Ed Schuuring

4.6k total citations
66 papers, 3.6k citations indexed

About

Ed Schuuring is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Ed Schuuring has authored 66 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 22 papers in Pathology and Forensic Medicine and 20 papers in Oncology. Recurrent topics in Ed Schuuring's work include Lymphoma Diagnosis and Treatment (20 papers), Genomic variations and chromosomal abnormalities (12 papers) and Cancer Genomics and Diagnostics (11 papers). Ed Schuuring is often cited by papers focused on Lymphoma Diagnosis and Treatment (20 papers), Genomic variations and chromosomal abnormalities (12 papers) and Cancer Genomics and Diagnostics (11 papers). Ed Schuuring collaborates with scholars based in Netherlands, United States and Germany. Ed Schuuring's co-authors include Rob Michalides, Els Verhoeven, Philip M. Kluin, Hanneke C. Kluin‐Nelemans, Carla J. de Boer, W. J. Mooi, J. Han van Krieken, S. V. Litvinov, Clive Dickson and Sharon Brookes and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and The EMBO Journal.

In The Last Decade

Ed Schuuring

64 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ed Schuuring Netherlands 33 1.7k 1.6k 1.0k 619 596 66 3.6k
S.C. Jhanwar United States 35 1.1k 0.7× 1.4k 0.9× 980 1.0× 580 0.9× 704 1.2× 67 4.2k
Joachim Mark Sweden 36 2.2k 1.3× 1.9k 1.1× 1.1k 1.0× 830 1.3× 856 1.4× 145 5.5k
Wojciech Biernat Poland 35 2.4k 1.4× 1.7k 1.0× 562 0.5× 954 1.5× 939 1.6× 275 5.3k
Christopher T. Denny United States 37 1.2k 0.7× 2.9k 1.8× 989 1.0× 589 1.0× 269 0.5× 68 5.3k
Günter Schlimok Germany 32 3.9k 2.3× 1.8k 1.1× 841 0.8× 2.1k 3.3× 422 0.7× 79 6.4k
Philip Went Switzerland 30 2.4k 1.5× 1.5k 0.9× 1.4k 1.3× 700 1.1× 431 0.7× 86 4.7k
David N. Shapiro United States 36 2.1k 1.2× 3.0k 1.8× 1.6k 1.6× 788 1.3× 460 0.8× 66 6.5k
Franco Bonetti Italy 45 2.6k 1.6× 1.7k 1.1× 1.0k 1.0× 866 1.4× 336 0.6× 129 6.4k
Martina Rudelius Germany 31 902 0.5× 1.1k 0.7× 463 0.5× 366 0.6× 512 0.9× 89 3.0k
Andreas Bräuninger Germany 34 1.8k 1.1× 1.1k 0.6× 2.4k 2.3× 487 0.8× 936 1.6× 77 3.9k

Countries citing papers authored by Ed Schuuring

Since Specialization
Citations

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

Fields of papers citing papers by Ed Schuuring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ed Schuuring

