Valentine Svensson
Molecular Biology · 2015–2022
A researcher in the Science corpus: 6 papers; trusts 58 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 143 citations into it; #2,404 of 17,773 by trust here, #3,938 by citations
- Cancer Research — 34 citations into it
- Biophysics — 25 citations into it
- Immunology — 22 citations into it; #1,250 of 2,160 by trust here, #1,479 by citations
- Genetics — 15 citations into it
- Biomedical Engineering — 9 citations into it
- Computational Biology & Bioinformatics — 6 citations into it
Whom Valentine Svensson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- A. Shalek
- Cole Trapnell
- Allon M. Klein
- Peter V. Kharchenko
- Rahul Satija
- Sheel Shah
- Davide Risso
- Gökçen Eraslan
- Andrew McDavid
- Xiaoping Zhou
Who trusts Valentine Svensson overall
- Saket Kumar Choudhary
- Rahul Satija
- Zixuan Cang
- F. W. Townes
- R. Argelaguet
- Giovanni Palla
- Fabian J Theis
- Malte D. Luecken
- Stephanie C. Hicks
- Jiarui Ding
Papers from Valentine Svensson's perspective
Ordered by how strongly the researchers Valentine Svensson 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)
- Bayesian approach to single-cell differential expression analysis (Nature Methods)
- Single cell RNA Seq reveals dynamic paracrine control of cellular variation (Nature)
- Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
- CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification. (Cell Reports)
- Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq. (Genome Research)
- Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments (Bioinform.)
- Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
Their papers
- The technology and biology of single-cell RNA sequencing. (2015) — 1,313 citations
- Power Analysis of Single Cell RNA-Sequencing Experiments (2016) — 532 citations
- Exponential scaling of single-cell RNA-seq in the past decade (2017) — 866 citations
- SpatialDE: identification of spatially variable genes (2018) — 646 citations
- Droplet scRNA-seq is not zero-inflated (2019) — 311 citations
- A Python library for probabilistic analysis of single-cell omics data (2022) — 658 citations