R.M. Akers

5.7k citations
141 papers · 4.4k · h-index 34

Impact in

Papers in

R.M. Akers

139 papers receiving 4.2k citations

Peers

R.M. Akers
Comparison fields: 5 of 132
  • Agronomy and Crop Science 2.5k
  • Animal Science and Zoology 880
  • Small Animals 481
  • Genetics 1.8k
  • Endocrinology, Diabetes and Metabolism 595
Replace A.V. Capuco with:
A.V. Capuco United States
Thomas B. McFadden United States
K. Stelwagen New Zealand
Avi Shamay Israel
George E. Mann United Kingdom
Jeffrey L. Vallet United States
Fuller W. Bazer United States
Takashi Shimizu Japan
J.H. Burton Canada
Maurice P. Boland Ireland
R.M. Akers relative to A.V. Capuco United States A.V. Capuco's profile →
Citations per field
00.5×1.5×
A.V. Capuco · 1×
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 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997272
2 1982210
3 1999185
4 2006170
5 2010138
6 2011135
7 2002114
8 2005107
9 1987100
10 200991
11 199087
12 201381
13 199980
14 201777
15 198374
16 200969
17 198566
18 199364
19 200361
20 200856

About R.M. Akers

R.M. Akers is a scholar working on Agronomy and Crop Science, Endocrinology, Diabetes and Metabolism, Genetics, Animal Science and Zoology and Small Animals, having authored 141 papers that have together received 4.4k indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (50 papers), Growth Hormone and Insulin-like Growth Factors (41 papers), Reproductive Physiology in Livestock (37 papers), Animal Genetics and Reproduction (27 papers), Genetic and phenotypic traits in livestock (17 papers), Cancer Cells and Metastasis (16 papers), Digestive system and related health (16 papers) and Effects of Environmental Stressors on Livestock (13 papers). The work is most often cited by research in Agronomy and Crop Science (2.5k citations), Animal Science and Zoology (880 citations), Small Animals (481 citations), Genetics (1.8k citations) and Endocrinology, Diabetes and Metabolism (595 citations). R.M. Akers has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Thomas B. McFadden, A.V. Capuco, Stephen C. Nickerson, Alan Marc Lefcourt, A.V. Capuco, J. J. Smith, S.E. Ellis, Kris Sejrsen, Heather A. Tucker and William E. Beal. Their work appears in journals such as Journal of Dairy Science, Domestic Animal Endocrinology, Journal of Animal Science, Journal of Endocrinology and Journal of Nutrition.

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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