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Cited by 566

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Interiors of Giant Planets Inside and Outside the Solar System

Guillot, Tristan·1999·Science

Abstract

An understanding of the structure and composition of the giant planets is rapidly evolving because of (i) high-pressure experiments with the ability to study metallic hydrogen and define the properties of its equation of state and (ii) spectroscopic and in situ measurements made by telescopes and satellites that allow an accurate determination of the chemical composition of the deep atmospheres of the giant planets. However, the total amount of heavy elements that Jupiter, Saturn, Uranus, and Neptune contain remains poorly constrained. The discovery of extrasolar giant planets with masses ranging from that of Saturn to a few times the mass of Jupiter opens up new possibilities for understanding planet composition and formation. Evolutionary models predict that gaseous extrasolar giant planets should have a variety of atmospheric temperatures and chemical compositions, but the radii are estimated to be close to that of Jupiter (between 0.9 and 1.7 Jupiter radii), provided that they contain mostly hydrogen and helium.

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Metadata

Authors
Guillot, T.
Venue
Science
Published
1999-10
Volume
286
Issue
5437
Pages
72-77
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2072697696
Cited by
566
References
56
FWCI
10.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Interiors of Giant Planets Inside and Outside the Solar System. https://app.cochat.ai/papers/10.1126/science.286.5437.72
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Guillot, T. (1999). Interiors of Giant Planets Inside and Outside the Solar System. Science. https://doi.org/10.1126/science.286.5437.72

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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.