ArticleNature2019
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program.
Article in Nature, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 352 papers, 4 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
352 citing papers in PubMed, 4 syntheses or guidelines pooled it, 655 citations in OpenAlex.
- Vasculature segmentation in 3D hierarchical phase-contrast tomography images of human kidneys.Nature communications · 2026Pooled it
- Mass spectrometry-based human spatial omics: fundamentals, innovations, and applications.Journal of biomedical science · 2026Pooled it
- Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing.Journal for immunotherapy of cancer · 2025Guideline
- Reference-based cell type matching of in situ image-based spatial transcriptomics data on primary visual cortex of mouse brain.Scientific reports · 2023Pooled it
- Article
- Standardizing Cell Ontology terms for cross-study integration in the female reproductive tract.Science advances · 2026Review
- ArchMap is a web-based platform for reference-based analysis of single-cell datasets.Nature genetics · 2026Article
- Process bigraphs and the architecture of compositional systems biology.PLoS computational biology · 2026Article
- Multiscale harmonization, semantic integration, and immersive exploration of single-cell data in support of novel biological insights.bioRxiv : the preprint server for biology · 2026Article
- Spatial Logic and Evolutionary Innovation in Human Placentation.bioRxiv : the preprint server for biology · 2026Article
- Article
- Reversing the pipeline: a 'human-first' multi-omics approach to cardiovascular discovery.Experimental & molecular medicine · 2026Review
- Mapping ovarian cellular and molecular landscape across the lifespan of women: a scoping review.Human reproduction update · 2026Article
- HuBMAP Data Portal: a resource for multimodal spatial and single-cell data of healthy human tissues.ArXiv · 2026Article
- Spatium: A Protein Language Foundation Model for Spatial Proteomics.bioRxiv : the preprint server for biology · 2026Article
- Organism-scale annotation with Pan-human Azimuth.bioRxiv : the preprint server for biology · 2026Article
- Spatial Omics Technologies in Glioblastoma Research: Principles, Applications, and Best Practices.Genes · 2026Review
- Cross-dataset annotation harmonization for cell-type hierarchy construction.Bioinformatics (Oxford, England) · 2026Article
- Multi-Tiered µDicer Enables Protein-Preserving Microdissection at 10 µm Resolution.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Imaging-Based Spatial Transcriptomics: Data Interpretation Methods and Biomedical Applications.Biology · 2026Review
292 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
1 author at 20 institutions in 4 countries.
Funding
Abstract
Transformative technologies are enabling the construction of three-dimensional maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years, the NIH Common Fund Human Biomolecular Atlas Program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping. HuBMAP will integrate its efforts with other funding agencies, programs, consortia, and the biomedical research community at large towards the shared vision of a comprehensive, accessible three-dimensional molecular and cellular atlas of the human body, in health and under various disease conditions.
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.