Craig D. Millar

3.7k total citations
95 papers, 2.3k citations indexed

About

Craig D. Millar is a scholar working on Genetics, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Craig D. Millar has authored 95 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Genetics, 45 papers in Ecology and 26 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Craig D. Millar's work include Genetic diversity and population structure (34 papers), Avian ecology and behavior (25 papers) and Animal Behavior and Reproduction (21 papers). Craig D. Millar is often cited by papers focused on Genetic diversity and population structure (34 papers), Avian ecology and behavior (25 papers) and Animal Behavior and Reproduction (21 papers). Craig D. Millar collaborates with scholars based in New Zealand, Australia and United States. Craig D. Millar's co-authors include David M. Lambert, Leon Huynen, Carlo Baroni, Guy R. Warman, Peter A. Ritchie, Sankar Subramanian, Eva C. Winnebeck, Barbara R. Holland, Alexei J. Drummond and R. Paul Scofield and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Craig D. Millar

93 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Craig D. Millar New Zealand 25 1.1k 993 624 497 272 95 2.3k
Simon Hedges United States 15 708 0.7× 878 0.9× 815 1.3× 235 0.5× 270 1.0× 24 2.5k
Frank E. Rheindt Singapore 27 1.0k 1.0× 996 1.0× 542 0.9× 712 1.4× 241 0.9× 129 2.3k
Brenden S. Holland United States 20 775 0.7× 1.0k 1.0× 376 0.6× 618 1.2× 290 1.1× 43 2.2k
Angus Davison United Kingdom 29 857 0.8× 1.4k 1.4× 497 0.8× 635 1.3× 216 0.8× 90 2.8k
Peter A. Ritchie New Zealand 28 1.3k 1.2× 1.0k 1.0× 645 1.0× 514 1.0× 156 0.6× 84 2.6k
Todd R. Disotell United States 31 940 0.9× 688 0.7× 932 1.5× 680 1.4× 748 2.8× 71 3.3k
Thomas W. Quinn United States 19 999 0.9× 870 0.9× 501 0.8× 494 1.0× 117 0.4× 31 1.7k
Jean‐Christophe Auffray France 31 1.4k 1.2× 1.1k 1.1× 333 0.5× 535 1.1× 1.1k 4.0× 70 3.3k
Marcel van Tuinen United States 20 649 0.6× 417 0.4× 402 0.6× 217 0.4× 623 2.3× 47 1.6k
Xuelong Jiang China 27 579 0.5× 868 0.9× 315 0.5× 852 1.7× 412 1.5× 128 2.1k

Countries citing papers authored by Craig D. Millar

Since Specialization
Citations

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

Fields of papers citing papers by Craig D. Millar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig D. Millar

This figure shows the co-authorship network connecting the top 25 collaborators of Craig D. Millar. A scholar is included among the top collaborators of Craig D. Millar 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 Craig D. Millar. Craig D. Millar 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.
McComish, Bennet J., Michael Charleston, Carlo Baroni, et al.. (2024). Ancient and Modern Genomes Reveal Microsatellites Maintain a Dynamic Equilibrium Through Deep Time. Genome Biology and Evolution. 16(3). 2 indexed citations
2.
3.
Wasef, Sally, Sankar Subramanian, Richard O’Rorke, et al.. (2019). Mitogenomic diversity in Sacred Ibis Mummies sheds light on early Egyptian practices. PLoS ONE. 14(11). e0223964–e0223964. 16 indexed citations
4.
Subramanian, Sankar, Elmira Mohandesan, Craig D. Millar, & David M. Lambert. (2015). Distance-dependent patterns of molecular divergences in tuatara mitogenomes. Scientific Reports. 5(1). 8703–8703. 4 indexed citations
5.
Huynen, Leon, Takayuki Suzuki, Toshihiko Ogura, et al.. (2014). Reconstruction and in vivo analysis of the extinct tbx5 gene from ancient wingless moa (Aves: Dinornithiformes). BMC Evolutionary Biology. 14(1). 75–75. 9 indexed citations
6.
Chambers, Geoffrey K., Caitlin Curtis, Craig D. Millar, Leon Huynen, & David M. Lambert. (2014). DNA fingerprinting in zoology: past, present, future. PubMed. 5(1). 3–3. 17 indexed citations
7.
Ismar, Stefanie M. H., et al.. (2010). Morphology of the Recently Re-classified Tasman Masked Booby Sula Dactylatra Tasmani Breeding on the Kermadec Islands. Marine ornithology. 38(2). 3 indexed citations
8.
Lambert, David M., et al.. (2010). Evolution on a Frozen Continent. American Scientist. 98(5). 386–393. 5 indexed citations
9.
Waugh, John, et al.. (2010). Birdstrikes and barcoding: can DNA methods help make the airways safer?. Molecular Ecology Resources. 11(1). 38–45. 16 indexed citations
10.
Igic, Branislav, Kevin A. Parker, Stefanie M. H. Ismar, et al.. (2010). Size dimorphism and avian‐perceived sexual dichromatism in a New Zealand endemic bird, the whitehead Mohoua albicilla. Journal of Morphology. 271(6). 697–704. 18 indexed citations
11.
Winnebeck, Eva C., Craig D. Millar, & Guy R. Warman. (2010). Why Does Insect RNA Look Degraded?. Journal of Insect Science. 10(159). 1–7. 116 indexed citations
12.
Waugh, John, et al.. (2009). Conserved primers for DNA barcoding historical and modern samples from New Zealand and Antarctic birds. Molecular Ecology Resources. 10(3). 431–438. 45 indexed citations
13.
Millar, Craig D., Michael J. Imber, Judith Robins, et al.. (2009). Molecular evidence for the identity of the Magenta petrel. Molecular Ecology Resources. 9(2). 458–461. 7 indexed citations
14.
Millar, Craig D., Leon Huynen, Sankar Subramanian, Elmira Mohandesan, & David M. Lambert. (2008). New developments in ancient genomics. Trends in Ecology & Evolution. 23(7). 386–393. 62 indexed citations
15.
Ritz, Markus S., Craig D. Millar, Gary D. Miller, et al.. (2008). Phylogeography of the southern skua complex—rapid colonization of the southern hemisphere during a glacial period and reticulate evolution. Molecular Phylogenetics and Evolution. 49(1). 292–303. 58 indexed citations
16.
Taylor, Graeme A., et al.. (2008). New Genetic Approach to Detecting Individuals of Rare and Endangered Species. Conservation Biology. 22(5). 1267–1276. 4 indexed citations
17.
Lambert, David M., Craig D. Millar, & Leon Huynen. (2004). Ancient DNA solves sex mystery of the Moa. Griffith Research Online (Griffith University, Queensland, Australia). 25(8). 14–16. 1 indexed citations
18.
Huynen, Leon, Craig D. Millar, R. Paul Scofield, & David M. Lambert. (2003). Nuclear DNA sequences detect species limits in ancient moa. Nature. 425(6954). 175–178. 107 indexed citations
19.
Young, E. C. & Craig D. Millar. (2003). Siblicidal brood reduction in South Polar Skuas. New Zealand Journal of Zoology. 30(2). 79–93. 13 indexed citations
20.
Millar, Craig D., et al.. (1996). Molecular sexing of the communally breeding pukeko: an important ecological tool. Molecular Ecology. 5(2). 289–293. 15 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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