M. S. Brown

1.1k total citations
41 papers, 847 citations indexed

About

M. S. Brown is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, M. S. Brown has authored 41 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Agronomy and Crop Science, 20 papers in Animal Science and Zoology and 10 papers in Genetics. Recurrent topics in M. S. Brown's work include Ruminant Nutrition and Digestive Physiology (20 papers), Genetic and phenotypic traits in livestock (10 papers) and Animal Nutrition and Physiology (10 papers). M. S. Brown is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (20 papers), Genetic and phenotypic traits in livestock (10 papers) and Animal Nutrition and Physiology (10 papers). M. S. Brown collaborates with scholars based in United States, Ecuador and Canada. M. S. Brown's 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 and has published in prestigious journals such as Journal of Animal Science, Journal of Food Protection and International Journal of Infectious Diseases.

In The Last Decade

M. S. Brown

39 papers receiving 791 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. S. Brown United States 15 491 286 212 164 67 41 847
D.L. Harmon United States 19 931 1.9× 273 1.0× 466 2.2× 174 1.1× 77 1.1× 35 1.2k
K K Kreikemeier United States 21 817 1.7× 314 1.1× 361 1.7× 100 0.6× 56 0.8× 40 1.0k
J.T. Schonewille Netherlands 19 685 1.4× 228 0.8× 236 1.1× 157 1.0× 66 1.0× 64 1.1k
N.L. Whitehouse United States 18 1.0k 2.1× 204 0.7× 355 1.7× 231 1.4× 112 1.7× 37 1.3k
C.A. Löest United States 18 930 1.9× 526 1.8× 352 1.7× 174 1.1× 85 1.3× 73 1.3k
R. H. Pritchard United States 16 450 0.9× 373 1.3× 265 1.3× 136 0.8× 44 0.7× 64 867
William S. Swecker United States 18 379 0.8× 228 0.8× 116 0.5× 202 1.2× 182 2.7× 58 928
A.T. van 't Klooster Netherlands 13 532 1.1× 216 0.8× 216 1.0× 182 1.1× 64 1.0× 42 886
I. Nonaka Japan 14 668 1.4× 384 1.3× 142 0.7× 144 0.9× 149 2.2× 52 1.1k
Z.M. Kowalski Poland 16 836 1.7× 281 1.0× 289 1.4× 289 1.8× 105 1.6× 67 1.1k

Countries citing papers authored by M. S. Brown

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Broadway, Paul R., J. A. Carroll, Nicole C Burdick Sanchez, et al.. (2021). Zinc Source and Concentration Altered Physiological Responses of Beef Heifers during a Combined Viral-Bacterial Respiratory Challenge. Animals. 11(3). 646–646. 2 indexed citations
3.
Brown, M. S., et al.. (2019). Modeling and prediction accuracy of ammonia gas emissions from feedlot cattle. Applied Animal Science. 35(3). 347–356. 13 indexed citations
4.
Nimmo, Camus, Ronan Doyle, Rachel Williams, et al.. (2017). Rapid identification of a Mycobacterium tuberculosis full genetic drug resistance profile through whole genome sequencing directly from sputum. International Journal of Infectious Diseases. 62. 44–46. 40 indexed citations
6.
Anderson, Robin C., Roger B. Harvey, Tryon A Wickersham, et al.. (2014). Effect of Distillers Feedstuffs and Lasalocid on Campylobacter Carriage in Feedlot Cattle. Journal of Food Protection. 77(11). 1968–1975. 2 indexed citations
8.
Galyean, M. L., et al.. (2012). Utilization of wet distillers grains in high-energy beef cattle diets based on processed grain.. 61–76. 1 indexed citations
9.
Hulbert, L.E., J. A. Carroll, Nicole C Burdick Sanchez, et al.. (2011). Innate immune responses of temperamental and calm cattle after transportation. Veterinary Immunology and Immunopathology. 143(1-2). 66–74. 71 indexed citations
10.
Osterstock, Jason B., J. C. MacDonald, May Boggess, & M. S. Brown. (2010). Technical note: Analysis of ordinal outcomes from carcass data in beef cattle research1. Journal of Animal Science. 88(10). 3384–3389. 7 indexed citations
11.
Brown, M. S., C. H. Ponce, & R. Pulikanti. (2006). Adaptation of beef cattle to high-concentrate diets: Performance and ruminal metabolism1. Journal of Animal Science. 84(suppl_13). E25–E33. 144 indexed citations
12.
Lawrence, T.E., et al.. (2006). THE PREDICTION OF FAT PERCENTAGE IN THE LONGISSIMUS DORSI MUSCLE IN FED BEEF USING NUCLEAR MAGNETIC RESONANCE. Journal of Muscle Foods. 17(4). 375–380. 5 indexed citations
13.
Vasconcelos, J. T., L. W. Greene, N. A. Cole, et al.. (2006). Effects of phase feeding of protein on performance, blood urea nitrogen concentration, manure nitrogen:phosphorus ratio, and carcass characteristics of feedlot cattle. Journal of Animal Science. 84(11). 3032–3038. 34 indexed citations
15.
Soto-Navarro, S. A., C. R. Krehbiel, Glenn C Duff, et al.. (2000). Influence of feed intake fluctuation and frequency of feeding on nutrient digestion, digesta kinetics, and ruminal fermentation profiles in limit-fed steers.. Journal of Animal Science. 78(8). 2215–2215. 45 indexed citations
16.
Brown, M. S., et al.. (2000). Effect of degree of corn processing on urinary nitrogen composition, serum metabolite and insulin profiles, and performance by finishing steers.. Journal of Animal Science. 78(9). 2464–2464. 21 indexed citations
17.
Brown, M. S., D. M. Hallford, M. L. Galyean, C. R. Krehbiel, & Glenn C Duff. (1999). Effect of ruminal glucose infusion on dry matter intake, urinary nitrogen composition, and serum metabolite and hormone profiles in Ewes.. Journal of Animal Science. 77(11). 3068–3068. 10 indexed citations
18.
Brown, M. S., Stephen P. Peters, N. Franklin Adkinson, et al.. (1987). Arachidonic Acid Metabolites During Nasal Challenge. Archives of Otolaryngology - Head and Neck Surgery. 113(2). 179–183. 48 indexed citations
19.
Brown, M. S. & J L Goldstein. (1975). Familial hypercholesterolemia: genetic, biochemical and pathophysiologic considerations.. PubMed. 20. 273–96. 56 indexed citations
20.
Goldstein, Joseph L., M. S. Brown, A.E. Greene, & L.L. Coriell. (1975). Homozygous familial hypercholesterolemia (<i>receptor-negative</i> type). Cytogenetic and Genome Research. 15(5). 357–359. 7 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026