Author

A. Niang

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· 1 Zoology· 1

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

A. Diabate· 2 shared A. Belem· 1 shared A. South· 1 shared C. Nignan· 1 shared D. G. Paton· 1 shared D. J. Siria· 1 shared E. Mwanga· 1 shared F. Baldini· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersEcology

A. Diabate

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Cuticular hydrocarbons are associated with mating success and insecticide resistance in malaria vectors

K. L. Adams, S. P. Sawadogo, C. Nignan, A. Niang, D. G. Paton, W. R. G. Shaw, A. South, J. Wang, M. A. Itoe, K. Werling, R. K. Dabire, A. Diabate, F. Catteruccia

This study shows that cuticular hydrocarbons in Anopheles coluzzii males are linked to mating success and insecticide resistance.

bioRxiv · Apr 20, 2021Ecology

Rapid ageing and species identification of natural mosquitoes for malaria surveillance

D. J. Siria, R. Sanou, J. Mitton, E. Mwanga, A. Niang, I. Sare, P. C. D. Johnson, G. Foster, A. Belem, K. Wynne, R. Murray-Smith, H. M. Ferguson, M. Gonzalez Jimenez, S. Babayan, A. Diabate, , F. Baldini

This paper develops a deep learning method to rapidly identify mosquito species and age from mid-infrared spectra, with high accuracy for malaria vectors.

bioRxiv · Jun 11, 2020 · PreprintZoology