Regina G. H. Beets‐Tan

23.8k total citations · 5 hit papers
246 papers, 11.8k citations indexed

About

Regina G. H. Beets‐Tan is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Surgery. According to data from OpenAlex, Regina G. H. Beets‐Tan has authored 246 papers receiving a total of 11.8k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Radiology, Nuclear Medicine and Imaging, 137 papers in Oncology and 79 papers in Surgery. Recurrent topics in Regina G. H. Beets‐Tan's work include Radiomics and Machine Learning in Medical Imaging (118 papers), Colorectal Cancer Surgical Treatments (103 papers) and MRI in cancer diagnosis (50 papers). Regina G. H. Beets‐Tan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (118 papers), Colorectal Cancer Surgical Treatments (103 papers) and MRI in cancer diagnosis (50 papers). Regina G. H. Beets‐Tan collaborates with scholars based in Netherlands, United States and Denmark. Regina G. H. Beets‐Tan's co-authors include Hugo J.W.L. Aerts, Joost J. M. van Griethuysen, Chintan Parmar, Steve Pieper, Andriy Fedorov, Vivek Narayan, Nicole Aucoin, Ahmed Hosny, Jean‐Christophe Fillion‐Robin and Doenja M. J. Lambregts and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Regina G. H. Beets‐Tan

236 papers receiving 11.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Computational Radiomics System to Decode the Radiographic Phenotype

2017 4.2k citations Regina G. H. Beets‐Tan, Hugo J.W.L. Aerts et al. profile →
Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers

2019 372 citations Stefano Trebeschi, Andrea Delli Pizzi et al. profile →
LBA7 Neoadjuvant immune checkpoint inhibition in locally advanced MMR-deficient colon cancer: The NICHE-2 study

2022 129 citations Myriam Chalabi, Geerard L. Beets et al. profile →
Neoadjuvant nivolumab and relatlimab in locally advanced MMR-deficient colon cancer: a phase 2 trial

2024 40 citations Regina G. H. Beets‐Tan, Myriam Chalabi et al. profile →
Localised rectal cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up

2025 21 citations Dirk Arnold, Regina G. H. Beets‐Tan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Regina G. H. Beets‐Tan Netherlands	50	7.3k	4.5k	3.2k	3.1k	1.7k	246	11.8k
Vicky Goh United Kingdom	55	7.0k 1.0×	2.5k 0.6×	2.3k 0.7×	3.5k 1.1×	1.7k 1.0×	244	10.7k
Zaiyi Liu China	44	6.5k 0.9×	1.8k 0.4×	1.0k 0.3×	2.6k 0.8×	1.2k 0.7×	265	8.6k
Clarisse Dromain France	56	2.5k 0.3×	3.1k 0.7×	2.1k 0.7×	2.6k 0.8×	928 0.5×	189	8.9k
Ralph T. H. Leijenaar Netherlands	38	15.2k 2.1×	3.0k 0.7×	1.7k 0.5×	6.1k 1.9×	4.3k 2.5×	84	16.8k
Chintan Parmar United States	26	13.5k 1.8×	2.4k 0.5×	1.3k 0.4×	5.4k 1.7×	3.9k 2.2×	36	15.8k
Sara Carvalho Netherlands	17	8.9k 1.2×	1.7k 0.4×	955 0.3×	3.5k 1.1×	2.5k 1.4×	37	9.9k
Frank Hoebers Netherlands	37	4.8k 0.7×	1.5k 0.3×	1.2k 0.4×	2.7k 0.9×	1.2k 0.7×	147	7.5k
Changhong Liang China	41	5.5k 0.7×	1.4k 0.3×	983 0.3×	2.0k 0.6×	1.1k 0.7×	191	7.3k
Balaji Ganeshan United Kingdom	41	6.0k 0.8×	1.8k 0.4×	956 0.3×	2.5k 0.8×	1.3k 0.7×	115	7.2k
Otto S. Hoekstra Netherlands	70	10.8k 1.5×	6.0k 1.3×	3.0k 0.9×	7.0k 2.2×	1.3k 0.8×	373	20.2k

Countries citing papers authored by Regina G. H. Beets‐Tan

Since Specialization

Citations

This map shows the geographic impact of Regina G. H. Beets‐Tan'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 Regina G. H. Beets‐Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Regina G. H. Beets‐Tan more than expected).

Fields of papers citing papers by Regina G. H. Beets‐Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Regina G. H. Beets‐Tan. 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 Regina G. H. Beets‐Tan. The network helps show where Regina G. H. Beets‐Tan may publish in the future.

Co-authorship network of co-authors of Regina G. H. Beets‐Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Regina G. H. Beets‐Tan. A scholar is included among the top collaborators of Regina G. H. Beets‐Tan 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 Regina G. H. Beets‐Tan. Regina G. H. Beets‐Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

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.

