Ewald van Dyk

3.3k total citations
10 papers, 104 citations indexed

About

Ewald van Dyk is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Ewald van Dyk has authored 10 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Ewald van Dyk's work include Genomic variations and chromosomal abnormalities (3 papers), Gene expression and cancer classification (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Ewald van Dyk is often cited by papers focused on Genomic variations and chromosomal abnormalities (3 papers), Gene expression and cancer classification (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Ewald van Dyk collaborates with scholars based in Netherlands, United States and South Africa. Ewald van Dyk's co-authors include Lodewyk F.A. Wessels, Marcel Reinders, Etienne Barnard, Charl van Heerden, Marelie H. Davel, S. Neser, Christian Müller, Michael S. Feld, E. Gus Cothran and Marlous Hoogstraat and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Annals of Oncology.

In The Last Decade

Ewald van Dyk

10 papers receiving 95 citations

Peers

Ewald van Dyk

MB

GENET

CR

AI

ONCOL

Shuo Shi China

Derek E. Kelly United States

Lindsay Lee United States

Jianbin Chen China

Sarah ElShal Belgium

Iman Sarrafi Canada

Qiushi Jin United States

Tomohiro Yasuda Japan

Quentin R. V. Ferry United Kingdom

Louise C. Daugherty United Kingdom

Shuo Shi China

Ewald van Dyk

74 ×2.0

MB

47 ×1.5

GENET

34 ×1.3

CR

8 ×0.3

AI

12 ×0.5

ONCOL

Citations per year, relative to Ewald van Dyk Ewald van Dyk (= 1×) peers Shuo Shi

Countries citing papers authored by Ewald van Dyk

Since Specialization

Citations

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

Fields of papers citing papers by Ewald van Dyk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ewald van Dyk. 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 Ewald van Dyk. The network helps show where Ewald van Dyk may publish in the future.

Co-authorship network of co-authors of Ewald van Dyk

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

All Works

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10 of 10 papers shown

1.

Bakker, Noor A. M., Hannah Garner, Ewald van Dyk, et al.. (2025). Triple-negative breast cancer modifies the systemic immune landscape and alters neutrophil functionality. npj Breast Cancer. 11(1). 5–5. 4 indexed citations

2.

Voorwerk, Leonie, Hannah Garner, Olga Blomberg, et al.. (2020). LBA10 Critical role of eosinophils during response to immune checkpoint blockade in breast cancer and other cancer types. Annals of Oncology. 31. S1142–S1142. 9 indexed citations

3.

Dyk, Ewald van, Marlous Hoogstraat, Jelle ten Hoeve, Marcel Reinders, & Lodewyk F.A. Wessels. (2016). RUBIC identifies driver genes by detecting recurrent DNA copy number breaks. Nature Communications. 7(1). 12159–12159. 9 indexed citations

4.

Dyk, Ewald van, Marcel Reinders, & Lodewyk F.A. Wessels. (2013). A scale-space method for detecting recurrent DNA copy number changes with analytical false discovery rate control. Nucleic Acids Research. 41(9). e100–e100. 19 indexed citations

5.

Schouten, Philip C., Ewald van Dyk, Linde M. Braaf, et al.. (2013). Platform comparisons for identification of breast cancers with a BRCA-like copy number profile. Breast Cancer Research and Treatment. 139(2). 317–327. 15 indexed citations

6.

Heerden, Charl van, Etienne Barnard, Marelie H. Davel, et al.. (2010). Combining regression and classification methods for improving automatic speaker age recognition. 5174–5177. 28 indexed citations

7.

Dyk, Ewald van & Etienne Barnard. (2008). Naive Bayesian classifiers for multinomial features: a theoretical analysis. South African Computer Journal. 40. 37–43. 1 indexed citations

8.

Cothran, E. Gus, et al.. (2001). Genetic variation in the feral horses of the Namib Desert, Namibia. Journal of the South African Veterinary Association. 72(1). 18–22. 9 indexed citations

9.

Dyk, Ewald van & S. Neser. (2000). The spread of weeds into sensitive areas by seeds in horse faeces. Journal of the South African Veterinary Association. 71(3). 173–174. 7 indexed citations

10.

Dyk, Ewald van, et al.. (1998). Genetic analysis of three South African horse breeds. Journal of the South African Veterinary Association. 69(4). 120–125. 3 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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