Denis O’Meally

3.0k total citations
55 papers, 1.9k citations indexed

About

Denis O’Meally is a scholar working on Genetics, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Denis O’Meally has authored 55 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 19 papers in Molecular Biology and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Denis O’Meally's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (15 papers), Genetic diversity and population structure (10 papers) and Animal Behavior and Reproduction (9 papers). Denis O’Meally is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (15 papers), Genetic diversity and population structure (10 papers) and Animal Behavior and Reproduction (9 papers). Denis O’Meally collaborates with scholars based in Australia, United States and New Zealand. Denis O’Meally's co-authors include Arthur Georges, Stephen D. Sarre, Tariq Ezaz, Jennifer A. Marshall Graves, Clare E. Holleley, Shane T. Ahyong, Kazumi Matsubara, Bhumika Azad, Xiuwen Zhang and Hardip R. Patel and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Denis O’Meally

53 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denis O’Meally Australia 23 1.1k 581 471 467 326 55 1.9k
Kazumi Matsubara Japan 24 1.3k 1.2× 687 1.2× 842 1.8× 405 0.9× 313 1.0× 51 2.1k
Martina Pokorná Czechia 28 1.3k 1.2× 676 1.2× 798 1.7× 591 1.3× 493 1.5× 49 2.0k
Jane Frydenberg Denmark 23 736 0.7× 445 0.8× 191 0.4× 459 1.0× 190 0.6× 46 1.8k
Alexander Hayward United Kingdom 29 528 0.5× 564 1.0× 456 1.0× 720 1.5× 97 0.3× 65 1.9k
Céline Noirot France 23 581 0.5× 648 1.1× 302 0.6× 343 0.7× 144 0.4× 42 1.6k
Alessandro Grapputo Italy 22 530 0.5× 396 0.7× 183 0.4× 624 1.3× 86 0.3× 57 1.7k
Pawel Michalak United States 26 943 0.9× 1.0k 1.7× 413 0.9× 441 0.9× 77 0.2× 81 2.2k
Atushi Fujiwara Japan 24 761 0.7× 652 1.1× 541 1.1× 80 0.2× 150 0.5× 84 1.9k
Kimiyuki Tsuchiya Japan 30 1.4k 1.3× 592 1.0× 400 0.8× 459 1.0× 109 0.3× 111 2.6k
Janine E. Deakin Australia 33 1.4k 1.4× 1.2k 2.1× 856 1.8× 285 0.6× 120 0.4× 92 2.8k

Countries citing papers authored by Denis O’Meally

Since Specialization
Citations

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

Fields of papers citing papers by Denis O’Meally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denis O’Meally. 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 Denis O’Meally. The network helps show where Denis O’Meally may publish in the future.

