Rafael Gabriel
- Pulmonary and Respiratory Medicine top 5%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 10%
- Co-authors
- Marc MiravitllesJosé Luís ViejoCarlos VillasanteCarlos A. Jiménez-RuizL. Fernández-FauJuan F. MasaManuel Serrano‐RíosPeter M. Nilsson
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers)Blood Pressure and Hypertension Studies (13 papers)Cardiovascular Function and Risk Factors (9 papers)
- Journals
- PLoS ONEDiabetes CareCHEST Journal
- Partner nations
- SpainUnited StatesSweden
In The Last Decade
Rafael Gabriel
44 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Pulmonary and Respiratory Medicine 741
- Physiology 736
- Endocrinology, Diabetes and Metabolism 658
- Cardiology and Cardiovascular Medicine 550
- Epidemiology 429
Countries citing papers authored by Rafael Gabriel
This map shows the geographic impact of Rafael Gabriel'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 Gabriel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Gabriel more than expected).
Fields of papers citing papers by Rafael Gabriel
This network shows the impact of papers produced by Rafael Gabriel. 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 Gabriel. The network helps show where Rafael Gabriel may publish in the future.
Co-authorship network of co-authors of Rafael Gabriel
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Gabriel. A scholar is included among the top collaborators of Rafael Gabriel 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 Gabriel. Rafael Gabriel 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 | 30 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 20 | |
| 7 | 40 | |
| 8 | 77 | |
| 9 | 9 | |
| 10 | 67 | |
| 11 | 25 | |
| 12 | 9 | |
| 13 | 28 | |
| 14 | 40 | |
| 15 | 62 | |
| 16 | Frequency of the WHO metabolic syndrome in European cohorts, and an alternative definition of an insulin resistance syndrome. | 411 |
| 17 | Geographic Variations in Prevalence and Underdiagnosis of COPDbreakdown → | 529 |
| 18 | 62 | |
| 19 | 6 | |
| 20 | 20 |
About Rafael Gabriel
Rafael Gabriel is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Family Practice, having authored 46 papers that have together received 2.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Blood Pressure and Hypertension Studies (13 papers) and Cardiovascular Function and Risk Factors (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (658 citations), Issues, ethics and legal aspects (47 citations) and Physiology (736 citations). Rafael Gabriel has collaborated with scholars based in Spain, United States and Sweden. Frequent co-authors include Marc Miravitlles, José Luís Viejo, Carlos Villasante, Carlos A. Jiménez-Ruiz, L. Fernández-Fau, Juan F. Masa, Manuel Serrano‐Ríos, Peter M. Nilsson, V. Sobradillo and Steven M. Haffner. Their work appears in journals such as PLoS ONE, Diabetes Care and CHEST Journal.
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.