H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Animal Science and Veterinary D-index 27 Citations 3,272 75 World Ranking 677 National Ranking 46

Overview

What is he best known for?

The fields of study he is best known for:

  • Biochemistry
  • Enzyme
  • Internal medicine

His primary scientific interests are in Food science, Dry matter, Dairy cattle, Fatty acid and Rumen. His studies in Food science integrate themes in fields like Conjugated linoleic acid and Linoleic acid. His Dry matter research includes elements of Meal, Environmental management system, Animal feed and Beef cattle.

His work deals with themes such as Generalized linear mixed model, Database, Yield, Variables and Predictive modelling, which intersect with Dairy cattle. His Fatty acid research is classified as research in Biochemistry. Peter J. Moate has included themes like Unsaturated fatty acid, Lipolysis and Mixed linear model in his Rumen study.

His most cited work include:

  • Board-invited review: Recent advances in biohydrogenation of unsaturated fatty acids within the rumen microbial ecosystem. (517 citations)
  • MINMOD Millennium: A Computer Program to Calculate Glucose Effectiveness and Insulin Sensitivity from the Frequently Sampled Intravenous Glucose Tolerance Test (377 citations)
  • An inhibitor persistently decreased enteric methane emission from dairy cows with no negative effect on milk production (179 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Dry matter, Animal science, Dairy cattle, Food science and Rumen. The Dry matter study combines topics in areas such as Hay, Forage, Pasture and Beef cattle. His Animal science research focuses on Ruminant and how it relates to Fermentation.

Peter J. Moate combines subjects such as Lactose and Animal nutrition with his study of Dairy cattle. His study explores the link between Food science and topics such as Fatty acid that cross with problems in Lipolysis. His studies deal with areas such as Digestion, Methanogenesis and Microbiology as well as Rumen.

He most often published in these fields:

  • Dry matter (29.20%)
  • Animal science (26.28%)
  • Dairy cattle (18.98%)

What were the highlights of his more recent work (between 2017-2021)?

  • Animal science (26.28%)
  • Dry matter (29.20%)
  • Rumen (15.33%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Animal science, Dry matter, Rumen, Ruminant and Beef cattle. The study incorporates disciplines such as Meal, Residual and Heritability in addition to Animal science. His Dry matter research is multidisciplinary, incorporating perspectives in Canola, Methane emissions, Dairy cattle and Grazing.

His Dairy cattle study often links to related topics such as Neutral Detergent Fiber. Phytosterol is closely connected to Animal feed in his research, which is encompassed under the umbrella topic of Rumen. His Ruminant study also includes fields such as

  • Fermentation which connect with Methanogenesis and Silage,
  • Forage which is related to area like Enteric methane.

Between 2017 and 2021, his most popular works were:

  • Prediction of enteric methane production, yield, and intensity in dairy cattle using an intercontinental database (72 citations)
  • Symposium review: Uncertainties in enteric methane inventories, measurement techniques, and prediction models (41 citations)
  • Influence of feeding supplements of almond hulls and ensiled citrus pulp on the milk production, milk composition, and methane emissions of dairy cows. (10 citations)

In his most recent research, the most cited papers focused on:

  • Biochemistry
  • Enzyme
  • Internal medicine

Peter J. Moate mainly focuses on Dry matter, Animal science, Canola, Rumen and Meal. Peter J. Moate combines Dry matter and Respiration in his studies. Many of his Respiration research pursuits overlap with Ruminant, Beef cattle, Propionate, Methane yield and Grazing.

His work on Canola is being expanded to include thematically relevant topics such as Methane emissions. His work carried out in the field of Methane emissions brings together such families of science as Lactose, Dietary treatment and Milk production. His Rumen research incorporates elements of Hay and Monensin.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Board-invited review: Recent advances in biohydrogenation of unsaturated fatty acids within the rumen microbial ecosystem.

T. C. Jenkins;R. J. Wallace;P. J. Moate;E. E. Mosley.
Journal of Animal Science (2008)

779 Citations

MINMOD Millennium: A Computer Program to Calculate Glucose Effectiveness and Insulin Sensitivity from the Frequently Sampled Intravenous Glucose Tolerance Test

Ray C. Boston;Darko Stefanovski;Peter J. Moate;Anne E. Sumner.
Diabetes Technology & Therapeutics (2003)

451 Citations

An inhibitor persistently decreased enteric methane emission from dairy cows with no negative effect on milk production

Alexander N. Hristov;Joonpyo Oh;Fabio Giallongo;Tyler W. Frederick.
Proceedings of the National Academy of Sciences of the United States of America (2015)

265 Citations

Effects of Amount and Source of Fat on the Rates of Lipolysis and Biohydrogenation of Fatty Acids in Ruminal Contents

T.M. Beam;T.C. Jenkins;P.J. Moate;R.A. Kohn.
Journal of Dairy Science (2000)

254 Citations

cis-9, trans-11 Conjugated Linoleic Acid Is Synthesized Directly from Vaccenic Acid in Lactating Dairy Cattle

Erin E. Mosley;Bahman Shafii;Peter J. Moate;Mark A. McGuire.
Journal of Nutrition (2006)

174 Citations

Influence of cold-pressed canola, brewers grains and hominy meal as dietary supplements suitable for reducing enteric methane emissions from lactating dairy cows

P.J. Moate;S.R.O. Williams;C. Grainger;M.C. Hannah.
Animal Feed Science and Technology (2011)

137 Citations

Grape marc reduces methane emissions when fed to dairy cows

P.J. Moate;S.R.O. Williams;V.A. Torok;M.C. Hannah.
Journal of Dairy Science (2014)

132 Citations

Dry matter intake, nutrient selection and milk production of dairy cows grazing rainfed perennial pastures at different herbage allowances in spring

P. J. Moate;D. E. Dalley;J. R. Roche;C. Grainger.
Australian Journal of Experimental Agriculture (1999)

129 Citations

A universal equation to predict methane production of forage-fed cattle in Australia

E. Charmley;S. R. O. Williams;P. J. Moate;R. S. Hegarty.
Animal Production Science (2016)

127 Citations

WinSAAM: a windows-based compartmental modeling system.

Darko Stefanovski;Peter J Moate;Raymond C Boston.
Metabolism-clinical and Experimental (2003)

124 Citations

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