Yolanda Peña-López

51 total papers · 820 total citations
29 papers, 459 citations indexed

About

Yolanda Peña-López is a scholar working on Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Yolanda Peña-López has authored 29 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Critical Care and Intensive Care Medicine, 14 papers in Pulmonary and Respiratory Medicine and 11 papers in Epidemiology. Recurrent topics in Yolanda Peña-López's work include Nosocomial Infections in ICU (15 papers), Respiratory Support and Mechanisms (13 papers) and Intensive Care Unit Cognitive Disorders (8 papers). Yolanda Peña-López is often cited by papers focused on Nosocomial Infections in ICU (15 papers), Respiratory Support and Mechanisms (13 papers) and Intensive Care Unit Cognitive Disorders (8 papers). Yolanda Peña-López collaborates with scholars based in Spain, France and Türkiye. Yolanda Peña-López's co-authors include Jordi Rello, S Ramirez, Roser Nadal, Joan Balcells, Rosa M. Escorihuela, Sofía Tejada, Vandana Kalwaje Eshwara, JUAN F MARTINEZ ORTEGA, Oriol Manuel and Magda Campins and has published in prestigious journals such as SHILAP Revista de lepidopterología, Intensive Care Medicine and Behavioural Brain Research.

In The Last Decade

Yolanda Peña-López

28 papers receiving 456 citations

Author Peers

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

Author Last Decade Papers Cites
Yolanda Peña-López 183 176 169 52 51 29 459
Giorgio R. Sansone 44 0.2× 84 0.5× 57 0.3× 32 0.6× 118 2.3× 25 463
Saadat Torabian 29 0.2× 104 0.6× 92 0.5× 65 1.3× 16 0.3× 44 452
A Armaganidis 77 0.4× 262 1.5× 98 0.6× 85 1.6× 12 0.2× 30 527
Youzhong An 169 0.9× 150 0.9× 109 0.6× 54 1.0× 5 0.1× 37 476
Judy Maselli 28 0.2× 112 0.6× 118 0.7× 107 2.1× 31 0.6× 23 483
Morgan J. Katz 37 0.2× 32 0.2× 118 0.7× 37 0.7× 15 0.3× 35 550
Malcolm Mahadevan 65 0.4× 62 0.4× 215 1.3× 155 3.0× 7 0.1× 29 536
Cecilia Bergh 48 0.3× 46 0.3× 106 0.6× 32 0.6× 9 0.2× 24 487
Tatsuya Kawasaki 269 1.5× 88 0.5× 144 0.9× 62 1.2× 12 0.2× 26 536
Lioudmila V. Karnatovskaia 231 1.3× 66 0.4× 32 0.2× 86 1.7× 13 0.3× 35 434

Countries citing papers authored by Yolanda Peña-López

Since Specialization
Citations

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

Fields of papers citing papers by Yolanda Peña-López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yolanda Peña-López. 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 Yolanda Peña-López. The network helps show where Yolanda Peña-López may publish in the future.

Co-authorship network of co-authors of Yolanda Peña-López

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

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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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