David Shaw

5.1k citations
45 papers · 931 · h-index 21

Impact in

Papers in

David Shaw

44 papers receiving 842 citations

Peers

David Shaw
Comparison fields: 5 of 104
  • Ecology, Evolution, Behavior and Systematics 299
  • Genetics 392
  • Plant Science 346
  • Insect Science 113
  • Nature and Landscape Conservation 75
Replace A. G. Burrini with:
A. G. Burrini Italy
María Monclús Argentina
Robert P. Wagner United States
Biljana Stojković Serbia
Thomas M. Boyce Australia
Marie-Julie Favé Canada
Kazuya Kobayashi Japan
Daniel K. Fabian United Kingdom
Xiangdong Liu China
Elina Immonen Sweden
David Shaw relative to A. G. Burrini Italy A. G. Burrini's profile →
Citations per field
00.5×5.2×
A. G. Burrini · 1×
Citations per year

Countries citing papers authored by David Shaw

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with David Shaw Line = papers co-authored together David Shaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197650
2 200950
3 197146
4 202043
5 197842
6 198842
7 198441
8 200539
9 197138
10 198136
11 198536
12 197236
13 196735
14 199034
15 197431
16 198430
17 197027
18 198427
19 198224
20 198522

About David Shaw

David Shaw is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Plant Science, Molecular Biology and Insect Science, having authored 45 papers that have together received 931 indexed citations. Recurring topics across this work include Genetic diversity and population structure (12 papers), Orthoptera Research and Taxonomy (9 papers), Chromosomal and Genetic Variations (9 papers), Insect Resistance and Genetics (5 papers), Lanthanide and Transition Metal Complexes (5 papers), Insect-Plant Interactions and Control (5 papers), Ecology and Vegetation Dynamics Studies (3 papers) and Biological Control of Invasive Species (3 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (299 citations), Genetics (392 citations), Plant Science (346 citations), Insect Science (113 citations) and Nature and Landscape Conservation (75 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, B. John, Graham C. Webb, Joanne C. Daly, Michael L. Arnold, H. A. Nix and David Coates. Their work appears in journals such as Chromosoma, Evolution, Investigative Radiology, Molecular Biology and Evolution and Journal of Stored Products Research.

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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