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The Lung: Scientific Foundations
Abstract
The second edition of this monumental work adds considerable additional material on cell biology, immunology, and molecular aspects of lung disease. It remains formidable in physiology and structure. Of the great, multivolume studies in pulmonary medicine,The Lungclearly dominates the niche of basic science, as Fishman dominates in clinical-functional correlations and Fraser and Paré in radiological-structural correlations. This makes Crystal et al a lower priority for practicing clinicians but indispensable for investigators in pulmonary research. It is indeed a very good reference but certainly not without its flaws and limitations. The work is structured into sections that systematically cover what one might call "lung science," with a couple of exceptions to be noted. The first, "General Biologic Processes," is a textbook of modern biochemistry and molecular biology from the point of view of the lung; it is essentially an organ-specific treatment of general phenomena and a complete textbook in
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Cited by
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Townsley, M. I. (2012) · Comprehensive Physiology · doi:10.1002/cphy.c100081 · Cited by 277
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Ochs, M., & Mühlfeld, C. (2013) · American Journal of Physiology-Lung Cellular and Molecular Physiology · doi:10.1152/ajplung.00429.2012 · Cited by 171
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Metadata
- Authors
- Guidotti, T. L.
- Venue
- JAMA: The Journal of the American Medical Association
- Publisher
- American Medical Association (AMA)
- Published
- 1997-12-17
- Volume
- 278
- Issue
- 23
- Pages
- 2117
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2033483458
- Cited by
- 757
- References
- 0
- FWCI
- 38.65
- Type
- journal article
- Language
- en
- Open access
- closed
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- Guidotti, T. L. (1997). The Lung: Scientific Foundations. JAMA: The Journal of the American Medical Association. https://doi.org/10.1001/jama.1997.03550230093050
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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.