S. Zaccara
Molecular Biology · 2017–2020
A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 139 citations into it; #9,006 of 17,773 by trust here, #9,727 by citations
- Electrical and Electronic Engineering — 13 citations into it; #9,800 of 16,539 by trust here, #16,053 by citations
Whom S. Zaccara trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leena Salmela
- Hailing Shi
- Davis J. McCarthy
- Alex Lancaster
- Davide Risso
- Matthias Dodt
- Alex S. Holehouse
- Schraga Schwartz
- B. Zhao
- Timothy L. Bailey
Who trusts S. Zaccara overall
Papers from S. Zaccara's perspective
Ordered by how strongly the researchers S. Zaccara trusts endorse each paper. Same corpus, a different order for every researcher.
- Structural basis of N6-adenosine methylation by the METTL3–METTL14 complex (Nature)
- Perturbation of m6A writers reveals two distinct classes of mRNA methylation at internal and 5' sites. (Cell Reports)
- N6-methyladenosine Modulates Messenger RNA Translation Efficiency (Cell)
- Mammalian WTAP is a regulatory subunit of the RNA N6-methyladenosine methyltransferase (Cell Research)
- STAR: ultrafast universal RNA-seq aligner (Bioinform.)
- ALKBH5 Is a Mammalian RNA Demethylase that Impacts RNA Metabolism and Mouse Fertility (Molecules and Cells)
- The N6-methyladenosine (m6A)-forming enzyme METTL3 controls myeloid differentiation of normal and leukemia cells (Nature Medicine)
- Discovery of cancer drug targets by CRISPR-Cas9 screening of protein domains (Nature Biotechnology)
- Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
- Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Their papers
- The N6-methyladenosine (m6A)-forming enzyme METTL3 controls myeloid differentiation of normal and leukemia cells (2017) — 888 citations
- m6A enhances the phase separation potential of mRNA (2019) — 600 citations
- Reading, writing and erasing mRNA methylation (2019) — 2,081 citations
- A Unified Model for the Function of YTHDF Proteins in Regulating m6A-Modified mRNA (2020) — 670 citations