!!Natasa Przulj - Selected Publications
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The full list is in the CV at [https://life.bsc.es/iconbi/docs/NP_CV.pdf]\\ \\

__Citation indices from Google Scholar (on Feb 6, 2020):__
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| |All|Since 2015\\
|Citations|8501|4569\\
|h-index|40|35\\
|i10-index|65|56\\
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11. N. Malod-Dognin, J. Petschnigg, S. F. L. Windels, J. Povh, H. Hemmingway, R. Ketteler and N. Pržulj, Towards a data-integrated cell, Nature Communications, 10:805, 2019\\
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10. M. Costanzo, B. VanderSluis, E. N. Koch, A. Baryshnikova, C. Pons, G. Tan, W. Wang, M. Usaj, J. Hanchard, S. D. Lee, V. Pelechano, E. B. Styles, M. Billmann, J. van Leeuwen, N. van Dyk, Z.-Y. Lin, E. Kuzmin1, J. Nelson, J. S. Piotrowski, T. Srikumar, S. Bahr, Y. Chen, R. Deshpande, C. F. Kurat, S. C. Li, Z. Li, M. Mattiazzi Usaj, H. Okada, N. Pascoe, B.-J. San Luis, S. Sharifpoor, E. Shuteriqi, S. W. Simpkins, J. Snider, H. G. Suresh, Y. Tan, H. Zhu, N. Malod-Dognin, V. Janjic, N. Przulj, O. G. Troyanskaya, I. Stagljar, T. Xia, Y. Ohya, A.-C. Gingras, B. Raught, M. Boutros, L. M. Steinmetz, C. L. Moore, A. P. Rosebrock, A. A. Caudy, C. L. Myers, B. Andrews, C. Boone, “ A\\
global genetic interaction network maps a wiring diagram of cellular function,” Science, 353(6306):1381-1396, 2016 (Cited 14 times)\\
Journal Impact Factor = 34.661\\
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9. N. Przulj and N. Malod-Dognin, “Network analytics in the age of big data,” Science, 353(6295):123-124, 2016 (Cited 3 times)\\
Journal Impact Factor = 34.661\\
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8. V. Gligorijevic, N. Malod-Dognin and N. Przulj, “Patient-Specific Data Fusion for Cancer Stratification and Personalized Treatment,” Proceedings of the 2016 Pacific Symposium on Biocomputing (PSB), 21:321-332(2016), Big Island, Hawaii, USA, January 4-9, 2016 (Cited 4 times)\\
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7. O. N. Yaveroglu, N. Malod-Dognin, D. Davis, Z. Levnajic, V. Janjic, R. Karapandza, A. Stojmirovic, and N. Przulj, Revealing the Hidden Language of Complex Networks, Scientific Reports - Nature, 4:4547, 2014 (cited 32 times)\\
Journal Impact Factor = 5.228\\
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6.  Arabidopsis Interactome Mapping Consortium, Evidence for Network Evolution in an Arabidopsis Interactome Map, Science, 333(6042):601-607, 2011 (cited 439 times)\\
Journal Impact Factor = 34.661\\
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5. O. Kuchaiev, T. Milenkovic, V. Memisevic, W. Hayes, and N. Przulj, Topological network alignment uncovers biological function and phylogeny, J. Roy. Soc. Interface, 7:1341-1354, 2010 (cited 203 times)\\
Journal Impact Factor = 3.917\\
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4. N. Przulj, Biological Network Comparison Using Graphlet Degree Distribution, Bioinformatics 23(2): e177-e183, 2007. Also in Proceedings of ECCB’06, Eilat, Israel (18% acceptance rate) (cited 369 times)\\
Journal Impact Factor = 5.766\\
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3. M. Barrios-Rodiles, K. R. Brown, B. Ozdamar, Z. Liu, R. S. Donovan, F. Shinjo, Y. Liu, R. Bose, J. Dembowy, I. W. Taylor, V. Luga, N. Przulj, M. Robinson, H. Suzuki, Y. Hayashizaki, I. Jurisica, and J. L. Wrana, High-Throughput Mapping of a Dynamic Signaling Network in Mammalian Cells, Science, 307(5715):1621-1625, 2005 (cited 637 times)\\
Journal Impact Factor = 34.661\\
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2. N. Przulj, D. G. Corneil, and I. Jurisica, “Modeling Interactome: Scale-Free or Geometric?,” Bioinformatics, 20(18):3508-3515, 2004 (Cited 421 times)\\
Journal Impact Factor = 5.766\\
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1. A. D. King, N. Przulj, and I. Jurisica, “Protein complex prediction via cost-based clustering,” Bioinformatics, 20(17):3013 - 3020, 2004 (Cited 555 times)\\
Journal Impact Factor = 5.766