Sarah E. Moorey

1.4k total citations
39 papers, 960 citations indexed

About

Sarah E. Moorey is a scholar working on Agronomy and Crop Science, Genetics and Molecular Biology. According to data from OpenAlex, Sarah E. Moorey has authored 39 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Agronomy and Crop Science, 15 papers in Genetics and 14 papers in Molecular Biology. Recurrent topics in Sarah E. Moorey's work include Reproductive Physiology in Livestock (21 papers), Genetic and phenotypic traits in livestock (14 papers) and Reproductive Biology and Fertility (10 papers). Sarah E. Moorey is often cited by papers focused on Reproductive Physiology in Livestock (21 papers), Genetic and phenotypic traits in livestock (14 papers) and Reproductive Biology and Fertility (10 papers). Sarah E. Moorey collaborates with scholars based in United States, United Kingdom and France. Sarah E. Moorey's co-authors include Catherine D. Nobes, Daniel J. Marston, Fernando H. Biase, Rhona Mirsky, Ambily Bhaskaran, Kristján R. Jessen, David B. Parkinson, Maurizio D’Antonio, Jonathan W. Astin and Gareth J. Thomas and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and Nature Cell Biology.

In The Last Decade

Sarah E. Moorey

37 papers receiving 951 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sarah E. Moorey United States 14 420 399 205 175 141 39 960
Kouji Komatsu Japan 16 112 0.3× 442 1.1× 157 0.8× 55 0.3× 212 1.5× 24 809
Hélène Cousin United States 18 197 0.5× 802 2.0× 231 1.1× 17 0.1× 118 0.8× 42 1.2k
Noriko Hiraiwa Japan 17 83 0.2× 545 1.4× 312 1.5× 14 0.1× 171 1.2× 28 950
Patrícia Diniz Portugal 10 65 0.2× 428 1.1× 125 0.6× 182 1.0× 98 0.7× 19 736
Eran Rom Israel 17 58 0.1× 1.1k 2.8× 109 0.5× 16 0.1× 128 0.9× 31 1.4k
H Sugino Japan 21 48 0.1× 1.2k 2.9× 74 0.4× 121 0.7× 250 1.8× 33 1.5k
Mitsugu Maéno Japan 20 87 0.2× 863 2.2× 367 1.8× 9 0.1× 85 0.6× 51 1.2k
Roberto A. Rovasio Argentina 13 118 0.3× 366 0.9× 168 0.8× 6 0.0× 122 0.9× 30 833
Deirdre D. Scripture-Adams United States 12 116 0.3× 1.0k 2.5× 98 0.5× 9 0.1× 175 1.2× 14 2.1k
Janet Roman United States 11 184 0.4× 272 0.7× 114 0.6× 8 0.0× 39 0.3× 23 655

Countries citing papers authored by Sarah E. Moorey

Since Specialization
Citations

This map shows the geographic impact of Sarah E. Moorey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sarah E. Moorey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah E. Moorey more than expected).

Fields of papers citing papers by Sarah E. Moorey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah E. Moorey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sarah E. Moorey. The network helps show where Sarah E. Moorey may publish in the future.

