P.J. Eppard

868 citations
21 papers · 706 · h-index 14

Impact in

Papers in

P.J. Eppard

21 papers receiving 641 citations

Peers

P.J. Eppard
Comparison fields: 5 of 66
  • Agronomy and Crop Science 407
  • Endocrinology, Diabetes and Metabolism 260
  • Genetics 378
  • Animal Science and Zoology 109
  • Small Animals 70
Replace Y. R. Boisclair with:
Y. R. Boisclair United States
R. Michael Akers United States
R.M. Akers United States
S. A. McCoard New Zealand
Rogerio da Costa Ferreira Brazil
C. L. Moeller United States
Lasse Bøllehuus Hansen United States
Cheryl A. Green United States
A.V. Capuco United States
Jenne De Koster Belgium
P.J. Eppard relative to Y. R. Boisclair United States Y. R. Boisclair's profile →
Citations per field
00.5×2×3×3.9×
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

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993140
2 199181
3 199262
4 199247
5 199146
6 199445
7 199237
8 199233
9 199232
10 200132
11 199731
12 199625
13 199922
14 199019
15 199914
16 199212
17 19899
18 19977
19 19826
20 19934

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 21 papers that have together received 706 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (13 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Ruminant Nutrition and Digestive Physiology (8 papers), Genetic and phenotypic traits in livestock (5 papers), Effects of Environmental Stressors on Livestock (4 papers), Infant Nutrition and Health (3 papers), Animal health and immunology (3 papers) and Milk Quality and Mastitis in Dairy Cows (2 papers). The work is most often cited by research in Agronomy and Crop Science (407 citations), Endocrinology, Diabetes and Metabolism (260 citations), Genetics (378 citations), Animal Science and Zoology (109 citations) and Small Animals (70 citations). P.J. Eppard has collaborated with scholars based in United States, Belgium and Poland. Frequent co-authors include R.J. Collier, John C. Byatt, Gwen G. Krivi, Giovanni Lanza, Roy Sorbet, Daniel F. Curran, J.J. Veenhuizen, Jimmy H. Clark, D.E. Bauman and Scott D. Hauser. Their work appears in journals such as Journal of Dairy Science, Journal of Endocrinology, Journal of Animal Science, Domestic Animal Endocrinology and Elsevier eBooks.

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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