Sonia Fernández‐Veledo
- Molecular Biology top 5%
- Physiology top 1%
- Epidemiology top 5%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Joan VendrellRocío Vila‐BedmarMargarita LorenzoVictòria Ceperuelo‐MallafréIria Nieto-VázquezLucía García‐GuerraCarolina SerenaMiriam Ejarque
- Topics
- Adipose Tissue and Metabolism (35 papers)Adipokines, Inflammation, and Metabolic Diseases (23 papers)Diet and metabolism studies (19 papers)
- Cited by
- PhysiologyBiological Psychiatry
- Partner nations
- SpainUnited StatesNetherlands
In The Last Decade
Sonia Fernández‐Veledo
104 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 1.8k
- Physiology 1.4k
- Epidemiology 950
- Surgery 590
- Endocrinology, Diabetes and Metabolism 463
Countries citing papers authored by Sonia Fernández‐Veledo
This map shows the geographic impact of Sonia Fernández‐Veledo'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 Sonia Fernández‐Veledo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Fernández‐Veledo more than expected).
Fields of papers citing papers by Sonia Fernández‐Veledo
This network shows the impact of papers produced by Sonia Fernández‐Veledo. 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 Sonia Fernández‐Veledo. The network helps show where Sonia Fernández‐Veledo may publish in the future.
Co-authorship network of co-authors of Sonia Fernández‐Veledo
This figure shows the co-authorship network connecting the top 25 collaborators of Sonia Fernández‐Veledo. A scholar is included among the top collaborators of Sonia Fernández‐Veledo 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 Sonia Fernández‐Veledo. Sonia Fernández‐Veledo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 17 | |
| 7 | 86 | |
| 8 | 21 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 9 | |
| 12 | 48 | |
| 13 | 18 | |
| 14 | 30 | |
| 15 | 31 | |
| 16 | 17 | |
| 17 | 19 | |
| 18 | 29 | |
| 19 | 7 | |
| 20 | 42 |
About Sonia Fernández‐Veledo
Sonia Fernández‐Veledo is a scholar working on Physiology, Physiology and Biological Psychiatry, having authored 106 papers that have together received 4.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (35 papers), Adipokines, Inflammation, and Metabolic Diseases (23 papers) and Diet and metabolism studies (19 papers). The work is most often cited by research in Physiology (1.4k citations), Biological Psychiatry (97 citations) and Physiology (151 citations). Sonia Fernández‐Veledo has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include Joan Vendrell, Rocío Vila‐Bedmar, Margarita Lorenzo, Victòria Ceperuelo‐Mallafré, Iria Nieto-Vázquez, Lucía García‐Guerra, Carolina Serena, Miriam Ejarque, David Kramer and Catalina Núñez‐Roa. Their work appears in journals such as Science, Journal of Clinical Investigation and Nature Immunology.
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.