David M. Lambert

13.5k total citations
180 papers, 4.5k citations indexed

About

David M. Lambert is a scholar working on Genetics, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David M. Lambert has authored 180 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Genetics, 57 papers in Ecology and 52 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David M. Lambert's work include Genetic diversity and population structure (65 papers), Plant and animal studies (36 papers) and Animal Behavior and Reproduction (32 papers). David M. Lambert is often cited by papers focused on Genetic diversity and population structure (65 papers), Plant and animal studies (36 papers) and Animal Behavior and Reproduction (32 papers). David M. Lambert collaborates with scholars based in New Zealand, Australia and United States. David M. Lambert's co-authors include Craig D. Millar, Hilary Miller, Leon Huynen, Peter A. Ritchie, Hamish G. Spencer, Lara D. Shepherd, Carlo Baroni, Sankar Subramanian, Doug P. Armstrong and Brian H. McArdle and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

David M. Lambert

175 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Lambert New Zealand 38 2.2k 1.9k 1.1k 1.0k 561 180 4.5k
Ian Barnes United Kingdom 37 2.9k 1.3× 2.3k 1.3× 638 0.6× 1.4k 1.3× 367 0.7× 97 5.9k
Love Dalén Sweden 35 2.9k 1.3× 2.4k 1.3× 724 0.6× 1.1k 1.1× 503 0.9× 157 5.1k
Lounès Chikhi France 37 2.6k 1.2× 1.6k 0.9× 729 0.6× 819 0.8× 530 0.9× 118 4.7k
David S. Woodruff United States 38 2.1k 1.0× 2.4k 1.3× 1.2k 1.1× 848 0.8× 612 1.1× 95 5.0k
Robert G. Moyle United States 37 2.5k 1.1× 1.5k 0.8× 1.5k 1.3× 1.2k 1.2× 874 1.6× 146 4.5k
Rebecca L. Cann United States 22 2.6k 1.2× 888 0.5× 412 0.4× 1.7k 1.7× 277 0.5× 55 4.6k
Helen F. James United States 31 1.1k 0.5× 1.7k 0.9× 1.0k 0.9× 442 0.4× 578 1.0× 100 3.5k
Kristofer M. Helgen United States 34 1.1k 0.5× 1.8k 1.0× 1.1k 1.0× 714 0.7× 344 0.6× 135 3.9k
Fabrício R. Santos Brazil 39 2.5k 1.1× 978 0.5× 951 0.8× 1.1k 1.1× 864 1.5× 177 5.1k
R. D. E. MacPhee United States 41 1.6k 0.7× 2.4k 1.3× 2.1k 1.9× 1.1k 1.1× 578 1.0× 137 7.1k

Countries citing papers authored by David M. Lambert

Since Specialization
Citations

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

Fields of papers citing papers by David M. Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Lambert. 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 David M. Lambert. The network helps show where David M. Lambert may publish in the future.

Co-authorship network of co-authors of David M. Lambert

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Lambert. A scholar is included among the top collaborators of David M. Lambert 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 David M. Lambert. David M. Lambert 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.
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
3.
Grealy, Alicia, Matthew J. Phillips, Gifford H. Miller, et al.. (2017). Eggshell palaeogenomics: Palaeognath evolutionary history revealed through ancient nuclear and mitochondrial DNA from Madagascan elephant bird (Aepyornis sp.) eggshell. Molecular Phylogenetics and Evolution. 109. 151–163. 50 indexed citations
4.
5.
Shepherd, Lara D., et al.. (2012). Using ancient DNA to enhance museum collections: a case study of rare kiwi ( Apteryx spp.) specimens. Journal of the Royal Society of New Zealand. 43(3). 119–127. 9 indexed citations
6.
Lambert, David M., et al.. (2010). Evolution on a Frozen Continent. American Scientist. 98(5). 386–393. 5 indexed citations
7.
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
8.
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
9.
Huynen, Leon, et al.. (2008). Genetic identification of moa remains recovered from Tiniroto, Gisborne. Journal of the Royal Society of New Zealand. 38(4). 231–235. 7 indexed citations
10.
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
11.
Scofield, R. Paul, et al.. (2008). Ancient genetic variation in one of the world's rarest seabirds. Heredity. 101(6). 543–547. 8 indexed citations
12.
McLean, Ian G., et al.. (2000). Genetic monogamy mirrors social monogamy in the Fiordland crested penguin. New Zealand Journal of Zoology. 27(4). 311–316. 6 indexed citations
13.
Ma, Wei & David M. Lambert. (1997). Minisatellite DNA markers reveal hybridisation between the endangered black robin and tomtit. Electrophoresis. 18(9). 1682–1687. 9 indexed citations
14.
Lambert, David M., et al.. (1996). Book Reviews. Biological Journal of the Linnean Society. 58(4). 499–500. 1 indexed citations
15.
Phillips, Ngaire & David M. Lambert. (1990). A cladistic analysis of species of the molluscan genus Potamopyrgus based on allozyme data*. New Zealand Journal of Zoology. 17(2). 257–263. 4 indexed citations
16.
Phillips, Ngaire & David M. Lambert. (1990). Genetics of Potamopyrgus antipodarum (Gastropoda: Prosobranchia): Variation in unisexual populations 1. New Zealand Journal of Zoology. 17(1). 65–72. 5 indexed citations
17.
Phillips, Ngaire & David M. Lambert. (1989). Genetics of Potamopyrgus antipodarum (Gastropoda: Prosobranchia): evidence for reproductive modes 1. New Zealand Journal of Zoology. 16(3). 435–445. 34 indexed citations
18.
Lambert, David M., et al.. (1988). A genetic analysis of populations of Galaxias maculatus from the Bay of Plenty: Implications for natal river return. New Zealand Journal of Marine and Freshwater Research. 22(3). 321–326. 25 indexed citations
19.
Lambert, David M., et al.. (1983). Cytogenetics of New Zealand blackflies of the genus Austrosimulium (Diptera: Simuliidae). New Zealand Journal of Zoology. 10(3). 271–280. 3 indexed citations
20.
Lambert, David M.. (1981). Cytogenetic evidence of a possible fourth cryptic species within the taxon Anopheles marshallii (Theoblad) (Diptera: Culicidae) from nothern Natal.. 13(2). 168–175. 3 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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