Mariona Badía

840 total citations
27 papers, 248 citations indexed

About

Mariona Badía is a scholar working on Emergency Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mariona Badía has authored 27 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Emergency Medicine, 6 papers in Surgery and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mariona Badía's work include Trauma and Emergency Care Studies (8 papers), Emergency and Acute Care Studies (6 papers) and Cardiac Arrest and Resuscitation (4 papers). Mariona Badía is often cited by papers focused on Trauma and Emergency Care Studies (8 papers), Emergency and Acute Care Studies (6 papers) and Cardiac Arrest and Resuscitation (4 papers). Mariona Badía collaborates with scholars based in Spain. Mariona Badía's co-authors include Javier Trujillano, Luis Serviá, Jaume March‐Llanes, Núria Montserrat, Aureli Esquerda, Josep Manel Casanova, Antonio Sarría‐Santamera, M. A. Mendes de Leon, Jesús Abelardo Barea‐Mendoza and Mario Chico‐Fernández and has published in prestigious journals such as PLoS ONE, Nutrients and Intensive Care Medicine.

In The Last Decade

Mariona Badía

25 papers receiving 243 citations

Peers

Countries citing papers authored by Mariona Badía

Since Specialization

Citations

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

Fields of papers citing papers by Mariona Badía

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariona Badía

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Development of a new score for early mortality prediction in trauma ICU patients: RETRASCORE 2021 ·Critical Care ·Luis Serviá, Juan Antonio Llompart‐Pou, Mario Chico‐Fernández, (unknown), Mariona Badía, Jesús Abelardo Barea‐Mendoza, (unknown), Javier Trujillano, (unknown)	7
2	Machine learning techniques for mortality prediction in critical traumatic patients: anatomic and physiologic variables from the RETRAUCI study 2020 ·BMC Medical Research Methodology ·Luis Serviá, (unknown), Mariona Badía, Juan Antonio Llompart‐Pou, Jesús Abelardo Barea‐Mendoza, Mario Chico‐Fernández, M. Sánchez-Casado, (unknown), (unknown), Javier Trujillano	20
3	A prospective pilot study using metabolomics discloses specific fatty acid, catecholamine and tryptophan metabolic pathways as possible predictors for a negative outcome after severe trauma 2019 ·Scandinavian Journal of Trauma Resuscitation and Emergency Medicine ·Luis Serviá, Mariona Jové, Joaquím Sol, Reinald Pamplona, Mariona Badía, (unknown), Manuel Portero-Otı́n, Javier Trujillano	11
4	Factors related to limitation of life support within 48 h of intensive care unit admission: A multicenter study 2018 ·Medicina Intensiva ·(unknown), Alejandro Rodríguez, Alberto Sandiumenge, Eva Oliver, (unknown), (unknown), Glòria Miró, Enrique Navas, Mariona Badía, (unknown), (unknown), (unknown), (unknown), N. Masnou, Teresa Pont, María Bodi	4
5	Gravedad en pacientes traumáticos ingresados en UCI. Modelos fisiológicos y anatómicos 2018 ·Medicina Intensiva ·Luis Serviá, Mariona Badía, Núria Montserrat, Javier Trujillano	12
6	Location-dependent effects of trauma on oxidative stress in humans 2018 ·PLoS ONE ·Luis Serviá, José C. E. Serrano, Reinald Pamplona, Mariona Badía, (unknown), Manuel Portero-Otı́n, Javier Trujillano	4
7	Complicaciones graves en la intubación orotraqueal en cuidados intensivos: estudio observacional y análisis de factores de riesgo 2014 ·Medicina Intensiva ·Mariona Badía, Núria Montserrat, Luis Serviá, (unknown), (unknown), (unknown), Sonia Rodríguez‐Ruiz, Javier Trujillano	9
8	Factores predictores de mortalidad en la sepsis urinaria con obstrucción ureteral 2014 ·Medicina Intensiva ·Mariona Badía, Stuart Iglesias, Luis Serviá, (unknown), (unknown), (unknown), (unknown), Javier Trujillano	6
9	Potencialidad de donación de órganos en muerte encefálica y limitación del tratamiento de soporte vital en los pacientes neurocríticos 2014 ·Medicina Intensiva ·María Bodi, Teresa Pont, Alberto Sandiumenge, Eva Oliver, (unknown), Mariona Badía, (unknown), Enrique Alday Muñoz, (unknown), (unknown), Jorge Twose, Salvador Quintana	16
10	Atención del paciente crítico pediátrico en una UCI de adultos. Utilidad del índice PIM 2012 ·Medicina Intensiva ·Mariona Badía, (unknown), (unknown), Luis Serviá, (unknown), Javier Trujillano	13
11	Classification of dermatological disorders in critical care patients: A prospective observational study 2012 ·Journal of Critical Care ·Mariona Badía, Luis Serviá, Josep Manel Casanova, Núria Montserrat, (unknown), (unknown), (unknown), Javier Trujillano	12
12	Time spent in the emergency department and mortality rates in severely injured patients admitted to the intensive care unit: An observational study 2011 ·Journal of Critical Care ·Luis Serviá, Mariona Badía, (unknown), Núria Montserrat, (unknown), Xavier Cabré, (unknown), Javier Trujillano	18
13	Factores de riesgo de la disfunción hepática asociada a la nutrición parenteral 2009 ·Medicina Clínica ·Luis Serviá, Joan Antoni Schoenenberger-Arnaiz, Javier Trujillano, Mariona Badía, (unknown)	4
14	Transporte interhospitalario de largo recorrido. Utilidad de las escalas de gravedad 2009 ·Medicina Intensiva ·Mariona Badía, (unknown), (unknown), (unknown), Luis Serviá, Javier Trujillano	2
15	Stratification of the severity of critically ill patients with classification trees 2009 ·BMC Medical Research Methodology ·Javier Trujillano, Mariona Badía, Luis Serviá, Jaume March‐Llanes, (unknown)	31
16	Skin lesions after intensive care procedures: Results of a prospective study 2008 ·Journal of Critical Care ·Mariona Badía, Javier Trujillano, Luis Serviá, Jaume March‐Llanes, (unknown)	7
17	Aproximación a la metodología basada en árboles de decisión (CART). Mortalidad hospitalaria del infarto agudo de miocardio 2008 ·Gaceta Sanitaria ·Javier Trujillano, Antonio Sarría‐Santamera, Aureli Esquerda, Mariona Badía, (unknown), Jaume March‐Llanes	21
18	Parotiditis aguda tras traqueotomía en Cuidados Intensivos 2006 ·Medicina Intensiva ·Luis Serviá, Mariona Badía, (unknown), Javier Trujillano, (unknown), (unknown)	1
19	Aplicación de las redes neuronales artificiales para la estratificación de riesgo de mortalidad hospitalaria 2003 ·Gaceta Sanitaria ·Javier Trujillano, (unknown), Mariona Badía, (unknown), Albert Sorribas	2
20	Skin lesions in the ICU 1999 ·Intensive Care Medicine ·Mariona Badía, Javier Trujillano, (unknown), Josep Manel Casanova, (unknown), M. A. Mendes de Leon	16

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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