M. Guy Roukens

857 citations
10 papers · 567 · h-index 9

Impact in

  • Oncology top 10%
    • Lymphatic System and Diseases
  • Cell Biology top 10%
    • Zebrafish Biomedical Research Applications
    • Hippo pathway signaling and YAP/TAZ

Papers in

    • Angiogenesis and VEGF in Cancer 3
    • RNA modifications and cancer 2
    • Ubiquitin and proteasome pathways 2
    • Kruppel-like factors research 1
    • TGF-β signaling in diseases 1
    • Histone Deacetylase Inhibitors Research 1
    • Lymphatic System and Diseases 4
    • Cancer Cells and Metastasis 2

M. Guy Roukens

9 papers receiving 558 citations

Peers

M. Guy Roukens
Comparison fields: 5 of 56
  • Oncology 329
  • Cell Biology 148
  • Molecular Biology 343
  • Physiology 72
  • Cellular and Molecular Neuroscience 46
Replace Kelly L. Betterman with:
Kelly L. Betterman Australia
Hanna Heloterä Finland
Meredith Downes Australia
Tomoki Tamakoshi Japan
Aino Murtomäki United States
Mari Kiyono Japan
Sherry Xie United Kingdom
Renae Skoczylas Australia
Anna Kuta United Kingdom
Laura Dupont Belgium
M. Guy Roukens relative to Kelly L. Betterman Australia Kelly L. Betterman's profile →
Citations per field
00.5×1.7×
Kelly L. Betterman · 1×
Citations per year

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-authors

The 25 scholars most cited alongside M. Guy Roukens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Guy Roukens Line = papers co-authored together M. Guy Roukens links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2014135
2 2013125
3 2014123
4 201039
5 201539
6 200832
7 202031
8 200829
9 202114
10 20250

About M. Guy Roukens

M. Guy Roukens is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Hematology, having authored 10 papers that have together received 567 indexed citations. Recurring topics across this work include Lymphatic System and Diseases (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Cancer Cells and Metastasis (2 papers), RNA modifications and cancer (2 papers), Ubiquitin and proteasome pathways (2 papers), Kruppel-like factors research (1 paper), TGF-β signaling in diseases (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Oncology (329 citations), Cell Biology (148 citations), Molecular Biology (343 citations), Physiology (72 citations) and Cellular and Molecular Neuroscience (46 citations). M. Guy Roukens has collaborated with scholars based in Netherlands, United States and Australia. Frequent co-authors include Stefan Schulte‐Merker, Andreas van Impel, Dörte Schulte, Josi Peterson-Maduro, D.A. Baker, Zhonghua Zhao, Dorien M. A. Hermkens, Philip W. Ingham, Henricus J. Duckers and Johanna C. Fischer. Their work appears in journals such as Circulation Research, Molecular and Cellular Biology, Development, Nature Cell Biology and Oncogene.

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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