Mitchell Gill
Impact in
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- Genetics and Plant Breeding
- Smart Agriculture and AI
- Genetic and Environmental Crop Studies
- Plant Virus Research Studies
- Wheat and Barley Genetics and Pathology
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- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
- Genetics 5
- Genetic Mapping and Diversity in Plants and Animals 4
- Genomics and Rare Diseases 1
- Genetic and phenotypic traits in livestock 1
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- Genetics and Plant Breeding 4
- Chromosomal and Genetic Variations 1
- Legume Nitrogen Fixing Symbiosis 1
- Co-authors
- David Edwards (7 shared papers)Jacqueline Batley (5 shared papers)Philipp E. Bayer (6 shared papers)Haifei Hu (2 shared papers)Mohammed Bennamoun (3 shared papers)Jacob I. Marsh (2 shared papers)Robyn Anderson (2 shared papers)Monica F. Danilevicz (4 shared papers)
- Journals
- Theoretical and Applied Genetics (1 paper)Frontiers in Genetics (1 paper)BMC Plant Biology (1 paper)Computational and Structural Biotechnology Journal (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Mitchell Gill
7 papers receiving 200 citations
Peers
Comparison fields: 5 of 53
- Plant Science 126
- Genetics 81
- Agronomy and Crop Science 9
- Analytical Chemistry 8
- Health Informatics 1
Countries citing papers authored by Mitchell Gill
This map shows the geographic impact of Mitchell Gill'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 Mitchell Gill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Gill more than expected).
Fields of papers citing papers by Mitchell Gill
This network shows the impact of papers produced by Mitchell Gill. 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 Mitchell Gill. The network helps show where Mitchell Gill may publish in the future.
Co-authors
The 14 scholars most cited alongside Mitchell Gill, 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 | 2021 | 60 | |
| 2 | 2022 | 56 | |
| 3 | 2022 | 46 | |
| 4 | 2022 | 20 | |
| 5 | 2023 | 11 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 4 |
About Mitchell Gill
Mitchell Gill is a scholar working on Genetics, Plant Science, Molecular Biology, Endocrinology and Cancer Research, having authored 7 papers that have together received 203 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (4 papers), Genetics and Plant Breeding (4 papers), Genomics and Phylogenetic Studies (2 papers), Genomics and Rare Diseases (1 paper), Plant and Fungal Interactions Research (1 paper), Chromosomal and Genetic Variations (1 paper), Legume Nitrogen Fixing Symbiosis (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Plant Science (126 citations), Genetics (81 citations), Agronomy and Crop Science (9 citations), Analytical Chemistry (8 citations) and Health Informatics (1 citation). Mitchell Gill has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include David Edwards, Jacqueline Batley, Philipp E. Bayer, Haifei Hu, Mohammed Bennamoun, Jacob I. Marsh, Robyn Anderson, Monica F. Danilevicz, Jakob Petereit and Henry T. Nguyen. Their work appears in journals such as Theoretical and Applied Genetics, Frontiers in Genetics, BMC Plant Biology, Computational and Structural Biotechnology Journal and International Journal of Molecular Sciences.
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.