Mathilde E. Boon

3.5k total citations
115 papers, 2.5k citations indexed

About

Mathilde E. Boon is a scholar working on Epidemiology, Microbiology and Surgery. According to data from OpenAlex, Mathilde E. Boon has authored 115 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Epidemiology, 27 papers in Microbiology and 22 papers in Surgery. Recurrent topics in Mathilde E. Boon's work include Cervical Cancer and HPV Research (61 papers), Reproductive tract infections research (26 papers) and AI in cancer detection (13 papers). Mathilde E. Boon is often cited by papers focused on Cervical Cancer and HPV Research (61 papers), Reproductive tract infections research (26 papers) and AI in cancer detection (13 papers). Mathilde E. Boon collaborates with scholars based in Netherlands, United States and Canada. Mathilde E. Boon's co-authors include Lambrecht P. Kok, R.W. Veldhuizen, E. C. M. Ooms, C.L. Alons, L. P. Kok, Albert J.H. Suurmeijer, Winston A. Anderson, P.H.J. Kurver, J. P. A. Baak and Anders Hjerpe and has published in prestigious journals such as Cancer, American Journal of Obstetrics and Gynecology and International Journal of Cancer.

In The Last Decade

Mathilde E. Boon

110 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathilde E. Boon Netherlands 28 1.1k 647 564 380 365 115 2.5k
Mote Mitchell United States 31 1.4k 1.3× 625 1.0× 836 1.5× 566 1.5× 136 0.4× 77 3.6k
Karen Adler‐Storthz United States 30 1.1k 1.0× 522 0.8× 621 1.1× 727 1.9× 85 0.2× 94 2.7k
Mary R. Schwartz United States 30 1.3k 1.2× 1.1k 1.7× 579 1.0× 1.1k 2.8× 141 0.4× 128 3.5k
Stefan E. Pambuccian United States 35 1.1k 1.1× 1.4k 2.2× 1.3k 2.4× 1.7k 4.5× 190 0.5× 213 5.5k
Prabodh K. Gupta United States 34 1.0k 1.0× 1.8k 2.8× 560 1.0× 953 2.5× 85 0.2× 139 4.3k
Marc Baay Belgium 28 1.1k 1.0× 450 0.7× 640 1.1× 934 2.5× 186 0.5× 89 2.6k
Thomas A. Bonfiglio United States 33 600 0.6× 557 0.9× 488 0.9× 548 1.4× 36 0.1× 69 2.9k
Mario Sideri Italy 34 2.8k 2.6× 1.6k 2.5× 458 0.8× 855 2.3× 326 0.9× 108 4.2k
Anna S. Kadish United States 26 1.9k 1.8× 664 1.0× 570 1.0× 526 1.4× 310 0.8× 64 2.8k
Bo Johansson Sweden 27 1.8k 1.7× 608 0.9× 765 1.4× 342 0.9× 297 0.8× 79 2.7k

Countries citing papers authored by Mathilde E. Boon

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde E. Boon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathilde E. Boon. 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 Mathilde E. Boon. The network helps show where Mathilde E. Boon may publish in the future.

Co-authorship network of co-authors of Mathilde E. Boon

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

All Works

20 of 20 papers shown
1.
Hrushesky, William J.M., Robert B. Sothern, Jovelyn Du‐Quiton, et al.. (2011). Sunspot Dynamics Are Reflected in Human Physiology and Pathophysiology. Astrobiology. 11(2). 93–103. 20 indexed citations
2.
Boon, Mathilde E., et al.. (2011). Switching from Neural Networks (PAPNET) to the Imager (Hologic) for Computer-Assisted Screening. Acta Cytologica. 55(2). 163–166. 3 indexed citations
3.
Ballegooijen, Marjolein van, et al.. (2010). Effects of Streamlining Cervical Cancer Screening the Dutch Way. Acta Cytologica. 54(6). 1095–1100. 5 indexed citations
5.
Haaften, Maarten van, et al.. (2007). Microscopic Diagnosis of Vulvovaginal Candidiasis in Stained Vaginal Smears by Dutch General Practitioners. Acta Cytologica. 51(6). 882–885. 7 indexed citations
6.
Boon, Mathilde E., et al.. (2007). Synchronization of Intracellular Proliferation and Apoptosis in Multinucleated Giant Cell Carcinoma of the Cervix. Acta Cytologica. 51(1). 73–79. 1 indexed citations
7.
Boon, Mathilde E., et al.. (2006). Microscopic diagnosis of dysbacteriosis in stained vaginal smears in clinical practice. Diagnostic Cytopathology. 34(10). 686–691. 5 indexed citations
8.
Rijkaart, Dorien, et al.. (2006). Alternating high-risk human papillomavirus infection. Cancer. 108(6). 475–479. 4 indexed citations
9.
Boon, Mathilde E., et al.. (2006). Dysbacteriosis and squamous (pre)neoplasia of immigrants and Dutch women as established in population‐based cervical screening. Diagnostic Cytopathology. 34(5). 377–381. 18 indexed citations
10.
Boon, Mathilde E., et al.. (2004). Proliferation patterns of cervical cells as visualized in Leiden liquid cytology slides. Diagnostic Cytopathology. 31(1). 5–9. 7 indexed citations
11.
Bulkmans, Nicole W.J., Lawrence Rozendaal, Peter J.F. Snijders, et al.. (2004). POBASCAM, a population‐based randomized controlled trial for implementation of high‐risk HPV testing in cervical screening: Design, methods and baseline data of 44,102 women. International Journal of Cancer. 110(1). 94–101. 220 indexed citations
12.
Boon, Mathilde E., et al.. (2004). Significance of MiB‐1 staining in smears with atypical glandular cells. Diagnostic Cytopathology. 31(2). 77–82. 6 indexed citations
14.
Boon, Mathilde E., et al.. (1998). Combining QUANTICYT karyometric analysis with architectural confocal-aided cytology to prognosticate superficial bladder cancer. Diagnostic Cytopathology. 18(1). 10–17. 5 indexed citations
15.
Boon, Mathilde E., et al.. (1998). Visualization of vaginal flora in cervical smears using a modified microwave silver-staining method. The Histochemical Journal. 30(2). 75–80. 6 indexed citations
16.
Ballegooijen, Marjolein van, Samuel J. Beck, Mathilde E. Boon, Rob Boer, & J. Dik F. Habbema. (1998). Rescreen Effect in Conventional and PAPNET Screening. Acta Cytologica. 42(5). 1133–1138. 3 indexed citations
17.
Boon, Mathilde E., et al.. (1997). Consistency of a Double PAPNET Scan of Cervical Smears. Acta Cytologica. 41(1). 82–87. 19 indexed citations
18.
Boon, Mathilde E., Samuel J. Beck, & Lambrecht P. Kok. (1995). Semiautomatic PAPNET analysis of proliferating (MIB‐1‐positive) cells in cervical cytology and histology. Diagnostic Cytopathology. 13(5). 423–428. 11 indexed citations
19.
Boon, Mathilde E., Peter G. Bolhuis, A. Schneider, et al.. (1988). Penile studies and heterosexual partners. Peniscopy, cytology, histology, and immunocytochemistry. Cancer. 61(8). 1652–1659. 18 indexed citations
20.
Boon, Mathilde E. & E. C. M. Ooms. (1985). Cytomorphometric and histomorphometric evidence of the development of carcinoma in situ of the bladder in patients followed for low-grade papillary bladder carcinoma. Image Analysis & Stereology. 1 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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