G. Bea A. Wisman

4.7k total citations
94 papers, 3.4k citations indexed

About

G. Bea A. Wisman is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, G. Bea A. Wisman has authored 94 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 36 papers in Epidemiology and 25 papers in Oncology. Recurrent topics in G. Bea A. Wisman's work include Cervical Cancer and HPV Research (32 papers), Epigenetics and DNA Methylation (28 papers) and Cancer-related molecular mechanisms research (14 papers). G. Bea A. Wisman is often cited by papers focused on Cervical Cancer and HPV Research (32 papers), Epigenetics and DNA Methylation (28 papers) and Cancer-related molecular mechanisms research (14 papers). G. Bea A. Wisman collaborates with scholars based in Netherlands, United States and Belgium. G. Bea A. Wisman's co-authors include Ate G.J. van der Zee, Ed Schuuring, Harry Hollema, Steven de Jong, Harry Klip, Geertruida H. de Bock, Jasper J.H. Eijsink, Elisabeth G.E. de Vries, Haukeline H. Volders and Ate G.J. van der Zee and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

G. Bea A. Wisman

92 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. Bea A. Wisman Netherlands	38	1.8k	1.2k	868	719	483	94	3.4k
Wa Xian United States	31	1.5k 0.9×	524 0.4×	774 0.9×	658 0.9×	317 0.7×	59	3.7k
Antonella Ravaggi Italy	34	783 0.4×	875 0.7×	833 1.0×	421 0.6×	967 2.0×	104	3.3k
Andreas Widschwendter Austria	24	1.3k 0.7×	692 0.6×	488 0.6×	480 0.7×	163 0.3×	56	2.2k
Barry M. Kacinski United States	40	1.6k 0.9×	558 0.5×	1.3k 1.5×	473 0.7×	1.2k 2.5×	94	4.1k
Eliana Bignotti Italy	27	754 0.4×	207 0.2×	578 0.7×	456 0.6×	337 0.7×	67	2.3k
Alfredo Perales‐Puchalt United States	26	999 0.6×	331 0.3×	1.1k 1.3×	282 0.4×	1.4k 2.9×	71	2.9k
Julie A. DeLoia United States	30	1.2k 0.7×	199 0.2×	812 0.9×	428 0.6×	670 1.4×	63	2.9k
Elke A. Jarboe United States	27	635 0.4×	371 0.3×	537 0.6×	283 0.4×	235 0.5×	70	2.5k
Raghwa Sharma Australia	22	991 0.6×	262 0.2×	1.3k 1.5×	388 0.5×	446 0.9×	47	2.4k
Qian Zhan China	28	2.2k 1.3×	401 0.3×	2.2k 2.6×	1.2k 1.7×	766 1.6×	75	4.2k

Countries citing papers authored by G. Bea A. Wisman

Since Specialization

Citations

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

Fields of papers citing papers by G. Bea A. Wisman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Bea A. Wisman. 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 G. Bea A. Wisman. The network helps show where G. Bea A. Wisman may publish in the future.

Co-authorship network of co-authors of G. Bea A. Wisman

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

All Works

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20 of 20 papers shown

Everts, Marieke, Arkajyoti Bhattacharya, Shibo Yu, et al.. (2025). MYC controls STING levels to downregulate inflammatory signaling in breast cancer cells upon DNA damage. Journal of Biological Chemistry. 301(6). 108560–108560.

Vermeulen, Karin M., Antoinette D. I. van Asselt, Ed Schuuring, et al.. (2025). Molecular Testing as Triage in Cervical Cancer Screening: Economic Evaluation Using Headroom Analysis. Cancers. 17(4). 612–612.

