Jan Verbeek

2.2k total citations · 1 hit paper
34 papers, 1.4k citations indexed

About

Jan Verbeek is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Jan Verbeek has authored 34 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 9 papers in Oncology and 6 papers in Surgery. Recurrent topics in Jan Verbeek's work include Prostate Cancer Diagnosis and Treatment (19 papers), Prostate Cancer Treatment and Research (18 papers) and Colorectal Cancer Screening and Detection (5 papers). Jan Verbeek is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (19 papers), Prostate Cancer Treatment and Research (18 papers) and Colorectal Cancer Screening and Detection (5 papers). Jan Verbeek collaborates with scholars based in Netherlands, United States and United Kingdom. Jan Verbeek's co-authors include Monique J. Roobol, Ewout W. Steyerberg, Jan Y. Verbakel, Andrew J. Vickers, Ben Van Calster, Evangelia Christodoulou, Laure Wynants, Geert J.L.H. van Leenders, Daniël F. Osses and Ivo G. Schoots and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Urology and European Urology.

In The Last Decade

Jan Verbeek

31 papers receiving 1.4k citations

Hit Papers

Reporting and Interpreting Decision Curve Analysis: A Gui... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Verbeek Netherlands 16 770 292 230 214 165 34 1.4k
Zheng Su United States 18 820 1.1× 299 1.0× 167 0.7× 243 1.1× 144 0.9× 88 2.1k
Chin-Shang Li United States 18 381 0.5× 239 0.8× 219 1.0× 256 1.2× 231 1.4× 35 1.3k
Henrik Petersen Denmark 23 528 0.7× 282 1.0× 623 2.7× 173 0.8× 156 0.9× 59 1.5k
Hiroshi Sugimura Japan 18 889 1.2× 420 1.4× 234 1.0× 466 2.2× 85 0.5× 69 1.6k
Rohini K. Hernandez United States 21 354 0.5× 340 1.2× 181 0.8× 587 2.7× 115 0.7× 67 1.7k
Roland Perfekt Sweden 16 416 0.5× 214 0.7× 213 0.9× 266 1.2× 92 0.6× 29 1.4k
Sinae Kim United States 22 537 0.7× 277 0.9× 246 1.1× 433 2.0× 135 0.8× 108 1.5k
Eugenio Salizzoni Italy 18 500 0.6× 191 0.7× 385 1.7× 327 1.5× 67 0.4× 27 1.4k
Jean M. Seely Canada 24 1.1k 1.5× 267 0.9× 467 2.0× 425 2.0× 104 0.6× 102 2.0k
Francesco Leo Italy 24 1.1k 1.4× 496 1.7× 259 1.1× 387 1.8× 192 1.2× 98 1.9k

Countries citing papers authored by Jan Verbeek

Since Specialization
Citations

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

Fields of papers citing papers by Jan Verbeek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Verbeek

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Verbeek. A scholar is included among the top collaborators of Jan Verbeek 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 Jan Verbeek. Jan Verbeek 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.
Naald, Niels van der, et al.. (2024). Trends and projections in fall death in the Netherlands from 1990 to 2045. Emergency Medicine Journal. 41(7). 404–408.
2.
Eger, Aaron M., Nur Arafeh‐Dalmau, Thomas Wernberg, et al.. (2024). State of the world’s kelp forests. One Earth. 7(11). 1927–1931. 1 indexed citations
3.
Filbee‐Dexter, Karen, Thomas Wernberg, Rodolfo Barreiro, et al.. (2022). Leveraging the blue economy to transform marine forest restoration. Journal of Phycology. 58(2). 198–207. 25 indexed citations
4.
Verbeek, Jan, et al.. (2021). E-bike and classic bicycle-related traumatic brain injuries presenting to the emergency department. Emergency Medicine Journal. 38(4). 279–284. 12 indexed citations
6.
Verbeek, Jan, Daan Nieboer, Chris Parker, et al.. (2019). A Tool for Shared Decision Making on Referral for Prostate Biopsy in the Primary Care Setting: Integrating Risks of Cancer with Life Expectancy. Journal of Personalized Medicine. 9(2). 19–19. 1 indexed citations
7.
Verbeek, Jan, Daan Nieboer, Ewout W. Steyerberg, & Monique J. Roobol. (2019). Assessing a patient’s individual risk of biopsy-detectable prostate cancer: Be aware of case mix heterogeneity and a priori likelihood. European Urology Oncology. 4(5). 813–816. 3 indexed citations
8.
Verbeek, Jan, Gerjon Hannink, Koen C. Defoort, Ate B. Wymenga, & Petra J. C. Heesterbeek. (2019). Age, gender, functional KSS, reason for revision and type of bone defect predict functional outcome 5 years after revision total knee arthroplasty: a multivariable prediction model. Knee Surgery Sports Traumatology Arthroscopy. 27(7). 2289–2296. 18 indexed citations
9.
Calster, Ben Van, Laure Wynants, Jan Verbeek, et al.. (2018). Reporting and Interpreting Decision Curve Analysis: A Guide for Investigators. European Urology. 74(6). 796–804. 723 indexed citations breakdown →
10.
Verbeek, Jan, Chris H. Bangma, Charlotte F. Kweldam, et al.. (2018). Reducing unnecessary biopsies while detecting clinically significant prostate cancer including cribriform growth with the ERSPC Rotterdam risk calculator and 4Kscore. Urologic Oncology Seminars and Original Investigations. 37(2). 138–144. 29 indexed citations
12.
Schoots, Ivo G., Daniël F. Osses, Frank‐Jan H. Drost, et al.. (2018). Reduction of MRI-targeted biopsies in men with low-risk prostate cancer on active surveillance by stratifying to PI-RADS and PSA-density, with different thresholds for significant disease. Translational Andrology and Urology. 7(1). 132–144. 45 indexed citations
13.
Verbeek, Jan, et al.. (2018). What is an acceptable false negative rate in the detection of prostate cancer?. Translational Andrology and Urology. 7(1). 54–60. 13 indexed citations
15.
Braga, Isaac, Jan Verbeek, Luís Osório, et al.. (2017). Prospective evaluation on the effect of interobserver variability of digital rectal examination on the performance of the Rotterdam Prostate Cancer Risk Calculator. International Journal of Urology. 24(12). 826–832. 7 indexed citations
16.
Verbeek, Jan, et al.. (2015). The Effect of Implant Failure After Symphyseal Plating on Functional Outcome and General Health. Journal of Orthopaedic Trauma. 30(6). 336–339. 10 indexed citations
17.
Verbeek, Jan, et al.. (2015). Correct Positioning of Percutaneous Iliosacral Screws With Computer-Navigated Versus Fluoroscopically Guided Surgery in Traumatic Pelvic Ring Fractures. Journal of Orthopaedic Trauma. 30(6). 331–335. 20 indexed citations
18.
Zheng, Yu, et al.. (2010). A Novel I-123-Cubane Labelled Bombesin for Imaging GRP Receptor-Expressing Prostate Cancer Cells. Data Archiving and Networked Services (DANS). 1 indexed citations
19.
Haanen, C., et al.. (1989). Dose intensity of MOPP chemotherapy and survival in Hodgkin's disease.. Journal of Clinical Oncology. 7(12). 1776–1782. 60 indexed citations
20.
Verbeek, Jan, et al.. (1987). Major complications and causes of death in patients treated for Hodgkin's disease.. Journal of Clinical Oncology. 5(10). 1624–1633. 46 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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