Tan, Tao, Tianyu Zhang, Anna D’Angelo, et al.. (2025). Predicting short- to long-term breast cancer risk from longitudinal mammographic screening history. npj Breast Cancer. 11(1). 118–118. 1 indexed citations

Ahmadian, Milad, Zuhir Bodalal, Conchita Vens, et al.. (2024). Overcoming data scarcity in radiomics/radiogenomics using synthetic radiomic features. Computers in Biology and Medicine. 174. 108389–108389. 10 indexed citations

Custers, Petra A., Geerard L. Beets, Simon P. Bach, et al.. (2024). An International Expert-Based Consensus on the Definition of a Clinical Near-Complete Response After Neoadjuvant (Chemo)radiotherapy for Rectal Cancer. Diseases of the Colon & Rectum. 67(6). 782–795. 10 indexed citations

Bodalal, Zuhir, et al.. (2024). Generalizability, robustness, and correction bias of segmentations of thoracic organs at risk in CT images. European Radiology. 35(7). 4335–4346.

Horsthuis, Karin, Regina G. H. Beets‐Tan, Susan van Dieren, et al.. (2024). Value of Size and Malignant Features of Lateral Lymph Nodes in Risk Stratification at Lateral Local Recurrence of Rectal Cancer: A National Cohort Study. Journal of the National Comprehensive Cancer Network. 22(1). 17–25. 5 indexed citations

Lange, M., Pétur Snæbjörnsson, Regina G. H. Beets‐Tan, et al.. (2024). Incidence and Outcomes of Patients With Mismatch Repair Deficient Rectal Cancer Operated in 2016: A Nationwide Cohort From The Netherlands. Clinical Colorectal Cancer. 24(2). 188–197.e1. 5 indexed citations

Boellaard, Thierry N., Cornedine J. de Gooijer, Eun Kyoung Hong, et al.. (2023). Artificial Intelligence–based Quantification of Pleural Plaque Volume and Association With Lung Function in Asbestos-exposed Patients. Journal of Thoracic Imaging. 39(3). 165–172. 1 indexed citations

Horsthuis, Karin, et al.. (2023). Prognostic Implications of Lateral Lymph Nodes in Rectal Cancer: A Population-Based Cross-sectional Study With Standardized Radiological Evaluation After Dedicated Training. Diseases of the Colon & Rectum. 67(1). 42–53. 14 indexed citations

10.

Koekkoek‐Doll, Petra K. de, Laura A. Smit, Wouter V. Vogel, et al.. (2022). ADC Values of Cytologically Benign and Cytologically Malignant 18 F-FDG PET-Positive Lymph Nodes of Head and Neck Squamous Cell Carcinoma. Cancers. 14(16). 4019–4019.

11.

Haak, Hester E., Doenja M. J. Lambregts, Regina G. H. Beets‐Tan, et al.. (2021). The evaluation of follow‐up strategies of watch‐and‐wait patients with a complete response after neoadjuvant therapy in rectal cancer. Colorectal Disease. 23(7). 1785–1792. 12 indexed citations

12.

Brekel, Michiel W. M. van den, Abrahim Al‐Mamgani, Hugo J.W.L. Aerts, et al.. (2021). Improved outcome prediction of oropharyngeal cancer by combining clinical and MRI features in machine learning models. European Journal of Radiology. 139. 109701–109701. 23 indexed citations

13.

Wesseling, Jelle, Sabine C. Linn, Regina G. H. Beets‐Tan, et al.. (2021). Prognostic value of breast MRI characteristics before and during neoadjuvant endocrine therapy in patients with ER+/HER2- breast cancer. British Journal of Radiology. 94(1123). 20201125–20201125. 1 indexed citations

14.

Horsthuis, Karin, et al.. (2021). Evaluation of the implementation of the sigmoid take‐off landmark in the Netherlands. Colorectal Disease. 24(3). 292–307. 8 indexed citations

15.

Hooft, Jeanin E. van, Joyce Veld, Dirk Arnold, et al.. (2020). Self-expandable metal stents for obstructing colonic and extracolonic cancer: European Society of Gastrointestinal Endoscopy (ESGE) Guideline – Update 2020. Endoscopy. 52(5). 389–407. 164 indexed citations

16.

Nowee, Marlies E., et al.. (2020). Pre-treatment prediction of early response to chemoradiotherapy by quantitative analysis of baseline staging FDG-PET/CT and MRI in locally advanced cervical cancer. Acta Radiologica. 62(7). 940–948. 5 indexed citations

17.

Hupkens, B., Monique Maas, Milou H. Martens, et al.. (2017). Organ Preservation in Rectal Cancer After Chemoradiation: Should We Extend the Observation Period in Patients with a Clinical Near-Complete Response?. Annals of Surgical Oncology. 25(1). 197–203. 89 indexed citations

18.

Al‐Najami, Issam, Max J. Lahaye, Regina G. H. Beets‐Tan, & Gunnar Baatrup. (2017). Dual-energy CT can detect malignant lymph nodes in rectal cancer. European Journal of Radiology. 90. 81–88. 30 indexed citations

19.

Martens, Milou H., Monique Maas, Luc A. Heijnen, et al.. (2016). Long-term Outcome of an Organ Preservation Program After Neoadjuvant Treatment for Rectal Cancer. JNCI Journal of the National Cancer Institute. 108(12). djw171–djw171. 255 indexed citations

20.

Lambregts, Doenja M. J. & Regina G. H. Beets‐Tan. (2013). Optimal imaging staging of rectal cancer. European Journal of Cancer Supplements. 11(2). 38–44. 9 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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