Carolina Gutiérrez‐Repiso
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Surgery top 10%
- Epidemiology top 10%
- Co-authors
- Eduardo Garcı́a-FuentesFrancisco J. TinahonesFederico SoriguerIsabel Moreno‐IndiasSonsoles MorcilloSergio ValdésGemma Rojo‐MartínezElehazara Rubio‐Martín
- Topics
- Diet and metabolism studies (16 papers)Adipose Tissue and Metabolism (15 papers)Gut microbiota and health (14 papers)
In The Last Decade
Carolina Gutiérrez‐Repiso
72 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 100
- Physiology 620
- Endocrinology, Diabetes and Metabolism 479
- Molecular Biology 468
- Surgery 301
- Epidemiology 297
Countries citing papers authored by Carolina Gutiérrez‐Repiso
This map shows the geographic impact of Carolina Gutiérrez‐Repiso'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 Carolina Gutiérrez‐Repiso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolina Gutiérrez‐Repiso more than expected).
Fields of papers citing papers by Carolina Gutiérrez‐Repiso
This network shows the impact of papers produced by Carolina Gutiérrez‐Repiso. 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 Carolina Gutiérrez‐Repiso. The network helps show where Carolina Gutiérrez‐Repiso may publish in the future.
Co-authorship network of co-authors of Carolina Gutiérrez‐Repiso
This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Gutiérrez‐Repiso. A scholar is included among the top collaborators of Carolina Gutiérrez‐Repiso 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 Carolina Gutiérrez‐Repiso. Carolina Gutiérrez‐Repiso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 16 | |
| 6 | 18 | |
| 7 | 24 | |
| 8 | 10 | |
| 9 | 8 | |
| 10 | 26 | |
| 11 | 19 | |
| 12 | 11 | |
| 13 | 51 | |
| 14 | 16 | |
| 15 | 39 | |
| 16 | 34 | |
| 17 | 7 | |
| 18 | 18 | |
| 19 | 28 | |
| 20 | 60 |
About Carolina Gutiérrez‐Repiso
Carolina Gutiérrez‐Repiso is a scholar working on Obstetrics and Gynecology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 75 papers that have together received 1.6k indexed citations. Recurring topics across this work include Diet and metabolism studies (16 papers), Adipose Tissue and Metabolism (15 papers) and Gut microbiota and health (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (479 citations), Physiology (620 citations) and Endocrine and Autonomic Systems (113 citations). Carolina Gutiérrez‐Repiso has collaborated with scholars based in Spain, France and Austria. Frequent co-authors include Eduardo Garcı́a-Fuentes, Francisco J. Tinahones, Federico Soriguer, Isabel Moreno‐Indias, Sonsoles Morcillo, Sergio Valdés, Gemma Rojo‐Martínez, Elehazara Rubio‐Martín, Lourdes Garrido‐Sánchez and Sara García‐Serrano. Their work appears in journals such as The Science of The Total Environment, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.
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.