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Cited by 659

The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.

A psychobiological perspective on the personality disorders

·1991·American Journal of Psychiatry
DOI 10.1176/ajp.148.12.1647
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Abstract

A preliminary but growing body of evidence supports the existence of genetic and biological substrates of personality, suggesting the utility of a psychobiological perspective on the personality disorders. The investigation of biological correlates of personality disorders can provide an empirical base to explore the relationship between biological predispositions and psychological function. The authors propose a psychobiological model based on dimensions of cognitive/perceptual organization, impulsivity/aggression, affective instability, and anxiety/inhibition. These dimensions span the DSM-III-R axis I and axis II disorders. The authors review phenomenological, genetic, and biological evidence in relation to each of these dimensions. Although such an approach remains heuristic, this model provides a promising vantage point from which to generate investigation of the development and treatment of the personality disorders.

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Citations

Cites

Show all 71 references

Research works printed but not linked: 42

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Metadata

Venue
American Journal of Psychiatry
Publisher
American Psychiatric Association Publishing
Published
1991-12-01
Volume
148
Issue
12
Pages
1647-1658
ISSN
  • 0002-953X (ISSN-L)
  • 1535-7228
DOI
10.1176/ajp.148.12.1647
OpenAlex
W2347075974
Cited by
659
References
71
FWCI
15.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A psychobiological perspective on the personality disorders. https://app.cochat.ai/papers/10.1176/ajp.148.12.1647
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A psychobiological perspective on the personality disorders. (1991). American Journal of Psychiatry. https://doi.org/10.1176/ajp.148.12.1647

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.