Jonas A. Castelijns

3.8k total citations · 1 hit paper
59 papers, 2.7k citations indexed

About

Jonas A. Castelijns is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Surgery. According to data from OpenAlex, Jonas A. Castelijns has authored 59 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Ophthalmology and 19 papers in Surgery. Recurrent topics in Jonas A. Castelijns's work include Ocular Oncology and Treatments (23 papers), MRI in cancer diagnosis (14 papers) and Head and Neck Surgical Oncology (13 papers). Jonas A. Castelijns is often cited by papers focused on Ocular Oncology and Treatments (23 papers), MRI in cancer diagnosis (14 papers) and Head and Neck Surgical Oncology (13 papers). Jonas A. Castelijns collaborates with scholars based in Netherlands, Germany and Italy. Jonas A. Castelijns's co-authors include Frederik Barkhof, Pim de Graaf, Paul van der Valk, Marianne A.A. van Walderveen, Annette C. Moll, Geert J. Lycklama à Nijeholt, Marcus C. de Jong, J.H.T.M. van Waesberghe, Petra J. W. Pouwels and C. René Leemans and has published in prestigious journals such as Neurology, Annals of Neurology and Radiology.

In The Last Decade

Jonas A. Castelijns

58 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Axonal loss in multiple sclerosis lesions: Magnetic resonance imaging insights into substrates of disability

1999 586 citations Marianne A.A. van Walderveen, Jonas A. Castelijns et al. Annals of Neurology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonas A. Castelijns Netherlands	26	1.2k	928	661	461	392	59	2.7k
Nikolaos E. Bechrakis Germany	32	911 0.8×	496 0.5×	2.4k 3.7×	793 1.7×	515 1.3×	220	3.5k
P N Plowman United Kingdom	28	400 0.3×	306 0.3×	433 0.7×	726 1.6×	482 1.2×	94	2.8k
Hendrikus J. Dubbink Netherlands	36	680 0.6×	577 0.6×	172 0.3×	701 1.5×	328 0.8×	111	4.0k
Alexander Muacevic Germany	35	837 0.7×	252 0.3×	211 0.3×	619 1.3×	597 1.5×	140	3.8k
Robert W. Kline United States	24	648 0.5×	366 0.4×	311 0.5×	552 1.2×	664 1.7×	58	3.7k
Cees Tijssen Netherlands	28	437 0.4×	335 0.4×	191 0.3×	287 0.6×	999 2.5×	72	3.6k
Shannon M. MacDonald United States	46	1.1k 0.9×	469 0.5×	165 0.2×	610 1.3×	912 2.3×	188	5.4k
Jean‐Louis Habrand France	35	311 0.3×	343 0.4×	193 0.3×	415 0.9×	673 1.7×	91	3.8k
Doo‐Sik Kong South Korea	41	617 0.5×	1.1k 1.2×	169 0.3×	807 1.8×	2.1k 5.3×	250	6.1k
Alessia Pica Switzerland	22	489 0.4×	83 0.1×	406 0.6×	369 0.8×	433 1.1×	100	2.6k

Countries citing papers authored by Jonas A. Castelijns

Since Specialization

Citations

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

Fields of papers citing papers by Jonas A. Castelijns

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonas A. Castelijns. 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 Jonas A. Castelijns. The network helps show where Jonas A. Castelijns may publish in the future.

Co-authorship network of co-authors of Jonas A. Castelijns

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas A. Castelijns. A scholar is included among the top collaborators of Jonas A. Castelijns 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 Jonas A. Castelijns. Jonas A. Castelijns 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

Ahmadian, Milad, Zuhir Bodalal, Roland M. Martens, et al.. (2025). Explainable feature selection combining particle swarm optimisation with adaptive LASSO for MRI radiogenomics: Predicting HPV status in oropharyngeal cancer. Computer Methods and Programs in Biomedicine. 275. 109204–109204.

Uner, Ogul E., Yvonne de Jong, Sophia Göricke, et al.. (2023). Correlation of gene expression with magnetic resonance imaging features of retinoblastoma: a multi-center radiogenomics validation study. European Radiology. 34(2). 863–872. 3 indexed citations

Martens, Roland M., Thomas Koopman, Cristina Lavini, et al.. (2022). Early Response Prediction of Multiparametric Functional MRI and 18F-FDG-PET in Patients with Head and Neck Squamous Cell Carcinoma Treated with (Chemo)Radiation. Cancers. 14(1). 216–216. 13 indexed citations

Koopman, Thomas, Roland M. Martens, Oliver J. Gurney‐Champion, et al.. (2021). Repeatability of IVIM biomarkers from diffusion‐weighted MRI in head and neck: Bayesian probability versus neural network. Magnetic Resonance in Medicine. 85(6). 3394–3402. 18 indexed citations

