Monique Maas

13.6k total citations · 2 hit papers
118 papers, 6.6k citations indexed

About

Monique Maas is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Monique Maas has authored 118 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Oncology, 78 papers in Radiology, Nuclear Medicine and Imaging and 40 papers in Surgery. Recurrent topics in Monique Maas's work include Colorectal Cancer Surgical Treatments (81 papers), Radiomics and Machine Learning in Medical Imaging (72 papers) and Colorectal Cancer Screening and Detection (43 papers). Monique Maas is often cited by papers focused on Colorectal Cancer Surgical Treatments (81 papers), Radiomics and Machine Learning in Medical Imaging (72 papers) and Colorectal Cancer Screening and Detection (43 papers). Monique Maas collaborates with scholars based in Netherlands, United States and Denmark. Monique Maas's co-authors include Geerard L. Beets, Doenja M. J. Lambregts, Patty J. Nelemans, Regina G. H. Beets‐Tan, Frans C. H. Bakers, Guido Lammering, Vincenzo Valentini, Jeroen W. A. Leijtens, Karin Haustermans and Luís Curvo‐Semedo and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Monique Maas

114 papers receiving 6.5k citations

Hit 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.

Long-term outcome in patients with a pathological complete response after chemoradiation for rectal cancer: a pooled analysis of individual patient data

2010 1.4k citations Monique Maas, Patty J. Nelemans et al. profile →
Wait-and-See Policy for Clinical Complete Responders After Chemoradiation for Rectal Cancer

2011 717 citations Monique Maas, Geerard L. Beets et al. Journal of Clinical Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Monique Maas Netherlands	38	5.3k	3.2k	3.0k	1.1k	414	118	6.6k
Doenja M. J. Lambregts Netherlands	43	4.4k 0.8×	2.5k 0.8×	3.6k 1.2×	1.0k 1.0×	552 1.3×	143	6.2k
Vincent Vandecaveye Belgium	38	1.5k 0.3×	1.4k 0.4×	2.7k 0.9×	831 0.8×	182 0.4×	138	5.1k
Jörg Tschmelitsch Austria	22	5.1k 0.9×	4.0k 1.3×	580 0.2×	1.1k 1.0×	125 0.3×	59	5.7k
Rodrigo Oliva Perez Brazil	41	6.2k 1.2×	4.9k 1.5×	862 0.3×	1.5k 1.4×	158 0.4×	153	7.0k
Priya Bhosale United States	37	2.5k 0.5×	1.9k 0.6×	1.2k 0.4×	1.5k 1.4×	306 0.7×	281	5.3k
Jeroen Buijsen Netherlands	26	1.8k 0.3×	1.3k 0.4×	1.2k 0.4×	836 0.8×	197 0.5×	69	3.0k
E. Hager Austria	5	4.2k 0.8×	3.2k 1.0×	486 0.2×	911 0.8×	102 0.2×	11	4.6k
Eric P. Tamm United States	38	3.9k 0.7×	2.2k 0.7×	1.8k 0.6×	2.1k 2.0×	1.0k 2.5×	144	6.1k
Ruben T. H. M. Larue Netherlands	12	920 0.2×	601 0.2×	4.0k 1.3×	1.6k 1.4×	1.1k 2.8×	14	4.6k
Garrett M. Nash United States	39	4.0k 0.8×	3.1k 1.0×	413 0.1×	1.1k 1.0×	77 0.2×	160	5.1k

Countries citing papers authored by Monique Maas

Since Specialization

Citations

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

Fields of papers citing papers by Monique Maas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monique Maas

This figure shows the co-authorship network connecting the top 25 collaborators of Monique Maas. A scholar is included among the top collaborators of Monique Maas 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 Monique Maas. Monique Maas 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

Lahaye, Max J., Monique Maas, Geerard L. Beets, et al.. (2025). Defining the tumor location in rectal cancer – Practice variations and impact on treatment decision making. European Journal of Surgical Oncology. 51(6). 109700–109700.

