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Cited by 398

The DOI matches its Crossref record; 256 of the 256 references it cites were found in a registry or an index.

Graph theory and networks in Biology

Open access
Mason, O., Verwoerd, M.·2007·IET Systems Biology

Abstract

A survey of the use of graph theoretical techniques in Biology is presented. In particular, recent work on identifying and modelling the structure of bio-molecular networks is discussed, as well as the application of centrality measures to interaction networks and research on the hierarchical structure of such networks and network motifs. Work on the link between structural network properties and dynamics is also described, with emphasis on synchronisation and disease propagation.

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Metadata

Authors
Mason, O., & Verwoerd, M.
Venue
IET Systems Biology
Published
2007-03-19
Volume
1
Issue
2
Pages
89-119
ISSN
  • 1751-8849 (ISSN-L)
  • 1751-8857
OpenAlex
W2088062845
Cited by
398
References
256
FWCI
8.14
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Graph theory and networks in Biology. https://app.cochat.ai/papers/10.1049/iet-syb:20060038
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Mason, O., & Verwoerd, M. (2007). Graph theory and networks in Biology. IET Systems Biology. https://doi.org/10.1049/iet-syb%3A20060038

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.