Author

S. Ciocchetta

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 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 1 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

F. Montarsi· 2 shared A. Rizzoli· 1 shared B. Goh· 1 shared C. J. M. Koenraadt· 1 shared D. Arnoldi· 1 shared D. Da Re· 1 shared F. D. Frentiu· 1 shared F. Reuss· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersEcology

F. Montarsi

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

MicrobiologybioRxivPreprintOct 26, 2023

Identification of visible and near-infrared signature peaks for arboviruses and Plasmodium

B. Goh, R. J. Soares Magalhaes, S. Ciocchetta…·M. T. Sikulu-Lord

This study identifies unique near-infrared and visible light spectral peaks for arboviruses and Plasmodium falciparum, demonstrating their potential as diagnostic biomarkers.

DOI 10.1101/2023.10.26.564151

humanimaging

𝕏 PostBluesky

EcologybioRxivPreprintDec 1, 2022

Investigation on key aspects of mating biology in the mosquito Aedes koreicus

S. Ciocchetta, F. D. Frentiu, F. Montarsi…·G. J. Devine

This study investigates reproductive biology aspects of Ae. koreicus, finding no autogeny, disrupted mating with Ae. albopictus, and absence of Wolbachia.

DOI 10.1101/2022.12.01.518615

Arabidopsisexperimental assay

𝕏 PostBluesky

EcologybioRxivDec 21, 2021

dynamAedes: a unified modelling framework for invasive Aedes mosquitoes

D. Da Re, W. Van Bortel, F. Reuss…·M. Marcantonio

The paper develops a multi-scale stochastic model for invasive Aedes mosquitoes, integrating physiological and environmental factors to predict population dynamics and support management strategies.

DOI 10.1186/s13071-022-05414-4

statistical modelecology & biodiversity

𝕏 PostBluesky