Concepedia

Author

Wout Megchelenbrink

Radboud University Medical CenterORCID

Also Known As

Megchelenbrink, Wout, Wout L Megchelenbrink, Wout L. Megchelenbrink, Wout Megchelenbrink, Wout. L. Megchelenbrink, Wouter L. Megchelenbrink

37

Publications

1.4K

Citations

12

H-Index

22

Concepts

All Affiliations

Radboud University Medical CenterRadboud University NijmegenPrincess Máxima CenterRadboud Institute for Molecular Life SciencesUniversity of Campania "Luigi Vanvitelli"
WM

About

Wout Megchelenbrink is an author at Radboud University Medical Center specializing in medicine, genetics, and computational biology.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Medicine

3

3

127

2

Cell Biology

2

2

98

3

Engineering

1

1

24

4

Natural Sciences

1

1

29

5

Molecular Biology

1

1

29

Wout Megchelenbrink

×

13

Publications

1.4K

Citations

12

H-Index

YearCitations

β-Glucan Reverses the Epigenetic State of LPS-Induced Immunological Tolerance

Boris Novakovic, Ehsan Habibi, Shuang-Yin Wang,

Cell

2016

653

optGpSampler: An Improved Tool for Uniformly Sampling the Solution-Space of Genome-Scale Metabolic Networks

Wout Megchelenbrink, Martijn A. Huynen, Elena Marchiori

PLoS ONE

2014

188

Trained innate immunity, long-lasting epigenetic modulation, and skewed myelopoiesis by heme

Elisa Jentho, Cristian Ruiz-Moreno, Boris Novakovic,

Proceedings of the National Academy of Sciences

2021

119

STARR-seq identifies active, chromatin-masked, and dormant enhancers in pluripotent mouse embryonic stem cells

Tianran Peng, Yanan Zhai, Yaser Atlasi,

Genome biology

2020

87

Epigenetic modulation of a hardwired 3D chromatin landscape in two naive states of pluripotency

Yaser Atlasi, Wout Megchelenbrink, Tianran Peng,

Nature Cell Biology

2019

74

Dynamic CpG methylation delineates subregions within super-enhancers selectively decommissioned at the exit from naive pluripotency

Emma Bell, Edward Curry, Wout Megchelenbrink,

Nature Communications

2020

64

Synthetic dosage lethality in the human metabolic network is highly predictive of tumor growth and cancer patient survival

Wout Megchelenbrink, Rotem Katzir, Xiaowen Lu,

Proceedings of the National Academy of Sciences

2015

58

Longitudinal single-cell transcriptomics reveals distinct patterns of recurrence in acute myeloid leukemia

Yanan Zhai, Prashant Singh, Anna Dolnik,

Molecular Cancer

2022

46

Extensive epigenomic integration of the glucocorticoid response in primary human monocytes and in vitro derived macrophages

Cheng Wang, Luca Nanni, Boris Novakovic,

Scientific Reports

2019

35

WeGET: predicting new genes for molecular systems by weighted co-expression

Radek Szklarczyk, Wout Megchelenbrink, Pavel Čížek,

Nucleic Acids Research

2015

29

Page 1