Roser Vento-Tormo
Molecular Biology · 2017–2022
A researcher in the Science corpus: 10 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 172 citations into it; #11,768 of 17,773 by trust here, #4,450 by citations
- Cancer Research — 33 citations into it
- Biophysics — 31 citations into it
- Biomedical Engineering — 12 citations into it
Whom Roser Vento-Tormo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Roser Vento-Tormo overall
Papers from Roser Vento-Tormo's perspective
Ordered by how strongly the researchers Roser Vento-Tormo 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)
- Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
- Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
- CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification. (Cell Reports)
- Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
- Multiplex Single Cell Profiling of Chromatin Accessibility by Combinatorial Cellular Indexing (Science)
- Full-Length mRNA-Seq from single cell levels of RNA and individual circulating tumor cells (Nature Biotechnology)
- Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq. (Genome Research)
- Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells (Nature)
- Comprehensive integration of single-cell data (bioRxiv)
Their papers
- Exponential scaling of single-cell RNA-seq in the past decade (2017) — 866 citations
- Decoding human fetal liver haematopoiesis (2019) — 515 citations
- CellPhoneDB: inferring cell–cell communication from combined expression of multi-subunit ligand–receptor complexes (2020) — 2,797 citations
- Cell2location maps fine-grained cell types in spatial transcriptomics (2022) — 1,006 citations
- A cell atlas of human thymic development defines T cell repertoire formation (2020) — 648 citations
- Single cell transcriptomes from human kidneys reveal the cellular identity of renal tumors (2018) — 671 citations
- An introduction to spatial transcriptomics for biomedical research (2022) — 714 citations
- Resolving the fibrotic niche of human liver cirrhosis at single cell level (2019) — 1,426 citations
- A cellular census of human lungs identifies novel cell states in health and in asthma (2019) — 755 citations
- Single-cell reconstruction of the early maternal–fetal interface in humans (2018) — 1,967 citations