P.J. Eppard

868 citations
19 papers · 667 · h-index 14

Impact in

Papers in

P.J. Eppard

19 papers receiving 609 citations

Peers

P.J. Eppard
Comparison fields: 5 of 65
  • Agronomy and Crop Science 391
  • Endocrinology, Diabetes and Metabolism 250
  • Genetics 359
  • Animal Science and Zoology 102
  • Small Animals 66
Replace Y. R. Boisclair with:
Y. R. Boisclair United States
R. Michael Akers United States
Lasse Bøllehuus Hansen United States
C. L. Moeller United States
Rogério Ferreira Brazil
S. A. McCoard New Zealand
Jenne De Koster Belgium
R. C. Fry Australia
C. Champredon France
Aydın Güzeloğlu Türkiye
P.J. Eppard relative to Y. R. Boisclair United States Y. R. Boisclair's profile →
Citations per field
00.5×3.7×
Y. R. Boisclair · 1×
Citations per year

Countries citing papers authored by P.J. Eppard

Since Specialization
Citations

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

Fields of papers citing papers by P.J. Eppard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.J. Eppard. 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 P.J. Eppard. The network helps show where P.J. Eppard may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1993138
2 199176
3 199257
4 199248
5 199146
6 199444
7 199234
8 199231
9 200131
10 199729
11 199229
12 199625
13 199921
14 199019
15 199911
16 199211
17 19978
18 19826
19 19933

About P.J. Eppard

P.J. Eppard is a scholar working on Agronomy and Crop Science, Endocrinology, Diabetes and Metabolism, Genetics, Animal Science and Zoology and Small Animals, having authored 19 papers that have together received 667 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (13 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Ruminant Nutrition and Digestive Physiology (8 papers), Effects of Environmental Stressors on Livestock (4 papers), Genetic and phenotypic traits in livestock (4 papers), Animal health and immunology (3 papers), Infant Nutrition and Health (3 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Agronomy and Crop Science (391 citations), Endocrinology, Diabetes and Metabolism (250 citations), Genetics (359 citations), Animal Science and Zoology (102 citations) and Small Animals (66 citations). P.J. Eppard has collaborated with scholars based in United States, Belgium and Thailand. Frequent co-authors include R.J. Collier, John C. Byatt, Gwen G. Krivi, Giovanni Lanza, M.C. Lucy, J.H. Clark, Roy Sorbet, Scott D. Hauser, D.E. Bauman and Daniel F. Curran. Their work appears in journals such as Journal of Dairy Science, Journal of Endocrinology, Domestic Animal Endocrinology and Journal of Animal Science.

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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