R.M. Akers

953 citations
27 papers · 761 · h-index 15

Impact in

Papers in

    • Reproductive Physiology in Livestock 26
    • Ruminant Nutrition and Digestive Physiology 8
    • Milk Quality and Mastitis in Dairy Cows 4
    • Genetic and phenotypic traits in livestock 14

R.M. Akers

27 papers receiving 722 citations

Peers

R.M. Akers
Comparison fields: 5 of 54
  • Agronomy and Crop Science 562
  • Animal Science and Zoology 204
  • Genetics 377
  • Small Animals 99
  • Endocrinology, Diabetes and Metabolism 139
Replace R.P. Radcliff with:
R.P. Radcliff United States
H. A. Tucker United States
H.L. Buttle United Kingdom
H. M. Schoenemann United States
Chiho KAWASHIMA Japan
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M. Van Amburgh United States
J.J. Reeves United States
Y. R. Boisclair United States
J.A. Koprowski United States
R.M. Akers relative to R.P. Radcliff United States R.P. Radcliff's profile →
Citations per field
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Citations per year

Countries citing papers authored by R.M. Akers

Since Specialization
Citations

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

Fields of papers citing papers by R.M. Akers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.M. Akers. 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 R.M. Akers. The network helps show where R.M. Akers may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985100
2 199986
3 198581
4 198778
5 199367
6 201650
7 198648
8 201646
9 198924
10 198922
11 200621
12 198020
13 198417
14 201715
15 199414
16 198313
17 201810
18 19989
19 20118
20 19918

About R.M. Akers

R.M. Akers is a scholar working on Agronomy and Crop Science, Genetics, Animal Science and Zoology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 27 papers that have together received 761 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (26 papers), Genetic and phenotypic traits in livestock (14 papers), Effects of Environmental Stressors on Livestock (9 papers), Ruminant Nutrition and Digestive Physiology (8 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Milk Quality and Mastitis in Dairy Cows (4 papers), Reproductive Biology and Fertility (2 papers) and Thyroid Disorders and Treatments (1 paper). The work is most often cited by research in Agronomy and Crop Science (562 citations), Animal Science and Zoology (204 citations), Genetics (377 citations), Small Animals (99 citations) and Endocrinology, Diabetes and Metabolism (139 citations). R.M. Akers has collaborated with scholars based in United States, South Korea and Morocco. Frequent co-authors include R.E. Pearson, M. A. Barnes, A.J. Geiger, G.W. Kazmer, Karen Plaut, J.H. Herbein, D.E. Bauman, Robert J. Aiello, N. Agergaard and F.C. Gwazdauskas. Their work appears in journals such as Journal of Dairy Science, Domestic Animal Endocrinology, Journal of Animal Science, Journal of Endocrinology and BMC Genomics.

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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