Pippa Kay

1.1k total citations
10 papers, 502 citations indexed

About

Pippa Kay is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Pippa Kay has authored 10 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 7 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Pippa Kay's work include Plant Molecular Biology Research (4 papers), Chromosomal and Genetic Variations (3 papers) and Plant Reproductive Biology (3 papers). Pippa Kay is often cited by papers focused on Plant Molecular Biology Research (4 papers), Chromosomal and Genetic Variations (3 papers) and Plant Reproductive Biology (3 papers). Pippa Kay collaborates with scholars based in Australia, United States and United Kingdom. Pippa Kay's co-authors include Stephen M. Swain, Mikihiro Ogawa, Sarah M. Wilson, John J. Ross, Michael Groszmann, R. W. Parish, Germán Spangenberg, Matthew Hayden, Steven R. Webb and John P. Davies and has published in prestigious journals such as The Plant Cell, Analytical Chemistry and New Phytologist.

In The Last Decade

Pippa Kay

9 papers receiving 495 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pippa Kay Australia	8	446	317	31	29	12	10	502
Antonio A. Alfonso United States	3	363 0.8×	374 1.2×	65 2.1×	19 0.7×	11 0.9×	5	491
Fuguang Li China	8	450 1.0×	293 0.9×	14 0.5×	15 0.5×	6 0.5×	17	482
Julia Hilscher Austria	9	237 0.5×	298 0.9×	26 0.8×	10 0.3×	8 0.7×	10	366
Yakun Xie China	13	635 1.4×	388 1.2×	26 0.8×	21 0.7×	4 0.3×	15	688
Qinfu Sun China	9	340 0.8×	320 1.0×	28 0.9×	13 0.4×	4 0.3×	11	436
Maia Gurushidze Germany	10	461 1.0×	307 1.0×	38 1.2×	76 2.6×	24 2.0×	11	537
Aihua Sha China	11	399 0.9×	145 0.5×	29 0.9×	8 0.3×	8 0.7×	25	457
Jaimie Schnell Canada	7	294 0.7×	263 0.8×	24 0.8×	24 0.8×	9 0.8×	9	354
Duncan Coleman Japan	4	365 0.8×	363 1.1×	10 0.3×	25 0.9×	6 0.5×	4	431
Vai S. Lor United States	7	394 0.9×	234 0.7×	45 1.5×	10 0.3×	8 0.7×	8	435

Countries citing papers authored by Pippa Kay

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Pippa Kay

This figure shows the co-authorship network connecting the top 25 collaborators of Pippa Kay. A scholar is included among the top collaborators of Pippa Kay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pippa Kay. Pippa Kay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Kay, Pippa, et al.. (2024). Efficient multi-allelic genome editing via CRISPR–Cas9 ribonucleoprotein-based delivery to Brassica napus mesophyll protoplasts. Frontiers in Plant Science. 15. 1397632–1397632.

Dutta, Somak, et al.. (2023). Overcoming roadblocks for in vitro nurseries in plants: induction of meiosis. Frontiers in Plant Science. 14. 1204813–1204813. 5 indexed citations

Qureshi, Naeela, Pippa Kay, Kerrie Forrest, et al.. (2020). Fine Mapping of Lr49 Using 90K SNP Chip Array and Flow-Sorted Chromosome Sequencing in Wheat. Frontiers in Plant Science. 10. 1787–1787. 17 indexed citations

Ran, Yidong, Nicola J. Patron, Pippa Kay, et al.. (2018). Zinc finger nuclease‐mediated precision genome editing of an endogenous gene in hexaploid bread wheat (Triticum aestivum) using a DNA repair template. Plant Biotechnology Journal. 16(12). 2088–2101. 44 indexed citations

Shi, Fan, Josquin Tibbits, Raj Pasam, et al.. (2017). Exome sequence genotype imputation in globally diverse hexaploid wheat accessions. Theoretical and Applied Genetics. 130(7). 1393–1404. 15 indexed citations

Pinheiro, Leonardo, Helen O’Brien, Julian Druce, et al.. (2017). Interlaboratory Reproducibility of Droplet Digital Polymerase Chain Reaction Using a New DNA Reference Material Format. Analytical Chemistry. 89(21). 11243–11251. 13 indexed citations

Shinozuka, Hiroshi, Noel O. I. Cogan, Pippa Kay, et al.. (2015). A simple method for semi-random DNA amplicon fragmentation using the methylation-dependent restriction enzyme MspJI. BMC Biotechnology. 15(1). 25–25. 11 indexed citations

Kay, Pippa, Michael Groszmann, John J. Ross, R. W. Parish, & Stephen M. Swain. (2012). Modifications of a conserved regulatory network involving INDEHISCENT controls multiple aspects of reproductive tissue development in Arabidopsis. New Phytologist. 197(1). 73–87. 34 indexed citations

Swain, Stephen M., Pippa Kay, & Mikihiro Ogawa. (2011). Preventing unwanted breakups. Plant Signaling & Behavior. 6(1). 93–97. 28 indexed citations

10.

Ogawa, Mikihiro, Pippa Kay, Sarah M. Wilson, & Stephen M. Swain. (2009). ARABIDOPSIS DEHISCENCE ZONE POLYGALACTURONASE1 (ADPG1), ADPG2, and QUARTET2 Are Polygalacturonases Required for Cell Separation during Reproductive Development in Arabidopsis . The Plant Cell. 21(1). 216–233. 335 indexed citations

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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