M. S. Brown
- Agronomy and Crop Science top 1%
- Animal Science and Zoology top 2%
- Genetics top 10%
- Small Animals top 2%
- Molecular Biology
- Co-authors
- C. H. PonceR. PulikantiM. L. GalyeanJ L GoldsteinC. R. KrehbielGlenn C DuffJ P PetersW.M. Moseley
- Topics
- Ruminant Nutrition and Digestive Physiology (20 papers)Genetic and phenotypic traits in livestock (10 papers)Animal Nutrition and Physiology (10 papers)
- Journals
- Journal of Animal ScienceJournal of Food ProtectionInternational Journal of Infectious Diseases
- Partner nations
- United StatesEcuadorCanada
In The Last Decade
M. S. Brown
39 papers receiving 791 citations
Peers
Comparison fields: 5 of 98
- Agronomy and Crop Science 491
- Animal Science and Zoology 286
- Genetics 212
- Small Animals 164
- Molecular Biology 67
Countries citing papers authored by M. S. Brown
This map shows the geographic impact of M. S. Brown'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 M. S. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. S. Brown more than expected).
Fields of papers citing papers by M. S. Brown
This network shows the impact of papers produced by M. S. Brown. 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 M. S. Brown. The network helps show where M. S. Brown may publish in the future.
Co-authorship network of co-authors of M. S. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of M. S. Brown. A scholar is included among the top collaborators of M. S. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. S. Brown. M. S. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 40 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 27 | |
| 8 | Utilization of wet distillers grains in high-energy beef cattle diets based on processed grain. | 1 |
| 9 | 71 | |
| 10 | 7 | |
| 11 | 144 | |
| 12 | 5 | |
| 13 | 34 | |
| 14 | 19 | |
| 15 | 45 | |
| 16 | 21 | |
| 17 | 10 | |
| 18 | 48 | |
| 19 | Familial hypercholesterolemia: genetic, biochemical and pathophysiologic considerations. | 56 |
| 20 | 7 |
About M. S. Brown
M. S. Brown is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Small Animals, having authored 41 papers that have together received 847 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (20 papers), Genetic and phenotypic traits in livestock (10 papers) and Animal Nutrition and Physiology (10 papers). The work is most often cited by research in Agronomy and Crop Science (491 citations), Animal Science and Zoology (286 citations) and Small Animals (164 citations). M. S. Brown has collaborated with scholars based in United States, Ecuador and Canada. Frequent co-authors include C. H. Ponce, R. Pulikanti, M. L. Galyean, J L Goldstein, C. R. Krehbiel, Glenn C Duff, J P Peters, W.M. Moseley, Bruce E. Hibbard and Joseph A. Robinson. Their work appears in journals such as Journal of Animal Science, Journal of Food Protection and International Journal of Infectious Diseases.
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.