This figure shows the co-authorship network connecting the top 25 collaborators of Ed Schuuring. A scholar is included among the top collaborators of Ed Schuuring 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 Ed Schuuring. Ed Schuuring 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.
Ameline, Baptiste, Evert van den Broek, Gilles F.H. Diercks, et al.. (2025). Genome‐Wide DNA Methylation and Copy Number Alterations in Gastrointestinal Stromal Tumors. Genes Chromosomes and Cancer. 64(3). e70046–e70046.
2.
3.
Perakis, Samantha, Sabrina Weber, Qing Zhou, et al.. (2020). Comparison of three commercial decision support platforms for matching of next-generation sequencing results with therapies in patients with cancer. ESMO Open. 5(5). e000872–e000872. 24 indexed citations
4.
Haesevoets, Annick, Fredrik J. Bot, Adri C. Voogd, et al.. (2014). Chromosome instability predicts progression of premalignant lesions of the larynx. Pathology. 46(3). 216–224. 17 indexed citations
5.
Gibcus, Johan H., Lorian Menkema, Mirjam F. Mastik, et al.. (2007). Amplicon Mapping and Expression Profiling Identify the Fas-Associated Death Domain Gene as a New Driver in the 11q13.3 Amplicon in Laryngeal/Pharyngeal Cancer. Clinical Cancer Research. 13(21). 6257–6266. 74 indexed citations
6.
Moolenaar, Wouter H., et al.. (2006). Cortactin affects cell migration by regulating intercellular adhesion and cell spreading. Experimental Cell Research. 312(9). 1658–1670. 74 indexed citations
7.
8.
Kraan, Jaco, Anne R. M. von Bergh, Karin Kleiverda, et al.. (2003). Multicolor Fiber FISH. Molecular Cytogenetics. 204. 143–154. 4 indexed citations
9.
Janssen, Johannes W.G., Anna Jauch, Philip M. Kluin, et al.. (2000). Concurrent activation of a novel putative transforming gene, myeov, and cyclin D1 in a subset of multiple myeloma cell lines with t(11;14)(q13;q32).. Blood. 95(8). 2691–2698. 94 indexed citations
10.
Smetsers, Toon F.C.M., Rob W. M. van Soest, Michel Stul, et al.. (2000). A DNA probe combination for improved detection of MLL/11q23 breakpoints by double-color interphase-FISH in acute leukemias. Genes Chromosomes and Cancer. 28(1). 14–14. 5 indexed citations
11.
Schuuring, Ed, FJ Bot, Jos Hermans, et al.. (1999). Gastric low-grade MALT lymphoma, high-grade MALT lymphoma and diffuse large B cell lymphoma show different frequencies of trisomy. Leukemia. 13(5). 799–807. 50 indexed citations
12.
Boer, Carla J. de, J. Han van Krieken, Ed Schuuring, & Ph. M. Kluin. (1997). Bcl-1/cyclin D1 in malignant lymphoma. Annals of Oncology. 8. S109–S117. 53 indexed citations
13.
Vaandrager, Jan‐Willem, Philip M. Kluin, & Ed Schuuring. (1997). The t(11; 14) (q13; q32) in Multiple Myeloma Cell Line KMS12 has Its 11q13 Breakpoint 330 kb Centromeric From the Cyclin D1 Gene. Blood. 89(1). 349–349. 26 indexed citations
14.
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
15.
Velders, Gerjo A., Hanneke C. Kluin‐Nelemans, Carla J. de Boer, et al.. (1996). Mantle-cell lymphoma. Journal of Clinical Oncology. 14(4). 3 indexed citations
16.
Kluin, Ph. M., Jan‐Willem Vaandrager, J. Han van Krieken, & Ed Schuuring. (1996). Chromosomal markers in lymphoma diagnosis. Current Diagnostic Pathology. 3(4). 187–199. 2 indexed citations
17.
Bovée, Judith V.M.G., Peter Devilee, Cees J. Cornelisse, Ed Schuuring, & Pancras C.W. Hogendoorn. (1995). Translocation Identification of an Ews-Pseudogene Using Detection by RT-PCR in Ewings-Sarcoma. Biochemical and Biophysical Research Communications. 213(3). 1051–1060. 15 indexed citations
18.
Schuuring, Ed, Els Verhoeven, Sergey V. Litvinov, & Rob Michalides. (1993). The Product of the EMS1 Gene, Amplified and Overexpressed in Human Carcinomas, is Homologous to a v- src Substrate and is Located in Cell-Substratum Contact Sites. Molecular and Cellular Biology. 13(5). 2891–2898. 38 indexed citations
19.
Schuuring, Ed, Els Verhoeven, Harm van Tinteren, et al.. (1992). Amplification of genes within the chromosome 11q13 region is indicative of poor prognosis in patients with operable breast cancer.. PubMed. 52(19). 5229–34. 175 indexed citations
20.
Sonnenberg, Arnoud, Peter van Balen, J. Hilgers, Ed Schuuring, & Roel Nusse. (1987). Oncogene expression during progression of mouse mammary tumor cells; activity of a proviral enhancer and the resulting expression of int-2 is influenced by the state of differentiation.. The EMBO Journal. 6(1). 121–125. 28 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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