David M. Lambert
Impact in
- Genetics top 0.5%
- Genetic diversity and population structure
- Paleontology top 2%
- Evolution and Paleontology Studies
Papers in
- Co-authors
- Craig D. Millar (60 shared papers)Hilary Miller (5 shared papers)Leon Huynen (29 shared papers)Peter A. Ritchie (9 shared papers)Hamish G. Spencer (6 shared papers)Lara D. Shepherd (10 shared papers)Carlo Baroni (8 shared papers)Sankar Subramanian (13 shared papers)
- Journals
- Conservation Genetics (12 papers)Molecular Ecology (11 papers)PLoS ONE (8 papers)Proceedings of the National Academy of Sciences (6 papers)Journal of Heredity (6 papers)
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
David M. Lambert
175 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 154
- Genetics 2.1k
- Paleontology 536
- Ecology 1.8k
- Ecology, Evolution, Behavior and Systematics 1.1k
- Ecological Modeling 236
Countries citing papers authored by David M. Lambert
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
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-authors
The 25 scholars most cited alongside David M. Lambert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 220 | |
| 2 | 2004 | 156 | |
| 3 | 2008 | 142 | |
| 4 | 1994 | 132 | |
| 5 | 1998 | 122 | |
| 6 | Speciation and the recognition concept : theory and application | 1995 | 118 |
| 7 | 2000 | 110 | |
| 8 | 1986 | 110 | |
| 9 | 2003 | 108 | |
| 10 | 2009 | 82 | |
| 11 | 2003 | 78 | |
| 12 | 2004 | 76 | |
| 13 | 1996 | 74 | |
| 14 | 1997 | 71 | |
| 15 | 2001 | 71 | |
| 16 | 2005 | 70 | |
| 17 | 1999 | 66 | |
| 18 | 2005 | 65 | |
| 19 | 2009 | 64 | |
| 20 | 2012 | 63 |
About David M. Lambert
David M. Lambert is a scholar working on Genetics, Ecology, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Paleontology, having authored 180 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genetic diversity and population structure (61 papers), Plant and animal studies (35 papers), Animal Behavior and Reproduction (32 papers), Avian ecology and behavior (29 papers), Genomics and Phylogenetic Studies (24 papers), Identification and Quantification in Food (18 papers), Wildlife Ecology and Conservation (14 papers) and Forensic and Genetic Research (12 papers). The work is most often cited by research in Genetics (2.1k citations), Paleontology (536 citations), Ecology (1.8k citations), Ecology, Evolution, Behavior and Systematics (1.1k citations) and Ecological Modeling (236 citations). David M. Lambert has collaborated with scholars based in New Zealand, Australia and United States. Frequent 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. Their work appears in journals such as Conservation Genetics, Molecular Ecology, PLoS ONE, Proceedings of the National Academy of Sciences and Journal of Heredity.
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.