Víctor Castro‐Urda

96 total papers · 1.1k total citations
41 papers, 634 citations indexed

About

Víctor Castro‐Urda is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Víctor Castro‐Urda has authored 41 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cardiology and Cardiovascular Medicine, 7 papers in Surgery and 7 papers in Molecular Biology. Recurrent topics in Víctor Castro‐Urda's work include Cardiac Arrhythmias and Treatments (22 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Cardiac pacing and defibrillation studies (15 papers). Víctor Castro‐Urda is often cited by papers focused on Cardiac Arrhythmias and Treatments (22 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Cardiac pacing and defibrillation studies (15 papers). Víctor Castro‐Urda collaborates with scholars based in Spain, United States and Germany. Víctor Castro‐Urda's co-authors include Ignacio Fernández Lozano, Josép Brugada, Lluı́s Mont, José Arana, Felipe Bisbal, Andrés Bodegas, Xavier Viñolas, Pablo Ávila, María José Guerra Palmero and Roberto Matía and has published in prestigious journals such as Circulation, PLoS ONE and European Heart Journal.

In The Last Decade

Víctor Castro‐Urda

39 papers receiving 618 citations

Author Peers

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

Author						Papers	Cites
Víctor Castro‐Urda	560	131	92	85	31	41	634
Carsten Lennerz	668 1.2×	78 0.6×	38 0.4×	56 0.7×	26 0.8×	75	760
Hueseyin Ince	494 0.9×	156 1.2×	68 0.7×	102 1.2×	69 2.2×	27	635
Jacek Kowalczyk	489 0.9×	143 1.1×	43 0.5×	104 1.2×	41 1.3×	61	639
Florian Krackhardt	433 0.8×	329 2.5×	99 1.1×	94 1.1×	27 0.9×	44	652
Takehito Tokuyama	450 0.8×	59 0.5×	117 1.3×	45 0.5×	34 1.1×	65	588
Ann C. Garlitski	612 1.1×	76 0.6×	45 0.5×	124 1.5×	14 0.5×	29	684
Donald D. Hegland	444 0.8×	86 0.7×	206 2.2×	28 0.3×	41 1.3×	36	664
Michał Marchel	429 0.8×	80 0.6×	204 2.2×	36 0.4×	53 1.7×	76	675
Rajiv Das	399 0.7×	99 0.8×	86 0.9×	148 1.7×	104 3.4×	43	607
Akiyoshi Nishikado	603 1.1×	79 0.6×	53 0.6×	282 3.3×	70 2.3×	34	709

Countries citing papers authored by Víctor Castro‐Urda

Since Specialization

Citations

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

Fields of papers citing papers by Víctor Castro‐Urda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Víctor Castro‐Urda. 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 Víctor Castro‐Urda. The network helps show where Víctor Castro‐Urda may publish in the future.

Co-authorship network of co-authors of Víctor Castro‐Urda

This figure shows the co-authorship network connecting the top 25 collaborators of Víctor Castro‐Urda. A scholar is included among the top collaborators of Víctor Castro‐Urda 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 Víctor Castro‐Urda. Víctor Castro‐Urda 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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