Wina Verlaat

867 total citations
10 papers, 562 citations indexed

About

Wina Verlaat is a scholar working on Epidemiology, Molecular Biology and Cancer Research. According to data from OpenAlex, Wina Verlaat has authored 10 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Wina Verlaat's work include Cervical Cancer and HPV Research (8 papers), Cancer-related molecular mechanisms research (4 papers) and Epigenetics and DNA Methylation (4 papers). Wina Verlaat is often cited by papers focused on Cervical Cancer and HPV Research (8 papers), Cancer-related molecular mechanisms research (4 papers) and Epigenetics and DNA Methylation (4 papers). Wina Verlaat collaborates with scholars based in Netherlands, United States and Belgium. Wina Verlaat's co-authors include Saskia M. Wilting, Renske D.M. Steenbergen, Peter J.F. Snijders, Chris J.L.M. Meijer, Mark A. van de Wiel, Wessel N. van Wieringen, Daniëlle A.M. Heideman, Annelieke Jaspers, Reuven Agami and Putri W. Novianti and has published in prestigious journals such as Oncogene, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Wina Verlaat

10 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wina Verlaat Netherlands	10	351	281	254	82	54	10	562
Barbara C. Snoek Netherlands	12	206 0.6×	129 0.5×	139 0.5×	50 0.6×	51 0.9×	17	331
Imelda Martínez-Ramírez Mexico	7	180 0.5×	120 0.4×	116 0.5×	41 0.5×	65 1.2×	11	314
Veronika Holubeková Slovakia	13	241 0.7×	197 0.7×	81 0.3×	26 0.3×	93 1.7×	32	469
Shitong Lin China	15	205 0.6×	120 0.4×	80 0.3×	58 0.7×	143 2.6×	35	466
Irene Tveiterås Øvestad Norway	11	90 0.3×	79 0.3×	222 0.9×	113 1.4×	90 1.7×	17	375
D Bonifacio Italy	10	228 0.6×	144 0.5×	160 0.6×	40 0.5×	98 1.8×	12	405
Juan Zhao China	12	227 0.6×	121 0.4×	75 0.3×	36 0.4×	81 1.5×	34	477
Anant Karalak Thailand	13	121 0.3×	66 0.2×	214 0.8×	97 1.2×	126 2.3×	33	406
Gabriela Sofía Gómez-Macias Mexico	8	114 0.3×	111 0.4×	78 0.3×	34 0.4×	81 1.5×	28	260
Xiaoqian Tuo China	13	162 0.5×	72 0.3×	81 0.3×	24 0.3×	73 1.4×	20	356

Countries citing papers authored by Wina Verlaat

Since Specialization

Citations

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

Fields of papers citing papers by Wina Verlaat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wina Verlaat

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

All Works

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10 of 10 papers shown

Snoek, Barbara C., Annina P. van Splunter, Maaike C.G. Bleeker, et al.. (2019). Cervical cancer detection by DNA methylation analysis in urine. Scientific Reports. 9(1). 3088–3088. 33 indexed citations

Verlaat, Wina, Barbara C. Snoek, Daniëlle A.M. Heideman, et al.. (2018). Identification and Validation of a 3-Gene Methylation Classifier for HPV-Based Cervical Screening on Self-Samples. Clinical Cancer Research. 24(14). 3456–3464. 57 indexed citations

Verlaat, Wina, Putri W. Novianti, Ed Schuuring, et al.. (2018). Host-cell DNA methylation patterns during high-risk HPV-induced carcinogenesis reveal a heterogeneous nature of cervical pre-cancer. Epigenetics. 13(7). 769–778. 41 indexed citations

Snoek, Barbara C., Wina Verlaat, Putri W. Novianti, et al.. (2018). Genome‐wide microRNA analysis of HPV‐positive self‐samples yields novel triage markers for early detection of cervical cancer. International Journal of Cancer. 144(2). 372–379. 30 indexed citations

Zummeren, Marjolein van, Putri W. Novianti, Karin Richter, et al.. (2018). Detection of hypermethylated genes as markers for cervical screening in women living with HIV. Journal of the International AIDS Society. 21(8). e25165–e25165. 18 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

Verlaat, Wina, Peter J.F. Snijders, Maaike C.G. Bleeker, et al.. (2015). Somatic mutation in PIK3CA is a late event in cervical carcinogenesis. The Journal of Pathology Clinical Research. 1(4). 207–211. 29 indexed citations

Wiel, Mark A. van de, Tonje G. Lien, Wina Verlaat, Wessel N. van Wieringen, & Saskia M. Wilting. (2015). Better prediction by use of co‐data: adaptive group‐regularized ridge regression. Statistics in Medicine. 35(3). 368–381. 74 indexed citations

Wilting, Saskia M., Wina Verlaat, Annelieke Jaspers, et al.. (2013). Methylation-mediated transcriptional repression of microRNAs during cervical carcinogenesis. Epigenetics. 8(2). 220–228. 65 indexed citations

10.

Wilting, Saskia M., Peter J.F. Snijders, Wina Verlaat, et al.. (2012). Altered microRNA expression associated with chromosomal changes contributes to cervical carcinogenesis. Oncogene. 32(1). 106–116. 148 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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