E. Μ. Convey

3.6k citations
90 papers · 2.9k · h-index 32

Impact in

Papers in

E. Μ. Convey

89 papers receiving 2.7k citations

Peers

E. Μ. Convey
Comparison fields: 5 of 92
  • Agronomy and Crop Science 1.9k
  • Animal Science and Zoology 636
  • Small Animals 401
  • Reproductive Medicine 382
  • Endocrinology, Diabetes and Metabolism 704
Replace G. E. Moss with:
G. E. Moss United States
Lloyd L. Anderson United States
D. M. Henricks United States
B. E. Howland Canada
J.E. Wheaton United States
J. J. Ford United States
F. Hertelendy United States
R. A. Dailey United States
Y. Folman Israel
M. G. Hunter United Kingdom
E. Μ. Convey relative to G. E. Moss United States G. E. Moss's profile →
Citations per field
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G. E. Moss · 1×
Citations per year

Countries citing papers authored by E. Μ. Convey

Since Specialization
Citations

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

Fields of papers citing papers by E. Μ. Convey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989245
2
Physiology of the estrous cycle.
1983196
3 1973173
4 198098
5 197392
6 198389
7 197487
8 198184
9 197374
10 197970
11 198064
12 199062
13 197356
14 197654
15 198254
16 197852
17 197349
18 197648
19 198247
20 197946

About E. Μ. Convey

E. Μ. Convey is a scholar working on Agronomy and Crop Science, Endocrinology, Diabetes and Metabolism, Small Animals, Animal Science and Zoology and Genetics, having authored 90 papers that have together received 2.9k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (64 papers), Growth Hormone and Insulin-like Growth Factors (27 papers), Genetic and phenotypic traits in livestock (12 papers), Ruminant Nutrition and Digestive Physiology (10 papers), Effects of Environmental Stressors on Livestock (10 papers), Animal Behavior and Welfare Studies (10 papers), Animal health and immunology (4 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). The work is most often cited by research in Agronomy and Crop Science (1.9k citations), Animal Science and Zoology (636 citations), Small Animals (401 citations), Reproductive Medicine (382 citations) and Endocrinology, Diabetes and Metabolism (704 citations). E. Μ. Convey has collaborated with scholars based in United States, Ireland and Japan. Frequent co-authors include H. D. Hafs, H. A. Tucker, Vasantha Padmanabhan, James S. Kesner, V. G. Smith, William Hansel, L. A. Edgerton, W. D. Oxender, Wanda Chan and Roy G. Smith. Their work appears in journals such as Journal of Animal Science, Experimental Biology and Medicine, Journal of Dairy Science, Biology of Reproduction and Endocrinology.

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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