Sarah E. Moorey

1.4k citations
39 papers · 960 · h-index 14

Impact in

Papers in

    • Reproductive Physiology in Livestock 21
    • Ruminant Nutrition and Digestive Physiology 5
    • Genetic and phenotypic traits in livestock 14

Sarah E. Moorey

37 papers receiving 951 citations

Peers

Sarah E. Moorey
Comparison fields: 5 of 82
  • Developmental Neuroscience 116
  • Cellular and Molecular Neuroscience 420
  • Agronomy and Crop Science 175
  • Immunology and Allergy 82
  • Cell Biology 205
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H Sugino Japan
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Sarah E. Moorey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sarah E. Moorey Line = papers co-authored together Sarah E. Moorey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003236
2 2004191
3 201076
4 201373
5 200866
6 200341
7 202030
8 201826
9 201921
10 202120
11 202017
12 201915
13 202115
14 202213
15 202210
16 202210
17 20239
18 20229
19 20169
20 20229

About Sarah E. Moorey

Sarah E. Moorey is a scholar working on Agronomy and Crop Science, Genetics, Molecular Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 39 papers that have together received 960 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (21 papers), Genetic and phenotypic traits in livestock (14 papers), Reproductive Biology and Fertility (10 papers), Reproductive System and Pregnancy (8 papers), Ovarian function and disorders (6 papers), Ruminant Nutrition and Digestive Physiology (5 papers), Effects of Environmental Stressors on Livestock (5 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Developmental Neuroscience (116 citations), Cellular and Molecular Neuroscience (420 citations), Agronomy and Crop Science (175 citations), Immunology and Allergy (82 citations) and Cell Biology (205 citations). Sarah E. Moorey has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Catherine D. Nobes, Daniel J. Marston, Fernando H. Biase, Kristján R. Jessen, David B. Parkinson, Ambily Bhaskaran, Rhona Mirsky, Maurizio D’Antonio, John F. Marshall and Ralf H. Adams. Their work appears in journals such as Journal of Animal Science, Journal of Animal Science and Biotechnology, BMC Genomics, The Journal of Cell Biology and Clinical Cancer Research.

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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