Author

D. Santiago-Alarcon

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 Zoology· 1

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 2 Organism:multiple species· 2 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. A. Escalante· 1 shared A. Lira-Noriega· 1 shared A. Robles· 1 shared C. J. Logan· 1 shared F. C. Ferreira· 1 shared H. Tapia-McClung· 1 shared K. B. McCune· 1 shared M. A. Pacheco· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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1 shared paperZoology

A. A. Escalante

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

ZoologybioRxivApr 25, 2022

Great-tailed Grackles (Quiscalus mexicanus) as a tolerant host of avian malaria parasites

M. A. Pacheco, F. C. Ferreira, C. J. Logan…·A. A. Escalante

This study screens Great-tailed Grackles for avian malaria parasites, finding high prevalence and chronic infections, suggesting they are competent hosts and potential transmitters.

DOI 10.1371/journal.pone.0268161

multiple speciesproteomics

𝕏 PostBluesky

EcologybioRxivPreprintSep 9, 2020

American mammals susceptibility to dengue according to geographical, environmental and phylogenetic distances

A. Robles, D. Santiago-Alarcon, A. Lira-Noriega

The paper predicts dengue susceptibility in American wild mammals using ecological, geographical, and phylogenetic data, finding phylogenetic relationships and environmental factors are key predictors.

DOI 10.1101/2020.09.09.290031

multiple speciesmachine learning (classical)

𝕏 PostBluesky

Evolutionary BiologybioRxivJul 10, 2020

Quantum aspects of evolution: a contribution toward evolutionary explorations of genotype networks via quantum walks

D. Santiago-Alarcon, H. Tapia-McClung, S. A. Lerma-Hernandez, S. E. Venegas-Andraca

The paper compares classical and quantum walks on genotype networks to assess their efficiency in finding novel phenotypes, finding quantum walks more effective in certain scenarios.

DOI 10.1098/rsif.2020.0567

statistical model

𝕏 PostBluesky