Rod Peakall
Impact in
- Genetics top 0.01%
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
-
- Plant and animal studies
Papers in
-
- Plant and animal studies 120
-
- Ecology and Vegetation Dynamics Studies 44
- Co-authors
- Peter E. SmouseDavid R. HuffAndrew J. BeattieDavid B. LindenmayerRyan D. PhillipsFlorian P. SchiestlDaniel EbertMonica Ruibal
- Journals
- Evolution (17 papers)Molecular Ecology (15 papers)Annals of Botany (10 papers)Frontiers in Plant Science (6 papers)Botanical Journal of the Linnean Society (6 papers)
- Partner nations
- AustraliaUnited StatesSwitzerland
In The Last Decade
Rod Peakall
182 papers receiving 33.6k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Genetics 18.2k
- Ecology, Evolution, Behavior and Systematics 12.0k
- Nature and Landscape Conservation 6.2k
- Horticulture 382
- Plant Science 13.1k
Countries citing papers authored by Rod Peakall
This map shows the geographic impact of Rod Peakall'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 Rod Peakall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rod Peakall more than expected).
Fields of papers citing papers by Rod Peakall
This network shows the impact of papers produced by Rod Peakall. 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 Rod Peakall. The network helps show where Rod Peakall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rod Peakall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 19 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 18 | |
| 8 | 2018 | 9 | |
| 9 | 2017 | 18 | |
| 10 | 2016 | 84 | |
| 11 | 2015 | 11 | |
| 12 | 2012 | 163 | |
| 13 | 2010 | 184 | |
| 14 | 2009 | 16 | |
| 15 | 2004 | 35 | |
| 16 | 2003 | 472 | |
| 17 | Spatial autocorrelation analysis of individual multiallele and multilocus genetic structure Hit paper breakdown → | 1999 | 925 |
| 18 | 1998 | 396 | |
| 19 | Notes on the anthecology of Pterostylis curta (Orchidaceae) | 1995 | 12 |
| 20 | 1993 | 23 |
About Rod Peakall
Rod Peakall is a scholar working on Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Genetics, Plant Science and Insect Science, having authored 184 papers that have together received 34.8k indexed citations. Recurring topics across this work include Plant and animal studies (120 papers), Genetic diversity and population structure (51 papers), Plant Parasitism and Resistance (48 papers), Ecology and Vegetation Dynamics Studies (44 papers), Plant and Fungal Species Descriptions (18 papers), Wildlife Ecology and Conservation (18 papers), Insect and Pesticide Research (17 papers) and Plant biochemistry and biosynthesis (16 papers). The work is most often cited by research in Genetics (18.2k citations), Ecology, Evolution, Behavior and Systematics (12.0k citations), Nature and Landscape Conservation (6.2k citations), Horticulture (382 citations) and Plant Science (13.1k citations). Rod Peakall has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Peter E. Smouse, Peter E. Smouse, David R. Huff, Andrew J. Beattie, David B. Lindenmayer, Ryan D. Phillips, Florian P. Schiestl, Daniel Ebert, Monica Ruibal and Michael R. Whitehead. Their work appears in journals such as Evolution, Molecular Ecology, Annals of Botany, Frontiers in Plant Science and Botanical Journal of the Linnean Society.
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.