Marjanka K. Schmidt

32.9k total citations · 1 hit paper
160 papers, 4.8k citations indexed

About

Marjanka K. Schmidt is a scholar working on Cancer Research, Oncology and Genetics. According to data from OpenAlex, Marjanka K. Schmidt has authored 160 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Cancer Research, 71 papers in Oncology and 65 papers in Genetics. Recurrent topics in Marjanka K. Schmidt's work include BRCA gene mutations in cancer (58 papers), Breast Cancer Treatment Studies (54 papers) and Cancer Genomics and Diagnostics (37 papers). Marjanka K. Schmidt is often cited by papers focused on BRCA gene mutations in cancer (58 papers), Breast Cancer Treatment Studies (54 papers) and Cancer Genomics and Diagnostics (37 papers). Marjanka K. Schmidt collaborates with scholars based in Netherlands, United States and Germany. Marjanka K. Schmidt's co-authors include Emiel J. Rutgers, Flora E. van Leeuwen, Laura J. van’t Veer, Rob A.�E.�M. Tollenaar, Laura van ‘t Veer, Stella Mook, Jelle Wesseling, Siti Muslimatun, Werner Schultink and Jenny Chang‐Claude and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Marjanka K. Schmidt

150 papers receiving 4.7k 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.

BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors

2019 386 citations Marjanka K. Schmidt, Nilanjan Chatterjee et al. profile →

Peers

Marjanka K. Schmidt

ONCOL

GENET

PFM

Saundra S. Buys United States

Laura van’t Veer United States

Abenaa M. Brewster United States

Ismail Jatoi United States

Bernardo Bonanni Italy

Karen Gelmon Canada

Sei Hyun Ahn South Korea

Therese B. Bevers United States

Nils Wilking Sweden

Jacek Gronwald Poland

Saundra S. Buys United States

Marjanka K. Schmidt

2.1k ×1.0

ONCOL

1.4k ×0.7

1.8k ×1.3

GENET

1.5k ×1.1

723 ×1.2

PFM

Citations per year, relative to Marjanka K. Schmidt Marjanka K. Schmidt (= 1×) peers Saundra S. Buys

Countries citing papers authored by Marjanka K. Schmidt

Since Specialization

Citations

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

Fields of papers citing papers by Marjanka K. Schmidt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marjanka K. Schmidt. 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 Marjanka K. Schmidt. The network helps show where Marjanka K. Schmidt may publish in the future.

Co-authorship network of co-authors of Marjanka K. Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Marjanka K. Schmidt. A scholar is included among the top collaborators of Marjanka K. Schmidt 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 Marjanka K. Schmidt. Marjanka K. Schmidt 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

Tan, Tao, Tianyu Zhang, Anna D’Angelo, et al.. (2025). Predicting short- to long-term breast cancer risk from longitudinal mammographic screening history. npj Breast Cancer. 11(1). 118–118. 1 indexed citations

Schmidt, Marjanka K., et al.. (2024). Assessing the validity of driver gene identification tools for targeted genome sequencing data. Bioinformatics Advances. 4(1). vbae073–vbae073. 1 indexed citations

Cajal, Teresa Ramón y, Muriel A. Adank, J. Margriet Collée, et al.. (2023). The benefit of adding polygenic risk scores, lifestyle factors, and breast density to family history and genetic status for breast cancer risk and surveillance classification of unaffected women from germline CHEK2 c.1100delC families. The Breast. 73. 103611–103611. 3 indexed citations

Kohut, Kelly, et al.. (2023). DCIS and LCIS: Are the Risk Factors for Developing In Situ Breast Cancer Different?. Cancers. 15(17). 4397–4397. 7 indexed citations

Wilthagen, Erica A., Frederieke van Duijnhoven, Ellen Verschuur, et al.. (2022). Prediction Models and Decision Aids for Women with Ductal Carcinoma In Situ: A Systematic Literature Review. Cancers. 14(13). 3259–3259. 8 indexed citations

Schmidt, Marjanka K., Anne Brédart, David Cameron, et al.. (2022). EBCC-13 manifesto: Balancing pros and cons for contralateral prophylactic mastectomy. European Journal of Cancer. 181. 79–91. 8 indexed citations

