2026 Natasa Przulj: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	44	7471	7252	97	95	89	10112

Research.com Recognitions

2025 - Research.com Computer Science in Spain Leader Award
2022 - Research.com Computer Science in Spain Leader Award
2017 - Member of Academia Europaea

Overview

Natasa Przulj is affiliated with the Institució Catalana de Recerca i Estudis Avançats in Spain. Their research primarily contributes to the field of Biochemistry, Genetics and Molecular Biology, with a focus on Molecular Biology, Computational Theory and Mathematics, Neurology, Infectious Diseases, and Genetics.

The scientist's work encompasses a range of topics including Bioinformatics and Genomic Networks, Gene expression and cancer classification, Computational Drug Discovery Methods, Gene Regulatory Network Analysis, Genetics, Bioinformatics, and Biomedical Research, Parkinson's Disease Mechanisms and Treatments, and Biomedical Text Mining and Ontologies.

Recent publications by Natasa Przulj include:

Current and future directions in network biology, 2024, Bioinformatics Advances
Unveiling new disease, pathway, and gene associations via multi-scale neural network, 2020, PLoS ONE
Drugst.One - a plug-and-play solution for online systems medicine and network-based drug repurposing, 2024, Nucleic Acids Research
Multi-omics integration of scRNA-seq time series data predicts new intervention points for Parkinson's disease, 2024, Scientific Reports
Chromatin network markers of leukemia, 2020, Bioinformatics

Frequent co-authors with whom Natasa Przulj has collaborated include Noël Malod-Dognin, Alexandros Xenos, Gaia Ceddia, Sam F. L. Windels, and Katarina Mihajlović.

The scientist has published extensively in several venues, with a notable presence in:

Bioinformatics
bioRxiv (Cold Spring Harbor Laboratory)
arXiv (Cornell University)
Bioinformatics Advances
PLoS ONE

Natasa Przulj's research covers areas related to the analysis and modeling of genomic networks, computational methods for drug discovery, and the application of multi-omics data integration to understand complex diseases like Parkinson's disease.

Among the recognitions received, Natasa Przulj became a Member of Academia Europaea in 2017.

Best Publications

A global genetic interaction network maps a wiring diagram of cellular function

Michael Costanzo;Benjamin VanderSluis;Elizabeth N. Koch;Anastasia Baryshnikova

1386
Citations
Evidence for Network Evolution in an Arabidopsis Interactome Map

Matija Dreze;Anne-Ruxandra Carvunis;Benoit Charloteaux

948
Citations
High-throughput mapping of a dynamic signaling network in mammalian cells.

Miriam Barrios-Rodiles;Kevin R. Brown;Barish Ozdamar;Barish Ozdamar;Rohit Bose;Rohit Bose

888
Citations
Protein complex prediction via cost-based clustering

A. D. King;N. Pržulj;I. Jurisica

828
Citations
Functional topology in a network of protein interactions

N. Pržulj;D.A. Wigle;I. Jurisica

526
Citations
Integrative network alignment reveals large regions of global network similarity in yeast and human

Oleksii Kuchaiev;Nataša Pržulj

343
Citations
Methods for biological data integration: perspectives and challenges

Vladimir Gligorijević;Nataša Pržulj

310
Citations
Optimal network alignment with graphlet degree vectors.

Tijana Milenković;Tijana Milenković;Weng Leong Ng;Wayne Hayes;Wayne Hayes;Nataša Pržulj

270
Citations
Revealing the Hidden Language of Complex Networks

Ömer Nebil Yaveroğlu;Noël Malod-Dognin;Darren Davis;Zoran Levnajic

265
Citations
Integrative methods for analyzing big data in precision medicine

Vladimir Gligorijević;Noël Malod-Dognin;Nataša Pržulj

218
Citations
Geometric De-noising of Protein-Protein Interaction Networks

Oleksii Kuchaiev;Marija Rasajski;Marija Rasajski;Desmond J. Higham;Natasa Przulj

204
Citations
Efficient estimation of graphlet frequency distributions in protein--protein interaction networks

N. Pržulj;D. G. Corneil;I. Jurisica

188
Citations
Characterization of the proteasome interaction network using a QTAX-based tag-team strategy and protein interaction network analysis

