Miekel van de Sandt

536 total citations
8 papers, 406 citations indexed

About

Miekel van de Sandt is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Miekel van de Sandt has authored 8 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Miekel van de Sandt's work include Cervical Cancer and HPV Research (8 papers), Genital Health and Disease (3 papers) and Molecular Biology Techniques and Applications (2 papers). Miekel van de Sandt is often cited by papers focused on Cervical Cancer and HPV Research (8 papers), Genital Health and Disease (3 papers) and Molecular Biology Techniques and Applications (2 papers). Miekel van de Sandt collaborates with scholars based in Netherlands, United States and United Kingdom. Miekel van de Sandt's co-authors include Wim Quint, David Jenkins, John Doorbar, Anco Molijn, Linda Struijk, Karin Hardt, Frank Struyf, Johann Mols, Brigitte Colau and J. Lindeman and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, International Journal of Cancer and The American Journal of Surgical Pathology.

In The Last Decade

Miekel van de Sandt

7 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miekel van de Sandt Netherlands 7 371 201 102 65 47 8 406
Romy van Baars Netherlands 11 348 0.9× 130 0.6× 116 1.1× 61 0.9× 28 0.6× 14 384
Gabriella Lillsunde‐Larsson Sweden 10 309 0.8× 160 0.8× 82 0.8× 41 0.6× 42 0.9× 32 382
Maëlle Saunier France 9 400 1.1× 223 1.1× 139 1.4× 69 1.1× 36 0.8× 11 480
Anja Oštrbenk Slovenia 13 450 1.2× 176 0.9× 217 2.1× 101 1.6× 44 0.9× 24 492
Jesse Ho United States 8 423 1.1× 221 1.1× 73 0.7× 99 1.5× 26 0.6× 8 448
S. Menton Germany 5 526 1.4× 246 1.2× 161 1.6× 61 0.9× 42 0.9× 6 601
Sylvain Monnier‐Benoit France 10 326 0.9× 166 0.8× 110 1.1× 65 1.0× 51 1.1× 13 441
Maaike G. Dijkstra Netherlands 13 565 1.5× 258 1.3× 125 1.2× 92 1.4× 60 1.3× 14 667
Cornelia Scheungraber Germany 10 239 0.6× 110 0.5× 101 1.0× 30 0.5× 73 1.6× 20 334
Matthias Duerst Germany 4 331 0.9× 98 0.5× 125 1.2× 31 0.5× 44 0.9× 4 365

Countries citing papers authored by Miekel van de Sandt

Since Specialization
Citations

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

Fields of papers citing papers by Miekel van de Sandt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miekel van de Sandt. 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 Miekel van de Sandt. The network helps show where Miekel van de Sandt may publish in the future.

Co-authorship network of co-authors of Miekel van de Sandt

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

All Works

8 of 8 papers shown
1.
Jenkins, David, Mark H. Stoler, Miekel van de Sandt, et al.. (2025). p16INK4a and HPV E4 immunohistochemistry for the prediction of regression of cervical intraepithelial neoplasia grade 2—A historical cohort study. International Journal of Cancer. 157(7). 1294–1303.
2.
Jenkins, David, Mark H. Stoler, Maurits de Koning, et al.. (2024). Human papillomavirus genotypes and risk of persistence and progression in women undergoing active surveillance for cervical intraepithelial neoplasia grade 2. American Journal of Obstetrics and Gynecology. 230(6). 655.e1–655.e10. 10 indexed citations
3.
Zummeren, Marjolein van, Maaike C.G. Bleeker, David Jenkins, et al.. (2018). Three-tiered score for Ki-67 and p16 ink4a improves accuracy and reproducibility of grading CIN lesions. Journal of Clinical Pathology. 71(11). 981–988. 34 indexed citations
4.
Zummeren, Marjolein van, Maaike C.G. Bleeker, David Jenkins, et al.. (2018). HPV E4 expression and DNA hypermethylation of CADM1, MAL, and miR124-2 genes in cervical cancer and precursor lesions. Modern Pathology. 31(12). 1842–1850. 41 indexed citations
5.
Griffin, Heather, Yasmina Soneji, Romy van Baars, et al.. (2015). Stratification of HPV-induced cervical pathology using the virally encoded molecular marker E4 in combination with p16 or MCM. Modern Pathology. 28(7). 977–993. 57 indexed citations
6.
Marel, J. van der, Romy van Baars, I. Alonso, et al.. (2014). Oncogenic Human Papillomavirus–infected Immature Metaplastic Cells and Cervical Neoplasia. The American Journal of Surgical Pathology. 38(4). 470–479. 25 indexed citations
7.
Guimerà, Núria, Belén Lloveras, J. Lindeman, et al.. (2013). The Occasional Role of Low-risk Human Papillomaviruses 6, 11, 42, 44, and 70 in Anogenital Carcinoma Defined by Laser Capture Microdissection/PCR Methodology. The American Journal of Surgical Pathology. 37(9). 1299–1310. 83 indexed citations
8.
Quint, Wim, David Jenkins, Anco Molijn, et al.. (2011). One virus, one lesion—individual components of CIN lesions contain a specific HPV type. The Journal of Pathology. 227(1). 62–71. 156 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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2026