Guillermo Aldama
- Cardiology and Cardiovascular Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Co-authors
- Juan Carlos KaskiJuan Cosı́n-SalesDebashis RoyDavid GazeJuan QuilesIris P. GarridoManas SinhaRamón Calviño
- Topics
- Cardiac Imaging and Diagnostics (9 papers)Acute Myocardial Infarction Research (5 papers)Cardiovascular Function and Risk Factors (4 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingInternal Medicine
- Partner nations
- SpainUnited Kingdom
In The Last Decade
Guillermo Aldama
17 papers receiving 351 citations
Peers
Comparison fields: 5 of 56
- Cardiology and Cardiovascular Medicine 293
- Radiology, Nuclear Medicine and Imaging 212
- Surgery 81
- Molecular Biology 29
- Pulmonary and Respiratory Medicine 23
Countries citing papers authored by Guillermo Aldama
This map shows the geographic impact of Guillermo Aldama'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 Guillermo Aldama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo Aldama more than expected).
Fields of papers citing papers by Guillermo Aldama
This network shows the impact of papers produced by Guillermo Aldama. 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 Guillermo Aldama. The network helps show where Guillermo Aldama may publish in the future.
Co-authorship network of co-authors of Guillermo Aldama
This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Aldama. A scholar is included among the top collaborators of Guillermo Aldama 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 Guillermo Aldama. Guillermo Aldama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 20 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 15 | |
| 12 | 40 | |
| 13 | 47 | |
| 14 | 7 | |
| 15 | 60 | |
| 16 | 89 | |
| 17 | 49 |
About Guillermo Aldama
Guillermo Aldama is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Metals and Alloys, having authored 17 papers that have together received 363 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (9 papers), Acute Myocardial Infarction Research (5 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (293 citations), Radiology, Nuclear Medicine and Imaging (212 citations) and Internal Medicine (22 citations). Guillermo Aldama has collaborated with scholars based in Spain and United Kingdom. Frequent co-authors include Juan Carlos Kaski, Juan Cosı́n-Sales, Debashis Roy, David Gaze, Juan Quiles, Iris P. Garrido, Manas Sinha, Ramón Calviño, Alfonso Castro‐Beiras and Jesús Peteiro. Their work appears in journals such as PLoS ONE, The American Journal of Cardiology and BioMed Research International.
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.