Gert Van Peer

1.4k citations
18 papers · 882 · h-index 14

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Neurology top 10%
    • Neuroblastoma Research and Treatments

Papers in

    • Signaling Pathways in Disease 5
    • RNA modifications and cancer 4
    • RNA Research and Splicing 4
    • Molecular Biology Techniques and Applications 3
    • MicroRNA in disease regulation 7
    • Cancer-related molecular mechanisms research 3

Gert Van Peer

17 papers receiving 874 citations

Peers

Gert Van Peer
Comparison fields: 5 of 82
  • Cancer Research 521
  • Neurology 157
  • Molecular Biology 655
  • Cell Biology 102
  • Dermatology 33
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Citations per field
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Citations per year

Countries citing papers authored by Gert Van Peer

Since Specialization
Citations

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

Fields of papers citing papers by Gert Van Peer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gert Van Peer. 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 Gert Van Peer. The network helps show where Gert Van Peer may publish in the future.

Co-authors

The 25 scholars most cited alongside Gert Van Peer, 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 Gert Van Peer Line = papers co-authored together Gert Van Peer links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2010252
2 201294
3 201488
4 201469
5 201259
6 201452
7 201251
8
The miR-17-92 microRNA cluster regulates multiple components of the TGF-β pathway in neuroblastoma
201141
9 201437
10 201533
11 201432
12 201620
13 200316
14 201814
15 201312
16 201811
17
The MYCN/miR-26a-5p/LIN28B regulatory axis controls MYCN-driven LIN28B upregulation in neuroblastoma
20141
18 20250

About Gert Van Peer

Gert Van Peer is a scholar working on Molecular Biology, Cancer Research, Neurology, Cell Biology and Immunology, having authored 18 papers that have together received 882 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Signaling Pathways in Disease (5 papers), Neuroblastoma Research and Treatments (5 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (4 papers), Cancer-related molecular mechanisms research (3 papers), Molecular Biology Techniques and Applications (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Cancer Research (521 citations), Neurology (157 citations), Molecular Biology (655 citations), Cell Biology (102 citations) and Dermatology (33 citations). Gert Van Peer has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Jo Vandesompele, Pieter Mestdagh, Johannes H. Schulte, Frank Speleman, Francis Impens, Alexander Schramm, Michael Dews, Kris Gevaert, Massimo Zollo and Erik Fredlund. Their work appears in journals such as PLoS ONE, Database, Scientific Reports, Genome biology and Cancer Letters.

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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