The Human Cell Atlas from a cell census to a unified foundation model is a dataset published in Nature (2024). On theSindex it has a DataRank of 2.0, placing it in the top 35.2% of the data-sharing corpus. It has been cited 118 times, with 117 citing works in its 1-hop citation network.
With the convergence of notable advances in molecular and spatial profiling methods and new computational approaches taking advantage of artificial intelligence and machine learning, the construction of cell atlases is progressing from data collection to atlas integration and beyond. Here, we explore five ways in which cell atlases, including the Human Cell Atlas, are already revealing valuable biological insights, and how they are poised to provide even greater benefits in the coming years. In particular, we discuss cell atlases as censuses of cells; as 3D maps of cells in the body, across modalities and scales; as maps connecting genotype causes to phenotype effects; as 4D maps of development; and, ultimately, as foundation models of biology unifying all of these aspects and helping to transform medicine.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.681
From this paper's citation signal
Citation Network Contribution
1.4
From 69 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 33% comes from its base citations and 67% from the citation network (69 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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