Frequent co-authors include Gemma Rojo‐Martínez, Federico Soriguer, Eduardo Garcı́a-Fuentes, Gabriel Olveira, Sara García‐Serrano, Sonsoles Morcillo, Sergio Valdés, Francisca Rodríguez‐Pacheco, Montserrat Gonzalo and Lourdes Garrido‐Sánchez. Their work appears in journals such as PLoS ONE, Journal of Lipid Research and International Journal of Obesity.
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.