S. Hatcher

767 total citations
64 papers, 563 citations indexed

About

S. Hatcher is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, S. Hatcher has authored 64 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Genetics, 24 papers in Agronomy and Crop Science and 23 papers in Animal Science and Zoology. Recurrent topics in S. Hatcher's work include Genetic and phenotypic traits in livestock (42 papers), Effects of Environmental Stressors on Livestock (18 papers) and Reproductive Physiology in Livestock (16 papers). S. Hatcher is often cited by papers focused on Genetic and phenotypic traits in livestock (42 papers), Effects of Environmental Stressors on Livestock (18 papers) and Reproductive Physiology in Livestock (16 papers). S. Hatcher collaborates with scholars based in Australia, United States and Netherlands. S. Hatcher's co-authors include K. D. Atkins, E. Safari, D. J. Brown, Geoffrey Hinch, N. M. Fogarty, Darryl Savage, J. H. J. van der Werf, Andrew Swan, B. A. McGregor and J Eppleston and has published in prestigious journals such as Journal of Animal Science, Small Ruminant Research and Genetics Selection Evolution.

In The Last Decade

S. Hatcher

57 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Hatcher Australia	13	356	243	189	111	55	64	563
Scobie Dr New Zealand	14	230 0.6×	137 0.6×	136 0.7×	128 1.2×	16 0.3×	72	544
K. D. Atkins Australia	14	557 1.6×	340 1.4×	215 1.1×	136 1.2×	20 0.4×	43	664
J. C. Greeff Australia	16	627 1.8×	367 1.5×	299 1.6×	215 1.9×	24 0.4×	71	856
J. C. Greeff Australia	22	447 1.3×	245 1.0×	402 2.1×	380 3.4×	10 0.2×	58	978
Chris Oldham Australia	16	290 0.8×	373 1.5×	247 1.3×	58 0.5×	116 2.1×	36	664
F. D. Brien Australia	16	665 1.9×	554 2.3×	330 1.7×	259 2.3×	30 0.5×	58	991
T. Wuliji United States	12	223 0.6×	145 0.6×	132 0.7×	29 0.3×	16 0.3×	43	419
M.B. Ferguson Australia	16	506 1.4×	528 2.2×	223 1.2×	80 0.7×	77 1.4×	47	763
A. R. Bray New Zealand	10	248 0.7×	174 0.7×	129 0.7×	64 0.6×	13 0.2×	31	495
R. H. Stobart United States	12	189 0.5×	182 0.7×	94 0.5×	39 0.4×	11 0.2×	24	497

Countries citing papers authored by S. Hatcher

Since Specialization

Citations

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

Fields of papers citing papers by S. Hatcher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Hatcher. 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 S. Hatcher. The network helps show where S. Hatcher may publish in the future.

Co-authorship network of co-authors of S. Hatcher

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

All Works

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20 of 20 papers shown

Mayberry, Dianne, S. Hatcher, & Frances Cowley. (2020). New skills, networks and challenges: the changing face of animal production science in Australia. Animal Production Science. 61(3). 201–207. 9 indexed citations

Bolormaa, Sunduimijid, Andrew Swan, D. J. Brown, et al.. (2017). Multiple-trait QTL mapping and genomic prediction for wool traits in sheep. Genetics Selection Evolution. 49(1). 62–62. 33 indexed citations

Hatcher, S., et al.. (2015). Effect of fitting sheep covers and injection of a mineral supplement on the brightness, clean colour and photostability of wool grown by grazing Merino sheep. Animal Production Science. 56(1). 18–23. 1 indexed citations

Hatcher, S. & D. J. Brown. (2015). Is Fibre Comfort Factor Required in Merino Breeding Programs. RUNE (Research UNE). 1 indexed citations

Hatcher, S., et al.. (2015). Genetic parameters for breech cover, wrinkle and wool coverage scores and their implications for Merino sheep breeding programs and flock management. Small Ruminant Research. 130. 36–46. 6 indexed citations

Brown, D. J., Darryl Savage, Geoffrey Hinch, & S. Hatcher. (2014). Monitoring liveweight in sheep is a valuable management strategy: a review of available technologies. Animal Production Science. 55(4). 427–436. 42 indexed citations

Hatcher, S., et al.. (2014). Using partial records to identify productive older ewes to retain in the breeding flock to increase the flock net reproduction rate. Animal Production Science. 54(10). 1631–1634. 6 indexed citations

Hatcher, S., et al.. (2013). Genetic estimates for along and across fibre diameter variation and correlations with subjective wool quality traits in Merino sheep.. 118–121. 1 indexed citations

Hatcher, S., et al.. (2011). Lamb survival – balancing genetics, selection and management. AgEcon Search (University of Minnesota, USA). 7(2). 65–78. 14 indexed citations

10.

Hatcher, S., K. D. Atkins, & E. Safari. (2010). Lamb survival in Australian Merino Sheep: A genetic analysis12. Journal of Animal Science. 88(10). 3198–3205. 49 indexed citations

11.

Hatcher, S., K. D. Atkins, & E. Safari. (2009). Phenotypic aspects of lamb survival in Australian Merino sheep1. Journal of Animal Science. 87(9). 2781–2790. 55 indexed citations

12.

Hatcher, S., et al.. (2009). Survival of adult sheep is driven by longevity genes. 580–583. 5 indexed citations

13.

Fogarty, N. M., E. Safari, S. I. Mortimer, J. C. Greeff, & S. Hatcher. (2009). Heritability of feed intake in grazing Merino ewes and the genetic relationships with production traits. Animal Production Science. 49(12). 1080–1085. 10 indexed citations

14.

Hatcher, S., et al.. (2006). Extreme wool production - implications for fitness. 54(1). 44–48. 3 indexed citations

15.

Hopkins, David, et al.. (2005). Carcass traits, meat quality and muscle enzyme activity in strains of Merino wether hoggets. Australian Journal of Experimental Agriculture. 45(10). 1225–1225. 12 indexed citations

16.

Hatcher, S., et al.. (2005). Optimising genetic potential for wool production and quality through maternal nutrition. AgEcon Search (University of Minnesota, USA). 2(1). 55–62. 2 indexed citations

17.

Hatcher, S., et al.. (2004). 'Extreme Ewes' - an investigation of the relationship between clean fleece weight, fibre diameter and bodyweight. Science Access. 1(1). 81–84. 3 indexed citations

18.

Hatcher, S., et al.. (2003). Wool Buyers Do Not Adversely Discount Fine Wool Grown in \'non-Traditional\' Environments. Wool technology and sheep breeding. 51(2).

19.

Hatcher, S., et al.. (2003). Sheep coats can economically improve the style of western fine wools. Australian Journal of Experimental Agriculture. 43(1). 53–59. 7 indexed citations

20.

Hatcher, S., et al.. (2000). Mating Awassi rams to Merino ewes causes an initial level of fibre contamination which decreases to an insignificant level eight weeks post-mating. Australian Journal of Experimental Agriculture. 40(3). 363–363. 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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