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Cited by 301

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Pathobiology of Pulmonary Hypertension

Rabinovitch, Marlene·2007·Annual Review of Pathology: Mechanisms of Disease

Abstract

A variety of conditions can lead to the development of pulmonary arterial hypertension (PAH). Current treatments can improve symptoms and reduce the severity of the hemodynamic abnormality, but most patients remain quite limited, and deterioration in their condition necessitates a lung transplant. This review discusses current experimental and clinical studies that investigate the pathobiology of PAH. An emerging theme is the consideration of ways in which one might reverse the advanced occlusive structural changes in the pulmonary circulation causing PAH. The current debate concerning the role of regeneration through stem cells is presented. This review also highlights investigations in a number of laboratories relating the pathobiology of PAH to mutations causing loss of function of bone morphogenetic protein receptor II in patients with familial PAH, as well as sporadic cases.

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Crossref · 10.1146/annurev.pathol.2.010506.092033

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Metadata

Authors
Rabinovitch, M.
Venue
Annual Review of Pathology: Mechanisms of Disease
Published
2007-02-01
Volume
2
Issue
1
Pages
369-399
ISSN
  • 1553-4006 (ISSN-L)
  • 1553-4014
OpenAlex
W2147011107
Cited by
301
References
5
FWCI
3.59
Type
journal article
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: Pathobiology of Pulmonary Hypertension. https://app.cochat.ai/papers/10.1146/annurev.pathol.2.010506.092033
The paper
Rabinovitch, M. (2007). Pathobiology of Pulmonary Hypertension. Annual Review of Pathology: Mechanisms of Disease. https://doi.org/10.1146/annurev.pathol.2.010506.092033

Data sources

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.