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Cited by 782

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Recurrent GNAS Mutations Define an Unexpected Pathway for Pancreatic Cyst Development

Open access
Wu, Jian, Matthaei, Hanno, Maitra, Anirban, Dal Molin, Marco, Wood, Laura D., Eshleman, James R., Goggins, Michael, Canto, Marcia I., Schulick, Richard D., Edil, Barish H., Wolfgang, Christopher L., Klein, Alison P., Diaz, Luis A., Allen, Peter J., Schmidt, C. Max, Kinzler, Kenneth W., Papadopoulos, Nickolas, Hruban, Ralph H., Vogelstein, Bert·2011·Science Translational Medicine

Abstract

A mutation in the gene GNAS serves as a marker for pancreatic cysts that can progress to become invasive adenocarcinomas, guiding therapy.

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Crossref · 10.1126/scitranslmed.3002543

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Metadata

Authors
Wu, J., Matthaei, H., Maitra, A., Dal Molin, M., Wood, L. D., Eshleman, J. R., Goggins, M., Canto, M. I., Schulick, R. D., Edil, B. H., Wolfgang, C. L., Klein, A. P., Diaz, L. A., Allen, P. J., Schmidt, C. M., Kinzler, K. W., Papadopoulos, N., Hruban, R. H., & Vogelstein, B.
Venue
Science Translational Medicine
Published
2011-07-20
Volume
3
Issue
92
Pages
92ra66-92ra66
ISSN
  • 1946-6234 (ISSN-L)
  • 1946-6242
OpenAlex
W1975940378
Cited by
782
References
1
FWCI
27.02
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Recurrent GNAS Mutations Define an Unexpected Pathway for Pancreatic Cyst Development. https://app.cochat.ai/papers/10.1126/scitranslmed.3002543
The paper
Wu, J., Matthaei, H., Maitra, A., Dal Molin, M., Wood, L. D., Eshleman, J. R., Goggins, M., Canto, M. I., Schulick, R. D., Edil, B. H., Wolfgang, C. L., Klein, A. P., Diaz, L. A., Allen, P. J., Schmidt, C. M., Kinzler, K. W., Papadopoulos, N., Hruban, R. H., & Vogelstein, B. (2011). Recurrent GNAS Mutations Define an Unexpected Pathway for Pancreatic Cyst Development. Science Translational Medicine. https://doi.org/10.1126/scitranslmed.3002543

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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.