Bhattacharya, Arkajyoti, Marieke T. de Boer, Bettien M. van Hemel, et al.. (2023). Identification of a methylation panel as an alternative triage to detect CIN3+ in hrHPV-positive self-samples from the population-based cervical cancer screening programme. Clinical Epigenetics. 15(1). 103–103. 7 indexed citations

Fernández, Marta Llauradó, E. Marielle Hijmans, Annemiek M.C. Gennissen, et al.. (2022). NOTCH Signaling Limits the Response of Low-Grade Serous Ovarian Cancers to MEK Inhibition. Molecular Cancer Therapeutics. 21(12). 1862–1874. 9 indexed citations

Wisman, G. Bea A., et al.. (2021). Preferences and Experiences Regarding the Use of the Self-Sampling Device in hrHPV Screening for Cervical Cancer. Patient. 15(2). 245–253. 3 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

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

Komdeur, Fenne L., Thalina M. Prins, Stephanie van de Wall, et al.. (2017). CD103+ tumor-infiltrating lymphocytes are tumor-reactive intraepithelial CD8+ T cells associated with prognostic benefit and therapy response in cervical cancer. OncoImmunology. 6(9). e1338230–e1338230. 129 indexed citations

Wouters, Maartje C.A., Fenne L. Komdeur, Hagma H. Workel, et al.. (2015). Treatment Regimen, Surgical Outcome, and T-cell Differentiation Influence Prognostic Benefit of Tumor-Infiltrating Lymphocytes in High-Grade Serous Ovarian Cancer. Clinical Cancer Research. 22(3). 714–724. 56 indexed citations

10.

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

11.

Brait, Mariana, Leonel Maldonado, Maartje Noordhuis, et al.. (2013). Correction: Association of Promoter Methylation of VGF and PGP9.5 with Ovarian Cancer Progression. PLoS ONE. 8(10). 4 indexed citations

12.

Huisman, Christian, G. Bea A. Wisman, Hinke G. Kazemier, et al.. (2013). Functional validation of putative tumor suppressor gene C13ORF18 in cervical cancer by Artificial Transcription Factors. Molecular Oncology. 7(3). 669–679. 37 indexed citations

13.

Noordhuis, Maartje, Klaske A. ten Hoor, Lorian Slagter‐Menkema, et al.. (2012). The role of ATM and 53BP1 as predictive markers in cervical cancer. International Journal of Cancer. 131(9). 2056–2066. 33 indexed citations

14.

Noordhuis, Maartje, Rudolf S.N. Fehrmann, G. Bea A. Wisman, et al.. (2011). Involvement of the TGF-β and β-Catenin Pathways in Pelvic Lymph Node Metastasis in Early-Stage Cervical Cancer. Clinical Cancer Research. 17(6). 1317–1330. 105 indexed citations

15.

Smits, Kim M., Pauline de Graeff, G. Bea A. Wisman, et al.. (2010). Loss of SerpinA5 protein expression is associated with advanced-stage serous ovarian tumors. Modern Pathology. 24(3). 463–470. 28 indexed citations

16.

Noordhuis, Maartje, Jasper J.H. Eijsink, Klaske A. ten Hoor, et al.. (2009). Expression of Epidermal Growth Factor Receptor (EGFR) and Activated EGFR Predict Poor Response to (Chemo)radiation and Survival in Cervical Cancer. Clinical Cancer Research. 15(23). 7389–7397. 92 indexed citations

17.

Yang, Nan, Jasper J.H. Eijsink, Ágnes Lendvai, et al.. (2009). Methylation Markers for CCNA1 and C13ORF18 Are Strongly Associated with High-Grade Cervical Intraepithelial Neoplasia and Cervical Cancer in Cervical Scrapings. Cancer Epidemiology Biomarkers & Prevention. 18(11). 3000–3007. 55 indexed citations

18.

Hoque, Mohammad Obaidul, Myoung Sook Kim, Kimberly Laskie Ostrow, et al.. (2008). Genome-Wide Promoter Analysis Uncovers Portions of the Cancer Methylome. Cancer Research. 68(8). 2661–2670. 115 indexed citations

19.

Nijhuis, Esther R., Nathalie Reesink‐Peters, G. Bea A. Wisman, et al.. (2006). An Overview of Innovative Techniques to Improve Cervical Cancer Screening. Analytical Cellular Pathology. 28(5-6). 233–246. 14 indexed citations

20.

Reesink‐Peters, Nathalie, Marco N. Helder, G. Bea A. Wisman, et al.. (2002). Detection of telomerase, its components, and human papillomavirus in cervical scrapings as a tool for triage in women with cervical dysplasia. Journal of Clinical Pathology. 56(1). 31–35. 32 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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