David Shaw
Impact in
-
- Orthoptera Research and Taxonomy
- Plant and animal studies
- Genetics top 5%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
Papers in
-
- Orthoptera Research and Taxonomy 17
- Genetics 20
- Genetic diversity and population structure 16
- Co-authors
- Pat Wilkinson (8 shared papers)DJ Coates (4 shared papers)Bert Kohlmann (3 shared papers)Michael L. Arnold (4 shared papers)David Coates (2 shared papers)Francis R. Groeters (4 shared papers)B. John (1 shared paper)Graham C. Webb (1 shared paper)
- Journals
- Chromosoma (16 papers)Investigative Radiology (12 papers)Evolution (5 papers)Heredity (3 papers)Radiology (3 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
David Shaw
69 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 114
- Ecology, Evolution, Behavior and Systematics 423
- Genetics 553
- Insect Science 154
- Plant Science 462
- Nature and Landscape Conservation 114
Countries citing papers authored by David Shaw
This map shows the geographic impact of David Shaw'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 Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Shaw more than expected).
Fields of papers citing papers by David Shaw
This network shows the impact of papers produced by David Shaw. 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 Shaw. The network helps show where David Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside David Shaw, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 53 | |
| 2 | 2009 | 50 | |
| 3 | 1976 | 50 | |
| 4 | 1971 | 46 | |
| 5 | 1988 | 42 | |
| 6 | 1978 | 42 | |
| 7 | 1984 | 41 | |
| 8 | 1976 | 40 | |
| 9 | 1980 | 40 | |
| 10 | 1971 | 39 | |
| 11 | 2005 | 39 | |
| 12 | 1985 | 36 | |
| 13 | 1985 | 36 | |
| 14 | 1981 | 36 | |
| 15 | 1972 | 36 | |
| 16 | 1967 | 35 | |
| 17 | 1990 | 33 | |
| 18 | 2020 | 33 | |
| 19 | 1974 | 31 | |
| 20 | 1984 | 30 |
About David Shaw
David Shaw is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Plant Science, Molecular Biology and Insect Science, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Orthoptera Research and Taxonomy (17 papers), Genetic diversity and population structure (16 papers), Chromosomal and Genetic Variations (14 papers), Lanthanide and Transition Metal Complexes (11 papers), Insect-Plant Interactions and Control (10 papers), Insect Resistance and Genetics (8 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Cardiac Arrhythmias and Treatments (4 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (423 citations), Genetics (553 citations), Insect Science (154 citations), Plant Science (462 citations) and Nature and Landscape Conservation (114 citations). David Shaw has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Pat Wilkinson, DJ Coates, Bert Kohlmann, Michael L. Arnold, David Coates, Francis R. Groeters, B. John, Graham C. Webb, Joanne C. Daly and Michael L. Arnold. Their work appears in journals such as Chromosoma, Investigative Radiology, Evolution, Heredity and Radiology.
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.