R.G.H. Beets-Tan

1.5k total citations · 1 hit paper
26 papers, 926 citations indexed

About

R.G.H. Beets-Tan is a scholar working on Surgery, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, R.G.H. Beets-Tan has authored 26 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 14 papers in Oncology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in R.G.H. Beets-Tan's work include Colorectal Cancer Surgical Treatments (10 papers), Colorectal and Anal Carcinomas (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). R.G.H. Beets-Tan is often cited by papers focused on Colorectal Cancer Surgical Treatments (10 papers), Colorectal and Anal Carcinomas (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). R.G.H. Beets-Tan collaborates with scholars based in Netherlands, Spain and Denmark. R.G.H. Beets-Tan's co-authors include J. van Engelshoven, A. G. H. Kessels, Hester van Boven, Adriaan de Bruı̈ne, Geerard L. Beets, Jos M. A. van Engelshoven, A. C. W. Borstlap, M.F. von Meyenfeldt, Doenja M. J. Lambregts and T. Lettinga and has published in prestigious journals such as The Lancet, Annals of Oncology and European Journal of Cancer.

In The Last Decade

R.G.H. Beets-Tan

25 papers receiving 903 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.

Accuracy of magnetic resonance imaging in prediction of tumour-free resection margin in rectal cancer surgery

2001 577 citations R.G.H. Beets-Tan, A. G. H. Kessels et al. The Lancet profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R.G.H. Beets-Tan Netherlands	9	731	571	308	154	57	26	926
Raphaëla C. Dresen Netherlands	15	678 0.9×	565 1.0×	312 1.0×	176 1.1×	41 0.7×	35	986
Shigeo Toda Japan	10	646 0.9×	528 0.9×	117 0.4×	185 1.2×	17 0.3×	38	746
I. Swift United Kingdom	12	567 0.8×	316 0.6×	237 0.8×	164 1.1×	12 0.2×	19	670
Masato Tanikake Japan	13	193 0.3×	291 0.5×	470 1.5×	156 1.0×	31 0.5×	25	802
Kirsti Dean Finland	8	205 0.3×	193 0.3×	210 0.7×	125 0.8×	51 0.9×	14	557
Patricio B. Lynn United States	14	1.2k 1.6×	1.0k 1.8×	151 0.5×	240 1.6×	16 0.3×	35	1.3k
Rolf Doerr United States	10	207 0.3×	265 0.5×	317 1.0×	119 0.8×	26 0.5×	15	671
Lee Malcomson United Kingdom	8	512 0.7×	431 0.8×	114 0.4×	146 0.9×	42 0.7×	16	638
Laurence F. Yee United States	9	183 0.3×	400 0.7×	107 0.3×	195 1.3×	74 1.3×	14	587
Chang Hwan Cho South Korea	17	1.1k 1.6×	1.1k 1.9×	54 0.2×	309 2.0×	12 0.2×	34	1.4k

Countries citing papers authored by R.G.H. Beets-Tan

Since Specialization

Citations

This map shows the geographic impact of R.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 R.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 R.G.H. Beets-Tan more than expected).

Fields of papers citing papers by R.G.H. Beets-Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fijneman, Remond J.A., Marta López‐Yurda, Doenja M. J. Lambregts, et al.. (2024). Staging peritoneal metastases in colorectal cancer: The correlation between MRI, surgical and histopathological peritoneal cancer index. European Journal of Surgical Oncology. 50(12). 108611–108611.

Verschoor, Y.L., Sara Balduzzi, Cecile Grootscholten, et al.. (2024). 503O Neoadjuvant nivolumab (nivo) plus relatlimab (rela) in MMR-deficient colon cancer: Results of the NICHE-3 study. Annals of Oncology. 35. S428–S429. 1 indexed citations

Verschoor, Y.L., Arend G. J. Aalbers, Doenja M. J. Lambregts, et al.. (2024). 247P Radiotherapy (RT), atezolizumab (atezo) and bevacizumab (bev) to increase organ preservation in rectal cancer: The TARZAN study. Annals of Oncology. 35. S106–S106. 2 indexed citations

Samiei, Sanaz, Cristina Mitea, Marc B. I. Lobbes, et al.. (2022). Axillary lymph node response to neoadjuvant systemic therapy with dedicated axillary hybrid 18F-FDG PET/MRI in clinically node-positive breast cancer patients: a pilot study. Clinical Radiology. 77(10). e732–e740. 4 indexed citations

