Sergio García‐Blas
- Cardiology and Cardiovascular Medicine top 2%
- Geriatrics and Gerontology top 1%
- Infectious Diseases top 5%
- Surgery
- Economics and Econometrics top 5%
- Co-authors
- Julio NúñezClara BonanadJuan SanchísVicente Bertomeu‐GonzálezGema MiñanaFrancisco José Tarazona‐SantabalbinaLorenzo FácilaEduardo Núñez
- Topics
- Coronary Interventions and Diagnostics (17 papers)Heart Failure Treatment and Management (17 papers)Acute Myocardial Infarction Research (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyScientific Reports
- Partner nations
- SpainNetherlandsItaly
In The Last Decade
Sergio García‐Blas
75 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cardiology and Cardiovascular Medicine 782
- Geriatrics and Gerontology 260
- Infectious Diseases 254
- Surgery 235
- Economics and Econometrics 182
Countries citing papers authored by Sergio García‐Blas
This map shows the geographic impact of Sergio García‐Blas'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 Sergio García‐Blas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio García‐Blas more than expected).
Fields of papers citing papers by Sergio García‐Blas
This network shows the impact of papers produced by Sergio García‐Blas. 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 Sergio García‐Blas. The network helps show where Sergio García‐Blas may publish in the future.
Co-authorship network of co-authors of Sergio García‐Blas
This figure shows the co-authorship network connecting the top 25 collaborators of Sergio García‐Blas. A scholar is included among the top collaborators of Sergio García‐Blas 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 Sergio García‐Blas. Sergio García‐Blas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 74 | |
| 7 | 17 | |
| 8 | 24 | |
| 9 | 9 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 25 | |
| 13 | 19 | |
| 14 | 48 | |
| 15 | 5 | |
| 16 | 35 | |
| 17 | 35 | |
| 18 | 10 | |
| 19 | 128 | |
| 20 | 2 |
About Sergio García‐Blas
Sergio García‐Blas is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 79 papers that have together received 1.7k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (17 papers), Heart Failure Treatment and Management (17 papers) and Acute Myocardial Infarction Research (17 papers). The work is most often cited by research in Geriatrics and Gerontology (260 citations), Cardiology and Cardiovascular Medicine (782 citations) and Modeling and Simulation (80 citations). Sergio García‐Blas has collaborated with scholars based in Spain, Netherlands and Italy. Frequent co-authors include Julio Núñez, Clara Bonanad, Juan Sanchís, Vicente Bertomeu‐González, Gema Miñana, Juan Sanchís, Francisco José Tarazona‐Santabalbina, Lorenzo Fácila, Eduardo Núñez and Ernesto Valero. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Scientific Reports.
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.