J Rubiés-Prat
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Physiology
- Epidemiology
- Co-authors
- Juan Pedro‐BotetXavier NoguésMariano Sentı́L D'OlhaberriagueJ. OlivéJaume RoquerJoan Carles ReverterDolors Tàssies
- Topics
- Lipoproteins and Cardiovascular Health (6 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Acute Ischemic Stroke Management (3 papers)
- Partner nations
- Spain
In The Last Decade
J Rubiés-Prat
13 papers receiving 338 citations
Peers
Comparison fields: 5 of 64
- Surgery 153
- Endocrinology, Diabetes and Metabolism 123
- Cardiology and Cardiovascular Medicine 88
- Physiology 80
- Epidemiology 67
Countries citing papers authored by J Rubiés-Prat
This map shows the geographic impact of J Rubiés-Prat'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 J Rubiés-Prat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Rubiés-Prat more than expected).
Fields of papers citing papers by J Rubiés-Prat
This network shows the impact of papers produced by J Rubiés-Prat. 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 J Rubiés-Prat. The network helps show where J Rubiés-Prat may publish in the future.
Co-authorship network of co-authors of J Rubiés-Prat
This figure shows the co-authorship network connecting the top 25 collaborators of J Rubiés-Prat. A scholar is included among the top collaborators of J Rubiés-Prat 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 J Rubiés-Prat. J Rubiés-Prat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 14 | |
| 3 | 6 | |
| 4 | 58 | |
| 5 | 25 | |
| 6 | 211 | |
| 7 | 17 | |
| 8 | [Coronary heart disease and lipoprotein (a): relationship with other lipid cardiovascular risk factors]. | 2 |
| 9 | [Systemic amyloidosis in Behçet's disease]. | 3 |
| 10 | [Hypercholesterolemia associated with hepatocarcinoma]. | 1 |
| 11 | Serum high-density lipoproteins cholesterol, heparin and peripheral vascular disease. | 2 |
| 12 | [Electrocardiographic changes in acute pancreatitis]. | 1 |
| 13 | [Subclinical neuromyopathy in nonalcoholic hepatic cirrhosis]. | 1 |
About J Rubiés-Prat
J Rubiés-Prat is a scholar working on Ophthalmology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 13 papers that have together received 359 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Acute Ischemic Stroke Management (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (123 citations), Cardiology and Cardiovascular Medicine (88 citations) and Surgery (153 citations). J Rubiés-Prat has collaborated with scholars based in Spain. Frequent co-authors include Juan Pedro‐Botet, Xavier Nogués, Mariano Sentı́, L D'Olhaberriague, J. Olivé, Jaume Roquer, Joan Carles Reverter, Dolors Tàssies, Ginés Escolar and Jordi L. Reverter. Their work appears in journals such as Stroke, Annals of the Rheumatic Diseases and Atherosclerosis.
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.