Enrique Cerdá

35 total papers · 1.2k total citations
23 papers, 713 citations indexed

About

Enrique Cerdá is a scholar working on Critical Care and Intensive Care Medicine, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Enrique Cerdá has authored 23 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Critical Care and Intensive Care Medicine, 10 papers in Epidemiology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Enrique Cerdá's work include Nosocomial Infections in ICU (11 papers), Antibiotic Use and Resistance (7 papers) and Pneumonia and Respiratory Infections (5 papers). Enrique Cerdá is often cited by papers focused on Nosocomial Infections in ICU (11 papers), Antibiotic Use and Resistance (7 papers) and Pneumonia and Respiratory Infections (5 papers). Enrique Cerdá collaborates with scholars based in Spain, Chile and Palestinian Territory. Enrique Cerdá's co-authors include Miguel A. de la Cal, José A. Lorente, Martin Dres, Francisco Álvarez-Lerma, P. García-Hierro, H. K. F. van Saene, Miguel Sánchez García, Rita Galeiras, Vinko Tomicić and Pedro Olaechea and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Annals of Surgery and CHEST Journal.

In The Last Decade

Enrique Cerdá

22 papers receiving 680 citations

Author Peers

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

Author Last Decade Papers Cites
Enrique Cerdá 385 250 173 102 84 23 713
Scott D. Hanes 343 0.9× 315 1.3× 106 0.6× 54 0.5× 55 0.7× 23 864
Nawal Salahuddin 369 1.0× 265 1.1× 186 1.1× 128 1.3× 109 1.3× 50 906
L. Silvestri 168 0.4× 348 1.4× 128 0.7× 126 1.2× 36 0.4× 33 636
Joanne Taylor 356 0.9× 248 1.0× 116 0.7× 75 0.7× 111 1.3× 36 900
Amani D. Politano 193 0.5× 119 0.5× 90 0.5× 78 0.8× 80 1.0× 22 712
Saber Davide Barbar 276 0.7× 200 0.8× 97 0.6× 70 0.7× 93 1.1× 32 799
Joan Faoagali 264 0.7× 140 0.6× 250 1.4× 129 1.3× 16 0.2× 37 870
Ruy Guilherme Rodrigues Cal 389 1.0× 266 1.1× 121 0.7× 106 1.0× 67 0.8× 20 863
Maciej Piotr Chlebicki 237 0.6× 182 0.7× 80 0.5× 177 1.7× 34 0.4× 41 824
Kelly Cawcutt 322 0.8× 162 0.6× 142 0.8× 189 1.9× 81 1.0× 53 791

Countries citing papers authored by Enrique Cerdá

Since Specialization
Citations

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

Fields of papers citing papers by Enrique Cerdá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrique Cerdá

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