Roel Mus

3.1k total citations
31 papers, 2.0k citations indexed

About

Roel Mus is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Roel Mus has authored 31 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Oncology and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Roel Mus's work include Radiomics and Machine Learning in Medical Imaging (11 papers), MRI in cancer diagnosis (9 papers) and Advanced MRI Techniques and Applications (9 papers). Roel Mus is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), MRI in cancer diagnosis (9 papers) and Advanced MRI Techniques and Applications (9 papers). Roel Mus collaborates with scholars based in Netherlands, Germany and Belgium. Roel Mus's co-authors include Jelle O. Barentsz, C. Boetes, Nico Karssemeijer, Jan H. C. L. Hendriks, Roland Holland, Ritse M. Mann, Bram Platel, Theo Wobbes, S P Strijk and R.F. van der Sluis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Roel Mus

31 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roel Mus Netherlands	20	1.2k	488	446	437	294	31	2.0k
Panu E. Kovanen Finland	26	415 0.3×	170 0.3×	755 1.7×	691 1.6×	422 1.4×	44	2.3k
Elzbieta Slodkowska Canada	24	703 0.6×	291 0.6×	113 0.3×	1.2k 2.7×	199 0.7×	65	2.1k
Robert J. Marinelli United States	17	276 0.2×	333 0.7×	333 0.7×	673 1.5×	369 1.3×	19	2.1k
Timothy M. D’Alfonso United States	22	187 0.2×	443 0.9×	280 0.6×	871 2.0×	144 0.5×	69	1.8k
Balázs Ács Sweden	17	461 0.4×	90 0.2×	173 0.4×	563 1.3×	436 1.5×	50	1.2k
Christian A. Kunder United States	24	346 0.3×	127 0.3×	266 0.6×	364 0.8×	155 0.5×	80	1.8k
Hanne A. Askautrud Norway	12	346 0.3×	78 0.2×	256 0.6×	563 1.3×	246 0.8×	22	1.3k
Markus Eckstein Germany	25	303 0.2×	107 0.2×	268 0.6×	935 2.1×	179 0.6×	208	2.4k
Claudia G. Berman United States	30	377 0.3×	840 1.7×	322 0.7×	2.4k 5.4×	275 0.9×	77	3.6k
Riku Turkki Finland	20	496 0.4×	56 0.1×	203 0.5×	541 1.2×	551 1.9×	35	1.6k

Countries citing papers authored by Roel Mus

Since Specialization

Citations

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

Fields of papers citing papers by Roel Mus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roel Mus

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

Westdorp, Harm, Jeroen H. A. Creemers, Inge M. van Oort, et al.. (2019). Blood-derived dendritic cell vaccinations induce immune responses that correlate with clinical outcome in patients with chemo-naive castration-resistant prostate cancer. Journal for ImmunoTherapy of Cancer. 7(1). 302–302. 87 indexed citations

Mus, Roel, Peter Bult, Elisabeth Weiland, et al.. (2017). Time to enhancement derived from ultrafast breast MRI as a novel parameter to discriminate benign from malignant breast lesions. European Journal of Radiology. 89. 90–96. 77 indexed citations

Bol, Kalijn F., Erik H.J.G. Aarntzen, Jeanette M. Pots, et al.. (2016). Prophylactic vaccines are potent activators of monocyte-derived dendritic cells and drive effective anti-tumor responses in melanoma patients at the cost of toxicity. Cancer Immunology Immunotherapy. 65(3). 327–339. 53 indexed citations

Mann, Ritse M., Roel Mus, Jan van Zelst, et al.. (2014). A Novel Approach to Contrast-Enhanced Breast Magnetic Resonance Imaging for Screening. Investigative Radiology. 49(9). 579–585. 164 indexed citations

Tan, Tao, Bram Platel, Thorsten Twellmann, et al.. (2013). Evaluation of the Effect of Computer-Aided Classification of Benign and Malignant Lesions on Reader Performance in Automated Three-dimensional Breast Ultrasound. Academic Radiology. 20(11). 1381–1388. 24 indexed citations