Hurson, Amber N., Parichoy Pal Choudhury, Chi Gao, et al.. (2021). Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries. International Journal of Epidemiology. 50(6). 1897–1911. 43 indexed citations

Seijen, Maartje van, Esther H. Lips, Liping Fu, et al.. (2021). Long-term risk of subsequent ipsilateral lesions after surgery with or without radiotherapy for ductal carcinoma in situ of the breast. British Journal of Cancer. 125(10). 1443–1449. 11 indexed citations

Heemskerk-Gerritsen, B.A.M., Ewout W. Steyerberg, Michael Hauptmann, et al.. (2021). Effects of chemotherapy on contralateral breast cancer risk in BRCA1 and BRCA2 mutation carriers: A nationwide cohort study. The Breast. 61. 98–107. 5 indexed citations

10.

Cardozo, Josephine Lopes, Marjanka K. Schmidt, Laura van ‘t Veer, et al.. (2021). Combining method of detection and 70-gene signature for enhanced prognostication of breast cancer. Breast Cancer Research and Treatment. 189(2). 399–410. 4 indexed citations

11.

Wang, Yuwei, Alexandra J. van den Broek, & Marjanka K. Schmidt. (2021). Letter to the editor regarding: ‘Association between BRCA mutational status and survival in patients with breast cancer: a systematic review and meta-analysis’. Breast Cancer Research and Treatment. 188(3). 821–823.

12.

Maaren, Marissa C. van, Linda de Munck, Luc J. A. Strobbe, et al.. (2021). Improved risk estimation of locoregional recurrence, secondary contralateral tumors and distant metastases in early breast cancer: the INFLUENCE 2.0 model. Breast Cancer Research and Treatment. 189(3). 817–826. 25 indexed citations

13.

Forés-Martos, Jaume, Vita Fedele, Sten Cornelissen, et al.. (2021). Circadian PERformance in breast cancer: a germline and somatic genetic study of PER3VNTR polymorphisms and gene co-expression. npj Breast Cancer. 7(1). 118–118. 6 indexed citations

14.

Morra, Anna, Sander Canisius, Jenny Chang‐Claude, et al.. (2020). Breast cancer risk factors and their effects on survival: a Mendelian randomisation study. BMC Medicine. 18(1). 327–327. 57 indexed citations

15.

Engelhardt, Ellen G., Frederieke van Duijnhoven, Maartje van Seijen, et al.. (2020). The impact of patient characteristics and lifestyle factors on the risk of an ipsilateral event after a primary DCIS: A systematic review. The Breast. 50. 95–103. 2 indexed citations

16.

Meer, Daniël J. van der, Iris Kramer, Marissa C. van Maaren, et al.. (2020). Comprehensive trends in incidence, treatment, survival and mortality of first primary invasive breast cancer stratified by age, stage and receptor subtype in the Netherlands between 1989 and 2017. International Journal of Cancer. 148(9). 2289–2303. 51 indexed citations

17.

Monteiro, Álvaro N.A., Peter Bouwman, Arne Nedergaard Kousholt, et al.. (2020). Variants of uncertain clinical significance in hereditary breast and ovarian cancer genes: best practices in functional analysis for clinical annotation. Journal of Medical Genetics. 57(8). 509–518. 32 indexed citations

18.

Visser, Lindy L., Emma J. Groen, Flora E. van Leeuwen, et al.. (2019). Predictors of an Invasive Breast Cancer Recurrence after DCIS: A Systematic Review and Meta-analyses. Cancer Epidemiology Biomarkers & Prevention. 28(5). 835–845. 44 indexed citations

19.

Makama, Maureen, Caroline A. Drukker, Emiel J. Rutgers, et al.. (2017). An association study of established breast cancer reproductive and lifestyle risk factors with tumour subtype defined by the prognostic 70-gene expression signature (MammaPrint ® ). European Journal of Cancer. 75. 5–13. 10 indexed citations

20.

Broeks, Annegien, Linde M. Braaf, Angelina Huseinovic, et al.. (2007). Identification of women with an increased risk of developing radiation-induced breast cancer: a case only study. Breast Cancer Research. 9(2). R26–R26. 62 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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