Katya Op de beeck

1.2k total citations
18 papers, 862 citations indexed

About

Katya Op de beeck is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Otorhinolaryngology. According to data from OpenAlex, Katya Op de beeck has authored 18 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Surgery and 5 papers in Otorhinolaryngology. Recurrent topics in Katya Op de beeck's work include MRI in cancer diagnosis (6 papers), Head and Neck Cancer Studies (3 papers) and IgG4-Related and Inflammatory Diseases (2 papers). Katya Op de beeck is often cited by papers focused on MRI in cancer diagnosis (6 papers), Head and Neck Cancer Studies (3 papers) and IgG4-Related and Inflammatory Diseases (2 papers). Katya Op de beeck collaborates with scholars based in Belgium, Netherlands and France. Katya Op de beeck's co-authors include Frederik De Keyzer, Vincent Vandecaveye, Robert Hermans, Vincent Vander Poorten, Piet Dirix, Sandra Nuyts, I. Roebben, Steven Dymarkowski, Bela Purohit and Katrijn Michielsen and has published in prestigious journals such as Radiology, International Journal of Radiation Oncology*Biology*Physics and European Radiology.

In The Last Decade

Katya Op de beeck

18 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katya Op de beeck Belgium 10 517 210 163 162 144 18 862
Tsuneaki Nakagawa Japan 9 558 1.1× 56 0.3× 141 0.9× 73 0.5× 134 0.9× 9 850
Nermin Soliman Egypt 8 489 0.9× 145 0.7× 181 1.1× 8 0.0× 29 0.2× 13 711
Tsuyoshi Matsushita Japan 11 475 0.9× 105 0.5× 269 1.7× 16 0.1× 38 0.3× 19 849
Ryoichi Yoshimura Japan 15 137 0.3× 206 1.0× 288 1.8× 8 0.0× 66 0.5× 75 694
Andrea Skanjeti France 15 362 0.7× 39 0.2× 237 1.5× 15 0.1× 43 0.3× 45 836
Sandra Purz Germany 15 391 0.8× 114 0.5× 89 0.5× 7 0.0× 26 0.2× 27 581
Winn Aung Japan 6 442 0.9× 14 0.1× 138 0.8× 72 0.4× 98 0.7× 8 596
J. Stattaus Germany 13 384 0.7× 13 0.1× 125 0.8× 106 0.7× 43 0.3× 34 614
Reiji Ochiai Japan 8 645 1.2× 9 0.0× 144 0.9× 22 0.1× 36 0.3× 12 796
Xiaodong Zhou China 13 127 0.2× 12 0.1× 158 1.0× 198 1.2× 144 1.0× 31 498

Countries citing papers authored by Katya Op de beeck

Since Specialization
Citations

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

Fields of papers citing papers by Katya Op de beeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katya Op de beeck. 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 Katya Op de beeck. The network helps show where Katya Op de beeck may publish in the future.

Co-authorship network of co-authors of Katya Op de beeck

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

All Works

18 of 18 papers shown
1.
Purohit, Bela, Katya Op de beeck, & Robert Hermans. (2020). Role of MRI as first-line modality in the detection of previously undiagnosed otosclerosis: a single tertiary institute experience. Insights into Imaging. 11(1). 71–71. 2 indexed citations
2.
Meersseman, Wouter, Geert Maleux, Sabrina Houthoofd, et al.. (2018). Thrombosis of a portal vein aneurysm: a case report with literature review. Acta Clinica Belgica. 74(2). 115–120. 6 indexed citations
3.
Laenen, Annouschka, D. Timmerman, Sandra Cornelissen, et al.. (2018). A new imaging technology to reduce the radiation dose during uterine fibroid embolization. Acta Radiologica. 59(12). 1446–1450. 8 indexed citations
4.
Verhaert, Nicolas, et al.. (2016). Malformations of the middle and inner ear on CT-imaging in 22q11 deletion syndrome. 59–59. 18 indexed citations
5.
Michielsen, Katrijn, Ignace Vergote, Raphaëla C. Dresen, et al.. (2016). Whole-body diffusion-weighted magnetic resonance imaging in the diagnosis of recurrent ovarian cancer: a clinical feasibility study. British Journal of Radiology. 89(1067). 20160468–20160468. 19 indexed citations
6.
Moerman, Philippe, et al.. (2014). Reactive Nodular Fibrous Pseudotumor: Case Report and Review of the Literature. Case Reports in Obstetrics and Gynecology. 2014. 1–4. 1 indexed citations
7.
Purohit, Bela, Robert Hermans, & Katya Op de beeck. (2014). Imaging in otosclerosis: A pictorial review. Insights into Imaging. 5(2). 245–252. 67 indexed citations
8.
beeck, Katya Op de, et al.. (2014). CT diagnosis of a post-embolization ischemic diverticulitis of Meckel. PubMed. 3(9). 3768845682–3768845682. 2 indexed citations
9.
Michielsen, Katrijn, Ignace Vergote, Katya Op de beeck, et al.. (2013). Whole-body MRI with diffusion-weighted sequence for staging of patients with suspected ovarian cancer: a clinical feasibility study in comparison to CT and FDG-PET/CT. European Radiology. 24(4). 889–901. 162 indexed citations
10.
Vandecaveye, Vincent, Katrijn Michielsen, Frederik De Keyzer, et al.. (2013). Chemoembolization for Hepatocellular Carcinoma: 1-Month Response Determined with Apparent Diffusion Coefficient Is an Independent Predictor of Outcome. Radiology. 270(3). 747–757. 49 indexed citations
11.
Vandecaveye, Vincent, Piet Dirix, Frederik De Keyzer, et al.. (2011). Diffusion-Weighted Magnetic Resonance Imaging Early After Chemoradiotherapy to Monitor Treatment Response in Head-and-Neck Squamous Cell Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 82(3). 1098–1107. 113 indexed citations
12.
Heerden, Jaques van, et al.. (2011). A Child With Bilateral Proptosis. Journal of Pediatric Hematology/Oncology. 34(1). 35–37. 3 indexed citations
13.
Amant, Frédéric, Kristel Van Calsteren, Maria Dêbiec‐Rychter, et al.. (2010). High-grade endometrial stromal sarcoma presenting in a 28-year-old woman during pregnancy: a case report. Journal of Medical Case Reports. 4(1). 243–243. 6 indexed citations
14.
Vandecaveye, Vincent, Piet Dirix, Frederik De Keyzer, et al.. (2010). Predictive value of diffusion-weighted magnetic resonance imaging during chemoradiotherapy for head and neck squamous cell carcinoma. European Radiology. 20(7). 1703–1714. 161 indexed citations
15.
16.
Dirix, Piet, Vincent Vandecaveye, Frederik De Keyzer, et al.. (2009). Diffusion-Weighted MRI for Nodal Staging of Head and Neck Squamous Cell Carcinoma: Impact on Radiotherapy Planning. International Journal of Radiation Oncology*Biology*Physics. 76(3). 761–766. 52 indexed citations
17.
Vandecaveye, Vincent, Frederik De Keyzer, Chris Verslype, et al.. (2009). Diffusion-weighted MRI provides additional value to conventional dynamic contrast-enhanced MRI for detection of hepatocellular carcinoma. European Radiology. 19(10). 2456–2466. 144 indexed citations
18.
beeck, Katya Op de, Robert Hermans, Pierre Delaere, Walter Van den Bogaert, & Guy Marchal. (2001). Laryngeal squamous cell carcinoma presenting as a prelaryngeal neck abscess: report of two cases. European Radiology. 11(12). 2479–2483. 6 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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