Daniël Olde Weghuis

1.0k total citations
20 papers, 744 citations indexed

About

Daniël Olde Weghuis is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Daniël Olde Weghuis has authored 20 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Immunology. Recurrent topics in Daniël Olde Weghuis's work include Genomic variations and chromosomal abnormalities (6 papers), Prenatal Screening and Diagnostics (4 papers) and Cancer Genomics and Diagnostics (4 papers). Daniël Olde Weghuis is often cited by papers focused on Genomic variations and chromosomal abnormalities (6 papers), Prenatal Screening and Diagnostics (4 papers) and Cancer Genomics and Diagnostics (4 papers). Daniël Olde Weghuis collaborates with scholars based in Netherlands, United States and Norway. Daniël Olde Weghuis's co-authors include Dominique Smeets, Øystein Fodstad, Ola Myklebost, Ad Geurts van Kessel, Anne Forus, Marian Stevens‐Kroef, Hans Clevers, Wouter Korver, Diederik de Bruijn and Ad Geurts van Kessel and has published in prestigious journals such as The American Journal of Human Genetics, Gene and Genomics.

In The Last Decade

Daniël Olde Weghuis

20 papers receiving 735 citations

Peers

Daniël Olde Weghuis
Herman Van den Berghe Belgium
Stéphanie Struski France
Richard J. Dahl United States
Lisa M. Vincent United States
Ben Kinnersley United Kingdom
Marga Schepens Netherlands
F Desangles France
Francesca Voza United States
Ramapriya Ganti United States
Véronique Laithier France
Herman Van den Berghe Belgium
Daniël Olde Weghuis
Citations per year, relative to Daniël Olde Weghuis Daniël Olde Weghuis (= 1×) peers Herman Van den Berghe

Countries citing papers authored by Daniël Olde Weghuis

Since Specialization
Citations

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

Fields of papers citing papers by Daniël Olde Weghuis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniël Olde Weghuis. 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 Daniël Olde Weghuis. The network helps show where Daniël Olde Weghuis may publish in the future.

Co-authorship network of co-authors of Daniël Olde Weghuis

This figure shows the co-authorship network connecting the top 25 collaborators of Daniël Olde Weghuis. A scholar is included among the top collaborators of Daniël Olde Weghuis 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 Daniël Olde Weghuis. Daniël Olde Weghuis 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.
Levy, Brynn, Rashmi Kanagal‐Shamanna, Nikhil Sahajpal, et al.. (2024). A framework for the clinical implementation of optical genome mapping in hematologic malignancies. American Journal of Hematology. 99(4). 642–661. 19 indexed citations
2.
Neveling, Kornelia, Tuomo Mantere, Michiel Oorsprong, et al.. (2021). Next-generation cytogenetics: Comprehensive assessment of 52 hematological malignancy genomes by optical genome mapping. The American Journal of Human Genetics. 108(8). 1423–1435. 110 indexed citations
3.
Poddighe, Pino J. & Daniël Olde Weghuis. (2018). t(15;17)(q24;q21) PML/RARA. Atlas of Genetics and Cytogenetics in Oncology and Haematology. 1 indexed citations
4.
Stevens‐Kroef, Marian, Daniël Olde Weghuis, Bert van der Reijden, et al.. (2017). Genomic array as compared to karyotyping in myelodysplastic syndromes in a prospective clinical trial. Genes Chromosomes and Cancer. 56(7). 524–534. 13 indexed citations
5.
Stevens‐Kroef, Marian, Eva van den Berg, Daniël Olde Weghuis, et al.. (2014). Identification of prognostic relevant chromosomal abnormalities in chronic lymphocytic leukemia using microarray-based genomic profiling. Molecular Cytogenetics. 7(1). 3–3. 17 indexed citations
6.
Stevens‐Kroef, Marian, et al.. (2012). High detection rate of clinically relevant genomic abnormalities in plasma cells enriched from patients with multiple myeloma. Genes Chromosomes and Cancer. 51(11). 997–1006. 20 indexed citations
7.
Simons, Annet, Marian Stevens‐Kroef, Daniël Olde Weghuis, et al.. (2011). Microarray‐based genomic profiling as a diagnostic tool in acute lymphoblastic leukemia. Genes Chromosomes and Cancer. 50(12). 969–981. 16 indexed citations
8.
Stevens‐Kroef, Marian, Annet Simons, Ton Feuth, et al.. (2009). Identification of chromosomal abnormalities relevant to prognosis in chronic lymphocytic leukemia using multiplex ligation-dependent probe amplification. Cancer Genetics and Cytogenetics. 195(2). 97–104. 22 indexed citations
9.
Faas, Brigitte H. W., Willy M. Nillesen, Sascha Vermeer, et al.. (2008). Detection of cryptic subtelomeric imbalances in fetuses with ultrasound abnormalities. European Journal of Medical Genetics. 51(6). 511–519. 11 indexed citations
10.
Poot, Martin, Hester Y. Kroes, Marc J. Eleveld, et al.. (2007). Dandy‐Walker complex in a boy with a 5 Mb deletion of region 1q44 due to a paternal t(1;20)(q44;q13.33). American Journal of Medical Genetics Part A. 143A(10). 1038–1044. 31 indexed citations
11.
Sinke, Richard J., Bert Janssen, Daniël Olde Weghuis, et al.. (1997). Fine Mapping of the Human Renal Oncocytoma-Associated Translocation (5;11)(q35;q13) Breakpoint. Cancer Genetics and Cytogenetics. 96(2). 95–101. 29 indexed citations
12.
Prinsen, Clemens, et al.. (1997). Identification of a human heart FABP pseudogene located on chromosome 13. Gene. 193(2). 245–251. 9 indexed citations
13.
Korver, Wouter, Jeroen P. Roose, Daniël Olde Weghuis, et al.. (1997). The HumanTRIDENT/HFH-11/FKHL16Gene: Structure, Localization, and Promoter Characterization. Genomics. 46(3). 435–442. 103 indexed citations
14.
15.
Forus, Anne, Daniël Olde Weghuis, Dominique Smeets, et al.. (1995). Comparative genomic hybridization analysis of human sarcomas: II. Identification of novel amplicons at 6p and 17p in osteosarcomas. Genes Chromosomes and Cancer. 14(1). 15–21. 125 indexed citations
16.
17.
Maagdenberg, Arn M. J. M. van den, Helma van den Hurk, Daniël Olde Weghuis, et al.. (1995). Assignment of the Human Protein Tyrosine Phosphatase Epsilon (PTPRE) Gene to Chromosome 10q26 by Fluorescencein SituHybridization. Genomics. 30(1). 128–129. 1 indexed citations
18.
Echten, Jannie van, Bauke M. de Jong, Richard J. Sinke, et al.. (1995). Definition of a new entity of malignant extragonadal germ cell tumors. Genes Chromosomes and Cancer. 12(1). 8–15. 17 indexed citations
19.
Wijngaard, Arthur van den, Daniël Olde Weghuis, C.J.C. Boersma, et al.. (1995). Fine Mapping of the Human Bone Morphogenetic Protein-4 Gene (BMP4) to Chromosome 14q22-q23 by in Situ Hybridization. Genomics. 27(3). 559–560. 21 indexed citations
20.
Schaapveld, Roel Q.J., Jan Schepens, Daniël Olde Weghuis, et al.. (1995). The Mouse Gene Ptprf Encoding the Leukocyte Common Antigen-Related Molecule LAR: Cloning, Characterization, and Chromosomal Localization. Genomics. 27(1). 124–130. 18 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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