Marleen Borms

1.3k total citations
10 papers, 67 citations indexed

About

Marleen Borms is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Marleen Borms has authored 10 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in Marleen Borms's work include Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Estrogen and related hormone effects (2 papers). Marleen Borms is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Estrogen and related hormone effects (2 papers). Marleen Borms collaborates with scholars based in Belgium, United Kingdom and United States. Marleen Borms's co-authors include Vibeke Krüse, Hans Pottel, Christophe Van de Wiele, Michelle Lycke, Alex Maes, Véronique Cocquyt, Yves D’Asseler, Alex Maes, Philip R. Debruyne and Gilles Mees and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and European Journal of Cancer.

In The Last Decade

Marleen Borms

8 papers receiving 66 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marleen Borms Belgium 5 28 24 21 9 9 10 67
Zhaowen Sun United States 6 56 2.0× 63 2.6× 28 1.3× 5 0.6× 15 1.7× 11 135
K. M. Furkan Uddin Bangladesh 6 13 0.5× 17 0.7× 8 0.4× 6 0.7× 4 0.4× 14 79
A. Spagnoletti Italy 4 14 0.5× 56 2.3× 18 0.9× 3 0.3× 4 0.4× 13 82
Anna Pous Spain 4 19 0.7× 38 1.6× 10 0.5× 2 0.2× 7 0.8× 7 61
Andrea Gräfe Germany 5 10 0.4× 14 0.6× 5 0.2× 8 0.9× 20 2.2× 11 60
P.S. Sridhar India 4 19 0.7× 13 0.5× 11 0.5× 4 0.4× 12 48
Amy Lew Tsuhako United States 2 11 0.4× 33 1.4× 10 0.5× 3 0.3× 7 0.8× 2 49
Jamalia Rahmat Malaysia 5 9 0.3× 23 1.0× 54 2.6× 4 0.4× 18 106
Marco Sereno United Kingdom 4 27 1.0× 10 0.4× 10 0.5× 1 0.1× 10 1.1× 7 51
Laura Leroy France 3 18 0.6× 28 1.2× 5 0.2× 2 0.2× 3 0.3× 8 36

Countries citing papers authored by Marleen Borms

Since Specialization
Citations

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

Fields of papers citing papers by Marleen Borms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marleen Borms

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

All Works

10 of 10 papers shown
1.
Lycke, Michelle, Christine Langenaeken, Christel Fontaine, et al.. (2021). A randomised wait-list controlled trial to evaluate Emotional Freedom Techniques for self-reported cancer-related cognitive impairment in cancer survivors (EMOTICON). EClinicalMedicine. 39. 101081–101081. 13 indexed citations
2.
Krüse, Vibeke, Christophe Van de Wiele, Alex Maes, et al.. (2017). Stable metabolic disease on FDG-PET provides information on response to endocrine therapy for breast cancer. The Quarterly Journal of Nuclear Medicine and Molecular Imaging. 61(1). 108–114. 2 indexed citations
4.
Brufsky, Adam, Sung‐Bae Kim, Thierry Velu, et al.. (2016). Cobimetinib (C) + paclitaxel (P) as first-line treatment in patients (pts) with advanced triple-negative breast cancer (TNBC): Updated results and biomarker data from the phase 2 COLET study.. Journal of Clinical Oncology. 34(15_suppl). 1074–1074. 5 indexed citations
5.
Krüse, Vibeke, et al.. (2015). Reproducibility of FDG PET based metabolic tumor volume measurements and of their FDG distribution within.. PubMed. 59(4). 462–8. 15 indexed citations
6.
Lycke, Michelle, Tom Boterberg, Lies Pottel, et al.. (2014). Validation of the Freund Clock Drawing Test as a screening tool to detect cognitive dysfunction in elderly cancer patients undergoing comprehensive geriatric assessment. Psycho-Oncology. 23(10). 1172–1177. 18 indexed citations
7.
Krüse, Vibeke, Christophe Van de Wiele, Marleen Borms, et al.. (2014). CA 15.3 measurements for separating FDG PET/CT positive from negative findings in breast carcinoma recurrence. Nuklearmedizin - NuclearMedicine. 53(4). 131–138. 3 indexed citations
8.
Krüse, Vibeke, Véronique Cocquyt, Marleen Borms, Alex Maes, & Christophe Van de Wiele. (2012). Serum tumor markers and PET/CT imaging for tumor recurrence detection. Annals of Nuclear Medicine. 27(2). 97–104. 7 indexed citations
9.
Borms, Marleen, et al.. (1993). Vorozole-racemate (R 76713): A specific non-steroidal aromatase inhibitor. Pilot study advanced postmenopausal breast cancer. European Journal of Cancer. 29. S84–S84. 3 indexed citations
10.
Huys, J, Marleen Borms, & Marlene Troch. (1983). Intra-arterial Radionuclide Infusion as an Aid to Assess Chemotherapy Perfusion Patterns. Clinical Nuclear Medicine. 8(6). 254–256. 1 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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