Suzanne van Beek

643 citations
29 papers · 516 · h-index 12

Impact in

Papers in

Suzanne van Beek

29 papers receiving 504 citations

Peers

Suzanne van Beek
Comparison fields: 5 of 29
  • Radiation 452
  • Otorhinolaryngology 123
  • Radiology, Nuclear Medicine and Imaging 364
  • Pulmonary and Respiratory Medicine 237
  • Biomedical Engineering 84
Replace Syed Moinuddin with:
Syed Moinuddin United Kingdom
Rachel McCarroll United States
Simon van Kranen Netherlands
J Haimerl United States
Julie van der Veen Belgium
Kirsten E.I. Deurloo Netherlands
Mohamed Nassef Egypt
Monica W.K. Kan Hong Kong
D. Hoffmans Netherlands
Benjamin Rosen United States
Suzanne van Beek relative to Syed Moinuddin United Kingdom Syed Moinuddin's profile →
Citations per field
00.5×1.5×2.1×
Syed Moinuddin · 1×
Citations per year

Countries citing papers authored by Suzanne van Beek

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne van Beek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne van 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 Suzanne van Beek. The network helps show where Suzanne van Beek may publish in the future.

Co-authors

The 25 scholars most cited alongside Suzanne van Beek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Suzanne van Beek Line = papers co-authored together Suzanne van Beek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009140
2 201466
3 201043
4 201037
5 201332
6 201222
7 200722
8 200820
9 201918
10 201818
11 202216
12 201215
13 201810
14 202110
15 20208
16 20145
17 20145
18 20085
19 20185
20 20095

About Suzanne van Beek

Suzanne van Beek is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology, Pulmonary and Respiratory Medicine and Surgery, having authored 29 papers that have together received 516 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (23 papers), Head and Neck Cancer Studies (11 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Radiation Dose and Imaging (5 papers), Medical Imaging and Analysis (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Medical Imaging Techniques and Applications (4 papers) and Colorectal Cancer Surgical Treatments (3 papers). The work is most often cited by research in Radiation (452 citations), Otorhinolaryngology (123 citations), Radiology, Nuclear Medicine and Imaging (364 citations), Pulmonary and Respiratory Medicine (237 citations) and Biomedical Engineering (84 citations). Suzanne van Beek has collaborated with scholars based in Netherlands and United States. Frequent co-authors include Jan‐Jakob Sonke, C. Rasch, Simon van Kranen, Marcel van Herk, P. Remeijer, Olga Hamming‐Vrieze, J. Belderbos, Baukelien van Triest, Arash Navran and Abrahim Al‐Mamgani. Their work appears in journals such as Radiotherapy and Oncology, International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Practical Radiation Oncology and Medical dosimetry.

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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