Co-authorship network of co-authors of Sarah E. Moorey

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah E. Moorey. A scholar is included among the top collaborators of Sarah E. Moorey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarah E. Moorey. Sarah E. Moorey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
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Schrick, F. N., et al.. (2024). Magnitude and persistence of higher estrus-associated temperatures in beef heifers and suckled cows. Journal of Animal Science. 102. 3 indexed citations
3.
Biase, Fernando H., et al.. (2024). Altered microRNA composition in the uterine lumen fluid in cattle (Bos taurus) pregnancies initiated by artificial insemination or transfer of an in vitro produced embryo. Journal of Animal Science and Biotechnology. 15(1). 130–130. 1 indexed citations
4.
5.
Moorey, Sarah E., et al.. (2023). Relationship between higher estrus-associated temperatures and the bovine preovulatory follicular fluid metabolome. SHILAP Revista de lepidopterología. 4. 3 indexed citations
6.
Biase, Fernando H., et al.. (2023). Extensive rewiring of the gene regulatory interactions between in vitro–produced conceptuses and endometrium during attachment. PNAS Nexus. 2(9). pgad284–pgad284. 4 indexed citations
7.
Moorey, Sarah E., Daniel J. Mathew, F. N. Schrick, et al.. (2023). Importance of the female reproductive tract microbiome and its relationship with the uterine environment for health and productivity in cattle: A review. SHILAP Revista de lepidopterología. 4. 6 indexed citations
8.
Voy, Brynn H., Sarah E. Moorey, Shawn R. Campagna, et al.. (2023). Rumen biogeographical regions and their impact on microbial and metabolome variation. SHILAP Revista de lepidopterología. 4. 2 indexed citations
9.
Edwards, J. Lannett, F. N. Schrick, Rebecca R. Payton, et al.. (2023). Metabolite abundance in bovine preovulatory follicular fluid is influenced by follicle developmental progression post estrous onset in cattle. Frontiers in Cell and Developmental Biology. 11. 1156060–1156060. 8 indexed citations
10.
Moorey, Sarah E., et al.. (2023). Rumen Biogeographical Regions and Microbiome Variation. Microorganisms. 11(3). 747–747. 9 indexed citations
11.
Payton, Rebecca R., Daniel J. Mathew, Sarah E. Moorey, et al.. (2022). Bacterial Communities of the Uterus and Rumen During Heifer Development With Protein Supplementation. SHILAP Revista de lepidopterología. 3. 5 indexed citations
12.
Moorey, Sarah E. & Fernando H. Biase. (2020). Beef heifer fertility: importance of management practices and technological advancements. Journal of Animal Science and Biotechnology. 11(1). 97–97. 30 indexed citations
13.
Moorey, Sarah E., et al.. (2020). Rewiring of gene expression in circulating white blood cells is associated with pregnancy outcome in heifers (Bos taurus). Scientific Reports. 10(1). 16786–16786. 17 indexed citations
14.
Moorey, Sarah E., et al.. (2019). Evaluation of age, weaning weight, body condition score, and reproductive tract score in pre-selected beef heifers relative to reproductive potential. Journal of Animal Science and Biotechnology. 10(1). 18–18. 21 indexed citations
15.
Moorey, Sarah E., et al.. (2018). Extraction of total RNA from single-oocytes and single-cell mRNA sequencing of swine oocytes. BMC Research Notes. 11(1). 155–155. 5 indexed citations
16.
17.
Allen, Michael D., Gareth J. Thomas, Sarah J. Clark, et al.. (2013). Altered Microenvironment Promotes Progression of Preinvasive Breast Cancer: Myoepithelial Expression of αvβ6 Integrin in DCIS Identifies High-risk Patients and Predicts Recurrence. Clinical Cancer Research. 20(2). 344–357. 73 indexed citations
18.
Marsh, Daniel, Sarah E. Moorey, Graham W. Neill, et al.. (2008). αvβ6 Integrin Promotes the Invasion of Morphoeic Basal Cell Carcinoma through Stromal Modulation. Cancer Research. 68(9). 3295–3303. 66 indexed citations
19.
Parkinson, David B., Sarah E. Moorey, Ambily Bhaskaran, et al.. (2003). Regulation of the myelin gene periaxin provides evidence for Krox-20-independent myelin-related signalling in Schwann cells. Molecular and Cellular Neuroscience. 23(1). 13–27. 41 indexed citations
20.
Marston, Daniel J., Sarah E. Moorey, & Catherine D. Nobes. (2003). Rac-dependent trans-endocytosis of ephrinBs regulates Eph–ephrin contact repulsion. Nature Cell Biology. 5(10). 879–888. 236 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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