Max King
Impact in
- Genetics top 5%
- Genetic diversity and population structure
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Plant Virus Research Studies
Papers in
- Genetics 14
- Genetic diversity and population structure 8
- Lepidoptera: Biology and Taxonomy 3
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- Chromosomal and Genetic Variations 11
- Plant Virus Research Studies 3
- Co-authors
- Bernard John (8 shared papers)Dieter Schweizer (1 shared paper)D. L. Hayman (1 shared paper)Roger S. Holmes (1 shared paper)Dennis King (1 shared paper)Jack W. Sites (1 shared paper)Ross A. Sadlier (1 shared paper)W. D. L. Ride (1 shared paper)
- Journals
- Chromosoma (10 papers)Cytogenetic and Genome Research (3 papers)Heredity (2 papers)Amphibia-Reptilia (2 papers)Evolution (1 paper)
- Partner nations
- AustraliaIndiaUnited Kingdom
In The Last Decade
Max King
30 papers receiving 646 citations
Peers
Comparison fields: 5 of 42
- Genetics 413
- Plant Science 543
- Ecology, Evolution, Behavior and Systematics 196
- Ecological Modeling 37
- Global and Planetary Change 147
Countries citing papers authored by Max King
This map shows the geographic impact of Max King'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 Max King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max King more than expected).
Fields of papers citing papers by Max King
This network shows the impact of papers produced by Max King. 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 Max King. The network helps show where Max King may publish in the future.
Co-authors
The 25 scholars most cited alongside Max King, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1976 | 122 | |
| 2 | 1985 | 85 | |
| 3 | 1980 | 79 | |
| 4 | 1987 | 68 | |
| 5 | 1977 | 58 | |
| 6 | 1983 | 55 | |
| 7 | 1977 | 42 | |
| 8 | 1982 | 34 | |
| 9 | 1980 | 30 | |
| 10 | 1983 | 24 | |
| 11 | 1985 | 24 | |
| 12 | 1978 | 20 | |
| 13 | 1973 | 15 | |
| 14 | 1975 | 15 | |
| 15 | 1989 | 11 | |
| 16 | 1992 | 10 | |
| 17 | 1984 | 7 | |
| 18 | 1985 | 6 | |
| 19 | 1983 | 6 | |
| 20 | 1985 | 5 |
About Max King
Max King is a scholar working on Genetics, Plant Science, Global and Planetary Change, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 30 papers that have together received 740 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (11 papers), Genetic diversity and population structure (8 papers), Amphibian and Reptile Biology (8 papers), Plant Virus Research Studies (3 papers), Wildlife Ecology and Conservation (3 papers), Lepidoptera: Biology and Taxonomy (3 papers), Species Distribution and Climate Change (3 papers) and Insect Resistance and Genetics (3 papers). The work is most often cited by research in Genetics (413 citations), Plant Science (543 citations), Ecology, Evolution, Behavior and Systematics (196 citations), Ecological Modeling (37 citations) and Global and Planetary Change (147 citations). Max King has collaborated with scholars based in Australia, India and United Kingdom. Frequent co-authors include Bernard John, Dieter Schweizer, D. L. Hayman, Roger S. Holmes, Dennis King, Jack W. Sites, Ross A. Sadlier, W. D. L. Ride, Curtis W. Sabrosky and Mark Adams. Their work appears in journals such as Chromosoma, Cytogenetic and Genome Research, Heredity, Amphibia-Reptilia 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.