Daniel Palanca Arias

1.5k total citations
43 papers, 818 citations indexed

About

Daniel Palanca Arias is a scholar working on Surgery, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Palanca Arias has authored 43 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 13 papers in Epidemiology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Palanca Arias's work include Congenital Heart Disease Studies (8 papers), Knee injuries and reconstruction techniques (5 papers) and Total Knee Arthroplasty Outcomes (5 papers). Daniel Palanca Arias is often cited by papers focused on Congenital Heart Disease Studies (8 papers), Knee injuries and reconstruction techniques (5 papers) and Total Knee Arthroplasty Outcomes (5 papers). Daniel Palanca Arias collaborates with scholars based in Spain, United States and Switzerland. Daniel Palanca Arias's co-authors include M. Doblaré, Begoña Calvo, Estefanía Peña, M.Á. Martínez, F. Seral, Miguel Ángel Martínez, B. Seral, L. Gracia, J. Banzo and Rafael González and has published in prestigious journals such as SHILAP Revista de lepidopterología, Intensive Care Medicine and Accident Analysis & Prevention.

In The Last Decade

Daniel Palanca Arias

33 papers receiving 789 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Palanca Arias Spain 10 693 172 116 99 94 43 818
Melbourne D. Boynton United States 11 633 0.9× 194 1.1× 168 1.4× 437 4.4× 111 1.2× 17 917
Tanguy Vendeuvre France 14 411 0.6× 107 0.6× 163 1.4× 54 0.5× 44 0.5× 75 631
RA Mollan United Kingdom 13 447 0.6× 80 0.5× 103 0.9× 57 0.6× 180 1.9× 19 680
Lingaraj Krishna Singapore 19 859 1.2× 53 0.3× 81 0.7× 377 3.8× 91 1.0× 56 1.0k
Roger H. Emerson United States 30 2.4k 3.4× 183 1.1× 106 0.9× 86 0.9× 47 0.5× 65 2.5k
Sven Shafizadeh Germany 20 1.0k 1.5× 205 1.2× 194 1.7× 336 3.4× 33 0.4× 57 1.2k
Dale K. Dedrick United States 10 403 0.6× 139 0.8× 85 0.7× 137 1.4× 313 3.3× 17 661
Daniel C. Wascher United States 18 1.6k 2.3× 249 1.4× 91 0.8× 523 5.3× 264 2.8× 50 1.8k
M Roffman Israel 18 688 1.0× 100 0.6× 121 1.0× 70 0.7× 60 0.6× 67 778
J.A. Fairclough United Kingdom 16 524 0.8× 101 0.6× 78 0.7× 225 2.3× 81 0.9× 39 719

Countries citing papers authored by Daniel Palanca Arias

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Palanca Arias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Palanca Arias

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

All Works

20 of 20 papers shown
1.
2.
Oulego‐Erroz, Ignacio, et al.. (2024). Association between early echocardiography screening of low systemic blood flow and intraventricular hemorrhage in preterm infants: a multicenter cohort study. Journal of Perinatology. 44(10). 1496–1503. 1 indexed citations
3.
Arias, Daniel Palanca, et al.. (2023). Early assessment of cardiomyopathy in Duchenne patients by means of longitudinal strain echocardiography. Cardiology in the Young. 34(1). 151–156. 2 indexed citations
4.
Álvarez, Silvia Izquierdo, et al.. (2021). Postnatal cardiomyopathy in a newborn with Salih myopathy. Medicina Clínica (English Edition). 157(10). 499–500. 1 indexed citations
5.
Arias, Daniel Palanca, et al.. (2021). Flutter auricular neonatal: presentación de tres casos. Revista Colombiana de Cardiología. 28(1).
6.
Arias, Daniel Palanca, et al.. (2021). Estimating the effect of vehicle speeds on bicycle and pedestrian safety on the Georgia arterial roadway network. Accident Analysis & Prevention. 161. 106351–106351. 5 indexed citations
7.
Arias, Daniel Palanca, et al.. (2020). Miocardiopatía dilatada por miocarditis aguda: ¿Bordetella pertussis como agente causal?. Acta Pediátrica de México. 41(1). 21–21.
8.
Arias, Daniel Palanca, et al.. (2019). Evolution of strain and strain rate values throughout gestation in healthy fetuses. International journal of cardiac imaging. 36(1). 59–66. 10 indexed citations
9.
Arias, Daniel Palanca, et al.. (2017). Bloqueo auriculoventricular completo y asistolia en un niño con ataxia-telangiectasia. Archivos Argentinos de Pediatria. 115(5). e291–e293. 1 indexed citations
10.
Arias, Daniel Palanca, et al.. (2016). Right (atrial) appendage enlargement: Prenatal diagnosis and postnatal follow up. Anales de Pediatría (English Edition). 84(6). 337–339. 5 indexed citations
11.
Arias, Daniel Palanca, et al.. (2016). Biomarkers detect involvement of acute myocardial injury in a paediatric haemolytic–uraemic syndrome patient. Cardiology in the Young. 26(5). 983–986. 5 indexed citations
12.
Pons, M., et al.. (2015). SpO2/FiO2 as a predictor of non-invasive ventilation failure in children with hypoxemic respiratory insufficiency. Journal of Pediatric Intensive Care. 2(3). 111–119. 10 indexed citations
13.
Martín-Lázaro, Juan, et al.. (2012). Hepatopathy-Thrombocytopenia Syndrome After Actinomycin-D Therapy: Treatment With Defibrotide. Pediatric Hematology and Oncology. 30(1). 25–27. 4 indexed citations
14.
Arias, Daniel Palanca, et al.. (2010). Desarrollo de un entorno virtual de enseñanza-aprendizaje para la Universidad Nacional de Salta. El Servicio de Difusión de la Creación Intelectual (National University of La Plata).
15.
Peña, Estefanía, Begoña Calvo, Miguel Ángel Martínez, Daniel Palanca Arias, & M. Doblaré. (2006). Why lateral meniscectomy is more dangerous than medial meniscectomy. A finite element study. Journal of Orthopaedic Research®. 24(5). 1001–1010. 144 indexed citations
16.
Banzo, J., et al.. (2004). A Comparative Analysis of Different Treatments for Distal Femur Fractures using the Finite Element Method. Computer Methods in Biomechanics & Biomedical Engineering. 7(5). 245–256. 31 indexed citations
17.
Usunoff, Eduardo & Daniel Palanca Arias. (2004). REACTIVIDAD DE SOLUTOS COMUNES EN AGUAS SUBTERRÁNEAS DE LA CUENCA DEL ARROYO DEL AZUL, ARGENTINA. 4. 3 indexed citations
18.
Arias, Daniel Palanca, et al.. (1999). Estudio tridimensional con elementos finitos de la fijación externa e interna en las fracturas de pelvis. Revista Española de Cirugía Ortopédica y Traumatología. 43(4). 305–313. 2 indexed citations
19.
Segura, Joseph W., et al.. (1997). Baker's pseudocyst in the prosthetic knee affected with aggressive granulomatosis caused by polyethylene wear.. PubMed. 81(4). 421–6. 2 indexed citations
20.
Arias, Daniel Palanca, et al.. (1996). Complications and technical problems with the gamma nail. International Orthopaedics. 20(1). 47–50. 83 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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