Anco Molijn

5.2k total citations · 1 hit paper
57 papers, 3.4k citations indexed

About

Anco Molijn is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Anco Molijn has authored 57 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Epidemiology, 20 papers in Surgery and 19 papers in Molecular Biology. Recurrent topics in Anco Molijn's work include Cervical Cancer and HPV Research (40 papers), Genital Health and Disease (16 papers) and Reproductive tract infections research (14 papers). Anco Molijn is often cited by papers focused on Cervical Cancer and HPV Research (40 papers), Genital Health and Disease (16 papers) and Reproductive tract infections research (14 papers). Anco Molijn collaborates with scholars based in Netherlands, United States and Belgium. Anco Molijn's co-authors include Wim Quint, Leen‐Jan van Doorn, Bernhard Kleter, J. Lindeman, B Kleter, David Jenkins, Brigitte Colau, Bram ter Harmsel, Lianne Schrauwen and S H Sastrowijoto and has published in prestigious journals such as Nucleic Acids Research, The EMBO Journal and PLoS ONE.

In The Last Decade

Anco Molijn

56 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Development and Clinical Evaluation of a Highly Sensitive PCR-Reverse Hybridization Line Probe Assay for Detection and Identification of Anogenital Human Papillomavirus

1999 549 citations Bernhard Kleter, Leen‐Jan van Doorn et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anco Molijn Netherlands	30	2.6k	1.1k	1.1k	522	421	57	3.4k
Ruediger Ridder Germany	26	2.6k 1.0×	1.4k 1.2×	866 0.8×	870 1.7×	238 0.6×	36	3.4k
Albertus T. Hesselink Netherlands	33	2.9k 1.1×	1.5k 1.3×	1.3k 1.2×	754 1.4×	522 1.2×	52	3.8k
Cheri L. Peyton United States	14	2.7k 1.0×	1.3k 1.1×	889 0.8×	354 0.7×	426 1.0×	17	3.0k
Belén Lloveras Spain	29	1.7k 0.7×	1.3k 1.2×	460 0.4×	728 1.4×	182 0.4×	84	2.8k
Ciarán Woodman United Kingdom	23	1.8k 0.7×	816 0.7×	660 0.6×	700 1.3×	258 0.6×	46	2.7k
Annarosa Del Mistro Italy	33	2.9k 1.1×	1.5k 1.3×	618 0.6×	1.1k 2.1×	449 1.1×	106	4.2k
Christine Clavel France	32	3.6k 1.4×	1.8k 1.6×	1.0k 1.0×	1.4k 2.7×	469 1.1×	83	5.2k
Svetlana Vinokurova Russia	24	1.7k 0.6×	621 0.6×	792 0.7×	524 1.0×	146 0.3×	54	2.2k
Mina Kalantari United States	31	1.8k 0.7×	645 0.6×	856 0.8×	382 0.7×	276 0.7×	48	2.5k
B Hagmar Sweden	36	1.9k 0.7×	931 0.8×	907 0.8×	825 1.6×	295 0.7×	115	3.5k

Countries citing papers authored by Anco Molijn

Since Specialization

Citations

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

Fields of papers citing papers by Anco Molijn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anco Molijn

This figure shows the co-authorship network connecting the top 25 collaborators of Anco Molijn. A scholar is included among the top collaborators of Anco Molijn 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 Anco Molijn. Anco Molijn 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

Bleeker, Maaike C.G., Nicole J. Polman, Renske D.M. Steenbergen, et al.. (2024). Colposcopy referrals and CIN3 detection after triage by host cell DNA methylation and/or HPV genotyping in HPV positive women with low‐grade cytology from a population‐based Dutch primary HPV screening trial. International Journal of Cancer. 156(5). 1065–1073. 2 indexed citations

Zanden, Moniek van der, et al.. (2023). Bacterial vaginosis in a subfertile population undergoing fertility treatments: a prospective cohort study. Journal of Assisted Reproduction and Genetics. 41(2). 441–450. 6 indexed citations

Aitken, Clare A., Federica Inturrisi, Daan Nieboer, et al.. (2022). Sociodemographic Characteristics and Screening Outcomes of Women Preferring Self-Sampling in the Dutch Cervical Cancer Screening Programme: A Population-Based Study. Cancer Epidemiology Biomarkers & Prevention. 32(2). 183–192. 17 indexed citations

Bleeker, Maaike C.G., Nicole J. Polman, Renske D.M. Steenbergen, et al.. (2021). Performance of DNA methylation analysis of ASCL1, LHX8, ST6GALNAC5, GHSR, ZIC1 and SST for the triage of HPV‐positive women: Results from a Dutch primary HPV‐based screening cohort. International Journal of Cancer. 150(3). 440–449. 24 indexed citations

