Óscar Lorenzo
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Immunology top 5%
- Co-authors
- Marta Ruiz‐OrtegaJesús EgidoMónica RupérezVanesa EstebanJ. EgidoYusuke SuzukiJosé TuñónMichael J. Clague
- Topics
- Cardiovascular Function and Risk Factors (18 papers)Renin-Angiotensin System Studies (16 papers)Parathyroid Disorders and Treatments (13 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaThe Journal of Immunology
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Óscar Lorenzo
102 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 2.4k
- Cardiology and Cardiovascular Medicine 2.3k
- Endocrinology, Diabetes and Metabolism 1.2k
- Surgery 802
- Immunology 798
Countries citing papers authored by Óscar Lorenzo
This map shows the geographic impact of Óscar Lorenzo'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 Óscar Lorenzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Óscar Lorenzo more than expected).
Fields of papers citing papers by Óscar Lorenzo
This network shows the impact of papers produced by Óscar Lorenzo. 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 Óscar Lorenzo. The network helps show where Óscar Lorenzo may publish in the future.
Co-authorship network of co-authors of Óscar Lorenzo
This figure shows the co-authorship network connecting the top 25 collaborators of Óscar Lorenzo. A scholar is included among the top collaborators of Óscar Lorenzo 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 Óscar Lorenzo. Óscar Lorenzo 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 | 3 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 42 | |
| 13 | 7 | |
| 14 | 22 | |
| 15 | 83 | |
| 16 | 65 | |
| 17 | 1 | |
| 18 | 163 | |
| 19 | 345 | |
| 20 | 343 |
About Óscar Lorenzo
Óscar Lorenzo is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 110 papers that have together received 6.3k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (18 papers), Renin-Angiotensin System Studies (16 papers) and Parathyroid Disorders and Treatments (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.3k citations), Nephrology (677 citations) and Endocrinology, Diabetes and Metabolism (1.2k citations). Óscar Lorenzo has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Marta Ruiz‐Ortega, Jesús Egido, Mónica Rupérez, Vanesa Esteban, J. Egido, Yusuke Suzuki, José Tuñón, Michael J. Clague, Sergio Mezzano and Juan José González Plaza. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and The Journal of 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.