José M. Cubero

32 total papers · 1.0k total citations
22 papers, 744 citations indexed

About

José M. Cubero is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, José M. Cubero has authored 22 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in José M. Cubero's work include Cardiovascular Function and Risk Factors (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Cardiac pacing and defibrillation studies (2 papers). José M. Cubero is often cited by papers focused on Cardiovascular Function and Risk Factors (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Cardiac pacing and defibrillation studies (2 papers). José M. Cubero collaborates with scholars based in Spain, United Kingdom and Germany. José M. Cubero's co-authors include Rafael Vázquez, Luis Pastor, Juan Carlos Kaski, Rocío Cózar León, Alejandro Recio‐Mayoral, Irene Méndez, Debasish Banerjee, Jordi Ordóñez‐Llanos, Lilián Grigorian-Shamagian and J. Cinca and has published in prestigious journals such as Journal of the American College of Cardiology, European Heart Journal and Diabetologia.

In The Last Decade

José M. Cubero

21 papers receiving 708 citations

Author Peers

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

Author						Papers	Cites
José M. Cubero	279	202	188	144	109	22	744
Pratap S. Avasthi	104 0.4×	286 1.4×	282 1.5×	174 1.2×	111 1.0×	23	714
Steven E.S. Miner	190 0.7×	151 0.7×	78 0.4×	217 1.5×	8 0.1×	35	644
Seija Peltonen	88 0.3×	195 1.0×	270 1.4×	232 1.6×	34 0.3×	21	695
M A Bettmann	173 0.6×	251 1.2×	53 0.3×	336 2.3×	14 0.1×	26	720
Jharendra Rijal	353 1.3×	137 0.7×	32 0.2×	151 1.0×	82 0.8×	18	895
M A Bettmann	141 0.5×	276 1.4×	104 0.6×	286 2.0×	19 0.2×	23	743
Bo Frennby	72 0.3×	184 0.9×	317 1.7×	91 0.6×	15 0.1×	28	712
Cesare Beghi	513 1.8×	140 0.7×	51 0.3×	220 1.5×	19 0.2×	34	762
Robert Capodilupo	391 1.4×	69 0.3×	46 0.2×	93 0.6×	17 0.2×	14	621
Kelly V. Liang	184 0.7×	231 1.1×	316 1.7×	123 0.9×	19 0.2×	20	779

Countries citing papers authored by José M. Cubero

Since Specialization

Citations

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

Fields of papers citing papers by José M. Cubero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José M. Cubero. 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 José M. Cubero. The network helps show where José M. Cubero may publish in the future.

Co-authorship network of co-authors of José M. Cubero

This figure shows the co-authorship network connecting the top 25 collaborators of José M. Cubero. A scholar is included among the top collaborators of José M. Cubero 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 José M. Cubero. José M. Cubero 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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