A single cell atlas of human and mouse white adipose tissue is a research paper (2021). On theSindex it has a DataRank of 2.0. It has been cited 57 times, with 54 citing works in its 1-hop citation network.
ABSTRACT White adipose tissue (WAT), once regarded as morphologically and functionally bland, is now recognized to be dynamic, plastic, heterogenous, and involved in a wide array of biological processes including energy homeostasis, glucose and lipid handling, blood pressure control, and host defense 1 . High fat feeding and other metabolic stressors cause dramatic changes in adipose morphology, physiology, and cellular composition 1 , and alterations in adiposity are associated with insulin resistance, dyslipidemia, and type 2 diabetes (T2D) 2 . Here, we provide detailed cellular atlases of human and murine subcutaneous and visceral white fat at single cell resolution across a range of body weight. We identify subpopulations of adipocytes, adipose stem and progenitor cells (ASPCs), vascular, and immune cells and demonstrate commonalities and differences across species and dietary conditions. We link specific cell types to increased risk of metabolic disease, and we provide an initial blueprint for a comprehensive set of interactions between individual cell types in the adipose niche in leanness and obesity. These data comprise an extensive resource for the exploration of genes, traits, and cell types in the function of WAT across species, depots, and nutritional conditions.
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Base Score Contribution
0.609
From this paper's citation signal
Citation Network Contribution
1.4
From 47 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 30% comes from its base citations and 70% from the citation network (47 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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