Author

R. Valbuena

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Cancer Biology· 1 Ecology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

A. Wang· 1 shared A. Z. Motta· 1 shared B. E. Howitt· 1 shared B. Gimenez· 1 shared B. Liang· 1 shared C. R. Reis· 1 shared C. Y. Yeh· 1 shared D. Coomes· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCancer Biology

A. Wang

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Mapping ovarian cancer spatial organization uncovers immune evasion drivers at the genetic, cellular, and tissue level

C. Y. Yeh, K. Aguirre, O. Laveroni, S. Kim, A. Wang, B. Liang, X. Zhang, L. M. Han, R. Valbuena, S. K. Plevritis, M. C. Bassik, M. P. Snyder, B. E. Howitt, L. Jerby

This study maps ovarian cancer spatial organization and identifies immune evasion drivers through single-cell spatial transcriptomics and CRISPR screens.

bioRxiv · Oct 16, 2023Cancer Biology

Plant allometry derived from Metabolic Scaling Theory and segregated by tissue functionality

S. Sopp, R. Valbuena

This paper develops generalized Metabolic Scaling Theory (gMST) models for plant allometry, showing improved performance over existing equations in height-diameter scaling and aboveground biomass estimation across ecoregions.

bioRxiv · Aug 10, 2023 · PreprintPlant Biology

Resource availability and disturbance shape maximum tree height across the Amazon

E. B. Gorgens, M. H. Nunes, T. Jackson, D. Coomes, M. Keller, C. R. Reis, R. Valbuena, J. Rosette, D. R. A. Almeida, B. Gimenez, R. Z. Cantinho, A. Z. Motta, M. Assis, F. R. d. S. Pereira, G. Spanner, , J. P. Ometto

This study identifies environmental factors influencing the distribution of extremely tall trees in the Amazon using LiDAR data, finding wind speed as the strongest predictor.

bioRxiv · May 15, 2020Ecology