Author

M. C. Ribeiro

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· 3 Physiology· 1

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

A. Hansen· 1 shared B. B. Niebuhr· 1 shared B. J. van Meer· 1 shared C. D. Koopman· 1 shared C. De Angelo· 1 shared C. Denning· 1 shared C. Emer· 1 shared C. Grandela· 1 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperPhysiology

A. Hansen

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Author profile →

4 papers

Recent·Most cited

The Atlantic Forest of South America: spatiotemporal dynamics of remaining vegetation and implications for conservation

M. H. Vancine, R. L. Muylaert, B. B. Niebuhr, J. E. d. F. Oshima, V. Tonetti, R. Bernardo, C. De Angelo, M. R. Rosa, C. H. Grohmann, M. C. Ribeiro

The paper analyzes 34 years of landscape change in the Atlantic Forest, showing a decline in forest and natural vegetation cover, with some recovery after 2005 and significant impacts from linear infrastructure.

bioRxiv · Sep 16, 2023Ecology

Reconstruction and variability of tropical pollination networks in the Brazilian Atlantic Forest

J. Pereira, F. Battiston, M. C. Ribeiro, F. Jordan

The paper reconstructs tropical pollination networks in the Brazilian Atlantic Forest and finds that network properties correlate with forest cover and habitat heterogeneity.

bioRxiv · Nov 22, 2021Ecology

Seed-dispersal networks in tropical forest fragments: area effects, remnant species, and interaction diversity

C. Emer, M. A. Pizo, M. C. Ribeiro, F. R. da Silva, P. Jordano, M. Galetti

The paper examines how seed-dispersal network structure changes with habitat fragmentation, finding that network nestedness increases while species and interaction diversity decrease with smaller fragment size.

bioRxiv · Oct 24, 2019Ecology

Versatile open software to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo

L. Sala, B. J. van Meer, L. G. J. Tertoolen, J. Bakkers, M. Bellin, R. Davis, C. Denning, M. A. E. Dieben, T. Eschenhagen, E. Giacomelli, C. Grandela, A. Hansen, E. R. Holman, M. R. M. Jongbloed, S. M. Kamel, , F. L. Burton

MUSCLEMOTION quantifies cardiac contraction in vitro and in vivo, providing reliable pharmacological and disease phenotype data across multiple models.

bioRxiv · Jul 8, 2017Physiology