Antoine-Emmanuel Saliba
Molecular Biology · 2014–2021
A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 194 citations into it; #7,282 of 17,773 by trust here, #8,678 by citations
- Cancer Research — 44 citations into it; #541 of 1,780 by trust here, #1,332 by citations
Whom Antoine-Emmanuel Saliba trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael L. Metzker
- S. Picelli
- Zhong Wang
- V. Pelechano
- Philipp Kapranov
- Daniel Ramsköld
- M. Hangauer
- Nicholas T. Ingolia
- S. Helaine
- Lars M. Steinmetz
Who trusts Antoine-Emmanuel Saliba overall
- Rhonda L. Bacher
- Wei Vivian Li
- Chen Xu
- Cole Trapnell
- Christina Kendziorski
- Jingyi Jessica Li
- Zhengchang Su
Papers from Antoine-Emmanuel Saliba's perspective
Ordered by how strongly the researchers Antoine-Emmanuel Saliba trusts endorse each paper. Same corpus, a different order for every researcher.
- Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
- STAR: ultrafast universal RNA-seq aligner (Bioinform.)
- RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
- Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
- The Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing (Science)
- Full-length RNA-seq from single cells using Smart-seq2 (Nature Protocols)
- Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
- Full-Length mRNA-Seq from single cell levels of RNA and individual circulating tumor cells (Nature Biotechnology)
- Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells (Nature Structural &Molecular Biology)
- Comprehensive comparative analysis of strand-specific RNA sequencing methods (Nature Methods)
Their papers
- Single-cell RNA-seq: advances and future challenges (2014) — 800 citations
- Eleven grand challenges in single-cell data science (2020) — 1,198 citations
- 6th European Congress of Immunology, 1-4 September 2021, Virtual meeting. (2021) — 646 citations
- Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment (2020) — 615 citations
- Single-Cell RNA-Seq Reveals the Transcriptional Landscape and Heterogeneity of Aortic Macrophages in Murine Atherosclerosis (2018) — 747 citations