Author

R. Marcus

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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Immunology· 2 Ecology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Luigi· 1 shared C. Duque· 1 shared Chagas working group· 1 shared E. de Rinaldis· 1 shared E. M. Machaca· 1 shared F. Jahanbakhsh· 1 shared F. Nestle· 1 shared I. Chakravarti· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperImmunology

A. Luigi

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Changing variability is an overlooked aspect of protected area planning

R. Marcus, M. J. Noonan

This paper highlights the underemphasis of climate change-induced variability in protected area planning and calls for prioritizing less variable habitats to reduce extinction risk.

bioRxiv · Oct 26, 2023 · PreprintEcology

Immunologic changes are detectable in the peripheral blood transcriptome of clinically asymptomatic Chagas cardiomyopathy patients

C. Duque, J. So, Y. E. Castro-Sesquen, K. DeToy, S. A. G. Guarnizo, F. Jahanbakhsh, E. M. Machaca, M. Miranda-Schaeubinger, I. Chakravarti, V. Cooper, M. E. Schmidt, A. Luigi, R. Marcus, K. R. Talaat, R. H. Gilman, , Chagas working group

This study identifies immune-related gene expression changes in asymptomatic Chagas cardiomyopathy patients, suggesting unique immune mechanisms in early disease progression.

bioRxiv · Oct 3, 2023Immunology

An optimized workflow for single-cell transcriptomics and repertoire profiling of purified lymphocytes from clinical samples.

R. Hanamsagar, T. Reizis, M. Chamberlain, R. Marcus, F. Nestle, E. de Rinaldis, V. Savova

The paper optimizes workflows for single-cell transcriptomics and repertoire profiling of purified lymphocytes from clinical samples, identifying best practices for viability, yield, and data quality.

bioRxiv · Nov 4, 2019Immunology