Lise M.A. De Strooper

917 total citations
14 papers, 705 citations indexed

About

Lise M.A. De Strooper is a scholar working on Epidemiology, Molecular Biology and Cancer Research. According to data from OpenAlex, Lise M.A. De Strooper has authored 14 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 7 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Lise M.A. De Strooper's work include Cervical Cancer and HPV Research (14 papers), Cancer-related molecular mechanisms research (6 papers) and Epigenetics and DNA Methylation (5 papers). Lise M.A. De Strooper is often cited by papers focused on Cervical Cancer and HPV Research (14 papers), Cancer-related molecular mechanisms research (6 papers) and Epigenetics and DNA Methylation (5 papers). Lise M.A. De Strooper collaborates with scholars based in Netherlands, Denmark and Germany. Lise M.A. De Strooper's co-authors include Chris J.L.M. Meijer, Daniëlle A.M. Heideman, Renske D.M. Steenbergen, Peter J.F. Snijders, Johannes Berkhof, Albertus T. Hesselink, Birgit I. Lissenberg‐Witte, G. Bea A. Wisman, Roosmarijn Luttmer and Folkert J. van Kemenade and has published in prestigious journals such as Clinical Cancer Research, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

Lise M.A. De Strooper

14 papers receiving 697 citations

Peers

Lise M.A. De Strooper

EPIDE

SURGE

ONCOL

Florianne E Henken Netherlands

Elizabeth Vallikad India

Barbara C. Snoek Netherlands

Suzanne Bergen United States

Annika K. Lindström Sweden

Nobumaru Hirao Japan

E. McGuinness Ireland

Paola Migliora Italy

Hongchao Xiong China

Chenhao Zhou Australia

Florianne E Henken Netherlands

Lise M.A. De Strooper

193 ×0.3

EPIDE

354 ×1.2

46 ×0.2

SURGE

248 ×1.4

60 ×0.5

ONCOL

Citations per year, relative to Lise M.A. De Strooper Lise M.A. De Strooper (= 1×) peers Florianne E Henken

Countries citing papers authored by Lise M.A. De Strooper

Since Specialization

Citations

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

Fields of papers citing papers by Lise M.A. De Strooper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lise M.A. De Strooper. 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 Lise M.A. De Strooper. The network helps show where Lise M.A. De Strooper may publish in the future.

Co-authorship network of co-authors of Lise M.A. De Strooper

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

All Works

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14 of 14 papers shown

Heideman, Daniëlle A.M., Lise M.A. De Strooper, Renske D.M. Steenbergen, et al.. (2021). Classification of high‐grade cervical intraepithelial neoplasia by p16^ink4a, Ki‐67, HPV E4 and FAM19A4/miR124‐2 methylation status demonstrates considerable heterogeneity with potential consequences for management. International Journal of Cancer. 149(3). 707–716. 27 indexed citations

Strooper, Lise M.A. De, Roosmarijn Luttmer, Maaike C.G. Bleeker, et al.. (2019). Complementarity between miRNA expression analysis and DNA methylation analysis in hrHPV-positive cervical scrapes for the detection of cervical disease. Epigenetics. 14(6). 558–567. 8 indexed citations

Strooper, Lise M.A. De, Birgit I. Lissenberg‐Witte, Renske D.M. Steenbergen, et al.. (2019). Long-term CIN3+ risk of HPV positive women after triage with FAM19A4/miR124-2 methylation analysis. Gynecologic Oncology. 154(2). 368–373. 37 indexed citations

Ebisch, Renée M.F., Remko P. Bosgraaf, David Jenkins, et al.. (2018). Defining hrHPV genotypes in cervical intraepithelial neoplasia by laser capture microdissection supports reflex triage of self-samples using HPV16/18 and FAM19A4/miR124-2 methylation. Gynecologic Oncology. 151(2). 311–318. 8 indexed citations

Strooper, Lise M.A. De, Johannes Berkhof, Renske D.M. Steenbergen, et al.. (2018). Cervical cancer risk in HPV‐positive women after a negative FAM19A4/mir124‐2 methylation test: A post hoc analysis in the POBASCAM trial with 14 year follow‐up. International Journal of Cancer. 143(6). 1541–1548. 77 indexed citations

Verlaat, Wina, Peter J.F. Snijders, Putri W. Novianti, et al.. (2017). Genome-wide DNA Methylation Profiling Reveals Methylation Markers Associated with 3q Gain for Detection of Cervical Precancer and Cancer. Clinical Cancer Research. 23(14). 3813–3822. 67 indexed citations

Zummeren, Marjolein van, Karin Richter, Lawrence Rozendaal, et al.. (2017). Selection of women at risk for cervical cancer in an HIV-infected South African population. AIDS. 31(14). 1945–1953. 14 indexed citations

Luttmer, Roosmarijn, Lise M.A. De Strooper, Maaike G. Dijkstra, et al.. (2016). FAM19A4 methylation analysis in self-samples compared with cervical scrapes for detecting cervical (pre)cancer in HPV-positive women. British Journal of Cancer. 115(5). 579–587. 55 indexed citations

Strooper, Lise M.A. De, Viola M.J. Verhoef, Johannes Berkhof, et al.. (2016). Validation of the FAM19A4 / mir124-2 DNA methylation test for both lavage- and brush-based self-samples to detect cervical (pre)cancer in HPV-positive women. Gynecologic Oncology. 141(2). 341–347. 85 indexed citations

10.

Luttmer, Roosmarijn, Lise M.A. De Strooper, Renske D.M. Steenbergen, et al.. (2016). Management of high-risk HPV-positive women for detection of cervical (pre)cancer. Expert Review of Molecular Diagnostics. 16(9). 961–974. 47 indexed citations

11.

Luttmer, Roosmarijn, Lise M.A. De Strooper, Johannes Berkhof, et al.. (2015). Comparing the performance of FAM19A4 methylation analysis, cytology and HPV16/18 genotyping for the detection of cervical (pre)cancer in high‐risk HPV‐positive women of a gynecologic outpatient population (COMETH study). International Journal of Cancer. 138(4). 992–1002. 60 indexed citations

12.

Strooper, Lise M.A. De, Marjolein van Zummeren, Renske D.M. Steenbergen, et al.. (2014). CADM1 , MAL and miR124-2 methylation analysis in cervical scrapes to detect cervical and endometrial cancer. Journal of Clinical Pathology. 67(12). 1067–1071. 79 indexed citations

13.

Strooper, Lise M.A. De, Albertus T. Hesselink, Johannes Berkhof, et al.. (2014). Combined CADM1/MAL Methylation and Cytology Testing for Colposcopy Triage of High-Risk HPV-Positive Women. Cancer Epidemiology Biomarkers & Prevention. 23(9). 1933–1937. 38 indexed citations

14.

Strooper, Lise M.A. De, Chris J.L.M. Meijer, Johannes Berkhof, et al.. (2014). Methylation Analysis of the FAM19A4 Gene in Cervical Scrapes Is Highly Efficient in Detecting Cervical Carcinomas and Advanced CIN2/3 Lesions. Cancer Prevention Research. 7(12). 1251–1257. 103 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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