Antonio De Miguel

491 total papers · 431 total citations
19 papers, 170 citations indexed

About

Antonio De Miguel is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Antonio De Miguel has authored 19 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 9 papers in Cardiology and Cardiovascular Medicine and 4 papers in Artificial Intelligence. Recurrent topics in Antonio De Miguel's work include Coronary Interventions and Diagnostics (8 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers) and Cardiac Valve Diseases and Treatments (4 papers). Antonio De Miguel is often cited by papers focused on Coronary Interventions and Diagnostics (8 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers) and Cardiac Valve Diseases and Treatments (4 papers). Antonio De Miguel collaborates with scholars based in Spain, Switzerland and Israel. Antonio De Miguel's co-authors include Borja Ibáñez, Juan J. Badimón, Felipe Fernández‐Vázquez, Alejandro Diego‐Nieto, Armando Pérez de Prado, Alfonso Ortega, Eduardo Lleida, Claudia Pérez‐Martínez, José R. Altónaga and Carlos Cuellas and has published in prestigious journals such as The American Journal of Cardiology, Thrombosis and Haemostasis and Journal of Hypertension.

In The Last Decade

Antonio De Miguel

19 papers receiving 162 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Antonio De Miguel 111 84 31 28 14 19 170
Géza Lupkovics 144 1.3× 44 0.5× 8 0.3× 29 1.0× 21 1.5× 17 168
William F. Griffin 141 1.3× 104 1.2× 36 1.2× 13 0.5× 10 0.7× 18 292
Wolf Rafflenbeul 157 1.4× 146 1.7× 27 0.9× 11 0.4× 5 0.4× 12 248
Tariq Ali Ahmad 69 0.6× 53 0.6× 20 0.6× 8 0.3× 7 0.5× 20 168
Eric Y. Pruitt 87 0.8× 84 1.0× 77 2.5× 4 0.1× 11 0.8× 17 270
Nicola Ammirabile 92 0.8× 99 1.2× 24 0.8× 21 0.8× 6 0.4× 17 179
Smriti Saraf 130 1.2× 57 0.7× 24 0.8× 55 2.0× 7 0.5× 16 180
Philipp Mourikis 89 0.8× 57 0.7× 10 0.3× 33 1.2× 11 0.8× 22 160
Yoshio Uetsuka 219 2.0× 33 0.4× 29 0.9× 55 2.0× 5 0.4× 19 279
Subhash Banerjee 102 0.9× 74 0.9× 20 0.6× 14 0.5× 7 0.5× 16 131

Countries citing papers authored by Antonio De Miguel

Since Specialization
Citations

This map shows the geographic impact of Antonio De Miguel'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 Antonio De Miguel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio De Miguel more than expected).

Fields of papers citing papers by Antonio De Miguel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio De Miguel. 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 Antonio De Miguel. The network helps show where Antonio De Miguel may publish in the future.

Co-authorship network of co-authors of Antonio De Miguel

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio De Miguel. A scholar is included among the top collaborators of Antonio De Miguel 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 Antonio De Miguel. Antonio De Miguel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026