Laurence Beels

587 total citations
18 papers, 422 citations indexed

About

Laurence Beels is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Laurence Beels has authored 18 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Radiation. Recurrent topics in Laurence Beels's work include Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Radiation Dose and Imaging (6 papers). Laurence Beels is often cited by papers focused on Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Radiation Dose and Imaging (6 papers). Laurence Beels collaborates with scholars based in Belgium, South Africa and Denmark. Laurence Beels's co-authors include Hubert Thierens, Joke Werbrouck, Klaus Bacher, Daniël De Wolf, Alex Maes, Christophe Van de Wiele, Anne Vral, Hans Pottel, Koenraad Verstraete and Peter Smeets and has published in prestigious journals such as Circulation, International Journal of Molecular Sciences and Physics in Medicine and Biology.

In The Last Decade

Laurence Beels

18 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurence Beels Belgium 10 277 149 128 85 40 18 422
Harald Dörr Germany 12 364 1.3× 149 1.0× 115 0.9× 85 1.0× 47 1.2× 18 482
Cassandra P. Smith United States 8 447 1.6× 194 1.3× 104 0.8× 62 0.7× 52 1.3× 8 506
Joke Werbrouck Belgium 10 229 0.8× 209 1.4× 260 2.0× 128 1.5× 11 0.3× 13 557
Wendy Munoz-Moñtano Mexico 8 173 0.6× 207 1.4× 63 0.5× 73 0.9× 31 0.8× 22 403
Alisa J. Prager United States 12 366 1.3× 151 1.0× 66 0.5× 41 0.5× 18 0.5× 30 665
Yuki FUJIMICHI Japan 8 269 1.0× 81 0.5× 121 0.9× 16 0.2× 48 1.2× 22 437
Caroline Burgard Germany 13 194 0.7× 205 1.4× 75 0.6× 22 0.3× 18 0.5× 53 372
André H. Dias Denmark 12 255 0.9× 181 1.2× 40 0.3× 21 0.2× 50 1.3× 36 476
Desiree Weiberg Germany 11 184 0.7× 178 1.2× 42 0.3× 28 0.3× 20 0.5× 21 378
Yukikiyo Kawakami Japan 13 97 0.4× 255 1.7× 94 0.7× 31 0.4× 21 0.5× 52 476

Countries citing papers authored by Laurence Beels

Since Specialization
Citations

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

Fields of papers citing papers by Laurence Beels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurence Beels

This figure shows the co-authorship network connecting the top 25 collaborators of Laurence Beels. A scholar is included among the top collaborators of Laurence Beels 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 Laurence Beels. Laurence Beels 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.
Struelens, Lara, Else A. Aalbersberg, Laurence Beels, et al.. (2024). How much do 68Ga-, 177Lu- and 131I-based radiopharmaceuticals contribute to the global radiation exposure of nuclear medicine staff?. EJNMMI Physics. 11(1). 95–95. 1 indexed citations
2.
Bruwaene, Siska Van, Alex Maes, Laurence Beels, et al.. (2023). AR and PI3K Genomic Profiling of Cell-free DNA Can Identify Poor Responders to Lutetium-177-PSMA Among Patients with Metastatic Castration-resistant Prostate Cancer. European Urology Open Science. 53. 63–66. 18 indexed citations
3.
Beels, Laurence, et al.. (2023). A systematic review and meta-analysis on the radiation dose of computed tomography in hybrid nuclear medicine imaging. EJNMMI Physics. 10(1). 32–32. 9 indexed citations
4.
Beels, Laurence, et al.. (2022). Principal component analysis of texture features derived from FDG PET images of melanoma lesions. EJNMMI Physics. 9(1). 64–64. 6 indexed citations
5.
Wiele, Christophe Van de, et al.. (2019). PSMA-Targeting Positron Emission Agents for Imaging Solid Tumors Other Than Non-Prostate Carcinoma: A Systematic Review. International Journal of Molecular Sciences. 20(19). 4886–4886. 36 indexed citations
6.
Beels, Laurence, et al.. (2018). Impact of PET reconstruction protocols on quantification of lesions that fulfil the PERCIST lesion inclusion criteria. EJNMMI Physics. 5(1). 35–35. 25 indexed citations
7.
Beels, Laurence, et al.. (2016). False-Positive Axillary Lymph Nodes Due to Silicone Adenitis on 18 F-FDG PET/CT in an Oncological Setting. Journal of Thoracic Oncology. 11(6). e73–e75. 13 indexed citations
8.
Beels, Laurence, et al.. (2016). Evaluation of CT-based SUV normalization. Physics in Medicine and Biology. 61(17). 6369–6383. 4 indexed citations
9.
Beels, Laurence, et al.. (2016). Review of clinically accessible methods to determine lean body mass for normalization of standardized uptake values.. PubMed. 60(1). 1–11. 7 indexed citations
10.
Beels, Laurence, et al.. (2016). Preclinical validation of automated dual-energy X-ray absorptiometry and computed tomography-based body composition measurements.. PubMed. 60(1). 40–7. 3 indexed citations
11.
Beels, Laurence, et al.. (2013). PET/CT phantom scans to acquire the EARL accreditation. 54(22). 1233–1233. 1 indexed citations
12.
Stellamans, Karin, Gilles Mees, Bart De Spiegeleer, et al.. (2013). Quantitative pretreatment VOI analysis of liver metastases. Nuklearmedizin - NuclearMedicine. 52(1). 21–27. 3 indexed citations
13.
Werbrouck, Joke, Piet Ost, Valérie Fonteyne, et al.. (2013). Early biomarkers related to secondary primary cancer risk in radiotherapy treated prostate cancer patients: IMRT versus IMAT. Radiotherapy and Oncology. 107(3). 377–381. 10 indexed citations
14.
Beels, Laurence, Klaus Bacher, Peter Smeets, et al.. (2011). Dose-length product of scanners correlates with DNA damage in patients undergoing contrast CT. European Journal of Radiology. 81(7). 1495–1499. 47 indexed citations
15.
Ruyck, Kim De, et al.. (2010). Association of TGFβ1 polymorphisms involved in radiation toxicity with TGFβ1 secretion in vitro. Cytokine. 50(1). 37–41. 4 indexed citations
16.
Ruyck, Kim De, Kristiaan Nackaerts, Laurence Beels, et al.. (2010). Genetic Variation in Three Candidate Genes and Nicotine Dependence, Withdrawal and Smoking Cessation in Hospitalized Patients. Pharmacogenomics. 11(8). 1053–1063. 33 indexed citations
17.
Beels, Laurence, Joke Werbrouck, & Hubert Thierens. (2010). Dose response and repair kinetics of γ-H2AX foci induced by in vitro irradiation of whole blood and T-lymphocytes with X- and γ-radiation. International Journal of Radiation Biology. 86(9). 760–768. 66 indexed citations
18.
Beels, Laurence, Klaus Bacher, Daniël De Wolf, Joke Werbrouck, & Hubert Thierens. (2009). γ-H2AX Foci as a Biomarker for Patient X-Ray Exposure in Pediatric Cardiac Catheterization. Circulation. 120(19). 1903–1909. 136 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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