M. Guy Roukens

857 total citations
10 papers, 567 citations indexed

About

M. Guy Roukens is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, M. Guy Roukens has authored 10 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 1 paper in Surgery. Recurrent topics in M. Guy Roukens's work include Lymphatic System and Diseases (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and RNA modifications and cancer (2 papers). M. Guy Roukens is often cited by papers focused on Lymphatic System and Diseases (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and RNA modifications and cancer (2 papers). M. Guy Roukens collaborates with scholars based in Netherlands, United States and Australia. M. Guy Roukens's co-authors include Stefan Schulte‐Merker, Andreas van Impel, Dörte Schulte, Josi Peterson-Maduro, D.A. Baker, Dorien M. A. Hermkens, Johanna C. Fischer, Philip W. Ingham, Elke A. Ober and Zhonghua Zhao and has published in prestigious journals such as Nature Communications, Nature Cell Biology and Circulation Research.

In The Last Decade

M. Guy Roukens

9 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Guy Roukens Netherlands 9 343 329 148 90 72 10 567
Kelly L. Betterman Australia 10 272 0.8× 406 1.2× 133 0.9× 118 1.3× 121 1.7× 11 610
Aino Murtomäki United States 7 403 1.2× 215 0.7× 90 0.6× 72 0.8× 61 0.8× 8 611
Sherry Xie United Kingdom 5 188 0.5× 266 0.8× 91 0.6× 79 0.9× 92 1.3× 7 435
Hanna Heloterä Finland 7 302 0.9× 225 0.7× 123 0.8× 60 0.7× 46 0.6× 13 478
Tomoki Tamakoshi Japan 6 311 0.9× 374 1.1× 82 0.6× 166 1.8× 145 2.0× 7 570
Mari Kiyono Japan 13 330 1.0× 128 0.4× 82 0.6× 161 1.8× 74 1.0× 18 658
Renae Skoczylas Australia 8 151 0.4× 183 0.6× 72 0.5× 55 0.6× 50 0.7× 11 406
Laura Dupont Belgium 12 151 0.4× 155 0.5× 55 0.4× 64 0.7× 61 0.8× 14 427
Meredith Downes Australia 7 544 1.6× 340 1.0× 102 0.7× 118 1.3× 101 1.4× 7 800
Boris Bardot France 14 430 1.3× 161 0.5× 61 0.4× 27 0.3× 48 0.7× 19 623

Countries citing papers authored by M. Guy Roukens

Since Specialization
Citations

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

Fields of papers citing papers by M. Guy Roukens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Guy Roukens. 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 M. Guy Roukens. The network helps show where M. Guy Roukens may publish in the future.

Co-authorship network of co-authors of M. Guy Roukens

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

All Works

10 of 10 papers shown
2.
Roukens, M. Guy, Daniëlle Seinstra, Luca Braccioli, et al.. (2021). Regulation of a progenitor gene program by SOX4 is essential for mammary tumor proliferation. Oncogene. 40(45). 6343–6353. 14 indexed citations
3.
Lourenço, Ana Rita, M. Guy Roukens, Daniëlle Seinstra, et al.. (2020). C/EBPɑ is crucial determinant of epithelial maintenance by preventing epithelial-to-mesenchymal transition. Nature Communications. 11(1). 785–785. 31 indexed citations
4.
Roukens, M. Guy, Josi Peterson-Maduro, Michael Jeltsch, et al.. (2015). Functional Dissection of the CCBE1 Protein. Circulation Research. 116(10). 1660–1669. 39 indexed citations
5.
Guen, Ludovic Le, Terhi Kärpänen, Dörte Schulte, et al.. (2014). Ccbe1 regulates Vegfc-mediated induction of Vegfr3 signaling during embryonic lymphangiogenesis. Development. 141(6). 1239–1249. 135 indexed citations
6.
Impel, Andreas van, Zhonghua Zhao, Dorien M. A. Hermkens, et al.. (2014). Divergence of zebrafish and mouse lymphatic cell fate specification pathways. Development. 141(6). 1228–1238. 123 indexed citations
7.
Gordon, Kristiana, Dörte Schulte, Glen Brice, et al.. (2013). Mutation in Vascular Endothelial Growth Factor-C, a Ligand for Vascular Endothelial Growth Factor Receptor-3, Is Associated With Autosomal Dominant Milroy-Like Primary Lymphedema. Circulation Research. 112(6). 956–960. 125 indexed citations
8.
Roukens, M. Guy, Kazuki Kobayashi, Josi Peterson-Maduro, et al.. (2010). Control of endothelial sprouting by a Tel–CtBP complex. Nature Cell Biology. 12(10). 933–942. 39 indexed citations
9.
Roukens, M. Guy, et al.. (2008). Downregulation of Vertebrate Tel (ETV6) and Drosophila Yan Is Facilitated by an Evolutionarily Conserved Mechanism of F-Box-Mediated Ubiquitination. Molecular and Cellular Biology. 28(13). 4394–4406. 32 indexed citations
10.
Roukens, M. Guy, Alfred C.O. Vertegaal, Zeinab Anvarian, et al.. (2008). Identification of a New Site of Sumoylation on Tel (ETV6) Uncovers a PIAS-Dependent Mode of Regulating Tel Function. Molecular and Cellular Biology. 28(7). 2342–2357. 29 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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