M.B. Ferguson

898 total citations
47 papers, 763 citations indexed

About

M.B. Ferguson is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, M.B. Ferguson has authored 47 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Genetics, 31 papers in Agronomy and Crop Science and 17 papers in Animal Science and Zoology. Recurrent topics in M.B. Ferguson's work include Genetic and phenotypic traits in livestock (33 papers), Reproductive Physiology in Livestock (23 papers) and Ruminant Nutrition and Digestive Physiology (17 papers). M.B. Ferguson is often cited by papers focused on Genetic and phenotypic traits in livestock (33 papers), Reproductive Physiology in Livestock (23 papers) and Ruminant Nutrition and Digestive Physiology (17 papers). M.B. Ferguson collaborates with scholars based in Australia, Ireland and New Zealand. M.B. Ferguson's co-authors include A. N. Thompson, B. L. Paganoni, Gavin Kearney, D. J. Gordon, B. A. McGregor, CM Oldham, César A. Rosales-Nieto, Graeme B. Martin, J. R. Briegel and Kym L. Butler and has published in prestigious journals such as Journal of Dairy Science, Journal of Animal Science and Meat Science.

In The Last Decade

M.B. Ferguson

43 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.B. Ferguson Australia	16	528	506	223	80	77	47	763
Chris Oldham Australia	16	373 0.7×	290 0.6×	247 1.1×	58 0.7×	116 1.5×	36	664
B. L. Paganoni Australia	13	445 0.8×	378 0.7×	164 0.7×	81 1.0×	68 0.9×	35	572
Gordon Refshauge Australia	15	367 0.7×	294 0.6×	286 1.3×	120 1.5×	37 0.5×	46	677
A.R.G. Wylie United Kingdom	18	771 1.5×	630 1.2×	348 1.6×	118 1.5×	28 0.4×	52	1.1k
F. D. Brien Australia	16	554 1.0×	665 1.3×	330 1.5×	259 3.2×	30 0.4×	58	991
J. T. B. Milton Australia	14	550 1.0×	274 0.5×	144 0.6×	148 1.9×	53 0.7×	27	682
CM Oldham Australia	16	723 1.4×	522 1.0×	199 0.9×	119 1.5×	95 1.2×	40	861
F. A. Ireland United States	13	483 0.9×	301 0.6×	195 0.9×	74 0.9×	29 0.4×	33	663
D.D. Simms United States	14	417 0.8×	307 0.6×	202 0.9×	70 0.9×	48 0.6×	35	662
Daniel W Shike United States	16	434 0.8×	244 0.5×	210 0.9×	109 1.4×	17 0.2×	85	683

Countries citing papers authored by M.B. Ferguson

Since Specialization

Citations

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

Fields of papers citing papers by M.B. Ferguson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.B. Ferguson

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Paganoni, B. L., Clifford L. W. Jones, D. J. Brown, et al.. (2023). Methane, growth and carcase considerations when breeding for more efficient Merino sheep production. animal. 17(11). 100999–100999.

Rosales-Nieto, César A., A. N. Thompson, J. R. Briegel, et al.. (2014). Relationships among body composition, circulating concentrations of leptin and follistatin, and the onset of puberty and fertility in young female sheep. Animal Reproduction Science. 151(3-4). 148–156. 23 indexed citations

Rosales-Nieto, César A., et al.. (2013). Ewe lambs with higher breeding values for growth achieve higher reproductive performance when mated at age 8 months. Theriogenology. 80(5). 427–435. 38 indexed citations

Rosales-Nieto, César A., et al.. (2013). Selection for superior growth advances the onset of puberty and increases reproductive performance in ewe lambs. animal. 7(6). 990–997. 68 indexed citations

Paganoni, B. L., Chris Oldham, M.B. Ferguson, et al.. (2013). Ewe nutrition during pregnancy and birthweight of lambs has minimal impact on fat and eye muscle depth in Merino progeny. Animal Production Science. 53(6). 509–515. 1 indexed citations

Rosales-Nieto, César A., et al.. (2013). Liveweight loss in adult ewes is affected by their sires breeding values for fat and muscle. Murdoch Research Repository (Murdoch University). 311–314. 1 indexed citations

Ferguson, M.B., et al.. (2011). The roads to efficiency in the ewe flock. Murdoch Research Repository (Murdoch University). 3 indexed citations

Oldham, CM, A. N. Thompson, M.B. Ferguson, et al.. (2011). The birthweight and survival of Merino lambs can be predicted from the profile of liveweight change of their mothers during pregnancy. Animal Production Science. 51(9). 776–783. 118 indexed citations

Ferguson, M.B., et al.. (2011). Fluctuation in ewe liveweight during periods of restricted nutrition is influenced by sire. La Revue du praticien. 60(4). 539–40. 1 indexed citations

10.

Pearce, K.L., M.B. Ferguson, G.E. Gardner, et al.. (2008). Dual X-ray absorptiometry accurately predicts carcass composition from live sheep and chemical composition of live and dead sheep. Meat Science. 81(1). 285–293. 31 indexed citations

11.

Ferguson, M.B. & Gavin Kearney. (2004). A comparison of the OFDA2000 with conventional mid-side testing of mohair. South African Journal of Animal Science. 34(5). 4–6. 1 indexed citations

12.

Ferguson, M.B., G. Kearney, & B. L. Paganoni. (2004). Lifetime wool. 3. Ewe liveweight and condition score. Science Access. 1(1). 242–242. 1 indexed citations

13.

Paganoni, B. L., et al.. (2004). Lifetime Wool. 7. Progeny growth rates. Science Access. 1(1). 295–295. 3 indexed citations

14.

Ferguson, M.B., et al.. (2004). Lifetime wool. 6. Progeny birth weights and survival. Science Access. 1(1). 243–243. 2 indexed citations

15.

Ferguson, M.B., G. Kearney, & B. L. Paganoni. (2004). Lifetime Wool. 8. Progeny wool production and quality. Science Access. 1(1). 244–244. 3 indexed citations

16.

Paganoni, B. L., Gavin Kearney, & M.B. Ferguson. (2004). Lifetime wool. 4. Ewe wool production and quality. Science Access. 1(1). 294–294. 2 indexed citations

17.

Ferguson, M.B. & B. A. McGregor. (2004). An evaluation of angora sires through progeny testing - a progress report. South African Journal of Animal Science. 34(5). 7–9. 11 indexed citations

18.

Behrendt, R., et al.. (2002). Wool quality variation in South West Victoria.. Wool technology and sheep breeding. 50(3). 1 indexed citations

19.

Behrendt, R., et al.. (2002). A comparison of estimates of mean fibre diameter, variation in fibre diameter and fibre curvature between OFDA2000 and conventional laboratory-based fibre testing. Wool technology and sheep breeding. 50(4). 780–786. 5 indexed citations

20.

Ferguson, M.B., et al.. (2002). Building lines of wool based on OFDA2000 fibre diameter results. Wool technology and sheep breeding. 50(4). 1 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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