Natasa Przulj
Molecular Biology · 2004–2016
A researcher in the Science corpus: 9 papers; trusts 40 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 161 citations into it; #1,226 of 17,773 by trust here, #4,474 by citations
- Statistical and Nonlinear Physics — 37 citations into it; #4,132 of 10,127 by trust here, #3,616 by citations
- Computational Theory and Mathematics — 23 citations into it; #4,695 of 12,182 by trust here, #8,756 by citations
- Computational Biology & Bioinformatics — 17 citations into it
- Cell Biology — 15 citations into it; #359 of 2,073 by trust here, #1,829 by citations
- Algorithms & Complexity — 11 citations into it
- Artificial Intelligence — 9 citations into it
- Network Science & Complex Systems — 8 citations into it
Whom Natasa Przulj trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven H. Strogatz
- Gary D. Bader
- Albert-László Barabási
- Alan M. Frieze
- Réka Albert
- S. Shen-Orr
- Duncan J. Watts
- C. von Mering
- Christopher W. V. Hogue
- Mark Newman
Who trusts Natasa Przulj overall
- Mario Cannataro
- Tijana Milenkoviæ
- Marinka Zitnik
- Oliver Mason
- Tomaž Hočevar
- Roded Sharan
- Giorgos Bouritsas
- Pietro Hiram Guzzi
- M. Siegal
- Xiaoli Li
Papers from Natasa Przulj's perspective
Ordered by how strongly the researchers Natasa Przulj trusts endorse each paper. Same corpus, a different order for every researcher.
- Collective dynamics of ‘small-world’ networks
- A comprehensive two-hybrid analysis to explore the yeast protein interactome (Proceedings of the National Academy of Sciences of the United States of America)
- Correlation between transcriptome and interactome mapping data from Saccharomyces cerevisiae (Nature Genetics)
- Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry (Nature)
- A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae (Nature)
- Comparative assessment of large-scale data sets of protein–protein interactions (Nature)
- Network motifs in the transcriptional regulation network of Escherichia coli (Nature Genetics)
- Hierarchical Organization of Modularity in Metabolic Networks (Science)
- Exploring complex networks (Nature)
- The average distances in random graphs with given expected degrees
Their papers
- A global interaction network maps a wiring diagram of cellular function (2016) — 1,113 citations
- Graphlet-based measures are suitable for biological network comparison (2013) — 89 citations
- Revealing the Hidden Language of Complex Networks (2014) — 234 citations
- High-Throughput Mapping of a Dynamic Signaling Network in Mammalian Cells (2005) — 776 citations
- Functional topology in a network of protein interactions (2004) — 449 citations
- Protein complex prediction via cost-based clustering (2004) — 680 citations
- Uncovering Biological Network Function via Graphlet Degree Signatures (2008) — 392 citations
- Modeling interactome: scale-free or geometric? (2004) — 711 citations
- GR-Align: fast and flexible alignment of protein 3D structures using graphlet degree similarity (2014) — 66 citations