B. Goorts

502 total citations
11 papers, 333 citations indexed

About

B. Goorts is a scholar working on Cancer Research, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, B. Goorts has authored 11 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cancer Research, 5 papers in Pathology and Forensic Medicine and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in B. Goorts's work include Breast Cancer Treatment Studies (9 papers), Medical Imaging Techniques and Applications (5 papers) and Breast Lesions and Carcinomas (5 papers). B. Goorts is often cited by papers focused on Breast Cancer Treatment Studies (9 papers), Medical Imaging Techniques and Applications (5 papers) and Breast Lesions and Carcinomas (5 papers). B. Goorts collaborates with scholars based in Netherlands, Germany and United States. B. Goorts's co-authors include Marjolein L. Smidt, Marc B. I. Lobbes, Thiemo J. A. van Nijnatten, Maaike de Boer, Esther M. Heuts, Loes Kooreman, M. Moossdorff, Linda de Munck, Evert-Jan G. Boerma and Bart de Vries and has published in prestigious journals such as European Journal of Cancer, Breast Cancer Research and Treatment and Breast Cancer Research.

In The Last Decade

B. Goorts

11 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Goorts Netherlands 8 221 163 134 88 51 11 333
Enis Öztürk Türkiye 5 121 0.5× 136 0.8× 165 1.2× 49 0.6× 46 0.9× 8 301
Katalin Ormándi Hungary 11 153 0.7× 56 0.3× 118 0.9× 123 1.4× 32 0.6× 26 262
Özgür Sarıca Türkiye 6 125 0.6× 165 1.0× 200 1.5× 37 0.4× 50 1.0× 13 336
Luciana Graziano Brazil 9 110 0.5× 105 0.6× 130 1.0× 43 0.5× 28 0.5× 30 254
Fatih Uluc Türkiye 3 112 0.5× 151 0.9× 174 1.3× 34 0.4× 38 0.7× 3 288
Anna Morra Italy 13 381 1.7× 155 1.0× 144 1.1× 115 1.3× 111 2.2× 33 521
Merih Güray Durak Türkiye 8 107 0.5× 53 0.3× 140 1.0× 48 0.5× 63 1.2× 40 265
José H. Volders Netherlands 11 304 1.4× 63 0.4× 193 1.4× 103 1.2× 196 3.8× 25 382
M. Sylván Sweden 6 116 0.5× 62 0.4× 107 0.8× 60 0.7× 58 1.1× 6 205
Lauren Friedlander United States 7 183 0.8× 128 0.8× 167 1.2× 40 0.5× 54 1.1× 10 306

Countries citing papers authored by B. Goorts

Since Specialization
Citations

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

Fields of papers citing papers by B. Goorts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Goorts

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

All Works

11 of 11 papers shown
1.
Nijnatten, Thiemo J. A. van, B. Goorts, Loes Kooreman, et al.. (2023). Prediction of Primary Tumour and Axillary Lymph Node Response to Neoadjuvant Chemo(Targeted) Therapy with Dedicated Breast [18F]FDG PET/MRI in Breast Cancer. Cancers. 15(2). 401–401. 6 indexed citations
2.
Moossdorff, M., Thiemo J. A. van Nijnatten, Marissa C. van Maaren, et al.. (2021). Conditional local recurrence risk: the effect of event-free years in different subtypes of breast cancer. Breast Cancer Research and Treatment. 186(3). 863–870. 4 indexed citations
3.
Nijnatten, Thiemo J. A. van, Marjolein L. Smidt, B. Goorts, et al.. (2019). Can high school students help to improve breast radiologists in detecting missed breast cancer lesions on full-field digital mammography?. Journal of Cancer. 10(3). 765–771. 7 indexed citations
4.
Goorts, B., Janneke B. Houwers, Loes Kooreman, et al.. (2018). MRI-based response patterns during neoadjuvant chemotherapy can predict pathological (complete) response in patients with breast cancer. Breast Cancer Research. 20(1). 34–34. 55 indexed citations
5.
Goorts, B., Thiemo J. A. van Nijnatten, Linda de Munck, et al.. (2017). Clinical tumor stage is the most important predictor of pathological complete response rate after neoadjuvant chemotherapy in breast cancer patients. Breast Cancer Research and Treatment. 163(1). 83–91. 80 indexed citations
6.
Goorts, B., Stefan Vöö, Thiemo J. A. van Nijnatten, et al.. (2017). Hybrid 18F–FDG PET/MRI might improve locoregional staging of breast cancer patients prior to neoadjuvant chemotherapy. European Journal of Nuclear Medicine and Molecular Imaging. 44(11). 1796–1805. 21 indexed citations
7.
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
8.
Aarnoutse, Romy, Judith de Vos‐Geelen, John Penders, et al.. (2017). Study protocol on the role of intestinal microbiota in colorectal cancer treatment: a pathway to personalized medicine 2.0. International Journal of Colorectal Disease. 32(7). 1077–1084. 25 indexed citations
9.
Nijnatten, Thiemo J. A. van, B. Goorts, Stefan Vöö, et al.. (2017). Added value of dedicated axillary hybrid 18F-FDG PET/MRI for improved axillary nodal staging in clinically node-positive breast cancer patients: a feasibility study. European Journal of Nuclear Medicine and Molecular Imaging. 45(2). 179–186. 23 indexed citations
10.
Roozendaal, Lori M. van, B. Goorts, Kristien Keymeulen, et al.. (2016). Sentinel lymph node biopsy can be omitted in DCIS patients treated with breast conserving therapy. Breast Cancer Research and Treatment. 156(3). 517–525. 47 indexed citations
11.
Nijnatten, Thiemo J. A. van, Eline H. Ploumen, B. Goorts, et al.. (2016). Routine use of standard breast MRI compared to axillary ultrasound for differentiating between no, limited and advanced axillary nodal disease in newly diagnosed breast cancer patients. European Journal of Radiology. 85(12). 2288–2294. 61 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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