Author

Ilaria Rancan

Azienda Ospedaliera Universitaria SeneseORCID 0000-0001-6393-4212Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Francesca MontagnaniiD· 2 shared Mario TumbarelloiD· 2 shared Massimiliano FabbianiiD· 2 shared Agnese Verzuri· 1 shared Agostino OgnibeneiD· 1 shared Agostino RivaiD· 1 shared Alessandra VergoriiD· 1 shared Alessandro PancrazziiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersImmunology

Francesca MontagnaniORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

ImmunologyCell ReportsPeer-reviewedAug 27, 2024

B cell maturation restored ancestral germlines to control Omicron BA.2.86

Ida Paciello, Giulio Pierleoni, Elisa Pantano…·Emanuele Andreano

The paper analyzes neutralizing antibodies from vaccinated and hybrid immune individuals to show that restored B cell germlines enhance neutralization against SARS-CoV-2 variants like BA.2.86.

18 citationstop 3%

humanproteomics

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Genetic & Genomic MedicineHuman GeneticsPeer-reviewedDec 10, 2021

Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity.

Chiara Fallerini, Nicola Picchiotti, Margherita Baldassarri…·Pier Giorgio Scotton

The paper develops a machine learning model to predict COVID-19 severity using exonic variants from whole exome sequencing data, finding that variants across all frequency categories contribute to severity.

37 citationstop 5%

humanwhole-exome sequencing

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