Chris Moran

2.6k total citations
70 papers, 1.8k citations indexed

About

Chris Moran is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Chris Moran has authored 70 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Genetics, 19 papers in Molecular Biology and 12 papers in Plant Science. Recurrent topics in Chris Moran's work include Genetic and phenotypic traits in livestock (22 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and Genetic diversity and population structure (18 papers). Chris Moran is often cited by papers focused on Genetic and phenotypic traits in livestock (22 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and Genetic diversity and population structure (18 papers). Chris Moran collaborates with scholars based in Australia, United States and United Kingdom. Chris Moran's co-authors include Jaime Gongora, Sabine Fenner, Jonathan P. Stoye, John M. Coffin, Jun Heon Lee, Gavin E. Greenoak, Yizhou Chen, María Begoña Cachón-González, S Best and Sally R. Isberg and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Circulation Research.

In The Last Decade

Chris Moran

70 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Moran Australia 24 881 615 246 220 207 70 1.8k
Budhan S. Pukazhenthi United States 32 777 0.9× 613 1.0× 463 1.9× 83 0.4× 151 0.7× 115 3.0k
F. W. Nicholas Australia 27 1.9k 2.1× 439 0.7× 175 0.7× 422 1.9× 214 1.0× 135 2.8k
Desmond W. Cooper Australia 31 1.2k 1.4× 676 1.1× 789 3.2× 244 1.1× 255 1.2× 98 3.1k
S. M. Schmutz Canada 30 1.7k 2.0× 794 1.3× 287 1.2× 325 1.5× 140 0.7× 116 3.3k
Sean McWilliam Australia 30 1.2k 1.3× 808 1.3× 166 0.7× 241 1.1× 199 1.0× 66 2.4k
Pierre Comizzoli United States 34 830 0.9× 1.1k 1.7× 482 2.0× 160 0.7× 139 0.7× 194 3.6k
Victor A. David United States 28 1.3k 1.5× 881 1.4× 748 3.0× 138 0.6× 154 0.7× 72 2.4k
Junfeng Pang China 22 523 0.6× 583 0.9× 227 0.9× 279 1.3× 172 0.8× 42 1.5k
Naoya Yuhki United States 29 1.1k 1.3× 1.2k 1.9× 555 2.3× 214 1.0× 201 1.0× 51 3.4k
Nucharin Songsasen United States 33 596 0.7× 710 1.2× 455 1.8× 135 0.6× 114 0.6× 133 3.3k

Countries citing papers authored by Chris Moran

Since Specialization
Citations

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

Fields of papers citing papers by Chris Moran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Moran

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Moran. A scholar is included among the top collaborators of Chris Moran 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 Chris Moran. Chris Moran 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.
Marjaneh, Mahdi Moradi, Edwin P. Kirk, Ralph Patrick, et al.. (2023). Quantitative trait and transcriptome analysis of genetic complexity underpinning cardiac interatrial septation in mice using an advanced intercross line. eLife. 12. 4 indexed citations
2.
Merchant, Mark, et al.. (2017). Crocodylian nuclear factor kappa B. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 213. 28–34. 10 indexed citations
3.
Gibb, Alice C., et al.. (2015). The Teleost Intramandibular Joint: A mechanism That Allows Fish to Obtain Prey Unavailable to Suction Feeders. Integrative and Comparative Biology. 55(1). 85–96. 20 indexed citations
4.
Moran, Chris, et al.. (2009). Comparison of PERV genomic locations between Asian and European pigs. Animal Genetics. 41(1). 89–92. 11 indexed citations
5.
Miles, Lee G., Sally R. Isberg, Travis C. Glenn, et al.. (2009). A genetic linkage map for the saltwater crocodile (Crocodylus porosus). BMC Genomics. 10(1). 339–339. 26 indexed citations
6.
Gongora, Jaime, et al.. (2006). Phylogenetic divisions among Collared peccaries (Pecari tajacu) detected using mitochondrial and nuclear sequences. Molecular Phylogenetics and Evolution. 41(1). 1–11. 21 indexed citations
7.
Fan, Bin, Jaime Gongora, Yizhou Chen, et al.. (2005). Population genetic variability and origin of Auckland Island feral pigs. Journal of the Royal Society of New Zealand. 35(3). 279–285. 9 indexed citations
8.
Gurung, Ratna B., et al.. (2005). Genetic structure of the indigenous chickens of Bhutan.. SAARC Journal of Agriculture. 3. 69–89. 5 indexed citations
9.
Lee, Jun Heon, Wayne J. Hawthorne, Stacey N. Walters, et al.. (2005). Characterization of the swine major histocompatibility complex alleles at eight loci in Westran pigs. Xenotransplantation. 12(4). 303–307. 41 indexed citations
10.
Gongora, Jaime & Chris Moran. (2005). Nuclear and mitochondrial evolutionary analyses of Collared, White-lipped, and Chacoan peccaries (Tayassuidae). Molecular Phylogenetics and Evolution. 34(1). 181–189. 33 indexed citations
11.
O’Connell, Philip J., Wayne J. Hawthorne, Jeremy R. Chapman, et al.. (2005). Genetic and functional evaluation of the level of inbreeding of the Westran pig: a herd with potential for use in xenotransplantation. Xenotransplantation. 12(4). 308–315. 20 indexed citations
12.
Cheung, Carol C., et al.. (2003). Quantitative trait loci for steady-state platelet count in mice. The American Journal of Human Genetics. 73(5). 1 indexed citations
13.
Murphy, Michael A., M. R. Shariflou, & Chris Moran. (2002). High quality genomic DNA extraction from large milk samples. Journal of Dairy Research. 69(4). 645–649. 46 indexed citations
14.
Gongora, Jaime, Yizhou Chen, Jaime E. Bernal, F. W. Nicholas, & Chris Moran. (2002). Interspecific amplification of peccary microsatellite markers using porcine primers. Animal Genetics. 33(4). 312–314. 11 indexed citations
15.
Li, K., B. Fan, Shuo Zhao, et al.. (2000). Analysis of diversity and genetic relationships between four Chinese indigenous pig breeds and one AustraliaN commercial pig breed. Animal Genetics. 31(5). 322–325. 65 indexed citations
16.
Li, Kui, et al.. (1999). Genetic variation of 27 microsatellite loci in three Hubei indigenous pig breeds. Biodiversity Science. 7(2). 91–96. 5 indexed citations
17.
18.
Rettenberger, G., Jochen Bruch, Craig W. Beattie, et al.. (1995). Chromosomal assignment of seventeen porcine microsatellites and genes by use of a somatic cell hybrid mapping panel. Animal Genetics. 26(4). 269–273. 15 indexed citations
19.
Yerle, Martine, A. Goureau, Joël Gellin, Paul Le Tissier, & Chris Moran. (1994). Rapid mapping of cosmid clones on pig chromosomes by fluorescence in situ hybridization. Mammalian Genome. 5(1). 34–37. 42 indexed citations
20.
Stoye, Jonathan P., Sabine Fenner, Gavin E. Greenoak, Chris Moran, & John M. Coffin. (1988). Role of endogenous retroviruses as mutagens: The hairless mutation of mice. Cell. 54(3). 383–391. 174 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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