D. J. S. Hetzel

658 total citations
31 papers, 506 citations indexed

About

D. J. S. Hetzel is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, D. J. S. Hetzel has authored 31 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 11 papers in Animal Science and Zoology and 9 papers in Agronomy and Crop Science. Recurrent topics in D. J. S. Hetzel's work include Genetic and phenotypic traits in livestock (19 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Reproductive Physiology in Livestock (5 papers). D. J. S. Hetzel is often cited by papers focused on Genetic and phenotypic traits in livestock (19 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Reproductive Physiology in Livestock (5 papers). D. J. S. Hetzel collaborates with scholars based in Australia, Indonesia and United States. D. J. S. Hetzel's co-authors include M. J. Mackinnon, Karin Meyer, F. W. Nicholas, R. D. Drinkwater, Soon Guan Tan, Khatijah Yusoff, J. S. F. Barker, M.J. Stear, Laurel J. Gershwin and S. Brown and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Theoretical and Applied Genetics and Journal of Animal Science.

In The Last Decade

D. J. S. Hetzel

31 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. J. S. Hetzel Australia 13 352 195 141 89 57 31 506
L. Dempfle Germany 13 295 0.8× 190 1.0× 139 1.0× 78 0.9× 22 0.4× 54 526
K. C. Prayaga Australia 13 401 1.1× 220 1.1× 209 1.5× 110 1.2× 28 0.5× 21 548
M. J. Mackinnon Australia 9 296 0.8× 220 1.1× 86 0.6× 78 0.9× 45 0.8× 9 400
C. A. Morris New Zealand 10 219 0.6× 128 0.7× 258 1.8× 76 0.9× 28 0.5× 20 505
M. L. Wolcott Australia 13 508 1.4× 321 1.6× 277 2.0× 67 0.8× 33 0.6× 30 668
Shalaulani James Nsoso Botswana 11 170 0.5× 132 0.7× 132 0.9× 52 0.6× 35 0.6× 46 362
Indrajit Ganguly India 15 359 1.0× 124 0.6× 133 0.9× 42 0.5× 78 1.4× 62 648
D.O. Anindo Kenya 12 292 0.8× 295 1.5× 161 1.1× 177 2.0× 47 0.8× 18 551
O. Cortés Spain 17 498 1.4× 81 0.4× 132 0.9× 30 0.3× 60 1.1× 45 661
Carole Moréno France 17 405 1.2× 82 0.4× 163 1.2× 232 2.6× 66 1.2× 31 721

Countries citing papers authored by D. J. S. Hetzel

Since Specialization
Citations

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

Fields of papers citing papers by D. J. S. Hetzel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. J. S. Hetzel

This figure shows the co-authorship network connecting the top 25 collaborators of D. J. S. Hetzel. A scholar is included among the top collaborators of D. J. S. Hetzel 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 D. J. S. Hetzel. D. J. S. Hetzel 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.
Wood, Ian, et al.. (2006). A meta-analytic assessment of a Thyroglobulin marker for marbling in beef cattle. Genetics Selection Evolution. 38(5). 479–94. 16 indexed citations
2.
Drinkwater, R. D., et al.. (1998). Genetic diversity of Asian water buffalo (Bubalus bubalis): mitochondrial DNA D‐loop and cytochrome b sequence variation. Animal Genetics. 29(4). 253–264. 77 indexed citations
3.
Roberts, John A., et al.. (1997). Evidence for a major gene determining the resistance of Indonesian Thin Tail sheep against Fasciola gigantica. Veterinary Parasitology. 68(4). 309–314. 15 indexed citations
4.
D'Occhio, M. J., et al.. (1997). Smart breeding : selection with markers and advanced reproductive technologies.. 5 indexed citations
5.
Kossarek, L. M., et al.. (1994). Rapid communication: bovine dinucleotide repeat polymorphism RM209. Journal of Animal Science. 72(2). 528–528. 1 indexed citations
6.
Drinkwater, R. D., et al.. (1994). Generalised glycogenosis (Pompe's disease) in Brahman cattle. A review of the syndrome and its control in Australia.. 165–168. 3 indexed citations
7.
Kossarek, L. M., et al.. (1993). Rapid communication: bovine dinucleotide repeat polymorphism RM028. Journal of Animal Science. 71(11). 3177–3177. 1 indexed citations
8.
Wisselaar, H.A., M M Hermans, W.J. Visser, et al.. (1993). Biochemical Genetics of Glycogenosis Type II in Brahman Cattle. Biochemical and Biophysical Research Communications. 190(3). 941–947. 7 indexed citations
9.
Mackinnon, M. J., et al.. (1993). Response in female fertility and calf growth to selection for pregnancy rate in tropical beef cattle. Australian Journal of Agricultural Research. 44(7). 1509–1521. 14 indexed citations
10.
Barendse, W., S. M. ARMITAGE, & D. J. S. Hetzel. (1991). Taq I reveals a polymorphism in cattle when probed with the murine homeobox 2 gene (HOX2). Animal Genetics. 22(5). 445–445. 1 indexed citations
11.
Barendse, W., S. M. ARMITAGE, & D. J. S. Hetzel. (1991). Taq I reveals a polymorphism in cattle when probing with the rat fatty acid binding protein (I‐FABP). Animal Genetics. 22(5). 443–443. 2 indexed citations
12.
Burrow, H. M., GW Seifert, & D. J. S. Hetzel. (1991). Consequences of selection for weaning weight in zebu, Bos taurus and zebu × Bos taurus cattle in the tropics. Australian Journal of Agricultural Research. 42(2). 295–307. 15 indexed citations
13.
Barendse, W. & D. J. S. Hetzel. (1991). Bam HI reveals a polymorphism in cattle when probing with human protein kinase C alpha (PRKCA). Animal Genetics. 22(5). 441–441. 1 indexed citations
14.
Stear, M.J., D. J. S. Hetzel, S. Brown, et al.. (1990). The relationships among ecto- and endoparasite levels, class I antigens of the bovine major histocompatibility system, immunoglobulin E levels and weight gain. Veterinary Parasitology. 34(4). 303–321. 61 indexed citations
15.
Mackinnon, M. J., et al.. (1990). Correlated responses to selection for cow fertility in a tropical beef herd. Animal Science. 50(3). 417–424. 29 indexed citations
16.
Drinkwater, R. D., R. Hediger, & D. J. S. Hetzel. (1990). Polymorphism and location of minisatellite sequences in sheep.. 129–132. 2 indexed citations
17.
Mackinnon, M. J., et al.. (1989). Genetic and environmental effects on the fertility of beef cattle in a tropical environment.. Australian Journal of Agricultural Research. 40(5). 1085–1094. 28 indexed citations
18.
Hetzel, D. J. S. & F. W. Nicholas. (1986). Growth, efficiency and body composition of mice selected for post-weaning weight gain onad libitumor restricted feeding. Genetics Research. 48(2). 101–109. 12 indexed citations
19.
Hetzel, D. J. S. & GW Seifert. (1986). Breeding Objectives and Selection Traits for Extensive Beef Cattle Production in the Tropics. Insecta mundi. 244–258. 1 indexed citations
20.
Hetzel, D. J. S. & F. W. Nicholas. (1982). Direct and correlated responses to selection for post-weaning weight gain on ad libitum or restricted feeding in mice. Theoretical and Applied Genetics. 63(2). 145–150. 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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