R.G.J. Kierkels
About
R.G.J. Kierkels is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, R.G.J. Kierkels has authored 28 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiation, 14 papers in Pulmonary and Respiratory Medicine and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in R.G.J. Kierkels's work include Advanced Radiotherapy Techniques (15 papers), Head and Neck Cancer Studies (10 papers) and Radiation Therapy and Dosimetry (8 papers). R.G.J. Kierkels is often cited by papers focused on Advanced Radiotherapy Techniques (15 papers), Head and Neck Cancer Studies (10 papers) and Radiation Therapy and Dosimetry (8 papers). R.G.J. Kierkels collaborates with scholars based in Netherlands, Sweden and United States. R.G.J. Kierkels's co-authors include Johannes A. Langendijk, Erik W. Korevaar, A. van der Schaaf, Roel J.H.M. Steenbakkers, D. Scandurra, R.J.H.M. Steenbakkers, Stefan Both, Hans Paul van der Laan, Hendrik P. Bijl and Peter van Luijk and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Science Translational Medicine and Physics in Medicine and Biology.
In The Last Decade
R.G.J. Kierkels
26 papers receiving 750 citations
Peers
R.G.J. Kierkels
I. Dell’Oca Italy
Henk P. Bijl Netherlands
Antonetta C. Houweling Netherlands
Eliana Vásquez Osorio United Kingdom
O. Chouvalova Netherlands
Sonja Stieb Switzerland
Stefania Clemente Italy
Hui-Min Ting Taiwan
Changjuan Tao China
Kee H. Wong United Kingdom
Citations per year, relative to R.G.J. Kierkels R.G.J. Kierkels (= 1×)
peers
I. Dell’Oca
Countries citing papers authored by R.G.J. Kierkels
Since
Specialization
Citations
This map shows the geographic impact of R.G.J. Kierkels'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 R.G.J. Kierkels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.G.J. Kierkels more than expected).
Fields of papers citing papers by R.G.J. Kierkels
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by R.G.J. Kierkels. 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 R.G.J. Kierkels. The network helps show where R.G.J. Kierkels may publish in the future.
Co-authorship network of co-authors of R.G.J. Kierkels
This figure shows the co-authorship network connecting the top 25 collaborators of R.G.J. Kierkels. A scholar is included among the top collaborators of R.G.J. Kierkels 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 R.G.J. Kierkels. R.G.J. Kierkels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Kierkels, R.G.J., et al.. (2024). Multileaf collimator characterization and modeling for a 1.5 T MR-linac using static synchronous and asynchronous sweeping gaps. Physics in Medicine and Biology. 69(7). 75004–75004.
2.
Holmström, Mats, et al.. (2022). Automated Robust Planning for IMPT in Oropharyngeal Cancer Patients Using Machine Learning. International Journal of Radiation Oncology*Biology*Physics. 115(5). 1283–1290.
3.
Sijtsema, Nanna M., Veerle A.B. van den Bogaard, A. van der Schaaf, et al.. (2021). Validation of separate multi-atlases for auto segmentation of cardiac substructures in CT-scans acquired in deep inspiration breath hold and free breathing. Radiotherapy and Oncology. 163. 46–54.
4.
Steenbakkers, R.J.H.M., Monique A. Stokman, R.G.J. Kierkels, et al.. (2021). Parotid Gland Stem Cell Sparing Radiation Therapy for Patients With Head and Neck Cancer: A Double-Blind Randomized Controlled Trial. International Journal of Radiation Oncology*Biology*Physics. 112(2). 306–316.
5.
Wagenaar, Dirk, R.G.J. Kierkels, A. van der Schaaf, et al.. (2020). Head and neck IMPT probabilistic dose accumulation: Feasibility of a 2 mm setup uncertainty setting. Radiotherapy and Oncology. 154. 45–52.
6.
Tambaş, Makbule, Roel J.H.M. Steenbakkers, Hans Paul van der Laan, et al.. (2020). First experience with model-based selection of head and neck cancer patients for proton therapy. Radiotherapy and Oncology. 151. 206–213.
