Willem Vreuls

1.9k total citations
37 papers, 817 citations indexed

About

Willem Vreuls is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Oncology. According to data from OpenAlex, Willem Vreuls has authored 37 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 13 papers in Cancer Research and 11 papers in Oncology. Recurrent topics in Willem Vreuls's work include Breast Cancer Treatment Studies (13 papers), Prostate Cancer Diagnosis and Treatment (11 papers) and Breast Lesions and Carcinomas (9 papers). Willem Vreuls is often cited by papers focused on Breast Cancer Treatment Studies (13 papers), Prostate Cancer Diagnosis and Treatment (11 papers) and Breast Lesions and Carcinomas (9 papers). Willem Vreuls collaborates with scholars based in Netherlands, Sweden and United States. Willem Vreuls's co-authors include Diederik M. Somford, Jelle O. Barentsz, Leonie Exterkate, Olivier Wegelin, Peter C. de Bruin, J. Alain Kummer, Harm H.E. van Melick, J.L.H. Ruud Bosch, Marloes van der Leest and Peter Bult and has published in prestigious journals such as The Journal of Urology, British Journal of Cancer and Annals of Oncology.

In The Last Decade

Willem Vreuls

33 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Willem Vreuls Netherlands 13 499 242 193 100 94 37 817
Stuart S. Kaplan United States 17 314 0.6× 235 1.0× 115 0.6× 255 2.5× 140 1.5× 35 1.3k
Kelsey L. Pomykala Germany 13 350 0.7× 317 1.3× 39 0.2× 138 1.4× 75 0.8× 42 772
Jana Ivanidze United States 18 161 0.3× 253 1.0× 82 0.4× 96 1.0× 48 0.5× 80 1.1k
Liran Domachevsky Israel 18 414 0.8× 294 1.2× 47 0.2× 154 1.5× 58 0.6× 71 828
Pertti Ryymin Finland 16 167 0.3× 429 1.8× 73 0.4× 25 0.3× 20 0.2× 32 829
Robertus H.C. Bisschops Netherlands 9 320 0.6× 455 1.9× 35 0.2× 195 1.9× 115 1.2× 11 939
Kotaro Yoshida Japan 20 232 0.5× 288 1.2× 357 1.8× 227 2.3× 69 0.7× 89 1.4k
David Kaul Germany 19 421 0.8× 293 1.2× 50 0.3× 162 1.6× 132 1.4× 102 1.3k
Tsuneo Tamaki Japan 16 295 0.6× 370 1.5× 45 0.2× 97 1.0× 40 0.4× 42 765

Countries citing papers authored by Willem Vreuls

Since Specialization
Citations

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

Fields of papers citing papers by Willem Vreuls

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Willem Vreuls

This figure shows the co-authorship network connecting the top 25 collaborators of Willem Vreuls. A scholar is included among the top collaborators of Willem Vreuls 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 Willem Vreuls. Willem Vreuls 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.
Al‐Hammouri, Tarek, Larissa Mendes, Eoin Dinneen, et al.. (2024). Accuracy of the LaserSAFE technique for detecting positive surgical margins during robot‐assisted radical prostatectomy: blind assessment and inter‐rater agreement analysis. Histopathology. 86(3). 433–440. 3 indexed citations
2.
3.
Waal, Daniëlle van der, Willem Vreuls, Eric Tetteroo, et al.. (2023). The dilemma of recalling well-circumscribed masses in a screening population: A narrative literature review and exploration of Dutch screening practice. The Breast. 69. 431–440. 3 indexed citations
5.
Wang, Yuwei, Annegien Broeks, Daniele Giardiello, et al.. (2023). External validation and clinical utility assessment of PREDICT breast cancer prognostic model in young, systemic treatment-naïve women with node-negative breast cancer. European Journal of Cancer. 195. 113401–113401.
6.
Balkenhol, Maschenka, Roberto Salgado, Mark E. Sherman, et al.. (2022). Deep learning for fully-automated nuclear pleomorphism scoring in breast cancer. npj Breast Cancer. 8(1). 120–120. 12 indexed citations
8.
9.
Luiten, Ernest J. T., Maurice J.C. van der Sangen, Willem Vreuls, et al.. (2021). Patterns of treatment and outcome of ductal carcinoma in situ in the Netherlands. Breast Cancer Research and Treatment. 187(1). 245–254. 8 indexed citations
10.
Strobbe, Luc J. A., Peter Bult, Margrethe Schlooz-Vries, et al.. (2020). Minimally invasive breast cancer excision using the breast lesion excision system under ultrasound guidance. Breast Cancer Research and Treatment. 184(1). 37–43. 4 indexed citations
11.
Caballo, Marco, Peter Bult, Willem Vreuls, et al.. (2020). Reliability of MRI tumor size measurements for minimal invasive treatment selection in small breast cancers. European Journal of Surgical Oncology. 46(8). 1463–1470. 10 indexed citations
12.
Balkenhol, Maschenka, David Tellez, Willem Vreuls, et al.. (2019). Deep learning assisted mitotic counting for breast cancer. Laboratory Investigation. 99(11). 1596–1606. 73 indexed citations
13.
Balkenhol, Maschenka, Peter Bult, David Tellez, et al.. (2019). Deep learning and manual assessment show that the absolute mitotic count does not contain prognostic information in triple negative breast cancer. Cellular Oncology. 42(4). 555–569. 17 indexed citations
14.
Exterkate, Leonie, Olivier Wegelin, Jelle O. Barentsz, et al.. (2019). Is There Still a Need for Repeated Systematic Biopsies in Patients with Previous Negative Biopsies in the Era of Magnetic Resonance Imaging-targeted Biopsies of the Prostate?. European Urology Oncology. 3(2). 216–223. 47 indexed citations
15.
Wegelin, Olivier, Leonie Exterkate, Marloes van der Leest, et al.. (2018). The FUTURE Trial: A Multicenter Randomised Controlled Trial on Target Biopsy Techniques Based on Magnetic Resonance Imaging in the Diagnosis of Prostate Cancer in Patients with Prior Negative Biopsies. European Urology. 75(4). 582–590. 192 indexed citations
16.
Groot, Theun de, Ferry Hagen, Willem Vreuls, et al.. (2018). Genotyping of Aspergillus fumigatus in Formalin-Fixed Paraffin-Embedded Tissues and Serum Samples From Patients With Invasive Aspergillosis. Frontiers in Cellular and Infection Microbiology. 8. 377–377. 6 indexed citations
17.
Somford, Diederik M., et al.. (2013). Incremental value of transition zone and midline apical biopsy at baseline TRUS-guided biopsy for prostate cancer detection. World Journal of Urology. 32(2). 461–467. 2 indexed citations
18.
Schwartz, Matthijs P., et al.. (2006). Two siblings with lichen planus and squamous cell carcinoma of the oesophagus. European Journal of Gastroenterology & Hepatology. 18(10). 1111–1115. 31 indexed citations
19.
Loidl, César Fabián, Antonio W. D. Gavilanes, Willem Vreuls, et al.. (2000). Effects of hypothermia and gender on survival and behavior after perinatal asphyxia in rats. Physiology & Behavior. 68(3). 263–269. 51 indexed citations
20.
Berg, Wilma D. J. van de, Arjan Blokland, A. Claudio Cuello, et al.. (2000). Perinatal asphyxia results in changes in presynaptic bouton number in striatum and cerebral cortex—a stereological and behavioral analysis. Journal of Chemical Neuroanatomy. 20(1). 71–82. 43 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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