Leon C. ter Beek

2.3k total citations · 1 hit paper
35 papers, 1.8k citations indexed

About

Leon C. ter Beek is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Epidemiology. According to data from OpenAlex, Leon C. ter Beek has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Leon C. ter Beek's work include Advanced MRI Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and MRI in cancer diagnosis (8 papers). Leon C. ter Beek is often cited by papers focused on Advanced MRI Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and MRI in cancer diagnosis (8 papers). Leon C. ter Beek collaborates with scholars based in Netherlands, Canada and Belgium. Leon C. ter Beek's co-authors include Bernard E. Van Beers, Ralph Sinkus, Frank Peeters, Laurence Annet, Najat Salameh, Laurent Huwart, Yves Horsmans, Christine Sempoux, Éric Vicaut and Étienne Danse and has published in prestigious journals such as The Journal of Chemical Physics, Physical review. B, Condensed matter and Gastroenterology.

In The Last Decade

Leon C. ter Beek

31 papers receiving 1.8k citations

Hit Papers

Magnetic Resonance Elastography for the Noninvasive Stagi... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers

Leon C. ter Beek
Najat Salameh Switzerland
Won Chang South Korea
Andrew C. Larson United States
Iio M Japan
Sang Min Lee South Korea
Najat Salameh Switzerland
Leon C. ter Beek
Citations per year, relative to Leon C. ter Beek Leon C. ter Beek (= 1×) peers Najat Salameh

Countries citing papers authored by Leon C. ter Beek

Since Specialization
Citations

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

Fields of papers citing papers by Leon C. ter Beek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leon C. ter Beek. 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 Leon C. ter Beek. The network helps show where Leon C. ter Beek may publish in the future.

Co-authorship network of co-authors of Leon C. ter Beek

This figure shows the co-authorship network connecting the top 25 collaborators of Leon C. ter Beek. A scholar is included among the top collaborators of Leon C. ter Beek 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 Leon C. ter Beek. Leon C. ter Beek 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.
Beek, Leon C. ter, Loes Braun, Frans J. M. Hilgers, et al.. (2025). MfMRI assessment of muscle activation by swallowing exercises in laryngectomized individuals: investigating conventional and resistance-based exercises using the swallow exercise aid (SEA). European Archives of Oto-Rhino-Laryngology. 282(12). 6519–6532.
2.
Karssemakers, L.H.E., Loes Braun, Leon C. ter Beek, et al.. (2025). MRI-based 3D models of cranial nerves in clinical care: a systematic review. European Radiology Experimental. 9(1). 70–70. 1 indexed citations
3.
Mulder, Inge A., Leon C. ter Beek, L.H.E. Karssemakers, et al.. (2025). Perforator mapping for head and neck reconstructive surgery: a novel personalized approach using magnetic resonance angiography based 3D models and 3D-printing. Frontiers in Oncology. 15. 1655904–1655904.
4.
Ursprung, Stephan, Petra J. van Houdt, Leon C. ter Beek, et al.. (2025). Prostate MRI Using Deep Learning Reconstruction in Response to Cancer Screening Demands—A Systematic Review and Meta-Analysis. Journal of Personalized Medicine. 15(7). 284–284.
5.
6.
Schipper, Robert‐Jan, et al.. (2023). Breast DWI Analyzed Before and After Gadolinium Contrast Administration—An Intrapatient Analysis on 1.5 T and 3.0 T. Investigative Radiology. 58(12). 832–841. 1 indexed citations
7.
Bodalal, Zuhir, Leon C. ter Beek, José G. van den Berg, et al.. (2023). Radiomic signatures from T2W and DWI MRI are predictive of tumour hypoxia in colorectal liver metastases. Insights into Imaging. 14(1). 133–133. 10 indexed citations
9.
Voncken, Francine E.M., Doenja M. J. Lambregts, Monique Maas, et al.. (2020). Clinical response assessment on DW-MRI compared with FDG-PET/CT after neoadjuvant chemoradiotherapy in patients with oesophageal cancer. European Journal of Nuclear Medicine and Molecular Imaging. 48(1). 176–185. 9 indexed citations
10.
Beek, Leon C. ter, Bas Jasperse, Johannes Peeters, et al.. (2020). MRI Assessment of Swallow Muscle Activation with the Swallow Exercise Aid and with Conventional Exercises in Healthy Volunteers: An Explorative Biomechanical Study. Dysphagia. 36(1). 41–53. 5 indexed citations
11.
Ivashchenko, Oleksandra, Erik-Jan Rijkhorst, Leon C. ter Beek, et al.. (2020). A workflow for automated segmentation of the liver surface, hepatic vasculature and biliary tree anatomy from multiphase MR images. Magnetic Resonance Imaging. 68. 53–65. 23 indexed citations
12.
Ivashchenko, Oleksandra, Jasper N. Smit, Jasper Nijkamp, et al.. (2020). Clinical Implementation of In-House Developed MR-Based Patient-Specific 3D Models of Liver Anatomy. European Surgical Research. 61(4-5). 143–152. 5 indexed citations
13.
Voncken, Francine E.M., Jolanda M. van Dieren, Doenja M. J. Lambregts, et al.. (2019). Diagnostic performance of MRI for assessment of response to neoadjuvant chemoradiotherapy in oesophageal cancer. British journal of surgery. 106(5). 596–605. 23 indexed citations
14.
Houdt, Petra J. van, Marlies E. Nowee, Rob H.N. Tijssen, et al.. (2019). Feasibility and accuracy of quantitative imaging on a 1.5 T MR-linear accelerator. Radiotherapy and Oncology. 133. 156–162. 82 indexed citations
15.
Griethuysen, Joost J. M. van, Michael Hauptmann, Max J. Lahaye, et al.. (2017). Gas-induced susceptibility artefacts on diffusion-weighted MRI of the rectum at 1.5 T – Effect of applying a micro-enema to improve image quality. European Journal of Radiology. 99. 131–137. 51 indexed citations
16.
Huwart, Laurent, Christine Sempoux, Éric Vicaut, et al.. (2008). Magnetic Resonance Elastography for the Noninvasive Staging of Liver Fibrosis. Gastroenterology. 135(1). 32–40. 569 indexed citations breakdown →
17.
Huwart, Laurent, Christine Sempoux, Najat Salameh, et al.. (2007). Liver Fibrosis: Noninvasive Assessment with MR Elastography versus Aspartate Aminotransferase–to-Platelet Ratio Index. Radiology. 245(2). 458–466. 307 indexed citations
18.
Salameh, Najat, Frank Peeters, Ralph Sinkus, et al.. (2007). Hepatic viscoelastic parameters measured with MR elastography: Correlations with quantitative analysis of liver fibrosis in the rat. Journal of Magnetic Resonance Imaging. 26(4). 956–962. 76 indexed citations
19.
Huwart, Laurent, Frank Peeters, Ralph Sinkus, et al.. (2006). Liver fibrosis: non‐invasive assessment with MR elastography. NMR in Biomedicine. 19(2). 173–179. 343 indexed citations
20.
Beek, Leon C. ter, et al.. (1996). Nuclear magnetic resonance study of the conformation and dynamics of beta-casein at the oil/water interface in emulsions. Biophysical Journal. 70(5). 2396–2402. 19 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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