E.J. Austin

1.0k citations
11 papers · 790 · h-index 10

Impact in

    • Reproductive Physiology in Livestock
    • Ruminant Nutrition and Digestive Physiology
  • Genetics top 5%
    • Genetic and phenotypic traits in livestock

Papers in

    • Reproductive Physiology in Livestock 11
    • Ruminant Nutrition and Digestive Physiology 5
    • Genetic and phenotypic traits in livestock 8

E.J. Austin

11 papers receiving 710 citations

Peers

E.J. Austin
Comparison fields: 5 of 40
  • Agronomy and Crop Science 661
  • Genetics 483
  • Public Health, Environmental and Occupational Health 387
  • Animal Science and Zoology 137
  • Reproductive Medicine 90
Replace L.J. Kulick with:
L.J. Kulick United States
J. J. Ireland United States
GE Lamming United Kingdom
F Moreira United States
Etsushi KANEKO Japan
Cássia Maria Barroso Orlandi Brazil
H. J. Howard United States
C. A. C. Fernandes Brazil
R.W. Bender United States
R. C. Fry Australia
E.J. Austin relative to L.J. Kulick United States L.J. Kulick's profile →
Citations per field
00.5×1.5×
L.J. Kulick · 1×
Citations per year

Countries citing papers authored by E.J. Austin

Since Specialization
Citations

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

Fields of papers citing papers by E.J. Austin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside E.J. Austin, 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 E.J. Austin Line = papers co-authored together E.J. Austin links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2001127
2 1999120
3 2002112
4 2000110
5 200092
6
Regulation of follicle waves to maximize fertility in cattle.
199983
7 200865
8 200244
9 200122
10 200111
11 19984

About E.J. Austin

E.J. Austin is a scholar working on Agronomy and Crop Science, Genetics, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Animal Science and Zoology, having authored 11 papers that have together received 790 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (11 papers), Genetic and phenotypic traits in livestock (8 papers), Ruminant Nutrition and Digestive Physiology (5 papers), Reproductive Biology and Fertility (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Effects of Environmental Stressors on Livestock (1 paper). The work is most often cited by research in Agronomy and Crop Science (661 citations), Genetics (483 citations), Public Health, Environmental and Occupational Health (387 citations), Animal Science and Zoology (137 citations) and Reproductive Medicine (90 citations). E.J. Austin has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include M. Mihm, J. F. Roche, J Roche, M.G. Diskin, James J. Ireland, P. G. Knight, J.L.H. Ireland, M.A. Crowe, Elizabeth Lane and Michael P. Ryan. Their work appears in journals such as Domestic Animal Endocrinology, Biology of Reproduction, Theriogenology, Animal Reproduction Science and Journal of Dairy 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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