Rafael Mayoral
- Epidemiology top 5%
- Molecular Biology top 10%
- Physiology top 5%
- Surgery top 10%
- Cell Biology top 5%
- Co-authors
- Paloma Martı́n-SanzLisardo BoscáJerrold M. OlefskyAndrew M. JohnsonÁngela M. ValverdeÁgueda González‐RodríguezCarmelo García‐MonzónMarta Casado
- Topics
- Inflammatory mediators and NSAID effects (8 papers)Eicosanoids and Hypertension Pharmacology (7 papers)Liver Disease Diagnosis and Treatment (6 papers)
- Cited by
- BiochemistryEpidemiologyHepatology
- Journals
- CirculationNature MedicinePLoS ONE
- Partner nations
- SpainUnited StatesArgentina
In The Last Decade
Rafael Mayoral
31 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Epidemiology 914
- Molecular Biology 734
- Physiology 447
- Surgery 290
- Cell Biology 281
Countries citing papers authored by Rafael Mayoral
This map shows the geographic impact of Rafael Mayoral'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 Rafael Mayoral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Mayoral more than expected).
Fields of papers citing papers by Rafael Mayoral
This network shows the impact of papers produced by Rafael Mayoral. 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 Rafael Mayoral. The network helps show where Rafael Mayoral may publish in the future.
Co-authorship network of co-authors of Rafael Mayoral
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Mayoral. A scholar is included among the top collaborators of Rafael Mayoral 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 Rafael Mayoral. Rafael Mayoral 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 | 27 | |
| 3 | 45 | |
| 4 | 178 | |
| 5 | 254 | |
| 6 | 2 | |
| 7 | 39 | |
| 8 | 48 | |
| 9 | Impaired autophagic flux is associated with increased endoplasmic reticulum stress during the development of NAFLDbreakdown → | 481 |
| 10 | 3 | |
| 11 | 25 | |
| 12 | 32 | |
| 13 | 26 | |
| 14 | 34 | |
| 15 | 12 | |
| 16 | 79 | |
| 17 | 39 | |
| 18 | 41 | |
| 19 | 23 | |
| 20 | 88 |
About Rafael Mayoral
Rafael Mayoral is a scholar working on Biochemistry, Pharmacology and Pharmacology, having authored 32 papers that have together received 2.0k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (8 papers), Eicosanoids and Hypertension Pharmacology (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Biochemistry (191 citations), Epidemiology (914 citations) and Hepatology (180 citations). Rafael Mayoral has collaborated with scholars based in Spain, United States and Argentina. Frequent co-authors include Paloma Martı́n-Sanz, Lisardo Boscá, Jerrold M. Olefsky, Andrew M. Johnson, Ángela M. Valverde, Águeda González‐Rodríguez, Carmelo García‐Monzón, Marta Casado, Javier Vargas‐Castrillón and Gautam Bandyopadhyay. Their work appears in journals such as Circulation, Nature Medicine and PLoS ONE.
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.