D. Scandurra

522 total citations
20 papers, 368 citations indexed

About

D. Scandurra is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, D. Scandurra has authored 20 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 13 papers in Radiation and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in D. Scandurra's work include Advanced Radiotherapy Techniques (13 papers), Radiation Therapy and Dosimetry (12 papers) and Medical Imaging Techniques and Applications (4 papers). D. Scandurra is often cited by papers focused on Advanced Radiotherapy Techniques (13 papers), Radiation Therapy and Dosimetry (12 papers) and Medical Imaging Techniques and Applications (4 papers). D. Scandurra collaborates with scholars based in Netherlands, Sweden and Australia. D. Scandurra's co-authors include Johannes A. Langendijk, Erik W. Korevaar, R.G.J. Kierkels, Stefan Both, R.J.H.M. Steenbakkers, Steven Habraken, Mirko Unipan, Jaap Zindler, Mischa S. Hoogeman and Antony Lomax and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Optics Express and Physics in Medicine and Biology.

In The Last Decade

D. Scandurra

20 papers receiving 368 citations

Peers

D. Scandurra
Kaley Woods United States
Patrick M. Hill United States
C Peeler United States
Jatinder Saini United States
A. Roggio Italy
Mirko Unipan Netherlands
Dmitri Nichiporov United States
Kaley Woods United States
D. Scandurra
Citations per year, relative to D. Scandurra D. Scandurra (= 1×) peers Kaley Woods

Countries citing papers authored by D. Scandurra

Since Specialization
Citations

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

Fields of papers citing papers by D. Scandurra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Scandurra

This figure shows the co-authorship network connecting the top 25 collaborators of D. Scandurra. A scholar is included among the top collaborators of D. Scandurra 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 D. Scandurra. D. Scandurra 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.
Schaaf, A. van der, D. Scandurra, Erik Engwall, et al.. (2025). Potential toxicity benefit and inter-fraction robustness of proton arc therapy compared to IMPT and VMAT for nasopharyngeal cancer patients. Physics in Medicine and Biology. 70(10). 105007–105007. 2 indexed citations
2.
Wagenaar, Dirk, Steven Habraken, Ilaria Rinaldi, et al.. (2024). Evaluating and reporting LET and RBE-weighted dose in proton therapy for glioma – The Dutch approach. Radiotherapy and Oncology. 202. 110653–110653. 2 indexed citations
3.
4.
Korevaar, Erik W., et al.. (2023). Proton arc therapy increases the benefit of proton therapy for oropharyngeal cancer patients in the model based clinic. Radiotherapy and Oncology. 184. 109670–109670. 24 indexed citations
5.
Scandurra, D., Tineke W.H. Meijer, Jeffrey Free, et al.. (2022). Evaluation of robustly optimised intensity modulated proton therapy for nasopharyngeal carcinoma. Radiotherapy and Oncology. 168. 221–228. 17 indexed citations
6.
Tambaş, Makbule, Hans Paul van der Laan, Johanna G.M. van den Hoek, et al.. (2021). Development of advanced preselection tools to reduce redundant plan comparisons in model-based selection of head and neck cancer patients for proton therapy. Radiotherapy and Oncology. 160. 61–68. 5 indexed citations
7.
Langendijk, Johannes A., D. Scandurra, Nanna M. Sijtsema, et al.. (2021). A novel semi auto-segmentation method for accurate dose and NTCP evaluation in adaptive head and neck radiotherapy. Radiotherapy and Oncology. 164. 167–174. 13 indexed citations
8.
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. 31 indexed citations
9.
Weide, Hiska L. van der, Miranda C.A. Kramer, D. Scandurra, et al.. (2020). Proton therapy for selected low grade glioma patients in the Netherlands. Radiotherapy and Oncology. 154. 283–290. 27 indexed citations
10.
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. 129 indexed citations
11.
Tambaş, Makbule, Hans Paul van der Laan, A. Hoek, et al.. (2019). Preselection Tool for the Model-Based Selection of Head and Neck Cancer Patients for Proton Therapy. International Journal of Radiation Oncology*Biology*Physics. 105(1). E384–E384. 3 indexed citations
12.
Wagenaar, Dirk, R.G.J. Kierkels, A. van der Schaaf, et al.. (2019). Robustness Evaluation Using Dose Accumulation in Head and Neck IMPT. International Journal of Radiation Oncology*Biology*Physics. 105(1). E744–E745. 3 indexed citations
13.
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. 22 indexed citations
14.
Kierkels, R.G.J., Albin Fredriksson, Stefan Both, et al.. (2018). PV-0201: Automated proton planning by mimicking the reference photon dose for patient selection. Radiotherapy and Oncology. 127. S109–S110. 1 indexed citations
15.
Scandurra, D.. (2018). SP-0341: Advanced selection procedures for proton therapy in head and neck cancer patients. Radiotherapy and Oncology. 127. S179–S180. 1 indexed citations
16.
Scandurra, D., Francesca Albertini, Robert Van Der Meer, et al.. (2016). Assessing the quality of proton PBS treatment delivery using machine log files: comprehensive analysis of clinical treatments delivered at PSI Gantry 2. Physics in Medicine and Biology. 61(3). 1171–1181. 38 indexed citations
17.
Trnková, Petra, Anne Gasnier, Francesca Albertini, et al.. (2015). Initial Experience With a New Generation of Pencil Beam Scanning Gantry for the Treatment of Cancer Patients. International Journal of Radiation Oncology*Biology*Physics. 93(3). E576–E577. 1 indexed citations
18.
Scandurra, D., et al.. (2014). A dosimetry technique for measuring kilovoltage cone‐beam CT dose on a linear accelerator using radiotherapy equipment. Journal of Applied Clinical Medical Physics. 15(4). 80–92. 6 indexed citations
19.
Michie, Andrew, et al.. (2007). Spun elliptically birefringent photonic crystal fibre for current sensing. Measurement Science and Technology. 18(10). 3070–3074. 10 indexed citations
20.
Michie, Andrew, John Canning, I.M. Bassett, et al.. (2007). Spun elliptically birefringent photonic crystal fibre. Optics Express. 15(4). 1811–1811. 29 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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