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Cited by 365

The DOI matches its Crossref record; 179 of the 179 references it cites were found in a registry or an index.

Pathophysiology of Hypertension: The Mosaic Theory and Beyond

Open access
Harrison, David G., Coffman, Thomas M., Wilcox, Christopher S.·2021·Circulation Research

Abstract

Dr Irvine Page proposed the Mosaic Theory of Hypertension in the 1940s advocating that hypertension is the result of many factors that interact to raise blood pressure and cause end-organ damage. Over the years, Dr Page modified his paradigm, and new concepts regarding oxidative stress, inflammation, genetics, sodium homeostasis, and the microbiome have arisen that allow further refinements of the Mosaic Theory. A constant feature of this approach to understanding hypertension is that the various nodes are interdependent and that these almost certainly vary between experimental models and between individuals with hypertension. This review discusses these new concepts and provides an introduction to other reviews in this compendium of Circulation Research .

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Crossref · 10.1161/circresaha.121.318082

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Metadata

Authors
Harrison, D. G., Coffman, T. M., & Wilcox, C. S.
Venue
Circulation Research
Published
2021-04-02
Volume
128
Issue
7
Pages
847-863
ISSN
  • 0009-7330 (ISSN-L)
  • 1524-4571
OpenAlex
W3152101335
Cited by
365
References
179
FWCI
29.94
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Pathophysiology of Hypertension: The Mosaic Theory and Beyond. https://app.cochat.ai/papers/10.1161/circresaha.121.318082
The paper
Harrison, D. G., Coffman, T. M., & Wilcox, C. S. (2021). Pathophysiology of Hypertension: The Mosaic Theory and Beyond. Circulation Research. https://doi.org/10.1161/circresaha.121.318082

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.