Author

P. Henriquez-Piskulich

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 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:clustering· 1 Assay:DNA methylation· 1 Research Focus:ecology & biodiversity· 1 Research Focus:phylogenetics / evolution· 1 Assay:proteomics· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

A. Beaugendre· 1 shared A. F. Hugall· 1 shared A. Vera· 1 shared C. Villagra· 1 shared D. Stuart-Fox· 1 shared J. S. Ascher· 1 shared L. Marshall· 1 shared N. J. Vereecken· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

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1 shared paperEcology

A. Beaugendre

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2 papers

Recent·Most cited

Evolutionary BiologybioRxivJun 16, 2023

A supermatrix phylogeny of the world's bees (Hymenoptera: Anthophila)

P. Henriquez-Piskulich, A. F. Hugall, D. Stuart-Fox

This paper constructs a supermatrix phylogeny of bees using public sequence data, covering 23% of species and 86% of genera, and highlights gaps in bee phylogenetics.

DOI 10.1016/j.ympev.2023.107963

DNA methylationstatistical model

𝕏 PostBluesky

EcologybioRxivSep 13, 2022

Chilean bee diversity: Contrasting patterns of species and phylogenetic turnover along a large-scale ecological gradient

L. Marshall, J. S. Ascher, C. Villagra…·N. J. Vereecken

This study identifies six distinct wild bee ecoregions in Central Chile using expert-validated datasets and generalized dissimilarity modeling, revealing patterns of species and phylogenetic turnover along ecological gradients.

DOI 10.1002/ecs2.4535

proteomicsstatistical model

𝕏 PostBluesky