Martens, Roland M., Thomas Koopman, Daniel P. Noij, et al.. (2020). Predictive value of quantitative 18F-FDG-PET radiomics analysis in patients with head and neck squamous cell carcinoma. EJNMMI Research. 10(1). 102–102. 31 indexed citations

Martens, Roland M., Thomas Koopman, Cristina Lavini, et al.. (2020). Multiparametric functional MRI and 18F-FDG-PET for survival prediction in patients with head and neck squamous cell carcinoma treated with (chemo)radiation. European Radiology. 31(2). 616–628. 33 indexed citations

Koopman, Thomas, Roland M. Martens, Cristina Lavini, et al.. (2020). Repeatability of arterial input functions and kinetic parameters in muscle obtained by dynamic contrast enhanced MR imaging of the head and neck. Magnetic Resonance Imaging. 68. 1–8. 11 indexed citations

Jong, Marcus C. de, Irsan Kooi, Selma Sirin, et al.. (2018). MR Imaging Features of Retinoblastoma: Association with Gene Expression Profiles. Radiology. 288(2). 506–515. 18 indexed citations

Noij, Daniel P., Roland M. Martens, Gerben J.C. Zwezerijnen, et al.. (2018). Diagnostic value of diffusion-weighted imaging and 18F-FDG-PET/CT for the detection of unknown primary head and neck cancer in patients presenting with cervical metastasis. European Journal of Radiology. 107. 20–25. 25 indexed citations

10.

Sirin, Selma, Marcus C. de Jong, Pim de Graaf, et al.. (2015). High-Resolution Magnetic Resonance Imaging Can Reliably Detect Orbital Tumor Recurrence after Enucleation in Children with Retinoblastoma. Ophthalmology. 123(3). 635–645. 15 indexed citations

11.

Brisse, Hervé J., Pim de Graaf, Paolo Galluzzi, et al.. (2014). Assessment of early-stage optic nerve invasion in retinoblastoma using high-resolution 1.5 Tesla MRI with surface coils: a multicentre, prospective accuracy study with histopathological correlation. European Radiology. 25(5). 1443–1452. 31 indexed citations

12.

Jong, Marcus C. de, Pim de Graaf, Daniel P. Noij, et al.. (2014). Diagnostic Performance of Magnetic Resonance Imaging and Computed Tomography for Advanced Retinoblastoma. Ophthalmology. 121(5). 1109–1118. 48 indexed citations

13.

Rodjan, Firazia, Pim de Graaf, Hervé J. Brisse, et al.. (2013). Second cranio-facial malignancies in hereditary retinoblastoma survivors previously treated with radiation therapy: Clinic and radiologic characteristics and survival outcomes. European Journal of Cancer. 49(8). 1939–1947. 20 indexed citations

14.

Rodjan, Firazia, Pim de Graaf, Hervé J. Brisse, et al.. (2012). Trilateral retinoblastoma: neuroimaging characteristics and value of routine brain screening on admission. Journal of Neuro-Oncology. 109(3). 535–544. 33 indexed citations

15.

Graaf, Pim de, Sophia Göricke, Firazia Rodjan, et al.. (2011). Guidelines for imaging retinoblastoma: imaging principles and MRI standardization. Pediatric Radiology. 42(1). 2–14. 138 indexed citations

16.

Rodjan, Firazia, Pim de Graaf, Annette C. Moll, et al.. (2010). Brain Abnormalities on MR Imaging in Patients with Retinoblastoma. American Journal of Neuroradiology. 31(8). 1385–1389. 25 indexed citations

17.

Graaf, Pim de, Paul van der Valk, Annette C. Moll, et al.. (2009). Contrast-Enhancement of the Anterior Eye Segment in Patients with Retinoblastoma: Correlation between Clinical, MR Imaging, and Histopathologic Findings. American Journal of Neuroradiology. 31(2). 237–245. 23 indexed citations

18.

Graaf, Pim de, Frederik Barkhof, Annette C. Moll, et al.. (2005). Retinoblastoma: MR Imaging Parameters in Detection of Tumor Extent. Radiology. 235(1). 197–207. 75 indexed citations

19.

Nijeholt, Geert J. Lycklama à, Bernard M.J. Uitdehaag, Elisabeth Bergers, et al.. (2000). Spinal cord magnetic resonance imaging in suspected multiple sclerosis. European Radiology. 10(2). 368–376. 22 indexed citations

20.

Walderveen, Marianne A.A. van, Frederik Barkhof, Petra J. W. Pouwels, et al.. (1999). Neuronal damage in T1-hypointense multiple sclerosis lesions demonstrated in vivo using proton magnetic resonance spectroscopy. Annals of Neurology. 46(1). 79–87. 162 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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