Graham P. Wallis
- Genetics top 0.5%
- Nature and Landscape Conservation top 0.5%
- Ecology top 1%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Molecular Biology top 10%
- Co-authors
- Jonathan M. WatersSteven A. TrewickJan W. ArntzenIan G. JamiesonJennifer L. NielsenMary Morgan‐RichardsCatherine E. GrueberAdrian M. Paterson
- Topics
- Genetic diversity and population structure (70 papers)Fish Ecology and Management Studies (30 papers)Fish Biology and Ecology Studies (19 papers)
- Partner nations
- New ZealandAustraliaUnited Kingdom
In The Last Decade
Graham P. Wallis
113 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 94
- Genetics 2.7k
- Nature and Landscape Conservation 2.0k
- Ecology 1.7k
- Ecology, Evolution, Behavior and Systematics 1.2k
- Molecular Biology 850
Countries citing papers authored by Graham P. Wallis
This map shows the geographic impact of Graham P. Wallis'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 Graham P. Wallis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graham P. Wallis more than expected).
Fields of papers citing papers by Graham P. Wallis
This network shows the impact of papers produced by Graham P. Wallis. 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 Graham P. Wallis. The network helps show where Graham P. Wallis may publish in the future.
Co-authorship network of co-authors of Graham P. Wallis
This figure shows the co-authorship network connecting the top 25 collaborators of Graham P. Wallis. A scholar is included among the top collaborators of Graham P. Wallis 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 Graham P. Wallis. Graham P. Wallis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | Provenance of Ichthyosaura alpestris (Caudata: Salamandridae) introductions to France and New Zealand assessed by mitochondrial DNA analysis | 13 |
| 7 | 32 | |
| 8 | 65 | |
| 9 | 15 | |
| 10 | 45 | |
| 11 | 51 | |
| 12 | 19 | |
| 13 | 5 | |
| 14 | 7 | |
| 15 | 118 | |
| 16 | 19 | |
| 17 | 14 | |
| 18 | 27 | |
| 19 | 60 | |
| 20 | 20 |
About Graham P. Wallis
Graham P. Wallis is a scholar working on Nature and Landscape Conservation, Ecological Modeling and Aquatic Science, having authored 115 papers that have together received 5.3k indexed citations. Recurring topics across this work include Genetic diversity and population structure (70 papers), Fish Ecology and Management Studies (30 papers) and Fish Biology and Ecology Studies (19 papers). The work is most often cited by research in Nature and Landscape Conservation (2.0k citations), Ecological Modeling (664 citations) and Aquatic Science (729 citations). Graham P. Wallis has collaborated with scholars based in New Zealand, Australia and United Kingdom. Frequent co-authors include Jonathan M. Waters, Steven A. Trewick, Jan W. Arntzen, Ian G. Jamieson, Jennifer L. Nielsen, Mary Morgan‐Richards, Catherine E. Grueber, Adrian M. Paterson, Dave Craw and Russell D. Gray. Their work appears in journals such as PLoS ONE, Trends in Ecology & Evolution and Evolution.
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.