S. Heukelom

1.2k total citations
35 papers, 945 citations indexed

About

S. Heukelom is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, S. Heukelom has authored 35 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiation, 22 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in S. Heukelom's work include Advanced Radiotherapy Techniques (25 papers), Radiation Dose and Imaging (16 papers) and Advanced X-ray and CT Imaging (7 papers). S. Heukelom is often cited by papers focused on Advanced Radiotherapy Techniques (25 papers), Radiation Dose and Imaging (16 papers) and Advanced X-ray and CT Imaging (7 papers). S. Heukelom collaborates with scholars based in Netherlands, United States and Spain. S. Heukelom's co-authors include J.H. Lanson, L.J. van Battum, Ben J. Mijnheer, B.J. Mijnheer, D. Hoffmans, Geertjan van Tienhoven, R. van der Laarse, J.L.M. Venselaar, H.J. van Kleffens and J.P. Cuijpers and has published in prestigious journals such as Clinical Cancer Research, International Journal of Radiation Oncology*Biology*Physics and Cell Reports.

In The Last Decade

S. Heukelom

34 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Heukelom Netherlands 16 798 547 490 117 73 35 945
A. Soriani Italy 16 630 0.8× 500 0.9× 416 0.8× 127 1.1× 54 0.7× 55 960
Y. Nagata Japan 16 245 0.3× 312 0.6× 280 0.6× 195 1.7× 15 0.2× 74 705
Jomar Frengen Norway 15 402 0.5× 322 0.6× 293 0.6× 158 1.4× 25 0.3× 23 662
David E. Mellenberg United States 10 425 0.5× 340 0.6× 354 0.7× 172 1.5× 24 0.3× 14 675
Justus Adamson United States 21 851 1.1× 769 1.4× 604 1.2× 227 1.9× 18 0.2× 81 1.1k
S Becker United States 11 312 0.4× 235 0.4× 165 0.3× 19 0.2× 17 0.2× 51 628
Lanchun Lu United States 11 156 0.2× 163 0.3× 176 0.4× 87 0.7× 13 0.2× 28 525
An‐Cheng Shiau Taiwan 15 218 0.3× 162 0.3× 157 0.3× 50 0.4× 6 0.1× 41 539
Anika Jahnke Germany 9 246 0.3× 190 0.3× 169 0.3× 56 0.5× 5 0.1× 17 475
Xu‐Wei Cai China 18 136 0.2× 527 1.0× 391 0.8× 73 0.6× 8 0.1× 50 897

Countries citing papers authored by S. Heukelom

Since Specialization
Citations

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

Fields of papers citing papers by S. Heukelom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Heukelom

This figure shows the co-authorship network connecting the top 25 collaborators of S. Heukelom. A scholar is included among the top collaborators of S. Heukelom 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 S. Heukelom. S. Heukelom 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.
Amos, Richard A., et al.. (2023). EFOMP policy statement 18: Medical physics education for the non-physics healthcare professions. Physica Medica. 111. 102602–102602.
2.
Lagerweij, Tonny, S. Heukelom, Phil W. Koken, et al.. (2022). Radio-sensitizing effect of MEK inhibition in glioblastoma in vitro and in vivo. Journal of Cancer Research and Clinical Oncology. 149(1). 297–305. 6 indexed citations
3.
Lagerweij, Tonny, et al.. (2020). Inhalation anesthesia and shielding devices to allow accurate preclinical irradiation of mice with clinical linac-based systems: Design and dosimetric characteristics. Clinical and Translational Radiation Oncology. 26. 92–97. 1 indexed citations
4.
Gils, Noortje van, Anna van Rhenen, Fedor Denkers, et al.. (2018). IGFBP7 Induces Differentiation and Loss of Survival of Human Acute Myeloid Leukemia Stem Cells without Affecting Normal Hematopoiesis. Cell Reports. 25(11). 3021–3035.e5. 16 indexed citations
5.
Hoffmans, D., et al.. (2018). Suitability of EBT3 GafChromic film for quality assurance in MR-guided radiotherapy at 0.35 T with and without real-time MR imaging. Physics in Medicine and Biology. 63(16). 165014–165014. 19 indexed citations
6.
Heukelom, S., et al.. (2018). An on-site dosimetry audit for high-energy electron beams. Physics and Imaging in Radiation Oncology. 5. 44–51. 8 indexed citations
7.
Battum, L.J. van, H. Huizenga, Rudolf M. Verdaasdonk, & S. Heukelom. (2015). How flatbed scanners upset accurate film dosimetry. Physics in Medicine and Biology. 61(2). 625–649. 53 indexed citations
8.
Idema, Sander, Martine L.M. Lamfers, Victor W. van Beusechem, et al.. (2007). AdΔ24 and the p53‐expressing variant AdΔ24‐p53 achieve potent anti‐tumor activity in glioma when combined with radiotherapy. The Journal of Gene Medicine. 9(12). 1046–1056. 24 indexed citations
9.
Koken, Phil W., S. Heukelom, & J.P. Cuijpers. (2003). On the practice of the clinical implementation of enhanced dynamic wedges. Medical dosimetry. 28(1). 13–19. 8 indexed citations
10.
Venselaar, Jack, et al.. (2000). Dependence of the tray transmission factor on collimator setting and source-surface distance. Medical Physics. 27(9). 2117–2123. 4 indexed citations
11.
Venselaar, Jack, et al.. (1999). Effect of electron contamination on scatter correction factors for photon beam dosimetry. Medical Physics. 26(10). 2099–2106. 18 indexed citations
12.
Laarse, R. van der, et al.. (1998). A three-Gaussian fit of phantom scatter correction data. Physics in Medicine and Biology. 43(3). 577–585. 4 indexed citations
13.
Venselaar, J.L.M., et al.. (1997). Is there a need for a revised table of equivalent square fields for the determination of phantom scatter correction factors?. Physics in Medicine and Biology. 42(12). 2369–2381. 22 indexed citations
14.
Heukelom, S., et al.. (1997). Comparison of parametrization methods of the collimator scatter correction factor for open rectangular fields of 6–25 MV photon beams. Radiotherapy and Oncology. 45(3). 235–243. 3 indexed citations
15.
Heukelom, S., J.H. Lanson, & B.J. Mijnheer. (1994). Wedge factor constituents of high-energy photon beams: head and phantom scatter dose components. Radiotherapy and Oncology. 32(1). 73–83. 30 indexed citations
16.
Heukelom, S., J.H. Lanson, & B.J. Mijnheer. (1994). Wedge factor constituents of high energy photon beams: field size and depth dependence. Radiotherapy and Oncology. 30(1). 66–73. 32 indexed citations
17.
Heukelom, S., J.H. Lanson, & Ben J. Mijnheer. (1992). In vivo dosimetry during pelvic treatment. Radiotherapy and Oncology. 25(2). 111–120. 50 indexed citations
18.
Heukelom, S., J.H. Lanson, & B.J. Mijnheer. (1991). Comparison of entrance and exit dose measurements using ionization chambers and silicon diodes. Physics in Medicine and Biology. 36(1). 47–59. 78 indexed citations
19.
Mijnheer, Ben J., S. Heukelom, J.H. Lanson, et al.. (1991). Should inhomogeneity corrections be applied during treatment planning of tangential breast irradiation?. Radiotherapy and Oncology. 22(4). 239–244. 14 indexed citations
20.

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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