7.
Korevaar, Erik W., Steven Habraken, D. Scandurra, et al.. (2019). Practical robustness evaluation in radiotherapy – A photon and proton-proof alternative to PTV-based plan evaluation. Radiotherapy and Oncology. 141. 267–274.
8.
Wagenaar, Dirk, R.G.J. Kierkels, Jeffrey Free, et al.. (2019). Composite minimax robust optimization of VMAT improves target coverage and reduces non-target dose in head and neck cancer patients. Radiotherapy and Oncology. 136. 71–77.
9.
Bogaard, Veerle A.B. van den, Peter van Luijk, Yoran M. Hummel, et al.. (2019). Cardiac Function After Radiation Therapy for Breast Cancer. International Journal of Radiation Oncology*Biology*Physics. 104(2). 392–400.
10.
Kanayama, Naoyuki, R.G.J. Kierkels, A. van der Schaaf, et al.. (2018). External validation of a multifactorial normal tissue complication probability model for tube feeding dependence at 6 months after definitive radiotherapy for head and neck cancer. Radiotherapy and Oncology. 129(2). 403–408.
11.
Kierkels, R.G.J., Albin Fredriksson, Stefan Both, et al.. (2018). Automated Robust Proton Planning Using Dose-Volume Histogram-Based Mimicking of the Photon Reference Dose and Reducing Organ at Risk Dose Optimization. International Journal of Radiation Oncology*Biology*Physics. 103(1). 251–258.
12.
Kierkels, R.G.J., Artūrs Meijers, Martin O. Leach, et al.. (2017). Reproducibility of the lung anatomy under Active Breathing Coordinator control: Dosimetric consequences for scanned proton treatments.. Lirias (KU Leuven).
13.
Kierkels, R.G.J., Erik W. Korevaar, Johannes A. Langendijk, et al.. (2017). An automated, quantitative, and case-specific evaluation of deformable image registration in computed tomography images. Physics in Medicine and Biology. 63(4). 45026–45026.
14.
Brouwer, Charlotte L., Roel J.H.M. Steenbakkers, A. van der Schaaf, et al.. (2016). Selection of head and neck cancer patients for adaptive radiotherapy to decrease xerostomia. Radiotherapy and Oncology. 120(1). 36–40.
15.
Kierkels, R.G.J., et al.. (2016). Multivariable normal tissue complication probability model-based treatment plan optimization for grade 2–4 dysphagia and tube feeding dependence in head and neck radiotherapy. Radiotherapy and Oncology. 121(3). 374–380.
16.
Kierkels, R.G.J., Hendrik P. Bijl, Johannes A. Langendijk, et al.. (2015). Multicriteria optimization enables less experienced planners to efficiently produce high quality treatment plans in head and neck cancer radiotherapy. Radiation Oncology. 10(1). 87–87.
17.
Brouwer, Charlotte L., R.G.J. Kierkels, A.A. van ‘t Veld, Nanna M. Sijtsema, & H. Meertens. (2014). The effects of computed tomography image characteristics and knot spacing on the spatial accuracy of B-spline deformable image registration in the head and neck geometry. Radiation Oncology. 9(1). 169–169.
18.
Kierkels, R.G.J., Erik W. Korevaar, Roel J.H.M. Steenbakkers, et al.. (2014). Direct use of multivariable normal tissue complication probability models in treatment plan optimisation for individualised head and neck cancer radiotherapy produces clinically acceptable treatment plans. Radiotherapy and Oncology. 112(3). 430–436.
19.
Janssen, Marco H.M., Hugo J.W.L. Aerts, R.G.J. Kierkels, et al.. (2010). Tumor perfusion increases during hypofractionated short-course radiotherapy in rectal cancer: Sequential perfusion-CT findings. Radiotherapy and Oncology. 94(2). 156–160.
20.
Kierkels, R.G.J., Walter H. Backes, Marco H.M. Janssen, et al.. (2009). Comparison Between Perfusion Computed Tomography and Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Rectal Cancer. International Journal of Radiation Oncology*Biology*Physics. 77(2). 400–408.
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