J. D. Murray

951 total citations
48 papers, 752 citations indexed

About

J. D. Murray is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, J. D. Murray has authored 48 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Genetics, 18 papers in Molecular Biology and 16 papers in Plant Science. Recurrent topics in J. D. Murray's work include Animal Genetics and Reproduction (27 papers), Chromosomal and Genetic Variations (13 papers) and CRISPR and Genetic Engineering (8 papers). J. D. Murray is often cited by papers focused on Animal Genetics and Reproduction (27 papers), Chromosomal and Genetic Variations (13 papers) and CRISPR and Genetic Engineering (8 papers). J. D. Murray collaborates with scholars based in United States, Australia and Canada. J. D. Murray's co-authors include Juan F. Medrano, Alison L. Van Eenennaam, G.B. Anderson, E. Behboodi, R.H. BonDurant, C. D. Nancarrow, Shelley L. Cargill, M.P. Boland, R. J. Scaramuzzi and Chelsea Moran and has published in prestigious journals such as Molecular and Cellular Biology, Genetics and Science Advances.

In The Last Decade

J. D. Murray

47 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. D. Murray United States	16	447	254	247	117	114	48	752
Eiichi Hondo Japan	17	158 0.4×	227 0.9×	241 1.0×	27 0.2×	109 1.0×	95	1.1k
J. Folch Spain	17	415 0.9×	236 0.9×	557 2.3×	26 0.2×	327 2.9×	37	969
R. C. Jones Australia	16	318 0.7×	236 0.9×	201 0.8×	39 0.3×	28 0.2×	34	878
P. Damiani United States	14	272 0.6×	450 1.8×	797 3.2×	33 0.3×	178 1.6×	24	987
Russell C. Jones Australia	14	295 0.7×	211 0.8×	257 1.0×	125 1.1×	23 0.2×	23	812
M.C. Schiewe United States	19	259 0.6×	172 0.7×	760 3.1×	34 0.3×	223 2.0×	82	1.1k
Bela J. Gulyas United States	20	236 0.5×	389 1.5×	603 2.4×	36 0.3×	170 1.5×	43	1.2k
Julian A. Skidmore United Arab Emirates	23	348 0.8×	246 1.0×	682 2.8×	88 0.8×	736 6.5×	64	1.6k
Sean P. Flaherty Australia	18	254 0.6×	143 0.6×	569 2.3×	82 0.7×	13 0.1×	33	1.0k
B. H. Johnson United States	16	259 0.6×	163 0.6×	189 0.8×	33 0.3×	152 1.3×	26	644

Countries citing papers authored by J. D. Murray

Since Specialization

Citations

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

Fields of papers citing papers by J. D. Murray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. D. Murray

This figure shows the co-authorship network connecting the top 25 collaborators of J. D. Murray. A scholar is included among the top collaborators of J. D. Murray 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 J. D. Murray. J. D. Murray 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

Murray, J. D., François Lanoë, María Nieves Zedeño, et al.. (2024). Genomic analyses correspond with deep persistence of peoples of Blackfoot Confederacy from glacial times. Science Advances. 10(14). eadl6595–eadl6595. 1 indexed citations

Koop, Gerrit, A. De Visscher, Elizabeth A. Maga, et al.. (2012). Short communication: Identification of coagulase-negative staphylococcus species from goat milk with the API Staph identification test and with transfer RNA-intergenic spacer PCR combined with capillary electrophoresis. Journal of Dairy Science. 95(12). 7200–7205. 21 indexed citations

Oberbauer, Anita M., J. Bruce German, & J. D. Murray. (2011). Growth Hormone Enhances Arachidonic Acid Metabolites in a Growth Hormone Transgenic Mouse. Lipids. 46(6). 495–504. 6 indexed citations

Thomas, Adam D., et al.. (2004). Leptin modulates fertility under the influence of elevated growth hormone as modeled in oMt1a-oGH transgenic mice. Journal of Endocrinology. 182(3). 421–432. 5 indexed citations

Thomas, Adam D., et al.. (2001). Growth hormone and fertility in oMt1a-oGH transgenic mice. Reproduction. 122(4). 537–544. 9 indexed citations

Eisen, E. J. & J. D. Murray. (2001). Segregation ratios and growth rate in inactive ovine metallothionein 1a-ovine growth hormone transgenic mice.. Journal of Animal Science. 79(7). 1734–1734. 2 indexed citations

Eenennaam, Alison L. Van, J. D. Murray, & Juan F. Medrano. (1998). Mitotic analysis of the North American white sturgeon, Acipenser transmontanus Richardson (Pisces, Acipenseridae), a fish with a very high chromosome number. Genome. 41(2). 266–271. 27 indexed citations

Eenennaam, Alison L. Van, J. D. Murray, & Juan F. Medrano. (1998). Mitotic analysis of the North American white sturgeon, Acipenser transmontanus Richardson (Pisces, Acipenseridae), a fish with a very high chromosome number. Genome. 41(2). 266–271. 16 indexed citations

Behboodi, E., G.B. Anderson, R.H. BonDurant, et al.. (1995). Birth of large calves that developed from in vitro-derived bovine embryos. Theriogenology. 44(2). 227–232. 194 indexed citations

10.

Behboodi, E., G.B. Anderson, Simon Horvat, et al.. (1993). Microinjection of Bovine Embryos with a Foreign Gene and Its Detection at the Blastocyst Stage. Journal of Dairy Science. 76(11). 3392–3399. 22 indexed citations

11.

Murray, J. D., et al.. (1991). Synaptonemal complex analysis of hybrid cattle. II. Bos indicus × Bos taurus F₁ and backcross hybrids. Genome. 34(2). 220–227. 6 indexed citations

12.

Ward, Kenneth, C Byrne, Canada Hunt, et al.. (1990). The regulation of wool growth in transgenic animals.. 3 indexed citations

13.

Murray, J. D., et al.. (1989). Synaptonemal complex analysis of hybrid cattle. I. Pachytene substaging and the normal full bloods. Genome. 32(5). 856–864. 21 indexed citations

14.

Eldridge, Mark D. B., et al.. (1988). Chromosomal rearrangements in rock wallabies, Petrogale (Marsupialia, Macropodidae). Cytogenetic and Genome Research. 48(4). 228–232. 23 indexed citations

15.

Walton, Judie, et al.. (1987). Zygote Viability in Gene Transfer Experiments. Biology of Reproduction. 37(4). 957–967. 18 indexed citations

16.

Murray, J. D., M.P. Boland, & Chelsea Moran. (1986). Frequency of chromosomal abnormalities in embryos from superovulated Merino ewes. Reproduction. 78(2). 433–437. 10 indexed citations

17.

Boland, M.P., C. D. Nancarrow, J. D. Murray, et al.. (1986). Fertilization and early embryonic development in androstenedione-immunized Merino ewes. Reproduction. 78(2). 423–431. 23 indexed citations

18.

Murray, J. D., Chelsea Moran, M.P. Boland, et al.. (1986). Polyploid cells in blastocysts and early fetuses from Australian Merino sheep. Reproduction. 78(2). 439–446. 40 indexed citations

19.

Murray, J. D., M.P. Boland, Chelsea Moran, et al.. (1985). Occurrence of haploid and haploid/diploid mosaic embryos in untreated and androstenedione-immune Australian Merino sheep. Reproduction. 74(2). 551–555. 16 indexed citations

20.

Murray, J. D., et al.. (1980). Karyotypes, constitutive heterochromatin and taxonomy of ringtail opossums of the genus Pseudocheirus (Marsupialia: Petauridae). Cytogenetic and Genome Research. 27(2-3). 73–81. 7 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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