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Albert-Laszlo Barabasi

Affiliations: 
University of Notre Dame, Notre Dame, IN, United States 
Area:
General Physics, Statistics
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Parents

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H. Eugene Stanley grad student 1994 Boston University (Physics Tree)

Children

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Maxim A Makeev grad student 1995-1999 (Physics Tree)
Choongseop Lee grad student 2000 Notre Dame
Reka Z. Albert grad student 2001 Notre Dame
Istvan Albert grad student 2001 Notre Dame
Ginestra Bianconi grad student 2002 Notre Dame
Ginestra Bianconi grad student 1999-2002
Zoltan Dezso grad student 2005 Notre Dame
Erzsebet Ravasz grad student 2005 Notre Dame
Soon-Hyung Yook grad student 2005 Notre Dame
Pu Wang grad student 2010 Notre Dame
Nicholas Blumm grad student 2012 Northeastern University
Dashun Wang grad student 2013 Northeastern University
Marc Santolini post-doc (SocTree)
Onur Varol post-doc 2017- Northeastern University (Computer Science Tree)
Deisy Morselli Gysi post-doc 2019- Northeastern University
Roberta Sinatra post-doc 2012-2016 (Physics Tree)

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Publications

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Aldana A, Sebek M, Ispirova G, et al. (2024) NetMedPy: A Python package for Large-Scale Network Medicine Screening. Biorxiv : the Preprint Server For Biology
Meng X, Varol O, Barabási AL. (2024) Hidden citations obscure true impact in science. Pnas Nexus. 3: pgae155
Morselli Gysi D, Barabási AL. (2023) Noncoding RNAs improve the predictive power of network medicine. Proceedings of the National Academy of Sciences of the United States of America. 120: e2301342120
Gan X, Shu Z, Wang X, et al. (2023) Network medicine framework reveals generic herb-symptom effectiveness of traditional Chinese medicine. Science Advances. 9: eadh0215
Barabási DL, Bianconi G, Bullmore E, et al. (2023) Neuroscience Needs Network Science. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 43: 5989-5995
Barabási DL, Bianconi G, Bullmore E, et al. (2023) Neuroscience needs Network Science. Arxiv
Wang XW, Madeddu L, Spirohn K, et al. (2023) Assessment of community efforts to advance network-based prediction of protein-protein interactions. Nature Communications. 14: 1582
Vasan K, Janosov M, Barabási AL. (2022) Quantifying NFT-driven networks in crypto art. Scientific Reports. 12: 2769
Morselli Gysi D, do Valle Í, Zitnik M, et al. (2021) Network medicine framework for identifying drug-repurposing opportunities for COVID-19. Proceedings of the National Academy of Sciences of the United States of America. 118
Gysi DM, Do Valle Í, Zitnik M, et al. (2020) Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19. Arxiv
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