Cortnie Guerrero;Tijana Milenkovic;Natasa Przulj;Peter Kaiser

175
Citations
GraphCrunch: A tool for large network analyses

Tijana Milenković;Jason Lai;Nataša Pržulj

168
Citations
L-GRAAL: Lagrangian graphlet-based network aligner.

Noël Malod-Dognin;Nataša Pržulj

167
Citations
Network analytics in the age of big data

Nataša Pržulj;Noël Malod-Dognin

155
Citations
Fitting a geometric graph to a protein–protein interaction network

Desmond J. Higham;Marija Rašajski;Nataša Pržulj

154
Citations
Not all scale free networks are Born equal: the role of the seed graph in PPI network emulation

Fereydoun Hormozdiari;Petra Berenbrink;Nataša Pržulj;Cenk Sahinalp

152
Citations
Dominating biological networks.

Tijana Milenković;Vesna Memišević;Anthony Bonato;Nataša Pržulj

149
Citations
Modeling Interactome: Scale-Free or Geometric?

Natasa Przulj;Derek G. Corneil;Igor Jurisica

143
Citations
Systems-level cancer gene identification from protein interaction network topology applied to melanogenesis-related functional genomics data

Tijana Milenković;Vesna Memišević;Anand K. Ganesan;Nataša Pržulj

114
Citations
Uncovering Biological Network Function via Graphlet Degree Signatures

Tijana Milenkovic;Natasa Przulj

80
Citations
Proper evaluation of alignment-free network comparison methods

Ömer Nebil Yaveroğlu;Tijana Milenković;Nataša Pržulj

74
Citations
Geometric evolutionary dynamics of protein interaction networks.

Natasa Przulj;Oleksii Kuchaiev;Aleksandar Stevanovic;Wayne B. Hayes

72
Citations
A framework for FPGA acceleration of large graph problems: Graphlet counting case study

Brahim Betkaoui;David B. Thomas;Wayne Luk;Natasa Przulj

65
Citations
Optimized null model for protein structure networks.

Tijana Milenković;Ioannis Filippis;Michael Lappe;Nataša Pržulj

58
Citations
Bridging the gaps in systems biology.

Marija Cvijovic;Joachim Almquist;Jonas Hagmar;Stefan Hohmann

38
Citations
Complementarity of network and sequence information in homologous proteins.

Vesna Memisevic;Tijana Milenkovic;Natasa Przulj

31
Citations
An integrative approach to modeling biological networks.

Vesna Memisevic;Tijana Milenkovic;Natasa Przulj

26
Citations
Anti-nicastrin monoclonal antibodies elicit pleiotropic anti-tumour pharmacological effects in invasive breast cancer cells

Aleksandra Filipović;Ylenia Lombardo;Monica Fronato;Joel Abrahams

23
Citations
ergm.graphlets: A Package for ERG Modeling Based on Graphlet Statistics

Ömer Nebil Yaveroğlu;Sean M. Fitzhugh;Maciej Kurant;Athina Markopoulou

21
Citations
Learning the structure of protein-protein interaction networks.

Oleksii Kuchaiev;Natasa Przulj

17
Citations

Frequent Co-Authors

Anne J. Ridley University of Bristol

Jeffery L. Dangl University of North Carolina at Chapel Hill

Jens Nielsen Chalmers University of Technology

Wayne Luk Imperial College London

Doreen Ware Cold Spring Harbor Laboratory

David E. Hill Harvard University

Robert J. Schmitz University of Georgia

Frederick P. Roth Lunenfeld-Tanenbaum Research Institute

Marc Vidal Harvard University

Igor Jurisica University Health Network

External Links

Personal website of Natasa Przulj

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