ReviewNature communications2020
Single cell transcriptomics comes of age.
Review in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 202 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
202 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Integrating cell-type-specific gene expression and genome-wide associations identifies risk genes for schizophrenia.Molecular psychiatry · 2026Pooled it
- Multi-omics and high-spatial-resolution omics: deciphering complexity in neurological disorders.GigaScience · 2025Pooled it
- Systematic analysis of circRNA biomarkers for diagnosis, prognosis and therapy in colorectal cancer.Frontiers in genetics · 2022Pooled it
- Multimodal learning enables chat-based exploration of single-cell data.Nature biotechnology · 2026Article
- Multi‑omics insights into uveitis: From mechanisms to precision medicine (Review).International journal of molecular medicine · 2026Review
- Learning stochastic dynamics and cell-fate landscapes from single-cell snapshots via optimal transport.Science advances · 2026Article
- Tools and tactics for studying alternative splicing.Nature reviews. Genetics · 2026Review
- Article
- Interpretable deep generative ensemble learning for single-cell omics with Hydra.Molecular systems biology · 2026Article
- Hallmarks and correlates of effective adoptive cell immunotherapy for cancer.Nature reviews. Immunology · 2026Review
- Roadmap for light interaction with biophotonic surfaces and their diverse applications.Journal of biomedical optics · 2026Article
- RECOMBINE identifies recurrent composite markers of cell types and states.Genome research · 2026Article
- Review
- Pro-regenerative fingerprints identified in a sub-population of adult mouse cardiomyocytes by integrative single-cell proteomics.Genome biology · 2026Article
- Alleviation of diabetic cardiomyopathy via preventing VCAM1-positive cells from senescence by engineered nanovesicles.Journal of nanobiotechnology · 2026Article
- Robust identification of cell-cell communication heterogeneity in single cells.bioRxiv : the preprint server for biology · 2026Article
- Modern Mining: The Role of Single-cell RNA Sequencing in Advancing Neuroscience Research.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Single-cell phenotype-associated subpopulation identification via transfer foundation model and statistical ensemble learning.BMC biology · 2026Article
- Integrated single-cell and spatial transcriptomics reveal divergent immunological and stromal programs in peritoneal versus ovarian endometriosis.BMC women's health · 2026Article
- CellMate─A Deep Learning-Assisted Single-Cell Data Processing Platform.Analytical chemistry · 2026Article
142 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.