Eva Gil‐Iturbe
Impact in
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- Adipose Tissue and Metabolism
- Diet and metabolism studies
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- Fatty Acid Research and Health
Papers in
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- Metabolism, Diabetes, and Cancer 4
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- Adipose Tissue and Metabolism 3
- Co-authors
- María J. Moreno‐Aliaga (9 shared papers)M. Pilar Lostao (8 shared papers)Neira Sáinź (6 shared papers)Marta Fernández‐Galilea (4 shared papers)Matthias Quick (10 shared papers)Jesmond Dalli (1 shared paper)José M. Arbones-Mainar (1 shared paper)J. Alfredo Martínéz (1 shared paper)
- Journals
- Nature Communications (2 papers)Journal of Physiology and Biochemistry (2 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Nutritional Biochemistry (2 papers)PLoS Pathogens (2 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Eva Gil‐Iturbe
18 papers receiving 227 citations
Peers
Comparison fields: 5 of 60
- Physiology 98
- Nutrition and Dietetics 41
- Rehabilitation 13
- Epidemiology 65
- Biochemistry 15
Countries citing papers authored by Eva Gil‐Iturbe
This map shows the geographic impact of Eva Gil‐Iturbe'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 Gil‐Iturbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Gil‐Iturbe more than expected).
Fields of papers citing papers by Eva Gil‐Iturbe
This network shows the impact of papers produced by Eva Gil‐Iturbe. 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 Gil‐Iturbe. The network helps show where Eva Gil‐Iturbe may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Gil‐Iturbe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 37 | |
| 2 | 2021 | 28 | |
| 3 | 2019 | 22 | |
| 4 | 2022 | 21 | |
| 5 | 2023 | 15 | |
| 6 | 2019 | 15 | |
| 7 | 2019 | 15 | |
| 8 | 2018 | 12 | |
| 9 | 2022 | 12 | |
| 10 | 2024 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2018 | 5 | |
| 16 | 2025 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Eva Gil‐Iturbe
Eva Gil‐Iturbe is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Epidemiology, having authored 21 papers that have together received 227 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (5 papers), Fatty Acid Research and Health (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Malaria Research and Control (3 papers), Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Drug Transport and Resistance Mechanisms (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Physiology (98 citations), Nutrition and Dietetics (41 citations), Rehabilitation (13 citations), Epidemiology (65 citations) and Biochemistry (15 citations). Eva Gil‐Iturbe has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include María J. Moreno‐Aliaga, M. Pilar Lostao, Neira Sáinź, Marta Fernández‐Galilea, Matthias Quick, Jesmond Dalli, José M. Arbones-Mainar, J. Alfredo Martínéz, Lucy Ly and María Collantes. Their work appears in journals such as Nature Communications, Journal of Physiology and Biochemistry, Proceedings of the National Academy of Sciences, The Journal of Nutritional Biochemistry and PLoS Pathogens.
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.