John E. Moore

1.2k citations
25 papers · 773 indexed · h-index 15

John E. Moore

24 papers receiving 713 citations

Peers

John E. Moore
Comparison fields: 5 of 81
  • Agronomy and Crop Science 465
  • Forestry 78
  • Animal Science and Zoology 139
  • Clinical Biochemistry 55
  • Genetics 215
Replace Gerald L. Stokka with:
Gerald L. Stokka United States
Maiju Pesonen Finland
Eric Pinloche United Kingdom
David P. Gnad United States
P. Dick Canada
Keiji OGIMOTO Japan
E.M. Kesler United States
J. K. Merrill Canada
H. Fred Troutt United States
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John E. Moore relative to Gerald L. Stokka United States Gerald L. Stokka's profile →
Citations per field
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Gerald L. Stokka · 1×
Citations per year

Countries citing papers authored by John E. Moore

Since Specialization
Citations

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

Fields of papers citing papers by John E. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20220
2 201113
3 20098
4
Epidemiological study of E. coli O157:H7 isolated in Northern Ireland using pulsed-field gel electrophoresis (PFGE).
20089
5 200814
6 200661
7 200439
8 200410
9 200440
10 2004109
11 200341
12 200317
13 2000133
14 199889
15 199319
16 199120
17 198839
18 19872
19 19787
20 19521

About John E. Moore

John E. Moore is a scholar working on Agronomy and Crop Science, Forestry, Animal Science and Zoology, Clinical Biochemistry and Biotechnology, having authored 25 papers that have together received 773 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (16 papers), Genetic and phenotypic traits in livestock (6 papers), Pasture and Agricultural Systems (5 papers), Reproductive Physiology in Livestock (4 papers), Salmonella and Campylobacter epidemiology (2 papers), Bioenergy crop production and management (2 papers), Agroforestry and silvopastoral systems (2 papers) and Listeria monocytogenes in Food Safety (2 papers). The work is most often cited by research in Agronomy and Crop Science (465 citations), Forestry (78 citations), Animal Science and Zoology (139 citations), Clinical Biochemistry (55 citations) and Genetics (215 citations). John E. Moore has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include J. A. P. Earle, B. Cherie Millar, Jiru Xu, Lynn E. Sollenberger, M. L. Galyean, F. N. Owens, C. L. Ferrell, Jiafa Luo, I.V. Nsahlai and T. Sahlu. Their work appears in journals such as Small Ruminant Research, Journal of Animal Science, Agronomy Journal, Journal of Dairy Science and Journal of Antimicrobial Chemotherapy.

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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