F. D. Brien

1.3k total citations
58 papers, 991 citations indexed

About

F. D. Brien is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, F. D. Brien has authored 58 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Genetics, 29 papers in Agronomy and Crop Science and 16 papers in Animal Science and Zoology. Recurrent topics in F. D. Brien's work include Genetic and phenotypic traits in livestock (48 papers), Reproductive Physiology in Livestock (23 papers) and Ruminant Nutrition and Digestive Physiology (16 papers). F. D. Brien is often cited by papers focused on Genetic and phenotypic traits in livestock (48 papers), Reproductive Physiology in Livestock (23 papers) and Ruminant Nutrition and Digestive Physiology (16 papers). F. D. Brien collaborates with scholars based in Australia, United Kingdom and United States. F. D. Brien's co-authors include Geoffrey Hinch, M. L. Hebart, N. M. Fogarty, J. H. J. van der Werf, J. C. Greeff, S. I. Mortimer, K. D. Atkins, E. Safari, Gordon Refshauge and Andrew Swan and has published in prestigious journals such as Applied Animal Behaviour Science, Animal Reproduction Science and The Journal of Agricultural Science.

In The Last Decade

F. D. Brien

55 papers receiving 956 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. D. Brien Australia 16 665 554 330 259 70 58 991
G. Quintans Uruguay 21 400 0.6× 676 1.2× 338 1.0× 366 1.4× 112 1.6× 55 969
Georgget Banchero Uruguay 15 463 0.7× 606 1.1× 354 1.1× 342 1.3× 65 0.9× 76 1.0k
C.R. Burke New Zealand 22 864 1.3× 1.3k 2.3× 352 1.1× 258 1.0× 34 0.5× 67 1.7k
M. L. Hebart Australia 16 417 0.6× 319 0.6× 194 0.6× 216 0.8× 81 1.2× 65 764
J. C. Greeff Australia 16 627 0.9× 367 0.7× 299 0.9× 215 0.8× 52 0.7× 71 856
A.R.G. Wylie United Kingdom 18 630 0.9× 771 1.4× 348 1.1× 118 0.5× 28 0.4× 52 1.1k
Miki Sakatani Japan 21 382 0.6× 469 0.8× 406 1.2× 91 0.4× 91 1.3× 53 1.4k
Geoff Pollott United Kingdom 18 762 1.1× 573 1.0× 348 1.1× 144 0.6× 21 0.3× 36 985
Gordon Refshauge Australia 15 294 0.4× 367 0.7× 286 0.9× 120 0.5× 33 0.5× 46 677
Manuel Ramón Spain 24 437 0.7× 325 0.6× 332 1.0× 121 0.5× 23 0.3× 59 1.4k

Countries citing papers authored by F. D. Brien

Since Specialization
Citations

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

Fields of papers citing papers by F. D. Brien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. D. Brien. 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 F. D. Brien. The network helps show where F. D. Brien may publish in the future.

Co-authorship network of co-authors of F. D. Brien

This figure shows the co-authorship network connecting the top 25 collaborators of F. D. Brien. A scholar is included among the top collaborators of F. D. Brien 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 F. D. Brien. F. D. Brien 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
1.
Tearle, Rick, Tong Chen, & F. D. Brien. (2024). A 3‐bp deletion in the SLC45A2 gene is associated with loss of fleece pigmentation in black‐fleeced Suffolk sheep. Animal Genetics. 56(1). e13495–e13495. 2 indexed citations
2.
Brien, F. D., et al.. (2023). An investigation of pathways for rebuilding Australia’s sheep flock. Animal Production Science. 63(13). 1310–1323. 4 indexed citations
3.
Hebart, M. L. & F. D. Brien. (2018). The genetics of lamb survival is different across different birth types. Proceedings of the World Congress on Genetics Applied to Livestock Production. 703. 2 indexed citations
4.
Plush, K.J., F. D. Brien, M. L. Hebart, & PI Hynd. (2016). Thermogenesis and physiological maturity in neonatal lambs: a unifying concept in lamb survival. Animal Production Science. 56(4). 736–745. 37 indexed citations
5.
Kleemann, David O., Jennifer M. Kelly, Skye R. Rudiger, et al.. (2015). Effect of periconceptional nutrition on the growth, behaviour and survival of the neonatal lamb. Animal Reproduction Science. 160. 12–22. 20 indexed citations
6.
Brien, F. D., et al.. (2015). A commercial comparison of ewe breeds for reproduction, wool and lamb growth.. 286–289. 1 indexed citations
7.
Smith, D. H., et al.. (2009). The relationships between crutch cover score and production and easy care traits in Merino sheep.. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 338–341. 5 indexed citations
8.
Safari, E., N. M. Fogarty, David Hopkins, et al.. (2008). Genetic correlations between ewe reproduction and carcass and meat quality traits in Merino sheep. Journal of Animal Breeding and Genetics. 125(6). 397–402. 6 indexed citations
9.
Greeff, J. C., E. Safari, N. M. Fogarty, et al.. (2008). Genetic parameters for carcass and meat quality traits and their relationships to liveweight and wool production in hogget Merino rams. Journal of Animal Breeding and Genetics. 125(3). 205–215. 46 indexed citations
10.
Safari, E., N. M. Fogarty, A. Gilmour, et al.. (2007). Genetic correlations among and between wool, growth and reproduction traits in Merino sheep. Journal of Animal Breeding and Genetics. 124(2). 65–72. 76 indexed citations
11.
Safari, E., N. M. Fogarty, A. Gilmour, et al.. (2007). Across population genetic parameters for wool, growth, and reproduction traits in Australian Merino sheep. 2. Estimates of heritability and variance components. Australian Journal of Agricultural Research. 58(2). 177–184. 62 indexed citations
12.
Hebart, M. L., et al.. (2006). Genetic trends achieved under industry control for different selection strategies in Australian Merinos. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 5–5. 1 indexed citations
13.
Dunshea, Frank R., et al.. (2004). Body composition influences net feed intake in terminal sire rams. Science Access. 1(1). 274–274. 3 indexed citations
14.
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
15.
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
16.
Brien, F. D., et al.. (2002). Comparison of linear and threshold models for predicting direct and maternal genetic effects on number of lambs weaned in Western Australian Merino sheep.. 1–4. 5 indexed citations
17.
Brien, F. D., et al.. (1993). Fibre diameter distribution and WOOLPLAN.. Wool technology and sheep breeding. 41(2). 1 indexed citations
18.
Brien, F. D., et al.. (1992). Manipulation of sex to modify growth and carcass composition of prime lambs.. 2 indexed citations
19.
Brien, F. D.. (1986). Effect of Suppressing Prolactin in the Mouse on Liveweight, Food Intake and Ovulation Rate. Australian Journal of Biological Sciences. 39(3). 311–318.
20.
Brien, F. D., et al.. (1981). Role of plasma progesterone concentration in early pregnancy of the ewe. Australian Journal of Experimental Agriculture and Animal Husbandry. 21(113). 562–565. 9 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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