Pippa Kay
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Polysaccharides and Plant Cell Walls
- Plant nutrient uptake and metabolism
- Plant Stress Responses and Tolerance
- Postharvest Quality and Shelf Life Management
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- Plant Reproductive Biology
- Photosynthetic Processes and Mechanisms
- CRISPR and Genetic Engineering
Papers in
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- Plant Molecular Biology Research 4
- Chromosomal and Genetic Variations 3
- Genetics and Plant Breeding 2
- Polysaccharides and Plant Cell Walls 2
- Wheat and Barley Genetics and Pathology 1
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- Plant Reproductive Biology 3
- CRISPR and Genetic Engineering 2
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Stephen M. Swain (3 shared papers)Mikihiro Ogawa (2 shared papers)Sarah M. Wilson (1 shared paper)R. W. Parish (1 shared paper)Michael Groszmann (1 shared paper)John J. Ross (1 shared paper)Germán Spangenberg (3 shared papers)Matthew Hayden (4 shared papers)
- Journals
- Frontiers in Plant Science (3 papers)Theoretical and Applied Genetics (1 paper)New Phytologist (1 paper)Analytical Chemistry (1 paper)The Plant Cell (1 paper)
- Partner nations
- AustraliaUnited StatesCzechia
In The Last Decade
Pippa Kay
9 papers receiving 495 citations
Peers
Comparison fields: 5 of 36
- Plant Science 446
- Molecular Biology 317
- Ecology, Evolution, Behavior and Systematics 29
- Biotechnology 11
- Genetics 31
Countries citing papers authored by Pippa Kay
This map shows the geographic impact of Pippa Kay'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 Pippa Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pippa Kay more than expected).
Fields of papers citing papers by Pippa Kay
This network shows the impact of papers produced by Pippa Kay. 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 Pippa Kay. The network helps show where Pippa Kay may publish in the future.
Co-authors
The 25 scholars most cited alongside Pippa Kay, 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 | 2009 | 335 | |
| 2 | 2018 | 44 | |
| 3 | 2012 | 34 | |
| 4 | 2011 | 28 | |
| 5 | 2020 | 17 | |
| 6 | 2017 | 15 | |
| 7 | 2017 | 13 | |
| 8 | 2015 | 11 | |
| 9 | 2023 | 5 | |
| 10 | 2024 | 0 |
About Pippa Kay
Pippa Kay is a scholar working on Plant Science, Molecular Biology, Genetics, Ecology and Biomedical Engineering, having authored 10 papers that have together received 502 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (4 papers), Plant Reproductive Biology (3 papers), Chromosomal and Genetic Variations (3 papers), Genetics and Plant Breeding (2 papers), CRISPR and Genetic Engineering (2 papers), Polysaccharides and Plant Cell Walls (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Wheat and Barley Genetics and Pathology (1 paper). The work is most often cited by research in Plant Science (446 citations), Molecular Biology (317 citations), Ecology, Evolution, Behavior and Systematics (29 citations), Biotechnology (11 citations) and Genetics (31 citations). Pippa Kay has collaborated with scholars based in Australia, United States and Czechia. Frequent co-authors include Stephen M. Swain, Mikihiro Ogawa, Sarah M. Wilson, R. W. Parish, Michael Groszmann, John J. Ross, Germán Spangenberg, Matthew Hayden, Debbie Wong and Steven R. Webb. Their work appears in journals such as Frontiers in Plant Science, Theoretical and Applied Genetics, New Phytologist, Analytical Chemistry and The Plant Cell.
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.