Motif Analysis
Motif Analysis is a network analysis technique that identifies and quantifies recurrent, statistically significant subgraph patterns—known as motifs—within complex networks to reveal underlying structural design principles and functional properties distinct from those discernible through global network metrics.
542
Publications
47.5K
Citations
2.3K
Authors
902
Institutions
Publications per year
2017–2026
216
542
Network Motifs: Simple Building Blocks of Complex Networks
Ron Milo, Shai S. Shen-Orr, Shalev Itzkovitz et al. · Science · 2002 · 7.5K citations
MEME-ChIP: motif analysis of large DNA datasets
Philip Machanick, Timothy L. Bailey · Bioinformatics · 2011 · 1.9K citations · Full text
Intensity and coherence of motifs in weighted complex networks
Jukka-Pekka Onnela, Jari Saramäki, János Kertész et al. · Physical Review E · 2005 · 1.1K citations · Full text
Olaf Sporns, Rolf Kötter · PLoS Biology · 2004 · 806 citations · Full text
1–5 of 542
2.3K
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5
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Centre National de la Recherche Scientifique, France
5 publications · 940 citations
5
h-index
5
h-index
1–5 of 2.3K
902
University of Washington
Seattle, United States
16 h-index
38 publications
6.7K citations

Centre National de la Recherche Scientifique
Paris, France
15 h-index
51 publications
6.6K citations
University of Illinois Urbana-Champaign
Urbana, United States
9 h-index
17 publications
565 citations
Harvard University
Cambridge, United States
8 h-index
17 publications
4.4K citations
The University of Tokyo
Tokyo, Japan
7 h-index
14 publications
735 citations
Martin Luther University Halle-Wittenberg
Halle, Germany
7 h-index
10 publications
638 citations

The University of Queensland
Brisbane, Australia
7 h-index
15 publications
7.6K citations

Universidade do Porto
Porto, Portugal
6 h-index
19 publications
740 citations
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30 publications · 3.6K citations
22
h-index
25 publications · 4.9K citations
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22 publications · 1K citations
16
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16 publications · 509 citations
15
h-index
11 publications · 1.3K citations
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