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Cited by 841

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Prevalence of Earth-size planets orbiting Sun-like stars

Open access
Petigura, Erik A., Howard, Andrew W., Marcy, Geoffrey W.·2013·Proceedings of the National Academy of Sciences

Abstract

Significance: A major question is whether planets suitable for biochemistry are common or rare in the universe. Small rocky planets with liquid water enjoy key ingredients for biology. We used the National Aeronautics and Space Administration Kepler telescope to survey 42,000 Sun-like stars for periodic dimmings that occur when a planet crosses in front of its host star. We found 603 planets, 10 of which are Earth size and orbit in the habitable zone, where conditions permit surface liquid water. We measured the detectability of these planets by injecting synthetic planet-caused dimmings into Kepler brightness measurements. We find that 22% of Sun-like stars harbor Earth-size planets orbiting in their habitable zones. The nearest such planet may be within 12 light-years.

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Crossref · 10.1073/pnas.1319909110

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Metadata

Authors
Petigura, E. A., Howard, A. W., & Marcy, G. W.
Venue
Proceedings of the National Academy of Sciences
Published
2013-11-04
Volume
110
Issue
48
Pages
19273-19278
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2006224949
Cited by
841
References
7
FWCI
43.94
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Prevalence of Earth-size planets orbiting Sun-like stars. https://app.cochat.ai/papers/10.1073/pnas.1319909110
The paper
Petigura, E. A., Howard, A. W., & Marcy, G. W. (2013). Prevalence of Earth-size planets orbiting Sun-like stars. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1319909110

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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.