Leen Slaets

10.4k total citations
45 papers, 960 citations indexed

About

Leen Slaets is a scholar working on Cancer Research, Oncology and Genetics. According to data from OpenAlex, Leen Slaets has authored 45 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cancer Research, 20 papers in Oncology and 7 papers in Genetics. Recurrent topics in Leen Slaets's work include Breast Cancer Treatment Studies (21 papers), Cancer Genomics and Diagnostics (8 papers) and BRCA gene mutations in cancer (7 papers). Leen Slaets is often cited by papers focused on Breast Cancer Treatment Studies (21 papers), Cancer Genomics and Diagnostics (8 papers) and BRCA gene mutations in cancer (7 papers). Leen Slaets collaborates with scholars based in Belgium, United States and Netherlands. Leen Slaets's co-authors include Emiel J. Rutgers, Konstantinos Tryfonidis, Gerda Claeskens, Ruud M. Pijnappel, Mia Hubert, Jelle Wesseling, Nicolas Dif, A. Elise van Leeuwen‐Stok, Nina Bijker and Lotte E. Elshof and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and Cancer Research.

In The Last Decade

Leen Slaets

43 papers receiving 943 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leen Slaets Belgium 16 544 436 282 134 130 45 960
Melissa Zhao United States 8 372 0.7× 257 0.6× 108 0.4× 143 1.1× 96 0.7× 15 909
Marissa C. van Maaren Netherlands 15 738 1.4× 527 1.2× 332 1.2× 96 0.7× 322 2.5× 53 1.2k
Sílvia Pineda Spain 15 567 1.0× 487 1.1× 139 0.5× 205 1.5× 115 0.9× 29 1.1k
Marcus Galea United Kingdom 3 517 1.0× 452 1.0× 213 0.8× 107 0.8× 54 0.4× 7 855
Bronislava M. Sigal United States 11 226 0.4× 417 1.0× 283 1.0× 292 2.2× 47 0.4× 18 990
Olorunsola F. Agbaje United Kingdom 15 262 0.5× 438 1.0× 138 0.5× 107 0.8× 153 1.2× 26 971
Carl Schaper United States 13 1.1k 2.1× 749 1.7× 191 0.7× 304 2.3× 32 0.2× 27 1.7k
Robyn Temple‐Smolkin United States 13 717 1.3× 519 1.2× 471 1.7× 304 2.3× 86 0.7× 22 1.4k
Stephen Braye Australia 18 849 1.6× 774 1.8× 212 0.8× 434 3.2× 97 0.7× 41 1.5k
Stephen Duffy United Kingdom 11 250 0.5× 784 1.8× 192 0.7× 417 3.1× 57 0.4× 15 1.3k

Countries citing papers authored by Leen Slaets

Since Specialization
Citations

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

Fields of papers citing papers by Leen Slaets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leen Slaets

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

All Works

20 of 20 papers shown
1.
Kristyanto, Hendy, Leen Slaets, Ilse Scheys, et al.. (2024). Assessment of antibodies against platelet factor 4 following vaccination with adenovirus type 26–vectored vaccines. Journal of Thrombosis and Haemostasis. 22(12). 3532–3541. 1 indexed citations
2.
Pierson, Wim, Marianne Tuefferd, Florence Herschke, et al.. (2023). A single, oral dose of the TLR7 agonist JNJ-64794964 induces transcriptomic and phenotypic changes in peripheral immune cells in healthy adults. Antiviral Therapy. 28(3). 211898638–211898638.
3.
Hu, Yue, Edward Gane, Leen Slaets, et al.. (2023). Population pharmacokinetic/pharmacodynamic models of JNJ-64794964, a toll-like receptor 7 agonist, in healthy adult participants. Antiviral Therapy. 28(1). 211877386–211877386. 2 indexed citations
5.
Bonnefoi, Hervé, Gaëtan MacGrogan, Coralie Poncet, et al.. (2019). Molecular apocrine tumours in EORTC 10994/BIG 1-00 phase III study: pathological response after neoadjuvant chemotherapy and clinical outcomes. British Journal of Cancer. 120(9). 913–921. 13 indexed citations
6.
Makama, Maureen, Caroline A. Drukker, Emiel J. Rutgers, et al.. (2017). An association study of established breast cancer reproductive and lifestyle risk factors with tumour subtype defined by the prognostic 70-gene expression signature (MammaPrint ® ). European Journal of Cancer. 75. 5–13. 10 indexed citations
7.
Aalders, K.C., Marieke E. Straver, Leen Slaets, et al.. (2017). Characterisation of multifocal breast cancer using the 70-gene signature in clinical low-risk patients enrolled in the EORTC 10041/BIG 03-04 MINDACT trial. European Journal of Cancer. 79. 98–105. 10 indexed citations
8.
Poncet, Coralie, Leen Slaets, Giuseppe Viale, et al.. (2017). Not all small node negative (pT1abN0) breast cancers are similar: Outcome results from an EORTC 10041/BIG 3-04 (MINDACT) trial substudy. Annals of Oncology. 28. v606–v606. 2 indexed citations
9.
Viale, Giuseppe, Femke A. de Snoo, Leen Slaets, et al.. (2017). Immunohistochemical versus molecular (BluePrint and MammaPrint) subtyping of breast carcinoma. Outcome results from the EORTC 10041/BIG 3-04 MINDACT trial. Breast Cancer Research and Treatment. 167(1). 123–131. 45 indexed citations
11.
Vermeulen, Marijn A., Leen Slaets, Fátima Cardoso, et al.. (2017). Pathological characterisation of male breast cancer: Results of the EORTC 10085/TBCRC/BIG/NABCG International Male Breast Cancer Program. European Journal of Cancer. 82. 219–227. 68 indexed citations
12.
Touati, Nathan, Konstantinos Tryfonidis, Franco Caramia, et al.. (2016). Correlation between severe infection and breast cancer metastases in the EORTC 10994/BIG 1-00 trial: Investigating innate immunity as a tumor suppressor in breast cancer. Annals of Oncology. 27. vi79–vi79. 2 indexed citations
13.
Viale, Giuseppe, Leen Slaets, Femke A. de Snoo, et al.. (2016). Discordant assessment of tumor biomarkers by histopathological and molecular assays in the EORTC randomized controlled 10041/BIG 03-04 MINDACT trial breast cancer. Breast Cancer Research and Treatment. 155(3). 463–469. 16 indexed citations
16.
17.
Donker, Mila, R E Mansel, A. Helen Westenberg, et al.. (2014). Axillary Lymph Node Dissection vs Axillary Radiotherapy: A Detailed Analysis of Morbidity. Annals of Surgical Oncology. 21. 2–3. 4 indexed citations
18.
Tryfonidis, Konstantinos, Jan Bogaerts, Robert E. Martell, et al.. (2014). A phase III randomized trial of niraparib versus physician’s choice in previously treated, HER2-negative, germline-BRCA mutated breast cancer patients: Intergroup study EORTC-1307-BCG and BIG5-13.. Journal of Clinical Oncology. 32(15_suppl). TPS659–TPS659. 8 indexed citations
19.
Slaets, Leen, Gerda Claeskens, & Bernard W. Silverman. (2013). Warping Functional Data inRandCvia a Bayesian Multiresolution Approach. Journal of Statistical Software. 55(3). 1 indexed citations
20.
Slaets, Leen, Gerda Claeskens, & Bernard W. Silverman. (2010). Warping Functional Data in R and C via a Bayesian Multiresolution Approach. SSRN Electronic Journal. 2 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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