Carles Majós

3.0k total citations
78 papers, 1.9k citations indexed

About

Carles Majós is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Neurology. According to data from OpenAlex, Carles Majós has authored 78 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Radiology, Nuclear Medicine and Imaging, 33 papers in Genetics and 16 papers in Neurology. Recurrent topics in Carles Majós's work include Glioma Diagnosis and Treatment (33 papers), Advanced MRI Techniques and Applications (21 papers) and MRI in cancer diagnosis (15 papers). Carles Majós is often cited by papers focused on Glioma Diagnosis and Treatment (33 papers), Advanced MRI Techniques and Applications (21 papers) and MRI in cancer diagnosis (15 papers). Carles Majós collaborates with scholars based in Spain, United Kingdom and Netherlands. Carles Majós's co-authors include Carles Arús, Carles Aguilera, J.J. Acebes, Margarida Julià‐Sapé, Juli Alonso, Marta Serrallonga, Franklyn A. Howe, Jaume Gili, A. Rosemary Tate and Àngel Moreno‐Torres and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Scientific Reports.

In The Last Decade

Carles Majós

74 papers receiving 1.8k 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 Majós Spain 24 984 619 333 279 278 78 1.9k
Javier Villanueva-Meyer United States 27 1.3k 1.3× 834 1.3× 352 1.1× 201 0.7× 408 1.5× 104 2.6k
Scott N. Hwang United States 24 1.2k 1.3× 644 1.0× 115 0.3× 235 0.8× 126 0.5× 64 2.1k
Chantal Rémy France 32 1.4k 1.4× 532 0.9× 192 0.6× 546 2.0× 155 0.6× 64 2.8k
Peter McLaren Black United States 18 419 0.4× 263 0.4× 250 0.8× 283 1.0× 308 1.1× 38 1.6k
Geoffrey S. Young United States 23 728 0.7× 482 0.8× 171 0.5× 485 1.7× 118 0.4× 76 2.3k
Dawid Schellingerhout United States 26 716 0.7× 235 0.4× 163 0.5× 425 1.5× 338 1.2× 106 2.5k
Daniel Chow United States 28 1.4k 1.5× 627 1.0× 309 0.9× 164 0.6× 318 1.1× 95 2.6k
Phedias Diamandis Canada 22 320 0.3× 295 0.5× 158 0.5× 571 2.0× 195 0.7× 60 1.6k
Carles Aguilera Spain 15 457 0.5× 307 0.5× 124 0.4× 92 0.3× 149 0.5× 21 796
Kea Franz Germany 29 1.6k 1.6× 2.5k 4.1× 434 1.3× 471 1.7× 1.1k 4.0× 66 3.9k

Countries citing papers authored by Carles Majós

Since Specialization
Citations

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

Fields of papers citing papers by Carles Majós

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carles Majós

This figure shows the co-authorship network connecting the top 25 collaborators of Carles Majós. A scholar is included among the top collaborators of Carles Majós 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 Majós. Carles Majós 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.
Naval‐Baudin, Pablo, William Bermúdez, Ignacio Martínez‐Zalacaín, et al.. (2025). 3D T1 turbo spin echo improves detection of gadolinium-enhancing multiple-sclerosis lesions. Insights into Imaging. 16(1). 212–212.
2.
Villà, S., Carles Majós, Albert Pons‐Escoda, et al.. (2024). Salvage reirradiation for recurrent glioblastoma: a retrospective case series analysis. Clinical & Translational Oncology. 27(5). 2104–2112.
3.
Pons‐Escoda, Albert, Pablo Naval‐Baudin, Ignacio Martínez‐Zalacaín, et al.. (2024). DSC-PWI presurgical differentiation of grade 4 astrocytoma and glioblastoma in young adults: rCBV percentile analysis across enhancing and non-enhancing regions. Neuroradiology. 66(8). 1267–1277. 1 indexed citations
4.
Pons‐Escoda, Albert, Alonso García-Ruiz, Rubén Gil‐Solsona, et al.. (2023). MR dynamic-susceptibility-contrast perfusion metrics in the presurgical discrimination of adult solitary intra-axial cerebellar tumors. European Radiology. 33(12). 9120–9129. 2 indexed citations
5.
Naval‐Baudin, Pablo, Albert Pons‐Escoda, Àngels Camins, et al.. (2023). Deeply 3D-T1-TFE hypointense voxels are characteristic of phase-rim lesions in multiple sclerosis. European Radiology. 34(2). 1337–1345. 7 indexed citations
6.
García-Ruiz, Alonso, Pablo Naval‐Baudin, Marta Ligero, et al.. (2021). Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma. Scientific Reports. 11(1). 695–695. 23 indexed citations
7.
Sánchez‐Osuna, María, Alejandro Sánchez‐Chardi, Salvio Suárez–García, et al.. (2021). Gossypol Treatment Restores Insufficient Apoptotic Function of DFF40/CAD in Human Glioblastoma Cells. Cancers. 13(21). 5579–5579. 3 indexed citations
8.
Doménech, Marta, Andreas A. Argyriou, Noelia Vilariño, et al.. (2021). Perilesional edema in brain metastases as predictive factor of response to systemic therapy in non-small cell lung cancer patients: a preliminary study. Annals of Translational Medicine. 9(8). 648–648. 5 indexed citations
9.
10.
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
11.
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
12.
Majós, Carles, et al.. (2012). Orbital lymphoma: imaging features and differential diagnosis. Insights into Imaging. 3(4). 337–344. 45 indexed citations
13.
Martínez‐Yélamos, Sergio, et al.. (2011). Rhombencephalitis. Medicine. 90(4). 256–261. 55 indexed citations
14.
15.
Cano, L.M., Sergio Martínez‐Yélamos, Carles Majós, et al.. (2009). Reversible acute leukoencephalopathy as a form of presentation in cerebral amyloid angiopathy. Journal of the Neurological Sciences. 288(1-2). 190–193. 9 indexed citations
16.
Devos, Andy, Johan A. K. Suykens, L. Vanhamme, et al.. (2004). Classification of brain tumours using short echo time 1H MR spectra. Journal of Magnetic Resonance. 170(1). 164–175. 132 indexed citations
17.
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
18.
Lukas, Lukas, Andy Devos, Johan A. K. Suykens, et al.. (2002). The use of LS-SVM in the classification of brain tumors based on magnetic resonance spectroscopy signals. The European Symposium on Artificial Neural Networks. 131–136. 5 indexed citations
19.
Tate, A. Rosemary, Carles Majós, Ángel Moreno, et al.. (2002). Automated classification of short echo time in in vivo 1H brain tumor spectra: A multicenter study. Magnetic Resonance in Medicine. 49(1). 29–36. 128 indexed citations
20.
Majós, Carles, et al.. (1997). Central neurocytoma arising in the third ventricle. Neuroradiology. 39(4). 270–272. 17 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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