Bram De Laere

1.7k total citations
35 papers, 793 citations indexed

About

Bram De Laere is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Oncology. According to data from OpenAlex, Bram De Laere has authored 35 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 22 papers in Cancer Research and 16 papers in Oncology. Recurrent topics in Bram De Laere's work include Prostate Cancer Treatment and Research (25 papers), Cancer Genomics and Diagnostics (16 papers) and Prostate Cancer Diagnosis and Treatment (8 papers). Bram De Laere is often cited by papers focused on Prostate Cancer Treatment and Research (25 papers), Cancer Genomics and Diagnostics (16 papers) and Prostate Cancer Diagnosis and Treatment (8 papers). Bram De Laere collaborates with scholars based in Belgium, Sweden and Netherlands. Bram De Laere's co-authors include Luc Dirix, Steven Van Laere, Anieta M. Sieuwerts, Johan Lindberg, Henrik Grönberg, Marc Peeters, Dieter Peeters, Jaco Kraan, Martijn P. Lolkema and Paul Hamberg and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Bram De Laere

33 papers receiving 789 citations

Peers

Bram De Laere
Adam Jendrisak United States
Jessica Louw United States
Wendy Onstenk Netherlands
Penelope Flohr United Kingdom
Rita Gonzalez-Espinoza United States
Gretchen A. Gignac United States
John L. Silberstein United States
Bryce Lakely United States
Zuxiong Chen United States
Nader Al Nakouzi Canada
Adam Jendrisak United States
Bram De Laere
Citations per year, relative to Bram De Laere Bram De Laere (= 1×) peers Adam Jendrisak

Countries citing papers authored by Bram De Laere

Since Specialization
Citations

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

Fields of papers citing papers by Bram De Laere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bram De Laere. 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 Bram De Laere. The network helps show where Bram De Laere may publish in the future.

Co-authorship network of co-authors of Bram De Laere

This figure shows the co-authorship network connecting the top 25 collaborators of Bram De Laere. A scholar is included among the top collaborators of Bram De Laere 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 Bram De Laere. Bram De Laere 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.
Rusan, Maria, Marianne Bjerre, Jacob Fredsøe, et al.. (2025). Deep targeted sequencing of circulating tumor DNA to inform treatment in patients with metastatic castration-resistant prostate cancer. PubMed. 44(1). 120–120.
2.
3.
Sautois, Brieuc, Alessio Crippa, Ashkan Mortezavi, et al.. (2024). 1619P Efficacy of carboplatin in patients with metastatic castration-resistant prostate cancer: Results from the biomarker-driven, randomised, outcome-adaptive ProBio trial. Annals of Oncology. 35. S978–S978. 1 indexed citations
4.
Bjerre, Marianne, Jacob Fredsøe, Søren Vang, et al.. (2023). Prognostic Value of Low-Pass Whole Genome Sequencing of Circulating Tumor DNA in Metastatic Castration-Resistant Prostate Cancer. Clinical Chemistry. 69(4). 386–398. 19 indexed citations
5.
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
6.
Laere, Bram De, Alessio Crippa, Andrea Discacciati, et al.. (2022). Clinical Trial Protocol for ProBio: An Outcome-adaptive and Randomised Multiarm Biomarker-driven Study in Patients with Metastatic Prostate Cancer. European Urology Focus. 8(6). 1617–1621. 8 indexed citations
7.
Renaud, Gabriel, Johan Lindberg, Henrik Grönberg, et al.. (2022). Unsupervised detection of fragment length signatures of circulating tumor DNA using non-negative matrix factorization. eLife. 11. 9 indexed citations
8.
9.
Eecken, Kim Van der, Matthew P. Deek, Phuoc T. Tran, et al.. (2021). Tissue- and Blood-derived Genomic Biomarkers for Metastatic Hormone-sensitive Prostate Cancer: A Systematic Review. European Urology Oncology. 4(6). 914–923. 25 indexed citations
10.
Depypere, Lieven, Steffi Oeyen, Bram De Laere, et al.. (2021). Evaluation of a marker independent isolation method for circulating tumor cells in esophageal adenocarcinoma. PLoS ONE. 16(5). e0251052–e0251052. 11 indexed citations
11.
Crippa, Alessio, Bram De Laere, Andrea Discacciati, et al.. (2020). The ProBio trial: molecular biomarkers for advancing personalized treatment decision in patients with metastatic castration-resistant prostate cancer. Trials. 21(1). 579–579. 19 indexed citations
12.
Oeyen, Steffi, Vincent Liégeois, Bram De Laere, et al.. (2020). Automated enumeration and phenotypic characterization of CTCs and tdEVs in patients with metastatic castration resistant prostate cancer. Prostate Cancer and Prostatic Diseases. 24(2). 499–506. 13 indexed citations
13.
Brouwer, Anja, Bram De Laere, Pieter‐Jan van Dam, et al.. (2019). HER-2 status of circulating tumor cells in a metastatic breast cancer cohort: A comparative study on characterization techniques. PLoS ONE. 14(9). e0220906–e0220906. 9 indexed citations
14.
Dirix, Piet, et al.. (2018). EP-1597: Dose-escalation for early salvage radiotherapy in prostate cancer improves bDFS. Radiotherapy and Oncology. 127. S859–S860. 1 indexed citations
15.
Sumanasuriya, Semini, Aurelius Omlin, Andrew J. Armstrong, et al.. (2018). Consensus Statement on Circulating Biomarkers for Advanced Prostate Cancer. European Urology Oncology. 1(2). 151–159. 27 indexed citations
16.
Sieuwerts, Anieta M., Bianca Mostert, Michelle van der Vlugt‐Daane, et al.. (2018). An In-Depth Evaluation of the Validity and Logistics Surrounding the Testing of AR-V7 mRNA Expression in Circulating Tumor Cells. Journal of Molecular Diagnostics. 20(3). 316–325. 15 indexed citations
17.
McNair, Christopher, Kexin Xu, Amy C. Mandigo, et al.. (2017). Differential impact of RB status on E2F1 reprogramming in human cancer. Journal of Clinical Investigation. 128(1). 341–358. 70 indexed citations
18.
Laere, Bram De, Pieter‐Jan van Dam, Tom Whitington, et al.. (2017). Comprehensive Profiling of the Androgen Receptor in Liquid Biopsies from Castration-resistant Prostate Cancer Reveals Novel Intra-AR Structural Variation and Splice Variant Expression Patterns. European Urology. 72(2). 192–200. 96 indexed citations
19.
Onstenk, Wendy, Anieta M. Sieuwerts, Jaco Kraan, et al.. (2015). Efficacy of Cabazitaxel in Castration-resistant Prostate Cancer Is Independent of the Presence of AR-V7 in Circulating Tumor Cells. European Urology. 68(6). 939–945. 195 indexed citations
20.
Laere, Bram De, Dieter Peeters, Roberto Salgado, et al.. (2015). Exploring the intra-patient PIK3CA mutational heterogeneity of circulating tumour cells by massive parallel sequencing in patients with metastatic hormone receptor-positive breast cancer. Annals of Oncology. 26. iii15–iii15. 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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