Juan J. Badimón
- Cardiology and Cardiovascular Medicine top 0.1%
- Surgery top 0.1%
- Pulmonary and Respiratory Medicine top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Molecular Biology top 2%
- Co-authors
- Valentı́n FusterLina BadimónJames H. ChesebroJohn T. FallonZahi A. FayadRoberto CortiFranklin H. EpsteinCarlos G. Santos‐Gallego
- Topics
- Antiplatelet Therapy and Cardiovascular Diseases (67 papers)Coronary Interventions and Diagnostics (64 papers)Lipoproteins and Cardiovascular Health (44 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Juan J. Badimón
296 papers receiving 20.7k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Cardiology and Cardiovascular Medicine 8.7k
- Surgery 8.3k
- Pulmonary and Respiratory Medicine 4.6k
- Radiology, Nuclear Medicine and Imaging 3.8k
- Molecular Biology 3.4k
Countries citing papers authored by Juan J. Badimón
This map shows the geographic impact of Juan J. Badimón'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 Juan J. Badimón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan J. Badimón more than expected).
Fields of papers citing papers by Juan J. Badimón
This network shows the impact of papers produced by Juan J. Badimón. 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 Juan J. Badimón. The network helps show where Juan J. Badimón may publish in the future.
Co-authorship network of co-authors of Juan J. Badimón
This figure shows the co-authorship network connecting the top 25 collaborators of Juan J. Badimón. A scholar is included among the top collaborators of Juan J. Badimón 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 Juan J. Badimón. Juan J. Badimón is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 24 | |
| 6 | 10 | |
| 7 | 57 | |
| 8 | 0 | |
| 9 | 22 | |
| 10 | 42 | |
| 11 | Alternatively Spliced Tissue Factor promotes plaque progression, inflammation and angiogenesis in experimental atherosclerosis | 1 |
| 12 | 13 | |
| 13 | 117 | |
| 14 | 128 | |
| 15 | 4 | |
| 16 | 119 | |
| 17 | 79 | |
| 18 | 10 | |
| 19 | 37 | |
| 20 | 106 |
About Juan J. Badimón
Juan J. Badimón is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Hematology, having authored 305 papers that have together received 21.3k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (67 papers), Coronary Interventions and Diagnostics (64 papers) and Lipoproteins and Cardiovascular Health (44 papers). The work is most often cited by research in Internal Medicine (1.8k citations), Cardiology and Cardiovascular Medicine (8.7k citations) and Hematology (3.0k citations). Juan J. Badimón has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Valentı́n Fuster, Lina Badimón, James H. Chesebro, John T. Fallon, Zahi A. Fayad, Roberto Corti, Franklin H. Epstein, Carlos G. Santos‐Gallego, Stephen G. Worthley and Gérard Helft. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.