Manuel Vázquez‐Carrera
- Molecular Biology top 1%
- Physiology top 0.5%
- Epidemiology top 1%
- Surgery top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Co-authors
- Xavier PalomerJuan C. LagunaEmma BarrosoWalter WahliRosa María Galán SánchezMarta AlegretRicardo Rodríguez‐CalvoJavier Pizarro‐Delgado
- Topics
- Peroxisome Proliferator-Activated Receptors (82 papers)Adipose Tissue and Metabolism (62 papers)Metabolism, Diabetes, and Cancer (33 papers)
- Partner nations
- SpainSwitzerlandUnited States
In The Last Decade
Manuel Vázquez‐Carrera
188 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 5.0k
- Physiology 3.1k
- Epidemiology 2.3k
- Surgery 1.3k
- Endocrinology, Diabetes and Metabolism 1.2k
Countries citing papers authored by Manuel Vázquez‐Carrera
This map shows the geographic impact of Manuel Vázquez‐Carrera'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 Manuel Vázquez‐Carrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Vázquez‐Carrera more than expected).
Fields of papers citing papers by Manuel Vázquez‐Carrera
This network shows the impact of papers produced by Manuel Vázquez‐Carrera. 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 Manuel Vázquez‐Carrera. The network helps show where Manuel Vázquez‐Carrera may publish in the future.
Co-authorship network of co-authors of Manuel Vázquez‐Carrera
This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Vázquez‐Carrera. A scholar is included among the top collaborators of Manuel Vázquez‐Carrera 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 Manuel Vázquez‐Carrera. Manuel Vázquez‐Carrera 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 | 6 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 31 | |
| 8 | 20 | |
| 9 | 5 | |
| 10 | 15 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 29 | |
| 14 | 19 | |
| 15 | 30 | |
| 16 | 19 | |
| 17 | 5 | |
| 18 | 9 | |
| 19 | Adenosine A2 receptor signalling mediates chromogranin A secretion from neuroendocrine Tumours | 2 |
| 20 | Receptores activados por proliferadores peroxisómicos (PPAR), metabolismo energético y aterosclerosis | 1 |
About Manuel Vázquez‐Carrera
Manuel Vázquez‐Carrera is a scholar working on Physiology, Geriatrics and Gerontology and Biochemistry, having authored 191 papers that have together received 9.2k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (82 papers), Adipose Tissue and Metabolism (62 papers) and Metabolism, Diabetes, and Cancer (33 papers). The work is most often cited by research in Physiology (3.1k citations), Biochemistry (767 citations) and Endocrinology, Diabetes and Metabolism (1.2k citations). Manuel Vázquez‐Carrera has collaborated with scholars based in Spain, Switzerland and United States. Frequent co-authors include Xavier Palomer, Juan C. Laguna, Emma Barroso, Walter Wahli, Rosa María Galán Sánchez, Marta Alegret, Ricardo Rodríguez‐Calvo, Javier Pizarro‐Delgado, H. J. Keller and Frank J. Gonzalez. Their work appears in journals such as Nature, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.