Co-authorship network of co-authors of Denis O’Meally

This figure shows the co-authorship network connecting the top 25 collaborators of Denis O’Meally. A scholar is included among the top collaborators of Denis O’Meally 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 Denis O’Meally. Denis O’Meally 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.
Edwards, Richard J., Terry Bertozzi, Jillian M. Hammond, et al.. (2025). A genome assembly and annotation for the Australian alpine skink Bassiana duperreyi using long-read technologies. G3 Genes Genomes Genetics. 15(6).
2.
Frankhouser, David, Russell C. Rockne, Dandan Zhao, et al.. (2024). State-transition modeling of blood transcriptome predicts disease evolution and treatment response in chronic myeloid leukemia. Leukemia. 38(4). 769–780. 2 indexed citations
3.
Phillips, Samuel, Danielle Madden, Amber Gillett, et al.. (2024). Koala ocular disease grades are defined by chlamydial load changes and increases in Th2 immune responses. Frontiers in Cellular and Infection Microbiology. 14. 1447119–1447119.
4.
Branciamore, Sergio, David Frankhouser, Denis O’Meally, et al.. (2024). Transcriptome free energy can serve as a dynamic patient-specific biomarker in acute myeloid leukemia. npj Systems Biology and Applications. 10(1). 32–32. 2 indexed citations
5.
Frankhouser, David, Denis O’Meally, Sergio Branciamore, et al.. (2022). Dynamic patterns of microRNA expression during acute myeloid leukemia state-transition. Science Advances. 8(16). eabj1664–eabj1664. 7 indexed citations
6.
Kang, HyunJun, Sergio Branciamore, Denis O’Meally, et al.. (2022). Integration of single-cell transcriptomes and biological function reveals distinct behavioral patterns in bone marrow endothelium. Nature Communications. 13(1). 7235–7235. 6 indexed citations
7.
Zhang, Xiuwen, Susan Wagner, Clare E. Holleley, et al.. (2022). Sex-specific splicing of Z- and W-bornenr5a1alleles suggests sex determination is controlled by chromosome conformation. Proceedings of the National Academy of Sciences. 119(4). 14 indexed citations
8.
Lai, Chih‐Hung, Andrew Burns, Yingjun Luo, et al.. (2021). RAMP2-AS1 Regulates Endothelial Homeostasis and Aging. Frontiers in Cell and Developmental Biology. 9. 635307–635307. 11 indexed citations
9.
Idris, Adi, Aroon Supramaniam, Dhruba Acharya, et al.. (2021). A SARS-CoV-2 targeted siRNA-nanoparticle therapy for COVID-19. Molecular Therapy. 29(7). 2219–2226. 125 indexed citations
10.
O’Meally, Denis, et al.. (2020). MicroRNA dynamics during hibernation of the Australian central bearded dragon (Pogona vitticeps). Scientific Reports. 10(1). 17854–17854. 6 indexed citations
11.
Holleley, Clare E., et al.. (2020). Identification of Y chromosome markers in the eastern three-lined skink (Bassiana duperreyi) using in silico whole genome subtraction. BMC Genomics. 21(1). 667–667. 21 indexed citations
12.
O’Meally, Denis, et al.. (2019). Waking the sleeping dragon: gene expression profiling reveals adaptive strategies of the hibernating reptile Pogona vitticeps. BMC Genomics. 20(1). 460–460. 22 indexed citations
13.
Whittington, Camilla M., et al.. (2018). Transcriptomic changes in the pre-implantation uterus highlight histotrophic nutrition of the developing marsupial embryo. Scientific Reports. 8(1). 2412–2412. 21 indexed citations
14.
Cheng, Yuanyuan, Adam Polkinghorne, Amber Gillett, et al.. (2017). Characterisation of MHC class I genes in the koala. Immunogenetics. 70(2). 125–133. 14 indexed citations
15.
16.
Wright, Belinda, Katrina Morris, Catherine E. Grueber, et al.. (2015). Development of a SNP-based assay for measuring genetic diversity in the Tasmanian devil insurance population. BMC Genomics. 16(1). 791–791. 27 indexed citations
17.
Kelehear, Crystal, David M. Spratt, Denis O’Meally, & Richard Shine. (2014). Pentastomids of wild snakes in the Australian tropics. International Journal for Parasitology Parasites and Wildlife. 3(1). 20–31. 27 indexed citations
18.
Castoe, Todd A., Edward L. Braun, Anne M. Bronikowski, et al.. (2012). Report from the First Snake Genomics and Integrative Biology Meeting. Standards in Genomic Sciences. 7(1). 150–152. 3 indexed citations
19.
O’Meally, Denis, et al.. (2005). A New Species of Spiny-tailed Gecko (Squamata: Diplodactylidae: Strophurus ) from Inland Queensland. Memoirs of the Queensland Museum - Nature. 51(2). 573–582. 7 indexed citations
20.
Ahyong, Shane T. & Denis O’Meally. (2004). Phylogeny of the Decapoda reptantia: Resolution using three molecular loci and morphology. USC Research Bank (University of the Sunshine Coast). 94 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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