M. C. Barnett

427 total citations
10 papers, 350 citations indexed

About

M. C. Barnett is a scholar working on Agronomy and Crop Science, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, M. C. Barnett has authored 10 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Agronomy and Crop Science, 3 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in M. C. Barnett's work include Ruminant Nutrition and Digestive Physiology (7 papers), Reproductive Physiology in Livestock (6 papers) and Genetic and phenotypic traits in livestock (3 papers). M. C. Barnett is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (7 papers), Reproductive Physiology in Livestock (6 papers) and Genetic and phenotypic traits in livestock (3 papers). M. C. Barnett collaborates with scholars based in Australia, France and Germany. M. C. Barnett's co-authors include R. S. Hegarty, J. P. Goopy, V. H. Oddy, Philip E. Vercoe, I. R. Godwin, Li Li, James R. McFarlane, H.B. Perdok, J. V. Nolan and Sarah Mansfield and has published in prestigious journals such as British Journal Of Nutrition, Animal Feed Science and Technology and Austral Ecology.

In The Last Decade

M. C. Barnett

10 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. C. Barnett Australia	9	272	89	77	65	33	10	350
Woodward Sl	8	452 1.7×	78 0.9×	74 1.0×	122 1.9×	26 0.8×	9	506
R. Woodgate Australia	10	358 1.3×	143 1.6×	143 1.9×	76 1.2×	39 1.2×	12	431
Xiu Min Zhang China	11	245 0.9×	40 0.4×	37 0.5×	44 0.7×	51 1.5×	19	301
Sergej L. Amelchanka Switzerland	11	242 0.9×	60 0.7×	62 0.8×	63 1.0×	31 0.9×	21	323
B.A. Røjen Denmark	10	281 1.0×	85 1.0×	55 0.7×	21 0.3×	39 1.2×	18	334
W. J. Shand United Kingdom	8	473 1.7×	140 1.6×	84 1.1×	50 0.8×	49 1.5×	10	525
María Denisse Montoya-Flores Mexico	7	239 0.9×	28 0.3×	65 0.8×	79 1.2×	21 0.6×	9	310
J.I. Andries Netherlands	4	311 1.1×	120 1.3×	89 1.2×	28 0.4×	27 0.8×	6	338
E. Sandoval New Zealand	10	351 1.3×	110 1.2×	117 1.5×	140 2.2×	29 0.9×	26	421
E.B. Recktenwald United States	4	270 1.0×	95 1.1×	62 0.8×	39 0.6×	26 0.8×	4	313

Countries citing papers authored by M. C. Barnett

Since Specialization

Citations

This map shows the geographic impact of M. C. Barnett'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. C. Barnett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. C. Barnett more than expected).

Fields of papers citing papers by M. C. Barnett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. C. Barnett. 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. C. Barnett. The network helps show where M. C. Barnett may publish in the future.

Co-authorship network of co-authors of M. C. Barnett

This figure shows the co-authorship network connecting the top 25 collaborators of M. C. Barnett. A scholar is included among the top collaborators of M. C. Barnett 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. C. Barnett. M. C. Barnett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Barnett, M. C. & R. S. Hegarty. (2016). Cysteamine: a human health dietary additive with potential to improve livestock growth rate and efficiency. Animal Production Science. 56(8). 1330–1338. 21 indexed citations

Barnett, M. C., et al.. (2016). Use of dietary nitrate to increase productivity and reduce methane production of defaunated and faunated lambs consuming protein-deficient chaff. Animal Production Science. 56(3). 290–297. 17 indexed citations

Barnett, M. C., et al.. (2015). Using portable X-ray fluorescence (pXRF) to determine fecal concentrations of non-absorbable digesta kinetic and digestibility markers in sheep and cattle. Animal Feed Science and Technology. 212. 35–41. 18 indexed citations

Barbieri, I. De, R. S. Hegarty, V. H. Oddy, et al.. (2014). Sheep of divergent genetic merit for wool growth do not differ in digesta kinetics while on restricted intakes. Animal Production Science. 54(9). 1243–1247. 6 indexed citations

Li, Li, et al.. (2014). Use of nitrate and Propionibacterium acidipropionici to reduce methane emissions and increase wool growth of Merino sheep. Animal Production Science. 54(10). 1860–1866. 43 indexed citations

Barnett, M. C., James R. McFarlane, & R. S. Hegarty. (2014). Low ambient temperature elevates plasma triiodothyronine concentrations while reducing digesta mean retention time and methane yield in sheep. Journal of Animal Physiology and Animal Nutrition. 99(3). 483–491. 21 indexed citations

Barnett, M. C. & R. S. Hegarty. (2014). Cysteamine hydrochloride increases bodyweight and wool fibre length, improves feed conversion ratio and reduces methane yield in sheep. Animal Production Science. 54(9). 1288–1288. 13 indexed citations

Goopy, J. P., et al.. (2013). Low-methane yield sheep have smaller rumens and shorter rumen retention time. British Journal Of Nutrition. 111(4). 578–585. 178 indexed citations

Barnett, M. C., J. P. Goopy, James R. McFarlane, et al.. (2012). Triiodothyronine influences digesta kinetics and methane yield in sheep. Animal Production Science. 52(7). 572–577. 20 indexed citations

10.

Whitehouse, Mary, et al.. (2010). From lynx spiders to cotton: Behaviourally mediated predator effects over four trophic levels. Austral Ecology. 36(6). 687–697. 13 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.

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