John Baison
Impact in
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- Forest ecology and management
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- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
Papers in
- Genetics 6
- Genetic and phenotypic traits in livestock 4
- Genetic Mapping and Diversity in Plants and Animals 2
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- Yeasts and Rust Fungi Studies 3
- Co-authors
- Harry X. Wu (8 shared papers)María Rosario García‐Gil (8 shared papers)Zhiqiang Chen (4 shared papers)Jin Pan (3 shared papers)Bo Karlsson (6 shared papers)Johan Westin (3 shared papers)Linghua Zhou (5 shared papers)Douglas G. Scofield (2 shared papers)
In The Last Decade
John Baison
10 papers receiving 256 citations
Peers
Comparison fields: 5 of 32
- Nature and Landscape Conservation 89
- Genetics 139
- Agronomy and Crop Science 28
- Plant Science 89
- Horticulture 2
Countries citing papers authored by John Baison
This map shows the geographic impact of John Baison'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 John Baison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Baison more than expected).
Fields of papers citing papers by John Baison
This network shows the impact of papers produced by John Baison. 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 John Baison. The network helps show where John Baison may publish in the future.
Co-authors
The 25 scholars most cited alongside John Baison, 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 | 2018 | 80 | |
| 2 | 2019 | 46 | |
| 3 | 2020 | 31 | |
| 4 | 2019 | 29 | |
| 5 | 2020 | 19 | |
| 6 | 2019 | 16 | |
| 7 | 2022 | 14 | |
| 8 | 2019 | 12 | |
| 9 | 2020 | 7 | |
| 10 | Mapping and identification of disease resistance candidate genes in three Malus populations using SSRs, DArT and Infinium SNP markers and Illumina sequencing technology | 2014 | 2 |
About John Baison
John Baison is a scholar working on Genetics, Molecular Biology, Plant Science, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 10 papers that have together received 256 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (4 papers), Yeasts and Rust Fungi Studies (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Mycorrhizal Fungi and Plant Interactions (2 papers), Forest ecology and management (2 papers), Horticultural and Viticultural Research (1 paper) and Evolutionary Game Theory and Cooperation (1 paper). The work is most often cited by research in Nature and Landscape Conservation (89 citations), Genetics (139 citations), Agronomy and Crop Science (28 citations), Plant Science (89 citations) and Horticulture (2 citations). John Baison has collaborated with scholars based in Sweden, Australia and China. Frequent co-authors include Harry X. Wu, María Rosario García‐Gil, Zhiqiang Chen, Jin Pan, Bo Karlsson, Johan Westin, Linghua Zhou, Douglas G. Scofield, Carolina Bernhardsson and Pär K. Ingvarsson. Their work appears in journals such as BMC Genomics, Journal of Heredity, G3 Genes Genomes Genetics, Molecular Ecology and Scientific Reports.
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.