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Cited by 246

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Wide genomic analysis of human endometrial receptivity: new times, new opportunities

Horcajadas, J.A., Pellicer, A., Simón, C.·2007·Human Reproduction Update

Abstract

Microarray technology has broadened the insight into many research fields allowing scientists to analyse the expression of many genes in quick and efficient experiments aimed at translating these findings into clinical applications. In reproductive medicine, researchers have exploited microarrays to increase understanding of the molecular mechanisms involved in endometrial receptivity and how a possible therapeutic translation can be feasible. In the last 4 years, several studies have focused on the genomics of the human endometrium in different physiological and pathological conditions, and these studies have generated a large amount of information about the regulation and dysregulation of the window of implantation (WOI) genes in fertile, subfertile and refractory conditions. However, the key molecules/mechanisms in endometrial receptivity remain to be elucidated. In this comprehensive review, we have analysed the available results obtained in our own and other laboratories, defining the genomic profile of the receptive endometrium in different situations and its possible clinical application.

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Metadata

Authors
Horcajadas, J. A., Pellicer, A., & Simón, C.
Venue
Human Reproduction Update
Published
2006-09-07
Volume
13
Issue
1
Pages
77-86
ISSN
  • 1355-4786 (ISSN-L)
  • 1460-2369
OpenAlex
W2156270094
Cited by
246
References
3
FWCI
4.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Wide genomic analysis of human endometrial receptivity: new times, new opportunities. https://app.cochat.ai/papers/10.1093/humupd/dml046
The paper
Horcajadas, J. A., Pellicer, A., & Simón, C. (2007). Wide genomic analysis of human endometrial receptivity: new times, new opportunities. Human Reproduction Update. https://doi.org/10.1093/humupd/dml046

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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