R.M. Akers

5.7k citations
141 papers · 4.5k · h-index 34

Impact in

Papers in

R.M. Akers

139 papers receiving 4.2k citations

Peers

R.M. Akers
Comparison fields: 5 of 79
  • Agronomy and Crop Science 1.4k
  • Endocrinology, Diabetes and Metabolism 469
  • Small Animals 163
  • Genetics 485
  • Animal Science and Zoology 132
Replace Thomas B. McFadden with:
Thomas B. McFadden United States
A.V. Capuco United States
Avi Shamay Israel
Y. Obara Japan
J. J. Bass New Zealand
Danielle Monniaux France
Feng‐Qi Zhao United States
Douglas J. Bolt United States
Joachim M. Weitzel Germany
Myunggi Baik South Korea
R.M. Akers relative to Thomas B. McFadden United States Thomas B. McFadden's profile →
Citations per field
00.5×2×2.9×
Thomas B. McFadden · 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 1982211
3 1999185
4 2006170
5 2010139
6 2011134
7 2002114
8 2005108
9 1987101
10 200992
11 199087
12 199981
13 201381
14 201777
15 198373
16 200969
17 198566
18 199364
19 201663
20 200362

About R.M. Akers

R.M. Akers is a scholar working on Agronomy and Crop Science, Endocrinology, Diabetes and Metabolism, Genetics, Rheumatology and Food Science, having authored 141 papers that have together received 4.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (37 papers), Milk Quality and Mastitis in Dairy Cows (17 papers), Ruminant Nutrition and Digestive Physiology (14 papers), Estrogen and related hormone effects (8 papers), Genetic and phenotypic traits in livestock (7 papers), Animal Genetics and Reproduction (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Animal Diversity and Health Studies (2 papers). The work is most often cited by research in Agronomy and Crop Science (1.4k citations), Endocrinology, Diabetes and Metabolism (469 citations), Small Animals (163 citations), Genetics (485 citations) and Animal Science and Zoology (132 citations). R.M. Akers has collaborated with scholars based in United States, Canada and New Zealand. Frequent co-authors include Thomas B. McFadden, A.V. Capuco, Stephen C. Nickerson, Alan Marc Lefcourt, A.V. Capuco, J. J. Smith, Kris Sejrsen, S.E. Ellis, 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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