Lamont, Ronnie, Saskia le Cessie, Ed J. Kuijper, et al.. (2021). Developing an algorithm for the diagnosis of abnormal vaginal discharge in a dutch clinical setting: a pilot study. Diagnostic Microbiology and Infectious Disease. 101(1). 115431–115431. 2 indexed citations

Aitken, Clare A., Heleen M.E. van Agt, Albert G. Siebers, et al.. (2019). Introduction of primary screening using high-risk HPV DNA detection in the Dutch cervical cancer screening programme: a population-based cohort study. BMC Medicine. 17(1). 98 indexed citations

Boers, Kim, Ronnie Lamont, René te Witt, et al.. (2019). Comparison of Amsel criteria, Nugent score, culture and two CE-IVD marked quantitative real-time PCRs with microbiota analysis for the diagnosis of bacterial vaginosis. European Journal of Clinical Microbiology & Infectious Diseases. 38(5). 959–966. 34 indexed citations

Chen, Wen, Anco Molijn, Liang Zeng, et al.. (2018). The Variable Characteristics of Human Papillomavirus in Squamous Cell Carcinoma and Adenocarcinoma of Cervix in China. Journal of Lower Genital Tract Disease. 22(4). 355–361. 21 indexed citations

Boers, Ruben, Joachim Boers, Christel Kockx, et al.. (2017). Genome-wide DNA methylation profiling using the methylation-dependent restriction enzyme LpnPI. Genome Research. 28(1). 88–99. 56 indexed citations

10.

Baalbergen, Astrid, Anco Molijn, Wim Quint, Frank Smedts, & Theo J.M. Helmerhorst. (2015). Conservative Treatment Seems the Best Choice in Adenocarcinoma In Situ of the Cervix Uteri. Journal of Lower Genital Tract Disease. 19(3). 239–243. 14 indexed citations

11.

Harley, Ian, et al.. (2015). A Rare Case of HPV-Negative Cervical Squamous Cell Carcinoma. International Journal of Gynecological Pathology. 34(2). 208–212. 21 indexed citations

12.

Pimenoff, Ville N., Sara Tous, Omar Clavero, et al.. (2015). Disagreement in high-grade/low-grade intraepithelial neoplasia and high-risk/low-risk HPV infection: clinical implications for anal cancer precursor lesions in HIV-positive and HIV-negative MSM. Clinical Microbiology and Infection. 21(6). 605.e11–605.e19. 19 indexed citations

13.

Geraets, D.T., Linda Struijk, Bernhard Kleter, et al.. (2015). The original SPF10 LiPA25 algorithm is more sensitive and suitable for epidemiologic HPV research than the SPF10 INNO-LiPA Extra. Journal of Virological Methods. 215-216. 22–29. 34 indexed citations

14.

Pirog, Edyta C., Belén Lloveras, Anco Molijn, et al.. (2014). HPV prevalence and genotypes in different histological subtypes of cervical adenocarcinoma, a worldwide analysis of 760 cases. Modern Pathology. 27(12). 1559–1567. 155 indexed citations

15.

Vintermyr, Olav Karsten, Ole Erik Iversen, Wim Quint, et al.. (2014). Recurrent high-grade cervical lesion after primary conization is associated with persistent human papillomavirus infection in Norway. Gynecologic Oncology. 133(2). 159–166. 18 indexed citations

16.

Sykes, Peter, Kusuma Gopala, Ai Ling Tan, et al.. (2014). Type distribution of human papillomavirus among adult women diagnosed with invasive cervical cancer (stage 1b or higher) in New Zealand. BMC Infectious Diseases. 14(1). 374–374. 9 indexed citations

17.

Quek, Swee Chong, Efrén Javier Domingo, Jong Sup Park, et al.. (2012). Human Papillomavirus Type Distribution in Invasive Cervical Cancer and High-Grade Cervical Intraepithelial Neoplasia Across 5 Countries in Asia. International Journal of Gynecological Cancer. 23(1). 148–156. 51 indexed citations

18.

Brøndbo, Kjell, Hanna Dahlstrand, Tapio Luostarinen, et al.. (2007). Alcohol, smoking and human papillomavirus in laryngeal carcinoma: a Nordic prospective multicenter study. Journal of Cancer Research and Clinical Oncology. 133(9). 673–678. 42 indexed citations

19.

Molijn, Anco, B Kleter, Wim Quint, & Leen‐Jan van Doorn. (2005). Molecular diagnosis of human papillomavirus (HPV) infections. Journal of Clinical Virology. 32. 43–51. 236 indexed citations

20.

Kos, Ton, Anco Molijn, Leen‐Jan van Doorn, et al.. (1991). Hepatitis delta virus cDNA sequence from an acutely HBV‐infected chimpanzee: Sequence conservation in experimental animals. Journal of Medical Virology. 34(4). 268–279. 22 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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