Daniel Pereda

186 total papers · 1.9k total citations
62 papers, 490 citations indexed

About

Daniel Pereda is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Pereda has authored 62 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cardiology and Cardiovascular Medicine, 37 papers in Surgery and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Pereda's work include Cardiac Valve Diseases and Treatments (24 papers), Cardiac Structural Anomalies and Repair (21 papers) and Infective Endocarditis Diagnosis and Management (13 papers). Daniel Pereda is often cited by papers focused on Cardiac Valve Diseases and Treatments (24 papers), Cardiac Structural Anomalies and Repair (21 papers) and Infective Endocarditis Diagnosis and Management (13 papers). Daniel Pereda collaborates with scholars based in Spain, United States and Netherlands. Daniel Pereda's co-authors include John V. Conte, Manuel Castellà, Ana García‐Álvarez, Borja Ibáñez, Valentı́n Fuster, Elena Sandoval, Jaume Agüero, Eduard Quintana, Damián Sánchez‐Quintana and Leticia Fernández‐Friera and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Daniel Pereda

47 papers receiving 477 citations

Author Peers

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

Author						Papers	Cites
Daniel Pereda	317	214	173	107	64	62	490
Toshinobu Kazui	256 0.8×	151 0.7×	240 1.4×	134 1.3×	54 0.8×	74	462
Juan C. Grignola	310 1.0×	252 1.2×	136 0.8×	84 0.8×	64 1.0×	39	444
J.B. Borman	218 0.7×	121 0.6×	314 1.8×	50 0.5×	141 2.2×	44	480
Herbert M. Stauffer	141 0.4×	215 1.0×	150 0.9×	45 0.4×	71 1.1×	51	508
William J. Vernick	268 0.8×	179 0.8×	235 1.4×	120 1.1×	80 1.3×	46	518
Kent H. Rehfeldt	300 0.9×	62 0.3×	259 1.5×	63 0.6×	91 1.4×	45	421
Nicholas Ruggiero	328 1.0×	138 0.6×	247 1.4×	71 0.7×	92 1.4×	58	509
Muharrem Akin	290 0.9×	74 0.3×	111 0.6×	88 0.8×	50 0.8×	72	506
Tohru Takaseya	280 0.9×	110 0.5×	218 1.3×	125 1.2×	88 1.4×	68	464
Bora Farsak	219 0.7×	104 0.5×	232 1.3×	54 0.5×	86 1.3×	41	544

Countries citing papers authored by Daniel Pereda

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Pereda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Pereda

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Pereda. A scholar is included among the top collaborators of Daniel Pereda 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 Daniel Pereda. Daniel Pereda 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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