Author

M. Zanin

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2 Biophysics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 3 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:E. coli· 1 Assay:metagenomics· 1 Organism:mouse· 1

Frequent Co-Authors

R. J. Webby· 2 shared S.-S. Wong· 2 shared A. Nicchi· 1 shared A. Ruiba· 1 shared B. J. Cowling· 1 shared B. Xiao· 1 shared B. Yang· 1 shared C. L. Chow· 1 shared

Activity by Year

2016-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersImmunology

R. J. Webby

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

A hemagglutinin and neuraminidase biased immunological memory shapes the dynamics of antibody responses to Influenza A virus

X. Lin, J. Wang, S. Ling, C. Xiao, Z. Liang, C. L. Chow, B. Yang, B. Xiao, B. J. Cowling, R. J. Webby, M. Zanin, S.-S. Wong

The paper shows that pre-existing immunity to specific influenza antigens biases post-infection antibody responses, altering their dynamics and breadth.

bioRxiv · Mar 14, 2024 · PreprintImmunology

The episodic resurgence of highly pathogenic avian influenza H5 virus

R. Xie, K. M. Edwards, M. Wille, X. Wei, S.-S. Wong, M. Zanin, R. El-Shesheny, M. Ducatez, L. L. M. Poon, G. Kayali, R. J. Webby, V. Dhanasekaran

This study tracks the resurgence of H5N1 avian influenza, identifying key events and genetic changes that contributed to its global spread from 2016/17 to 2021/22.

bioRxiv · Dec 18, 2022Microbiology

Evaluation of bacterial proliferation with a microfluidic-based device: Antibiochip.

M. Pizzi, V. Gallo, A. Ruiba, M. Zanin, P. Begnamino, S. Ledda, T. Pesce, G. Melioli

The paper evaluates the Antibiochip's ability to measure E. coli proliferation and antibiotic susceptibility, showing good linearity and rapid results.

bioRxiv · Oct 3, 2019Microbiology

Combining complex networks and data mining: why and how

M. Zanin, D. Papo, P. A. Sousa, E. Menasalvas, A. Nicchi, E. Kubik, S. Boccaletti

This paper reviews how complex network theory and data mining can be synergistically combined to improve information extraction from complex systems.

bioRxiv · May 21, 2016 · PreprintBiophysics