Federico Soriguer
- Physiology top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Nutrition and Dietetics top 1%
- Epidemiology top 5%
- Co-authors
- Gemma Rojo‐MartínezFrancisco J. TinahonesJuan Miguel Gómez‐ZumaqueroEduardo Garcı́a-FuentesIsabel EstevaSonsoles MorcilloFernando CardonaGabriel Olveira
- Topics
- Fatty Acid Research and Health (20 papers)Adipose Tissue and Metabolism (17 papers)Nutritional Studies and Diet (14 papers)
- Journals
- PLoS ONEAmerican Journal of Clinical NutritionThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- SpainUnited StatesUruguay
In The Last Decade
Federico Soriguer
130 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Physiology 1.1k
- Endocrinology, Diabetes and Metabolism 1.1k
- Molecular Biology 1.0k
- Nutrition and Dietetics 708
- Epidemiology 697
Countries citing papers authored by Federico Soriguer
This map shows the geographic impact of Federico Soriguer'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 Federico Soriguer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Soriguer more than expected).
Fields of papers citing papers by Federico Soriguer
This network shows the impact of papers produced by Federico Soriguer. 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 Federico Soriguer. The network helps show where Federico Soriguer may publish in the future.
Co-authorship network of co-authors of Federico Soriguer
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Soriguer. A scholar is included among the top collaborators of Federico Soriguer 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 Federico Soriguer. Federico Soriguer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 55 | |
| 3 | 11 | |
| 4 | 14 | |
| 5 | 12 | |
| 6 | 28 | |
| 7 | Gut microbiota in children with type 1 diabetes differs from that in healthy children: a case-control studybreakdown → | 598 |
| 8 | 96 | |
| 9 | 5 | |
| 10 | 33 | |
| 11 | 28 | |
| 12 | 25 | |
| 13 | 60 | |
| 14 | 38 | |
| 15 | Cómo cuantificar la variabilidad glucémica | 2 |
| 16 | 37 | |
| 17 | 19 | |
| 18 | 26 | |
| 19 | 34 | |
| 20 | 50 |
About Federico Soriguer
Federico Soriguer is a scholar working on Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Endocrine and Autonomic Systems, having authored 131 papers that have together received 4.3k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (20 papers), Adipose Tissue and Metabolism (17 papers) and Nutritional Studies and Diet (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Nutrition and Dietetics (708 citations) and Physiology (1.1k citations). Federico Soriguer has collaborated with scholars based in Spain, United States and Uruguay. Frequent co-authors include Gemma Rojo‐Martínez, Francisco J. Tinahones, Juan Miguel Gómez‐Zumaquero, Eduardo Garcı́a-Fuentes, Isabel Esteva, Sonsoles Morcillo, Fernando Cardona, Gabriel Olveira, Sergio Valdés and María Soledad Ruiz de Adana. Their work appears in journals such as PLoS ONE, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.
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.