Grotenhuis, Brechtje A., Corrie A.M. Marijnen, Femke P. Peters, et al.. (2023). Validated Pretreatment Prediction Models for Response to Neoadjuvant Therapy in Patients with Rectal Cancer: A Systematic Review and Critical Appraisal. Cancers. 15(15). 3945–3945. 3 indexed citations

Bodalal, Zuhir, Leon C. ter Beek, José G. van den Berg, et al.. (2023). Radiomic signatures from T2W and DWI MRI are predictive of tumour hypoxia in colorectal liver metastases. Insights into Imaging. 14(1). 133–133. 10 indexed citations

Beets‐Tan, Regina G. H., Renaud Tissier, Max J. Lahaye, et al.. (2023). Outcomes and potential impact of a virtual hands-on training program on MRI staging confidence and performance in rectal cancer. European Radiology. 34(3). 1746–1754. 1 indexed citations

Lahaye, Max J., Niels F. M. Kok, Brechtje A. Grotenhuis, et al.. (2023). Whole‐body MRI with diffusion‐weighted imaging as an adjunct to¹⁸F‐fluorodeoxyglucose positron emission tomography and CT in patients with suspected recurrent colorectal cancer. Colorectal Disease. 26(2). 290–299. 1 indexed citations

Maas, Monique, et al.. (2022). Defining disease status in gastroenteropancreatic neuroendocrine tumors: Choi-criteria or RECIST?. Abdominal Radiology. 47(3). 1071–1081. 9 indexed citations

Koekkoek‐Doll, Petra K. de, Monique Maas, Wouter V. Vogel, et al.. (2021). Real-Time Ultrasound Image Fusion with FDG-PET/CT to Perform Fused Image-Guided Fine-Needle Aspiration in Neck Nodes: Feasibility and Diagnostic Value. American Journal of Neuroradiology. 42(3). 566–572. 7 indexed citations

Donker, Mila, Carmelo Sofia, Baukelien van Triest, et al.. (2020). Gross tumour volume delineation in anal cancer on T2-weighted and diffusion-weighted MRI – Reproducibility between radiologists and radiation oncologists and impact of reader experience level and DWI image quality. Radiotherapy and Oncology. 150. 81–88. 9 indexed citations

Voncken, Francine E.M., Doenja M. J. Lambregts, Monique Maas, et al.. (2020). Clinical response assessment on DW-MRI compared with FDG-PET/CT after neoadjuvant chemoradiotherapy in patients with oesophageal cancer. European Journal of Nuclear Medicine and Molecular Imaging. 48(1). 176–185. 9 indexed citations

10.

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

11.

Voncken, Francine E.M., Jolanda M. van Dieren, Doenja M. J. Lambregts, et al.. (2019). Diagnostic performance of MRI for assessment of response to neoadjuvant chemoradiotherapy in oesophageal cancer. British journal of surgery. 106(5). 596–605. 23 indexed citations

12.

Sande, Marit E. van der, Geerard L. Beets, B. Hupkens, et al.. (2018). Response assessment after (chemo)radiotherapy for rectal cancer: Why are we missing complete responses with MRI and endoscopy?. European Journal of Surgical Oncology. 45(6). 1011–1017. 43 indexed citations

13.

Sande, Marit E. van der, B. Hupkens, Maaike Berbée, et al.. (2018). Impact of radiotherapy on anorectal function in patients with rectal cancer following a watch and wait programme. Radiotherapy and Oncology. 132. 79–84. 37 indexed citations

14.

Lambregts, Doenja M. J., Andrea Delli Pizzi, Max J. Lahaye, et al.. (2018). A Pattern-Based Approach Combining Tumor Morphology on MRI With Distinct Signal Patterns on Diffusion-Weighted Imaging to Assess Response of Rectal Tumors After Chemoradiotherapy. Diseases of the Colon & Rectum. 61(3). 328–337. 55 indexed citations

15.

Beets‐Tan, Regina G. H., et al.. (2017). Value of DCE-MRI for staging and response evaluation in rectal cancer: A systematic review. European Journal of Radiology. 95. 155–168. 67 indexed citations

16.

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

17.

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

18.

Lambregts, Doenja M. J., Max J. Lahaye, Luc A. Heijnen, et al.. (2015). MRI and diffusion-weighted MRI to diagnose a local tumour regrowth during long-term follow-up of rectal cancer patients treated with organ preservation after chemoradiotherapy. European Radiology. 26(7). 2118–2125. 49 indexed citations

19.

Rao, Shengxiang, Doenja M. J. Lambregts, R. S. Schnerr, et al.. (2015). CT texture analysis in colorectal liver metastases: A better way than size and volume measurements to assess response to chemotherapy?. United European Gastroenterology Journal. 4(2). 257–263. 104 indexed citations

20.

Maas, Monique, Geerard L. Beets, Doenja M. J. Lambregts, et al.. (2011). Wait-and-See Policy for Clinical Complete Responders After Chemoradiation for Rectal Cancer. Journal of Clinical Oncology. 29(35). 4633–4640. 717 indexed citations breakdown →

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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