Aarntzen, Erik H.J.G., I. Jolanda M. de Vries, W. Joost Lesterhuis, et al.. (2012). Targeting CD4+ T-Helper Cells Improves the Induction of Antitumor Responses in Dendritic Cell–Based Vaccination. Cancer Research. 73(1). 19–29. 131 indexed citations

Aarntzen, Erik H.J.G., Gerty Schreibelt, Kalijn F. Bol, et al.. (2012). Vaccination with mRNA-Electroporated Dendritic Cells Induces Robust Tumor Antigen-Specific CD4+ and CD8+ T Cells Responses in Stage III and IV Melanoma Patients. Clinical Cancer Research. 18(19). 5460–5470. 80 indexed citations

Stevens, Wendy B.C., J. Han van Krieken, Roel Mus, et al.. (2012). Centralised multidisciplinary re-evaluation of diagnostic procedures in patients with newly diagnosed Hodgkin lymphoma. Annals of Oncology. 23(10). 2676–2681. 5 indexed citations

Samulski, Maurice, Marc B. I. Lobbes, Ritse M. Mann, et al.. (2012). Computer-aided Detection of Masses at Mammography: Interactive Decision Support versus Prompts. Radiology. 266(1). 123–129. 48 indexed citations

10.

Schlooz-Vries, Margrethe, Roel Mus, Johan Bulten, et al.. (2012). One-day core needle biopsy in a breast clinic: 4 years experience. Breast Cancer Research and Treatment. 137(2). 609–616. 16 indexed citations

11.

Tan, Tao, et al.. (2012). Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation. IEEE Transactions on Medical Imaging. 31(5). 1034–1042. 69 indexed citations

12.

Hendriks, Thijs, Robert P. Bleichrodt, Helena M. Dekker, et al.. (2012). ¹⁸F-2-Deoxy-2-Fluoro-D-Glucose Positron Emission Tomography, Computed Tomography, and Magnetic Resonance Imaging for the Detection of Experimental Colorectal Liver Metastases. Molecular Imaging. 11(2). 148–54. 2 indexed citations

13.

Lesterhuis, W. Joost, I. Jolanda M. de Vries, Gerty Schreibelt, et al.. (2011). Route of Administration Modulates the Induction of Dendritic Cell Vaccine–Induced Antigen-Specific T Cells in Advanced Melanoma Patients. Clinical Cancer Research. 17(17). 5725–5735. 138 indexed citations

14.

Veltman, Jeroen, et al.. (2011). MR-guided breast biopsy at 3T: diagnostic yield of large core needle biopsy compared with vacuum-assisted biopsy. European Radiology. 22(2). 341–349. 19 indexed citations

15.

Tan, Tao, et al.. (2011). Classification of breast lesions in automated 3D breast ultrasound. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7963. 79630X–79630X. 4 indexed citations

16.

Samulski, Maurice, et al.. (2010). Using computer-aided detection in mammography as a decision support. European Radiology. 20(10). 2323–2330. 49 indexed citations

17.

Mann, Ritse M., Roel Mus, Axel Winkel, et al.. (2010). MRI-guided breast biopsy at 3T using a dedicated large core biopsy set: Feasibility and initial results. European Journal of Radiology. 79(2). 257–261. 22 indexed citations

18.

Makarau, Aliaksei, et al.. (2010). Breast MRI intensity non-uniformity correction using mean-shift. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7624. 76242D–76242D. 3 indexed citations

19.

Boetes, C., Roel Mus, Roland Holland, et al.. (1995). Breast tumors: comparative accuracy of MR imaging relative to mammography and US for demonstrating extent.. Radiology. 197(3). 743–747. 401 indexed citations

20.

Boetes, C., Jelle O. Barentsz, Roel Mus, et al.. (1994). MR characterization of suspicious breast lesions with a gadolinium-enhanced TurboFLASH subtraction technique.. Radiology. 193(3). 777–781. 309 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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