Carme Barberà

896 total citations
3 papers, 21 citations indexed

About

Carme Barberà is a scholar working on Critical Care and Intensive Care Medicine, Neurology and Molecular Biology. According to data from OpenAlex, Carme Barberà has authored 3 papers receiving a total of 21 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Critical Care and Intensive Care Medicine, 2 papers in Neurology and 1 paper in Molecular Biology. Recurrent topics in Carme Barberà's work include Intensive Care Unit Cognitive Disorders (2 papers), Long-Term Effects of COVID-19 (2 papers) and Extracellular vesicles in disease (1 paper). Carme Barberà is often cited by papers focused on Intensive Care Unit Cognitive Disorders (2 papers), Long-Term Effects of COVID-19 (2 papers) and Extracellular vesicles in disease (1 paper). Carme Barberà collaborates with scholars based in Spain, Chile and United States. Carme Barberà's co-authors include David de Gonzalo‐Calvo, Antoní Torres, Ferrán Barbé, Olga Mínguez, Rafaela Vaca, Sally Santisteve, Jessica González, Iván D. Benítez, Clara Gort‐Paniello and Anna Moncusí‐Moix and has published in prestigious journals such as Critical Care Medicine, British Journal of Pharmacology and Archivos de Bronconeumología.

In The Last Decade

Carme Barberà

3 papers receiving 20 citations

Peers

Carme Barberà
Karin Panzer United States
K Lei United Kingdom
Ailsa Fulton United Kingdom
Valeria Cores Argentina
Carme Barberà
Citations per year, relative to Carme Barberà Carme Barberà (= 1×) peers Marianne Roth

Countries citing papers authored by Carme Barberà

Since Specialization
Citations

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

Fields of papers citing papers by Carme Barberà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carme Barberà

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

All Works

3 of 3 papers shown
1.
Vaca, Rafaela, Iván D. Benítez, Jessica González, et al.. (2024). Sleep and Circadian Health of Critical Survivors: A 12-Month Follow-Up Study*. Critical Care Medicine. 52(8). 1206–1217. 8 indexed citations
2.
Benítez, Iván D., Marta Molinero, Thalía Belmonte, et al.. (2024). MicroRNA‐guided drug discovery for mitigating persistent pulmonary complications in critical COVID‐19 survivors: A longitudinal pilot study. British Journal of Pharmacology. 182(2). 380–395. 7 indexed citations
3.
González, Jessica, María Zuil, Iván D. Benítez, et al.. (2023). Long-term Outcomes in Critical COVID-19 Survivors: A 2-Year Longitudinal Cohort. Archivos de Bronconeumología. 59(10). 691–697. 6 indexed citations

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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