Anke Van den broeck

624 total citations
9 papers, 433 citations indexed

About

Anke Van den broeck is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Anke Van den broeck has authored 9 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 4 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Anke Van den broeck's work include Cancer Cells and Metastasis (5 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Cancer Genomics and Diagnostics (4 papers). Anke Van den broeck is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Cancer Genomics and Diagnostics (4 papers). Anke Van den broeck collaborates with scholars based in Belgium and Austria. Anke Van den broeck's co-authors include Baki Topal, Hugo Vankelecom, Olivier Govaere, Lies Gremeaux, Tania Roskams, Joke Allemeersch, Jasper Wouters, María Mercedes Binda, Rekin’s Janky and Johannes V. Swinnen and has published in prestigious journals such as PLoS ONE, Journal of Hepatology and BMC Cancer.

In The Last Decade

Anke Van den broeck

9 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anke Van den broeck Belgium 6 285 233 128 63 53 9 433
So-Young Yeo South Korea 9 259 0.9× 280 1.2× 116 0.9× 58 0.9× 80 1.5× 12 497
Prabhu Arumugam United Kingdom 9 292 1.0× 132 0.6× 99 0.8× 87 1.4× 73 1.4× 11 386
Daiki Eguchi Japan 8 235 0.8× 142 0.6× 85 0.7× 82 1.3× 87 1.6× 10 370
Sander P.J. Joosten Netherlands 10 236 0.8× 288 1.2× 101 0.8× 37 0.6× 53 1.0× 12 481
Shiao-Lin Tung Taiwan 10 142 0.5× 265 1.1× 179 1.4× 30 0.5× 81 1.5× 20 477
Yoshikuni Yonenaga Japan 8 133 0.5× 227 1.0× 172 1.3× 62 1.0× 31 0.6× 26 419
Hiroyuki Goda Japan 13 146 0.5× 206 0.9× 81 0.6× 61 1.0× 58 1.1× 30 381
Candice Alexandra Grzelak United States 8 199 0.7× 193 0.8× 133 1.0× 52 0.8× 46 0.9× 10 420
Wen Min Lau United States 9 173 0.6× 290 1.2× 93 0.7× 50 0.8× 62 1.2× 10 423
Natascha Cremers Germany 11 290 1.0× 239 1.0× 137 1.1× 41 0.7× 92 1.7× 12 516

Countries citing papers authored by Anke Van den broeck

Since Specialization
Citations

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

Fields of papers citing papers by Anke Van den broeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anke Van den broeck. 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 Anke Van den broeck. The network helps show where Anke Van den broeck may publish in the future.

Co-authorship network of co-authors of Anke Van den broeck

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

All Works

9 of 9 papers shown
1.
Mebis, Jeroen, Guy Jérusalem, Didier Verhoeven, et al.. (2019). Neutropenia management in patients receiving myelosuppressive polychemotherapy for early breast cancer in Belgium: BRONS study results. Acta Clinica Belgica. 75(2). 128–135. 3 indexed citations
2.
Wynendaele, Wim, et al.. (2018). Real-world use of granulocyte colony-stimulating factor in ambulatory breast cancer patients: a cross-sectional study. Supportive Care in Cancer. 27(3). 1099–1108. 5 indexed citations
3.
Janky, Rekin’s, María Mercedes Binda, Joke Allemeersch, et al.. (2016). Prognostic relevance of molecular subtypes and master regulators in pancreatic ductal adenocarcinoma. BMC Cancer. 16(1). 632–632. 102 indexed citations
4.
Govaere, Olivier, Jasper Wouters, Michaela Petz, et al.. (2015). Laminin-332 sustains chemoresistance and quiescence as part of the human hepatic cancer stem cell niche. Journal of Hepatology. 64(3). 609–617. 111 indexed citations
5.
broeck, Anke Van den, Hugo Vankelecom, Lies Gremeaux, et al.. (2013). Human Pancreatic Cancer Contains a Side Population Expressing Cancer Stem Cell-Associated and Prognostic Genes. PLoS ONE. 8(9). e73968–e73968. 57 indexed citations
6.
Wouters, Jasper, Marguerite Stas, Lies Gremeaux, et al.. (2013). The Human Melanoma Side Population Displays Molecular and Functional Characteristics of Enriched Chemoresistance and Tumorigenesis. PLoS ONE. 8(10). e76550–e76550. 40 indexed citations
7.
broeck, Anke Van den, et al.. (2012). Molecular markers associated with outcome and metastasis in human pancreatic cancer. Journal of Experimental & Clinical Cancer Research. 31(1). 68–68. 62 indexed citations
8.
broeck, Anke Van den, Lies Gremeaux, Baki Topal, & Hugo Vankelecom. (2012). Human pancreatic adenocarcinoma contains a side population resistant to gemcitabine. BMC Cancer. 12(1). 354–354. 51 indexed citations
9.
Gremeaux, Lies, Qiuli Fu, Vik Van Duppen, et al.. (2009). Cancer stem cells in human pituitary adenoma: identification and characterization of a tumor ‘side population’. 2 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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