Río Aguilar

141 total papers · 3.7k total citations
70 papers, 1.2k citations indexed

About

Río Aguilar is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Río Aguilar has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cardiology and Cardiovascular Medicine, 20 papers in Pulmonary and Respiratory Medicine and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Río Aguilar's work include Cardiac Valve Diseases and Treatments (15 papers), Cardiac Imaging and Diagnostics (14 papers) and Cardiovascular Function and Risk Factors (12 papers). Río Aguilar is often cited by papers focused on Cardiac Valve Diseases and Treatments (15 papers), Cardiac Imaging and Diagnostics (14 papers) and Cardiovascular Function and Risk Factors (12 papers). Río Aguilar collaborates with scholars based in Spain, Uruguay and China. Río Aguilar's co-authors include Arturo Evangelista, Frank A. Flachskampf, Patrizio Lancellotti, José Luis Zamorano, Luigi P. Badano, Petros Nihoyannopoulos, Mark Monaghan, Lobat Tayebi, Mohammad Tavakkoli Yaraki and Amir Yadegari and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Río Aguilar

67 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Río Aguilar 547 312 285 190 183 70 1.2k
Sung Min Ko 333 0.6× 463 1.5× 318 1.1× 249 1.3× 547 3.0× 92 1.4k
Takashi Morita 631 1.2× 67 0.2× 178 0.6× 174 0.9× 333 1.8× 111 1.3k
Christlieb Haller 151 0.3× 130 0.4× 190 0.7× 131 0.7× 154 0.8× 39 1.0k
William F. Penny 637 1.2× 224 0.7× 204 0.7× 667 3.5× 255 1.4× 45 1.5k
Ji Won Lee 186 0.3× 308 1.0× 440 1.5× 145 0.8× 504 2.8× 93 1.5k
Kenneth P. Lyons 279 0.5× 380 1.2× 93 0.3× 227 1.2× 335 1.8× 50 1.1k
Shinichi Fujimoto 616 1.1× 232 0.7× 127 0.4× 125 0.7× 169 0.9× 81 1.2k
Ming Li 199 0.4× 283 0.9× 601 2.1× 392 2.1× 126 0.7× 72 1.1k
Min‐Seok Kim 237 0.4× 162 0.5× 127 0.4× 304 1.6× 70 0.4× 112 1.4k
Yu‐Sheng Chang 192 0.4× 337 1.1× 153 0.5× 311 1.6× 68 0.4× 73 998

Countries citing papers authored by Río Aguilar

Since Specialization
Citations

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

Fields of papers citing papers by Río Aguilar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Río Aguilar. 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 Río Aguilar. The network helps show where Río Aguilar may publish in the future.

Co-authorship network of co-authors of Río Aguilar

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

All Works

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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.

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2026