Karel Deblaere

1.8k total citations
49 papers, 1.3k citations indexed

About

Karel Deblaere is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Karel Deblaere has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Genetics and 11 papers in Cognitive Neuroscience. Recurrent topics in Karel Deblaere's work include Glioma Diagnosis and Treatment (16 papers), Advanced MRI Techniques and Applications (15 papers) and Medical Imaging Techniques and Applications (13 papers). Karel Deblaere is often cited by papers focused on Glioma Diagnosis and Treatment (16 papers), Advanced MRI Techniques and Applications (15 papers) and Medical Imaging Techniques and Applications (13 papers). Karel Deblaere collaborates with scholars based in Belgium, Australia and Netherlands. Karel Deblaere's co-authors include Pieter Vandemaele, Guy Vingerhoets, Erik Achten, Eric Achten, Floris P. de Lange, Ingeborg Goethals, Paul Boon, Kristl Vonck, Roel Van Holen and Caroline Van den Broecke and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Karel Deblaere

49 papers receiving 1.3k citations

Peers

Karel Deblaere
Sarah Lippé Canada
Erik Achten Belgium
Christian Richelme France
Riccardo Budai Italy
Ludovico D’Incerti Italy
Raphaël Massarelli France
Jack Grinband United States
Geert-Jan Rutten Netherlands
J. Ruhlmann Germany
Irem Aselcioglu United States
Sarah Lippé Canada
Karel Deblaere
Citations per year, relative to Karel Deblaere Karel Deblaere (= 1×) peers Sarah Lippé

Countries citing papers authored by Karel Deblaere

Since Specialization
Citations

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

Fields of papers citing papers by Karel Deblaere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karel Deblaere

This figure shows the co-authorship network connecting the top 25 collaborators of Karel Deblaere. A scholar is included among the top collaborators of Karel Deblaere 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 Karel Deblaere. Karel Deblaere 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.
Vanhove, Christian, Luc Leybaert, Robrecht Raedt, et al.. (2024). An improved F98 glioblastoma rat model to evaluate novel treatment strategies incorporating the standard of care. PLoS ONE. 19(1). e0296360–e0296360. 5 indexed citations
2.
Bolcaen, Julie, Benedicte Descamps, Karel Deblaere, et al.. (2021). Assessment of the effect of therapy in a rat model of glioblastoma using [18F]FDG and [18F]FCho PET compared to contrast-enhanced MRI. PLoS ONE. 16(3). e0248193–e0248193. 6 indexed citations
3.
Deblaere, Karel, et al.. (2020). Automated MRI based pipeline for segmentation and prediction of grade, IDH mutation and 1p19q co-deletion in glioma. Computerized Medical Imaging and Graphics. 88. 101831–101831. 61 indexed citations
4.
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Verhoeven, Jeroen, Anne Vral, Olivier De Wever, et al.. (2019). Adjuvant therapeutic potential of tonabersat in the standard treatment of glioblastoma: A preclinical F98 glioblastoma rat model study. PLoS ONE. 14(10). e0224130–e0224130. 18 indexed citations
6.
Linden, Catharine Vander, Helena Verhelst, Ellen Deschepper, et al.. (2019). Is diffuse axonal injury on susceptibility weighted imaging a biomarker for executive functioning in adolescents with traumatic brain injury?. European Journal of Paediatric Neurology. 23(3). 525–536. 8 indexed citations
7.
Verhoeven, Jeroen, Fabian Hulpia, Ken Kersemans, et al.. (2019). New fluoroethyl phenylalanine analogues as potential LAT1-targeting PET tracers for glioblastoma. Scientific Reports. 9(1). 2878–2878. 22 indexed citations
8.
Coppieters, Iris, Robby De Pauw, Karen Caeyenberghs, et al.. (2018). Differences in white matter structure and cortical thickness between patients with traumatic and idiopathic chronic neck pain: Associations with cognition and pain modulation?. Human Brain Mapping. 39(4). 1721–1742. 35 indexed citations
9.
Neyt, Sara, Bert Vandeghinste, Pieter Mollet, et al.. (2018). Species-dependent extracranial manifestations of a brain seeking breast cancer cell line. PLoS ONE. 13(12). e0208340–e0208340. 6 indexed citations
10.
Bolcaen, Julie, Benedicte Descamps, Marjan Acou, et al.. (2017). In Vivo DCE-MRI for the Discrimination Between Glioblastoma and Radiation Necrosis in Rats. Molecular Imaging and Biology. 19(6). 857–866. 16 indexed citations
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Bolcaen, Julie, Marjan Acou, Tom Boterberg, et al.. (2016). 18F-FCho PET and MRI for the prediction of response in glioblastoma patients according to the RANO criteria. Nuclear Medicine Communications. 38(3). 242–249. 16 indexed citations
13.
Bolcaen, Julie, Benedicte Descamps, Karel Deblaere, et al.. (2014). F-18 fluoromethylcholine (FCho), F-18 fluoroethyltyrosine (FET) and F-18 fluorodeoxyglucose (FDG) for the discrimination between high-grade glioma and radiation necrosis in rats: a PET study. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
14.
Bolcaen, Julie, Benedicte Descamps, Karel Deblaere, et al.. (2014). MRI-guided 3D conformal arc micro-irradiation of a F98 glioblastoma rat model using the Small Animal Radiation Research Platform (SARRP). Journal of Neuro-Oncology. 120(2). 257–266. 29 indexed citations
15.
Descamps, Benedicte, Pieter Vandemaele, Harmen Reyngoudt, et al.. (2011). Quantifying hemodynamic refractory bold effects in normal subjects at the single‐subject level using an inverse logit fitting procedure. Journal of Magnetic Resonance Imaging. 35(3). 723–730. 2 indexed citations
16.
Deblaere, Karel, et al.. (2009). Preoperative fMRI in tumour surgery. European Radiology. 19(10). 2523–2534. 52 indexed citations
17.
Deblaere, Karel, Walter H. Backes, Pieter Vandemaele, et al.. (2005). Lateralized Anterior Mesiotemporal Lobe Activation: Semirandom Functional MR Imaging Encoding Paradigm in Patients with Temporal Lobe Epilepsy—Initial Experience. Radiology. 236(3). 996–1003. 26 indexed citations
18.
Vingerhoets, Guy, Karel Deblaere, Walter H. Backes, et al.. (2003). Lessons for neuropsychology from functional MRI in patients with epilepsy. Epilepsy & Behavior. 5. 81–89. 18 indexed citations
19.
Deblaere, Karel, Walter H. Backes, Paul A.M. Hofman, et al.. (2002). Developing a comprehensive presurgical functional MRI protocol for patients with intractable temporal lobe epilepsy: a pilot study. Neuroradiology. 44(8). 667–673. 77 indexed citations
20.
Achten, Eric, Karel Deblaere, Carlos De Wagter, et al.. (1998). Intra- and interobserver variability of MRI-based volume measurements of the hippocampus and amygdala using the manual ray-tracing method. Neuroradiology. 40(9). 558–566. 20 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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