Steven Maere

Papers

Total Citations

H-Index

About

Steven Maere is a leading figure in computational biology, whose work bridges evolutionary genomics, network biology, and systems biology. He is best known for pioneering the inference and analysis of gene regulatory networks, particularly through the development of the widely-used tool **GeneNetWeaver** (GNW), which has become a gold standard for benchmarking network inference algorithms. His research has fundamentally advanced our understanding of how gene duplication and divergence shape the evolution of biological networks, with key contributions to the study of network robustness and the dynamics of transcriptional regulation. With over 10,000 citations, his work has had a profound impact on the field, especially through landmark papers on the evolution of modularity and the role of noise in gene expression. Maere’s notable achievements include receiving an ERC Starting Grant and being recognized as a Highly Cited Researcher. His research continues to inspire new approaches in synthetic biology and evolutionary systems biology, making him a pivotal figure for students and researchers interested in the intersection of genomics, network science, and evolution.