Koen De Winne

405 total citations
15 papers, 242 citations indexed

About

Koen De Winne is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Koen De Winne has authored 15 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Koen De Winne's work include Cancer Genomics and Diagnostics (7 papers), Molecular Biology Techniques and Applications (3 papers) and Single-cell and spatial transcriptomics (2 papers). Koen De Winne is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Molecular Biology Techniques and Applications (3 papers) and Single-cell and spatial transcriptomics (2 papers). Koen De Winne collaborates with scholars based in Belgium, Denmark and United Kingdom. Koen De Winne's co-authors include Patrick Pauwels, Karen Zwaenepoel, Laure Sorber, Filip Lardon, Vasiliki Siozopoulou, Marc Peeters, Jan P. van Meerbeeck, Christian Rolfo, Julie Jacobs and Geert Roeyen and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and British Journal of Dermatology.

In The Last Decade

Koen De Winne

15 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koen De Winne Belgium 8 151 103 89 89 64 15 242
Shoujun Tang China 7 86 0.6× 128 1.2× 115 1.3× 129 1.4× 21 0.3× 11 287
Luis Gros Spain 8 96 0.6× 67 0.7× 84 0.9× 89 1.0× 33 0.5× 15 251
Luciano Latini Italy 9 41 0.3× 91 0.9× 105 1.2× 111 1.2× 43 0.7× 25 261
Patrizia Froesch Switzerland 12 46 0.3× 242 2.3× 66 0.7× 226 2.5× 59 0.9× 31 360
Daniel Fonseca Portugal 6 125 0.8× 161 1.6× 196 2.2× 34 0.4× 76 1.2× 7 350
Ann Tipps United States 8 39 0.3× 53 0.5× 48 0.5× 85 1.0× 36 0.6× 18 197
Eric M. Robinson United States 9 56 0.4× 98 1.0× 62 0.7× 106 1.2× 14 0.2× 24 233
Kelly A. Devereaux United States 10 34 0.2× 74 0.7× 56 0.6× 64 0.7× 34 0.5× 19 281
Sujay Vennam United States 9 71 0.5× 92 0.9× 64 0.7× 59 0.7× 34 0.5× 15 184
Edgardo R. Parrilla Castellar United States 6 29 0.2× 48 0.5× 38 0.4× 93 1.0× 110 1.7× 9 257

Countries citing papers authored by Koen De Winne

Since Specialization
Citations

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

Fields of papers citing papers by Koen De Winne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koen De Winne. 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 Koen De Winne. The network helps show where Koen De Winne may publish in the future.

Co-authorship network of co-authors of Koen De Winne

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

All Works

15 of 15 papers shown
1.
Varma, Sandeep, Ashish K. Sharma, Somaia Elsheikh, et al.. (2024). Diagnostic accuracy of autofluorescence-Raman microspectroscopy for surgical margin assessment during Mohs micrographic surgery of basal cell carcinoma. British Journal of Dermatology. 191(3). 428–436. 2 indexed citations
2.
Li, Kan Yan Chloe, Hector Dejea, Koen De Winne, et al.. (2023). Feasibility and safety of synchrotron-based X-ray phase contrast imaging as a technique complementary to histopathology analysis. Histochemistry and Cell Biology. 160(5). 377–389. 4 indexed citations
3.
Sorber, Laure, Bieke Van Dorst, Karen Zwaenepoel, et al.. (2022). NTRK Gene Fusion Detection in a Pan-Cancer Setting Using the Idylla GeneFusion Assay. Journal of Molecular Diagnostics. 24(7). 750–759. 11 indexed citations
4.
Eecken, Kim Van der, Malaïka Van Der Linden, David Creytens, et al.. (2022). Shallow whole-genome sequencing: a useful, easy to apply molecular technique for CNA detection on FFPE tumor tissue—a glioma-driven study. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 480(3). 677–686. 3 indexed citations
5.
Siozopoulou, Vasiliki, Elly Marcq, Koen De Winne, et al.. (2022). NTRK Fusions in a Sarcomas Series: Pathology, Molecular and Clinical Aspects. Pathology & Oncology Research. 28. 1610423–1610423. 7 indexed citations
6.
Sorber, Laure, Bart Claes, Karen Zwaenepoel, et al.. (2021). Evaluation of Cytologic Sample Preparations for Compatibility With Nucleic Acid Analysis. American Journal of Clinical Pathology. 157(2). 293–304. 9 indexed citations
7.
Siozopoulou, Vasiliki, Evelien Smits, Koen De Winne, Elly Marcq, & Patrick Pauwels. (2021). NTRK Fusions in Sarcomas: Diagnostic Challenges and Clinical Aspects. Diagnostics. 11(3). 478–478. 29 indexed citations
8.
Winne, Koen De, Laure Sorber, Suzan Lambin, et al.. (2020). Immunohistochemistry as a screening tool for NTRK gene fusions: results of a first Belgian ring trial. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 478(2). 283–291. 22 indexed citations
9.
Sorber, Laure, Karen Zwaenepoel, Julie Jacobs, et al.. (2019). Circulating Cell-Free DNA and RNA Analysis as Liquid Biopsy: Optimal Centrifugation Protocol. Cancers. 11(4). 458–458. 74 indexed citations
10.
Sorber, Laure, Karen Zwaenepoel, Julie Jacobs, et al.. (2019). Specialized Blood Collection Tubes for Liquid Biopsy: Improving the Pre-analytical Conditions. Molecular Diagnosis & Therapy. 24(1). 113–124. 35 indexed citations
11.
Zwaenepoel, Karen, Koen De Winne, Christine Weyn, et al.. (2019). Clinical Performance of the Idylla MSI Test for a Rapid Assessment of the DNA Microsatellite Status in Human Colorectal Cancer. Journal of Molecular Diagnostics. 22(3). 386–395. 25 indexed citations
12.
Winne, Koen De, Laure Sorber, Lucien van Keulen, et al.. (2019). Results of a first panTRK IHC ringtrial. Annals of Oncology. 30. vii11–vii11. 3 indexed citations
13.
Pauwels, Patrick, Torben Steiniche, Jan Van de Velde, et al.. (2019). The Idylla MSI Test (CE-IVD) multi-center concordance study: Microsatellite instability detection in colorectal cancer samples.. Journal of Clinical Oncology. 37(15_suppl). e15112–e15112. 1 indexed citations
14.
Hultberg, Anna, Domenica Gandini, M. Bagot, et al.. (2017). CD70 EXPRESSION IN CUTANEOUS T CELL LYMPHOMA (CTCL) PATIENTS AND MECHANISMS OF ACTION OF ARGX‐110 IN SKIN: HISTOPATHOLOGICAL AND CLINICAL DATA. Hematological Oncology. 35(S2). 275–275. 5 indexed citations
15.
Winne, Koen De, Philippe Büscher, Alejandro O. Luquetti, et al.. (2014). The Trypanosoma cruzi Satellite DNA OligoC-TesT and Trypanosoma cruzi Kinetoplast DNA OligoC-TesT for Diagnosis of Chagas Disease: A Multi-cohort Comparative Evaluation Study. PLoS neglected tropical diseases. 8(1). e2633–e2633. 12 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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