David Beijerinck

1.0k total citations
20 papers, 757 citations indexed

About

David Beijerinck is a scholar working on Oncology, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David Beijerinck has authored 20 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 8 papers in Artificial Intelligence and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David Beijerinck's work include AI in cancer detection (8 papers), Biomarkers in Disease Mechanisms (6 papers) and Digital Radiography and Breast Imaging (5 papers). David Beijerinck is often cited by papers focused on AI in cancer detection (8 papers), Biomarkers in Disease Mechanisms (6 papers) and Digital Radiography and Breast Imaging (5 papers). David Beijerinck collaborates with scholars based in Netherlands, Germany and United States. David Beijerinck's co-authors include Y. van der Graaf, Nico Karssemeijer, Jeanet M. Kemmeren, Jan Dirk Banga, Yolanda van der Graaf, Mireille J. M. Broeders, P.A.H. van Noord, Ruben E. van Engen, Angela H.E.M. Maas and Adriana M. J. Bluekens and has published in prestigious journals such as American Journal of Epidemiology, Radiology and American Journal of Roentgenology.

In The Last Decade

David Beijerinck

20 papers receiving 728 citations

Peers

David Beijerinck

RNMI

PRM

ONCOL

PFM

Pradnya D. Patil United States

Julianne S. Greenberg United States

Sadanori Takeo Japan

Selwyn Strano Israel

Shalom Buchbinder United States

Pierre Lovinfosse Belgium

Neil Sharma United Kingdom

Yuka Kozuma Japan

Kai‐Hsiung Ko Taiwan

Nolwenn Le Stang France

Pradnya D. Patil United States

David Beijerinck

577 ×1.6

RNMI

644 ×2.0

PRM

563 ×2.3

ONCOL

102 ×0.4

35 ×0.2

PFM

Citations per year, relative to David Beijerinck David Beijerinck (= 1×) peers Pradnya D. Patil

Countries citing papers authored by David Beijerinck

Since Specialization

Citations

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

Fields of papers citing papers by David Beijerinck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Beijerinck

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

Samulski, Maurice, Marc B. I. Lobbes, Ritse M. Mann, et al.. (2012). Computer-aided Detection of Masses at Mammography: Interactive Decision Support versus Prompts. Radiology. 266(1). 123–129. 48 indexed citations

Samulski, Maurice, Marc B. I. Lobbes, David Beijerinck, et al.. (2012). Standalone computer-aided detection compared to radiologists’ performance for the detection of mammographic masses. European Radiology. 23(1). 93–100. 16 indexed citations

Veldkamp, Wouter J. H., David Beijerinck, Miranda Snoeren, et al.. (2011). Increase in perceived case suspiciousness due to local contrast optimisation in digital screening mammography. European Radiology. 22(4). 908–914. 15 indexed citations

Bluekens, Adriana M. J., Nico Karssemeijer, David Beijerinck, et al.. (2010). Consequences of digital mammography in population-based breast cancer screening: initial changes and long-term impact on referral rates. European Radiology. 20(9). 2067–2073. 51 indexed citations

Karssemeijer, Nico, et al.. (2009). Breast Cancer Screening Results 5 Years after Introduction of Digital Mammography in a Population-based Screening Program. Radiology. 253(2). 353–358. 103 indexed citations

Karssemeijer, Nico, Christian Beck, Peter R. Snoeren, et al.. (2007). Importance of Comparison of Current and Prior Mammograms in Breast Cancer Screening. Radiology. 242(1). 70–77. 70 indexed citations

Maas, Angela H.E.M., Yvonne T. van der Schouw, Femke Atsma, et al.. (2007). Breast arterial calcifications are correlated with subsequent development of coronary artery calcifications, but their aetiology is predominantly different. European Journal of Radiology. 63(3). 396–400. 58 indexed citations

Maas, Angela H.E.M., Yvonne T. van der Schouw, David Beijerinck, et al.. (2006). Vitamin K intake and calcifications in breast arteries. Maturitas. 56(3). 273–279. 20 indexed citations

Maas, Angela H.E.M., et al.. (2006). Arterial Calcifications Seen on Mammograms: Cardiovascular Risk Factors, Pregnancy, and Lactation. Radiology. 240(1). 33–38. 47 indexed citations

10.

Schouw, Yvonne T. van der, et al.. (2006). Mammographic arterial calcifications: Cardiovascular risk factors, pregnancy and lactation. 2 indexed citations

11.

Kemmeren, Jeanet M., P.A.H. van Noord, David Beijerinck, et al.. (1998). Arterial Calcification Found on Breast Cancer Screening Mammograms and Cardiovascular Mortality in Women: The DOM Project. American Journal of Epidemiology. 147(4). 333–341. 101 indexed citations

12.

Valk, P. van der, et al.. (1998). Cost-effectiveness of Consensus Double Reading of Screening Mammograms. Radiology. 209(2). 588–588. 2 indexed citations

13.

Beijerinck, David, et al.. (1996). Mammograms may convey more than breast cancer risk: breast arterial calcification and arterio-sclerotic related diseases in women of the DOM cohort.. PubMed. 5(6). 483–7. 80 indexed citations

14.

Otter, Willem Den, Thomas E. Merchant, David Beijerinck, & Jan Willem Koten. (1996). Breast cancer induction due to mammographic screening in hereditarily affected women.. PubMed. 16(5B). 3173–5. 22 indexed citations

15.

Kemmeren, Jeanet M., et al.. (1996). Breast arterial calcifications: association with diabetes mellitus and cardiovascular mortality. Work in progress.. Radiology. 201(1). 75–78. 70 indexed citations

16.

Kort, G.A.P. de, et al.. (1996). Malignant and Benign Clustered Microcalcifications: Automated Feature Analysis and Classification. Radiology. 201(2). 581–581. 4 indexed citations

17.

Pameijer, Frank A., et al.. (1995). Non-Hodgkin's lymphoma of the breast causing miliary densities on mammography.. American Journal of Roentgenology. 164(3). 609–610. 16 indexed citations

18.

Beijerinck, David, P.A.H. van Noord, Jeanet M. Kemmeren, & Jacob C. Seidell. (1995). Breast size as a determinant of breast cancer.. PubMed. 19(3). 202–5. 11 indexed citations

19.

Otter, Willem Den, Thomas E. Merchant, David Beijerinck, & Jan Willem Koten. (1993). Exclusion from mammographic screening of women genetically predisposed to breast cancer will probably eliminate mammographically induced breast cancer.. PubMed. 13(4). 1113–5. 7 indexed citations

20.

Beijerinck, David, et al.. (1991). Abdominal fat predominance in women is associated with a decreased prevalence of the high risk P2, DY mammographic breast patterns.. PubMed. 15(1). 89–93. 14 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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