Author

A. Benard

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 Evolutionary Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:host-pathogen & immune response· 3 Approach:deep learning· 1 Organism:Drosophila· 1 Research Focus:ecology & biodiversity· 1 Organism:human· 1 Organism:multiple species· 1 Assay:proteomics· 1

Frequent Co-Authors

C. Bonenfant· 2 shared T. Lengagne· 2 shared A. E. Kremer· 1 shared A. Hecker· 1 shared A. Jacobsen· 1 shared B. Klosch· 1 shared C. Krautz· 1 shared C. Nous· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersEcology

C. Bonenfant

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Influence of traffic and weather on carcass persistence time of small wildlife on roads

A. Benard, C. Bonenfant, T. Lengagne

The paper estimates the impact of traffic and weather on carcass persistence time of small wildlife on roads, finding shorter persistence times than previously thought and highlighting underestimation of roadkill.

bioRxiv · Jun 1, 2023Ecology

A biologically realistic model to predict wildlife-vehicle collision risks

A. Benard, T. Lengagne, C. Bonenfant

This paper develops a biologically realistic individual-based model to predict wildlife-vehicle collision risks by integrating animal movement patterns and behavioral traits.

bioRxiv · Feb 15, 2023 · PreprintEcology

Wolbachia load variation in Drosophila is more likely caused by drift than by host genetic factors

A. Benard, H. Henri, C. Nous, F. Vavre, N. Kremer

This study investigates the factors regulating Wolbachia density in Drosophila, finding that drift, not host genetics, primarily drives variation in bacterial load and Octomom copy numbers.

bioRxiv · Nov 29, 2020Evolutionary Biology

Interleukin-3 is a predictive marker for severity and outcome during SARS-CoV-2 infections

A. Benard, A. Jacobsen, M. Brunner, C. Krautz, B. Klosch, I. Swierzy, E. Naschberger, T. Birkholz, I. Castellanos, D. Trufa, H. Sirbu, M. Vetter, A. E. Kremer, K. Hildner, A. Hecker, , G. F. Weber

The paper finds that low interleukin-3 levels predict increased severity and mortality in SARS-CoV-2 infections and shows IL-3 promotes antiviral pDC recruitment.

bioRxiv · Jul 2, 2020Immunology