Carles Aguilera

1.1k total citations
21 papers, 796 citations indexed

About

Carles Aguilera is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology. According to data from OpenAlex, Carles Aguilera has authored 21 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Genetics and 7 papers in Epidemiology. Recurrent topics in Carles Aguilera's work include Glioma Diagnosis and Treatment (9 papers), Advanced MRI Techniques and Applications (8 papers) and Meningioma and schwannoma management (7 papers). Carles Aguilera is often cited by papers focused on Glioma Diagnosis and Treatment (9 papers), Advanced MRI Techniques and Applications (8 papers) and Meningioma and schwannoma management (7 papers). Carles Aguilera collaborates with scholars based in Spain, United Kingdom and United States. Carles Aguilera's co-authors include Carles Majós, Carles Arús, J.J. Acebes, Juli Alonso, Marta Serrallonga, Jaume Gili, Margarida Julià‐Sapé, Mònica Cos, Sara Castañer and Juan José Sánchez and has published in prestigious journals such as Radiology, American Journal of Neuroradiology and European Radiology.

In The Last Decade

Carles Aguilera

21 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carles Aguilera Spain 15 457 307 149 124 92 21 796
Jaume Gili Spain 9 329 0.7× 115 0.4× 90 0.6× 76 0.6× 77 0.8× 10 569
Marta Serrallonga Spain 8 317 0.7× 134 0.4× 71 0.5× 56 0.5× 66 0.7× 12 494
Peter E. Ricci United States 13 556 1.2× 363 1.2× 189 1.3× 199 1.6× 54 0.6× 24 1.1k
E F Halpern United States 11 945 2.1× 334 1.1× 160 1.1× 76 0.6× 43 0.5× 11 1.3k
Florian Putz Germany 16 300 0.7× 214 0.7× 129 0.9× 64 0.5× 86 0.9× 91 945
Efstathios D. Gotsis Greece 18 412 0.9× 515 1.7× 70 0.5× 89 0.7× 84 0.9× 31 1.0k
Vibeke A. Larsen Denmark 13 258 0.6× 174 0.6× 63 0.4× 62 0.5× 73 0.8× 24 535
Jiun‐Lin Yan Taiwan 15 329 0.7× 307 1.0× 121 0.8× 107 0.9× 64 0.7× 46 644
Tim Müller Norway 12 351 0.8× 154 0.5× 105 0.7× 265 2.1× 64 0.7× 19 925
José Piquer Spain 14 158 0.3× 264 0.9× 134 0.9× 149 1.2× 310 3.4× 35 940

Countries citing papers authored by Carles Aguilera

Since Specialization
Citations

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

Fields of papers citing papers by Carles Aguilera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carles Aguilera

This figure shows the co-authorship network connecting the top 25 collaborators of Carles Aguilera. A scholar is included among the top collaborators of Carles Aguilera 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 Carles Aguilera. Carles Aguilera 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.
Pons‐Escoda, Albert, Pablo Naval‐Baudin, Paloma Mora, et al.. (2020). Imaging of skull vault tumors in adults. Insights into Imaging. 11(1). 23–23. 24 indexed citations
2.
3.
Naval‐Baudin, Pablo, et al.. (2017). Invasive Sinonasal Lesions: From the Nasal Fossa and Paranasal Sinuses to the Endocranium. Current Problems in Diagnostic Radiology. 47(3). 168–178. 3 indexed citations
4.
Majós, Carles, Mònica Cos, Sara Castañer, et al.. (2016). Preradiotherapy MR Imaging: A Prospective Pilot Study of the Usefulness of Performing an MR Examination Shortly before Radiation Therapy in Patients with Glioblastoma. American Journal of Neuroradiology. 37(12). 2224–2230. 14 indexed citations
5.
Majós, Carles, Mònica Cos, Sara Castañer, et al.. (2015). Early post-operative magnetic resonance imaging in glioblastoma: correlation among radiological findings and overall survival in 60 patients. European Radiology. 26(4). 1048–1055. 27 indexed citations
6.
Mora, Paloma, Carles Majós, Sara Castañer, et al.. (2014). 1H-MRS is useful to reinforce the suspicion of primary central nervous system lymphoma prior to surgery. European Radiology. 24(11). 2895–2905. 13 indexed citations
7.
Julià‐Sapé, Margarida, Carles Majós, Àngels Camins, et al.. (2014). Multicentre evaluation of the INTERPRET decision support system 2.0 for brain tumour classification. NMR in Biomedicine. 27(9). 1009–1018. 8 indexed citations
8.
Julià‐Sapé, Margarida, Carles Majós, Ana Paula Candiota, et al.. (2011). Prospective diagnostic performance evaluation of single‐voxel 1H MRS for typing and grading of brain tumours. NMR in Biomedicine. 25(4). 661–673. 47 indexed citations
9.
Majós, Carles, Jordi Bruna, Margarida Julià‐Sapé, et al.. (2010). Proton MR Spectroscopy Provides Relevant Prognostic Information in High-Grade Astrocytomas. American Journal of Neuroradiology. 32(1). 74–80. 25 indexed citations
10.
Majós, Carles, Carles Aguilera, Mònica Cos, et al.. (2009). In vivo proton magnetic resonance spectroscopy of intraventricular tumours of the brain. European Radiology. 19(8). 2049–2059. 30 indexed citations
11.
Majós, Carles, Carles Aguilera, Juli Alonso, et al.. (2008). Proton MR Spectroscopy Improves Discrimination between Tumor and Pseudotumoral Lesion in Solid Brain Masses. American Journal of Neuroradiology. 30(3). 544–551. 74 indexed citations
12.
Majós, Carles, Margarida Julià‐Sapé, Juli Alonso, et al.. (2005). Brain tumor classification by proton MR spectroscopy: comparison of diagnostic accuracy at short and long TE.. American Journal of Neuroradiology. 25(10). 1696–704. 142 indexed citations
13.
Majós, Carles, Juli Alonso, Carles Aguilera, et al.. (2003). Utility of proton MR spectroscopy in the diagnosis of radiologically atypical intracranial meningiomas. Neuroradiology. 45(3). 129–136. 50 indexed citations
14.
Majós, Carles, Juli Alonso, Carles Aguilera, et al.. (2003). Proton magnetic resonance spectroscopy (1H MRS) of human brain tumours: assessment of differences between tumour types and its applicability in brain tumour categorization. European Radiology. 13(3). 582–591. 115 indexed citations
15.
Majós, Carles, Juli Alonso, Carles Aguilera, et al.. (2002). Adult Primitive Neuroectodermal Tumor: Proton MR Spectroscopic Findings with Possible Application for Differential Diagnosis. Radiology. 225(2). 556–566. 80 indexed citations
16.
Majós, Carles, et al.. (1998). Imaging of giant pituitary adenomas. Neuroradiology. 40(10). 651–655. 23 indexed citations
17.
Majós, Carles, et al.. (1998). Intraventricular ganglioglioma: case report. Neuroradiology. 40(6). 377–379. 20 indexed citations
18.
Arruga, Jorge, et al.. (1998). Meningeal involvement in Beh�et's disease: MRI. Neuroradiology. 40(8). 512–515. 15 indexed citations
19.
Pombo, F., et al.. (1996). Spermatocytic seminoma: sonographic appearance.. Journal of Ultrasound in Medicine. 15(8). 607–609. 4 indexed citations
20.
Soler, Rafaela, et al.. (1996). MRI of Mediastinal Parathyroid Cystic Adenoma Causing Hyperparathyroidism. Journal of Computer Assisted Tomography. 20(1). 166–168. 15 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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