López‐Yurda, Marta, Koert F.D. Kuhlmann, Joris I. Erdmann, et al.. (2021). Predictive Factors for Hypertrophy of the Future Liver Remnant After Portal Vein Embolization: A Systematic Review. CardioVascular and Interventional Radiology. 44(9). 1355–1366. 11 indexed citations

Gómez, Fernando M., Farshad Imani, Elisabeth G. Klompenhouwer, et al.. (2021). Predicting local tumour progression after ablation for colorectal liver metastases: CT-based radiomics of the ablation zone. European Journal of Radiology. 141. 109773–109773. 24 indexed citations

Engbersen, Maurits P., et al.. (2021). Seeing the whole picture: Added value of MRI for extraperitoneal findings in CRS-HIPEC candidates. European Journal of Surgical Oncology. 48(2). 462–469. 8 indexed citations

Nijnatten, Thiemo J. A. van, M. Moossdorff, Linda de Munck, et al.. (2017). TNM classification and the need for revision of pN3a breast cancer. European Journal of Cancer. 79. 23–30. 4 indexed citations

Beets-Tan, R.G.H., R. S. Schnerr, Monique Maas, et al.. (2017). Whole-volume vs. segmental CT texture analysis of the liver to assess metachronous colorectal liver metastases. Abdominal Radiology. 42(11). 2639–2645. 10 indexed citations

10.

Orsini, R.G., Theo Wiggers, Marco C. DeRuiter, et al.. (2013). The modern anatomical surgical approach to localised rectal cancer. European Journal of Cancer Supplements. 11(2). 60–71. 4 indexed citations

11.

Notten, Kim, Mirjam Weemhoff, Karlijn J. Schweitzer, et al.. (2012). OC10.01: Diagnosing levator defects on 3D transperineal ultrasound compared to MR imaging. Ultrasound in Obstetrics and Gynecology. 40(S1). 19–20. 5 indexed citations

12.

Dresen, Raphaëla C., et al.. (2008). Linitis plastica of the rectum secondary to bladder carcinoma: a report of two cases and its MR features. British Journal of Radiology. 81(970). e249–e251. 7 indexed citations

13.

Beets-Tan, R.G.H., T. Lettinga, & Geerard L. Beets. (2005). Pre-operative imaging of rectal cancer and its impact on surgical performance and treatment outcome. European Journal of Surgical Oncology. 31(6). 681–688. 26 indexed citations

14.

Beets-Tan, R.G.H., et al.. (2004). Multislice spiral CT for the prediction of an involved circumferential resection margin in primary rectal cancer. Data Archiving and Networked Services (DANS). 1 indexed citations

15.

Lammering, Guido, Dirk De Ruysscher, Marinus van Kroonenburgh, et al.. (2004). First report on the use of a dedicated combined CT-PET simulator in rectal cancer patients. Radiotherapy and Oncology. 73. 3 indexed citations

16.

Beets-Tan, R.G.H., et al.. (2004). Conventional CT for the prediction of an involved circumferential resection margin in primary rectal cancer. Radiotherapy and Oncology. 73. 3 indexed citations

17.

Lussanet, Quido G. de, et al.. (2004). Dynamic contrast-enhanced magnetic resonance imaging at 1.5 Tesla with gadopentetate dimeglumine to assess the angiostatic effects of anginex in mice. European Journal of Cancer. 40(8). 1262–1268. 28 indexed citations

18.

Beets-Tan, R.G.H., Roy F. A. Vliegen, & Geerard L. Beets. (2004). Magnetic Resonance Imaging of Rectal Cancer: What Radiation Oncologists Need to Know. Frontiers of radiation therapy and oncology. 38. 1–12. 5 indexed citations

19.

Beets-Tan, R.G.H., et al.. (2001). Accuracy of magnetic resonance imaging in prediction of tumour-free resection margin in rectal cancer surgery. The Lancet. 357(9255). 497–504. 577 indexed citations breakdown →

20.

Beets-Tan, R.G.H., et al.. (2000). Preoperative assessment of local tumor extent in advanced rectal cancer: CT or high-resolution MRI?. Abdominal Imaging. 25(5). 533–541. 95 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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