Author

Rebekah B. Guevara

Albert Einstein College of MedicineORCID 0000-0002-8040-3453Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Cell Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:proteomics· 1

Frequent Co-Authors

Louis M. WeissiD· 2 shared Alfredo J. GuerraiD· 1 shared Einar B. Olafsson· 1 shared Elizabeth WeyeriD· 1 shared Hargobinder KauriD· 1 shared Jennifer T. AguilaniD· 1 shared Jonathan Z. SextoniD· 1 shared Joshua MayoraliD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 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

2 shared papersCell Biology

Louis M. WeissORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Toxoplasma GRA8 engages the host ESCRT accessory protein ALG-2 and is necessary for parasite metabolic integrity

Hargobinder Kaur, Rebekah B. Guevara, Yolanda Rivera-Cuevas, Einar B. Olafsson, Joshua Mayoral, Leonardo da Silva Augusto, Alfredo J. Guerra, Romir K. Patel, Kevin Patrick Bohannon, Jonathan Z. Sexton, Phyllis I. Hanson, Louis M. Weiss, Vern B. Carruthers

This paper identifies TgGRA8 as a Toxoplasma protein that recruits ALG-2 to the parasitophorous vacuole, essential for parasite metabolism and ESCRT hijacking.

bioRxiv · Jul 23, 2026 · PreprintCell Biology

Mapping a Toxoplasma gondii interactome by crosslinking mass spectrometry and machine learning

Tadakimi Tomita, Elizabeth Weyer, Rebekah B. Guevara, Simone Sidoli, Jennifer T. Aguilan, Louis M. Weiss

This study maps the Toxoplasma gondii interactome using crosslinking mass spectrometry and machine learning, identifying 405 PPIs with high confidence and validating their biological relevance.

mBio · Aug 28, 2025Peer-reviewedMicrobiology