The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Monique J. Roobol sits on this spectrum.
This scientist: 820 publications — 88th percentile
88% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,796 publications or more.
The chart shows the D-index (discipline H-index) distribution of Medicine scientists ranked by Research.com in 2026. The highlighted bar marks where Monique J. Roobol sits on this spectrum.
This scientist: 102 D-Index — 63rd percentile
63% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 217 D-Index or more.
Monique J. Roobol is affiliated with Erasmus MC in the Netherlands and has a significant body of work in medical research, particularly focused on prostate cancer. Their expertise spans a range of fields within medicine, including pulmonary and respiratory medicine, oncology, surgery, radiology, nuclear medicine, and imaging, as well as economics and econometrics.
The scientist's research primarily addresses topics related to prostate cancer diagnosis and treatment, prostate cancer treatment and research, and related areas such as global cancer incidence and screening, bladder and urothelial cancer treatments, radiomics and machine learning in medical imaging, health systems, economic evaluations, quality of life, and colorectal cancer screening and detection.
Recent notable publications include:
Frequent co-authors collaborating with Roobol include:
Roobol has published extensively in prominent scientific venues, with significant contributions appearing in:
Their research integrates multiple disciplinary approaches to advance early detection and risk stratification in prostate cancer, including the application of multi-omics data, personalized screening strategies using prostate-specific antigen testing, and the use of convolutional neural networks for imaging analysis. This interdisciplinary work reflects their engagement with evolving technologies in medical imaging and machine learning as applied to oncology.
Monique J. Roobol's body of work also encompasses health economic evaluations and quality-of-life considerations as part of broader prostate cancer treatment and screening programs, situating their research at the interface of clinical practice, public health policy, and innovation in diagnostic methodologies.
Fritz H. Schröder;Jonas Hugosson;Monique J. Roobol;Stefano Ciatto
Veeru Kasivisvanathan;Antti S. Rannikko;Marcelo Borghi;Valeria Panebianco
Fritz H Schröder;Jonas Hugosson;Monique J Roobol;Teuvo L J Tammela
Fritz H. Schröder;Jonas Hugosson;Monique J. Roobol;Stefano Ciatto
Fredrick R. Schumacher;Ali Amin Al Olama;Sonja I. Berndt;Sara Benlloch
Ivo G. Schoots;Monique J. Roobol;Daan Nieboer;Chris H. Bangma
Ben Van Calster;Ben Van Calster;Laure Wynants;Jan F.M. Verbeek;Jan Y. Verbakel;Jan Y. Verbakel
Meelan Bul;Xiaoye Zhu;Riccardo Valdagni;Tom Pickles
Frankâ€Jan H Drost;Daniël F Osses;Daan Nieboer;Ewout W Steyerberg
René Raaijmakers;Wim J Kirkels;Monique J Roobol;Mark F Wildhagen
Jonas Hugosson;Monique J. Roobol;Marianne Månsson;Teuvo L.J. Tammela
Eveline A M Heijnsdijk;Elisabeth M Wever;Anssi Auvinen;Jonas Hugosson
Stacy Loeb;Suzanne van den Heuvel;Xiaoye Zhu;Chris H. Bangma
Leonard P. Bokhorst;Riccardo Valdagni;Antti Rannikko;Yoshiyuki Kakehi
David V. Conti;Burcu F. Darst;Lilit C. Moss;Edward J. Saunders
Monique J. Roobol;Ewout W. Steyerberg;Ries Kranse;Tineke Wolters
E.W. Steyerberg;M.J. Roobol;M.W. Kattan;T.H. van der Kwast
Roderick C.N. van den Bergh;Stijn Roemeling;Monique J. Roobol;Gunnar Aus
Fritz H. Schröder;Jonas Hugosson;Sigrid Carlsson;Teuvo Tammela
Flip H. Jansen;Ron H.N. van Schaik;Joep Kurstjens;Wolfgang Horninger
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