Gert Van Peer

1.4k total citations
18 papers, 882 citations indexed

About

Gert Van Peer is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Gert Van Peer has authored 18 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Neurology. Recurrent topics in Gert Van Peer's work include MicroRNA in disease regulation (7 papers), Signaling Pathways in Disease (5 papers) and Neuroblastoma Research and Treatments (5 papers). Gert Van Peer is often cited by papers focused on MicroRNA in disease regulation (7 papers), Signaling Pathways in Disease (5 papers) and Neuroblastoma Research and Treatments (5 papers). Gert Van Peer collaborates with scholars based in Belgium, United States and Germany. Gert Van Peer's co-authors include Jo Vandesompele, Pieter Mestdagh, Johannes H. Schulte, Frank Speleman, Kris Gevaert, Kristoffer von Stedingk, Michael Dews, Massimo Zollo, Andrei Thomas‐Tikhonenko and Stefanie Schulte and has published in prestigious journals such as Nucleic Acids Research, Molecular Cell and PLoS ONE.

In The Last Decade

Gert Van Peer

17 papers receiving 874 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gert Van Peer Belgium	14	655	521	157	102	77	18	882
Maria L. Naylor United States	11	878 1.3×	154 0.3×	71 0.5×	83 0.8×	37 0.5×	32	1.2k
Cristian Papazoglu United States	6	572 0.9×	153 0.3×	55 0.4×	66 0.6×	39 0.5×	8	801
Nicole R. Infarinato United States	9	274 0.4×	133 0.3×	184 1.2×	66 0.6×	69 0.9×	10	503
Rachel Litman Flynn United States	12	1.3k 2.0×	162 0.3×	42 0.3×	76 0.7×	42 0.5×	18	1.5k
Peter J. Cook United States	7	605 0.9×	133 0.3×	13 0.1×	77 0.8×	58 0.8×	9	804
Yeran Yang China	13	457 0.7×	150 0.3×	46 0.3×	34 0.3×	61 0.8×	39	622
Katerina Dyomina United States	10	327 0.5×	239 0.5×	45 0.3×	15 0.1×	177 2.3×	10	792
Shannon L. Carskadon United States	10	492 0.8×	167 0.3×	13 0.1×	252 2.5×	48 0.6×	11	929
Karen M. Watters Ireland	18	695 1.1×	443 0.9×	270 1.7×	54 0.5×	124 1.6×	22	1.0k
Nadine Jalkh Lebanon	13	541 0.8×	90 0.2×	33 0.2×	34 0.3×	96 1.2×	38	751

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-authorship network of co-authors of Gert Van Peer

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

All Works

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18 of 18 papers shown

Wolfs, Leen, Saúl Martínez‐Montero, Inès Royaux, et al.. (2025). The MIR-NAT MAPT-AS1 does not regulate Tau expression in human neurons. PLoS ONE. 20(1). e0314973–e0314973.

Vlieghere, Elly De, Amanda Gonçalves, Boél De Paepe, et al.. (2018). Localization and Expression of Nuclear Factor of Activated T-Cells 5 in Myoblasts Exposed to Pro-inflammatory Cytokines or Hyperosmolar Stress and in Biopsies from Myositis Patients. Frontiers in Physiology. 9. 126–126. 11 indexed citations

Peer, Gert Van, Evelien Mets, Steve Lefever, et al.. (2018). A high-throughput 3’ UTR reporter screening identifies microRNA interactomes of cancer genes. PLoS ONE. 13(3). e0194017–e0194017. 14 indexed citations

Peer, Gert Van, Michiel Stock, Jasper Anckaert, et al.. (2016). miSTAR: miRNA target prediction through modeling quantitative and qualitative miRNA binding site information in a stacked model structure. Nucleic Acids Research. 45(7). gkw1260–gkw1260. 20 indexed citations

Beckers, Anneleen, Gert Van Peer, Daniel R. Carter, et al.. (2015). MYCN-driven regulatory mechanisms controlling LIN28B in neuroblastoma. Cancer Letters. 366(1). 123–132. 33 indexed citations

Beckers, Anneleen, Andrew D. Ludwig, Gert Van Peer, et al.. (2014). The MYCN/miR-26a-5p/LIN28B regulatory axis controls MYCN-driven LIN28B upregulation in neuroblastoma. Ghent University Academic Bibliography (Ghent University). 1 indexed citations

Mets, Evelien, Gert Van Peer, Joni Van der Meulen, et al.. (2014). MicroRNA-128-3p is a novel oncomiR targeting PHF6 in T-cell acute lymphoblastic leukemia. Haematologica. 99(8). 1326–1333. 52 indexed citations

Vanhauwaert, Suzanne, Gert Van Peer, Ali Rihani, et al.. (2014). Expressed Repeat Elements Improve RT-qPCR Normalization across a Wide Range of Zebrafish Gene Expression Studies. PLoS ONE. 9(10). e109091–e109091. 37 indexed citations

Mets, Evelien, Joni Van der Meulen, Gert Van Peer, et al.. (2014). MicroRNA-193b-3p acts as a tumor suppressor by targeting the MYB oncogene in T-cell acute lymphoblastic leukemia. Leukemia. 29(4). 798–806. 88 indexed citations

10.

Beckers, Anneleen, Gert Van Peer, Daniel R. Carter, et al.. (2014). MYCN-targeting miRNAs are predominantly downregulated during MYCN-driven neuroblastoma tumor formation. Oncotarget. 6(7). 5204–5216. 32 indexed citations

11.

Peer, Gert Van, Steve Lefever, Jasper Anckaert, et al.. (2014). miRBase Tracker: keeping track of microRNA annotation changes. Database. 2014. 69 indexed citations

12.

Rihani, Ali, Tom Van Maerken, Filip Pattyn, et al.. (2013). Effective Alu Repeat Based RT-Qpcr Normalization in Cancer Cell Perturbation Experiments. PLoS ONE. 8(8). e71776–e71776. 12 indexed citations

13.

Peer, Gert Van, Pieter Mestdagh, & Jo Vandesompele. (2012). Accurate RT-qPCR gene expression analysis on cell culture lysates. Scientific Reports. 2(1). 222–222. 51 indexed citations

14.

Dynoodt, Peter, Pieter Mestdagh, Gert Van Peer, et al.. (2012). Identification of miR-145 as a Key Regulator of the Pigmentary Process. Journal of Investigative Dermatology. 133(1). 201–209. 94 indexed citations

15.

Decock, Anneleen, Maté Ongenaert, Jasmien Hoebeeck, et al.. (2012). Genome-wide promoter methylation analysis in neuroblastoma identifies prognostic methylation biomarkers. Genome biology. 13(10). R95–R95. 59 indexed citations

16.

Mestdagh, Pieter, Francis Impens, Erik Fredlund, et al.. (2011). The miR-17-92 microRNA cluster regulates multiple components of the TGF-β pathway in neuroblastoma. Ghent University Academic Bibliography (Ghent University). 41 indexed citations

17.

Mestdagh, Pieter, Francis Impens, Erik Fredlund, et al.. (2010). The miR-17-92 MicroRNA Cluster Regulates Multiple Components of the TGF-β Pathway in Neuroblastoma. Molecular Cell. 40(5). 762–773. 252 indexed citations

18.

Bergman, Richard N., et al.. (2003). Compound heterozygosity for mutations in the hairless gene causes atrichia with papular lesions. British Journal of Dermatology. 148(3). 553–557. 16 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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