Scott E. Poock

1.3k citations
74 papers · 957 · h-index 16

Impact in

    • Reproductive Physiology in Livestock
    • Ruminant Nutrition and Digestive Physiology
    • Milk Quality and Mastitis in Dairy Cows
  • Genetics top 5%
    • Genetic and phenotypic traits in livestock

Papers in

    • Reproductive Physiology in Livestock 59
    • Ruminant Nutrition and Digestive Physiology 22
    • Livestock Management and Performance Improvement 5
    • Milk Quality and Mastitis in Dairy Cows 4
    • Genetic and phenotypic traits in livestock 48

Scott E. Poock

68 papers receiving 939 citations

Peers

Scott E. Poock
Comparison fields: 5 of 71
  • Agronomy and Crop Science 782
  • Genetics 574
  • Animal Science and Zoology 179
  • Small Animals 127
  • Immunology 158
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A. García-Guerra United States
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Citations per field
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Citations per year

Countries citing papers authored by Scott E. Poock

Since Specialization
Citations

This map shows the geographic impact of Scott E. Poock'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 Scott E. Poock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott E. Poock more than expected).

Fields of papers citing papers by Scott E. Poock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott E. Poock. 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 Scott E. Poock. The network helps show where Scott E. Poock may publish in the future.

Co-authors

The 25 scholars most cited alongside Scott E. Poock, 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 Scott E. Poock Line = papers co-authored together Scott E. Poock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010150
2 2017109
3 201870
4 201755
5 201447
6 201439
7 200939
8 201227
9 201626
10 201922
11 201622
12 201619
13 201718
14 202018
15 201716
16 202116
17 201214
18 201314
19 202012
20 202412

About Scott E. Poock

Scott E. Poock is a scholar working on Agronomy and Crop Science, Genetics, Small Animals, Animal Science and Zoology and Immunology, having authored 74 papers that have together received 957 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (59 papers), Genetic and phenotypic traits in livestock (48 papers), Ruminant Nutrition and Digestive Physiology (22 papers), Effects of Environmental Stressors on Livestock (8 papers), Reproductive System and Pregnancy (8 papers), Animal health and immunology (7 papers), Livestock Management and Performance Improvement (5 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). The work is most often cited by research in Agronomy and Crop Science (782 citations), Genetics (574 citations), Animal Science and Zoology (179 citations), Small Animals (127 citations) and Immunology (158 citations). Scott E. Poock has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include Matthew Lucy, D. J. Patterson, Michael F. Smith, Carol S. Okamura, Stephen G. Moore, Jordan M. Thomas, Pedro Meléndez, Mark R. Ellersieck, Aaron C. Ericsson and J.G.N. Moraes. Their work appears in journals such as Journal of Dairy Science, Theriogenology, Journal of Animal Science, Animal Reproduction Science and Veterinary Clinics of North America Food Animal Practice.

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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