Author

C. Manfredi

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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Ecology· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Approach:statistical model· 2 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:multiple species· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

F. Maioli· 2 shared M. Casini· 2 shared A. Anibaldi· 1 shared B. Marceta· 1 shared B. Weigel· 1 shared E. Asciutto· 1 shared E. J. Sorscher· 1 shared E. Parigoris· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersEcology

F. Maioli

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Development of robust antiviral assays using relevant apical-out human airway organoids

J.-H. Lee, J. C. LeCher, E. Parigoris, N. Shinagawa, J. Sentosa, C. Manfredi, S. L. Goh, R. De, S. Tao, K. Zandi, F. Amblard, E. J. Sorscher, J. R. Spence, R. Tirouvanziam, R. F. Schinazi, S. Takayama

This paper develops AORBs, a high-throughput human airway organoid system, to robustly assess antiviral efficacy against SARS-CoV-2 with high throughput and clinical relevance.

bioRxiv · Jan 2, 2024 · PreprintBioengineering

Assessing the overlap between fishing activities and chondrichthyans distribution exposes high-risk areas for bycatch of threatened species

F. Maioli, B. Weigel, M. Lindmark, C. Manfredi, W. Zupa, I. Bitetto, T. Russo, M. Casini

The paper identifies high-risk areas for chondrichthyan bycatch by analyzing the spatial overlap between fishing activities and species distribution in the western Adriatic Sea.

bioRxiv · Oct 25, 2023Ecology

Spatio-temporal patterns of whiting (Merlangius merlangus) in the Adriatic Sea under environmental forcing

E. Asciutto, F. Maioli, C. Manfredi, A. Anibaldi, J. Cimini, I. Isailovic, B. Marceta, M. Casini

This study uses environmental data to model the spatial and temporal distribution of whiting in the Adriatic Sea, identifying depth, temperature, and oxygen as key predictors.

bioRxiv · Aug 1, 2023Ecology