Anne van Galen

1.2k total citations
11 papers, 469 citations indexed

About

Anne van Galen is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Anne van Galen has authored 11 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Cancer Research and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Anne van Galen's work include Cancer Genomics and Diagnostics (4 papers), Genetic factors in colorectal cancer (4 papers) and Cancer Cells and Metastasis (4 papers). Anne van Galen is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Genetic factors in colorectal cancer (4 papers) and Cancer Cells and Metastasis (4 papers). Anne van Galen collaborates with scholars based in Netherlands, United States and Belgium. Anne van Galen's co-authors include Anieta M. Sieuwerts, John W.M. Martens, John A. Foekens, Zarina S. Lalmahomed, Jan N.M. IJzermans, Marcel Smid, Vanja de Weerd, Jaco Kraan, Joan Bolt‐de Vries and Bianca Mostert and has published in prestigious journals such as PLoS ONE, Cancer Research and Annals of Oncology.

In The Last Decade

Anne van Galen

11 papers receiving 467 citations

Peers

Anne van Galen

ONCOL

PRM

PFM

Senthilkumar Damodaran United States

Ioanna Giopanou Greece

Chang Ik Yoon South Korea

Rajith Bhaskaran Netherlands

Vignesh Sundararajan Singapore

Andrea Mignatti United States

Shiqi Ren China

Timon Heide United Kingdom

Helene Myrtue Nielsen Denmark

Senthilkumar Damodaran United States

Anne van Galen

106 ×0.4

ONCOL

227 ×1.0

292 ×1.8

85 ×0.8

PRM

83 ×0.9

PFM

Citations per year, relative to Anne van Galen Anne van Galen (= 1×) peers Senthilkumar Damodaran

Countries citing papers authored by Anne van Galen

Since Specialization

Citations

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

Fields of papers citing papers by Anne van Galen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne van Galen

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

All Works

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11 of 11 papers shown

Smid, Marcel, Robert R.J. Coebergh van den Braak, Harmen J.G. van de Werken, et al.. (2018). Gene length corrected trimmed mean of M-values (GeTMM) processing of RNA-seq data performs similarly in intersample analyses while improving intrasample comparisons. BMC Bioinformatics. 19(1). 236–236. 115 indexed citations

Kloosterman, Wigard P., Robert R.J. Coebergh van den Braak, Mark Pieterse, et al.. (2017). A Systematic Analysis of Oncogenic Gene Fusions in Primary Colon Cancer. Cancer Research. 77(14). 3814–3822. 67 indexed citations

Barker, Anna, Anne van Galen, Ajay K. Sethi, Daniel Shirley, & Nasia Safdar. (2017). Tobacco use as a screener for Clostridium difficile infection outcomes. Journal of Hospital Infection. 98(1). 36–39. 7 indexed citations

Braak, Robert R.J. Coebergh van den, Anieta M. Sieuwerts, Raju Kandimalla, et al.. (2017). High mRNA expression of splice variant SYK short correlates with hepatic disease progression in chemonaive lymph node negative colon cancer patients. PLoS ONE. 12(9). e0185607–e0185607. 13 indexed citations

Sieuwerts, Anieta M., Marcel Smid, Joan Bolt‐de Vries, et al.. (2016). An 8-gene mRNA expression profile in circulating tumor cells predicts response to aromatase inhibitors in metastatic breast cancer patients. BMC Cancer. 16(1). 123–123. 21 indexed citations

Onstenk, Wendy, Anieta M. Sieuwerts, Bianca Mostert, et al.. (2016). Molecular characteristics of circulating tumor cells resemble the liver metastasis more closely than the primary tumor in metastatic colorectal cancer. Oncotarget. 7(37). 59058–59069. 34 indexed citations

Mostert, Bianca, Anieta M. Sieuwerts, Joan Bolt‐de Vries, et al.. (2015). mRNA expression profiles in circulating tumor cells of metastatic colorectal cancer patients. Molecular Oncology. 9(4). 920–932. 39 indexed citations

Mostert, Bianca, Anieta M. Sieuwerts, Jaco Kraan, et al.. (2014). Gene expression profiles in circulating tumor cells to predict prognosis in metastatic breast cancer patients. Annals of Oncology. 26(3). 510–516. 45 indexed citations

Mostert, Bianca, Yuqiu Jiang, Anieta M. Sieuwerts, et al.. (2012). KRAS and BRAF mutation status in circulating colorectal tumor cells and their correlation with primary and metastatic tumor tissue. International Journal of Cancer. 133(1). 130–141. 110 indexed citations

10.

Sieuwerts, Anieta M., Anne van Galen, Helenius J. Kloosterboer, et al.. (2011). Hormone replacement therapy dependent changes in breast cancer‐related gene expression in breast tissue of healthy postmenopausal women. Molecular Oncology. 5(6). 504–516. 5 indexed citations

11.

Sieuwerts, Anieta M., Marleen Ansems, Maxime P. Look, et al.. (2010). Clinical significance of the nuclear receptor co-regulator DC-SCRIPT in breast cancer: an independent retrospective validation study. Breast Cancer Research. 12(6). R103–R103. 13 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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