Ottoline Leyser

27.7k total citations · 13 hit papers
119 papers, 20.6k citations indexed

About

Ottoline Leyser is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Ottoline Leyser has authored 119 papers receiving a total of 20.6k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Plant Science, 76 papers in Molecular Biology and 23 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Ottoline Leyser's work include Plant Molecular Biology Research (96 papers), Plant Reproductive Biology (54 papers) and Plant Parasitism and Resistance (36 papers). Ottoline Leyser is often cited by papers focused on Plant Molecular Biology Research (96 papers), Plant Reproductive Biology (54 papers) and Plant Parasitism and Resistance (36 papers). Ottoline Leyser collaborates with scholars based in United Kingdom, United States and Australia. Ottoline Leyser's co-authors include Stefan Kepinski, Petra Stirnberg, Mark Estelle, Lisa Williamson, Malgorzata A. Domagalska, Tom Bennett, Dean Rouse, Alastair Fitter, Ian J. Furner and Dörte Müller and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ottoline Leyser

119 papers receiving 20.2k citations

Hit Papers

The Arabidopsis F-box protein TIR1 is an auxin receptor 1996 2026 2006 2016 2005 2001 1999 2011 1996 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ottoline Leyser United Kingdom 68 19.5k 10.8k 4.4k 553 463 119 20.6k
Tom Beeckman Belgium 79 20.3k 1.0× 12.7k 1.2× 1.3k 0.3× 535 1.0× 377 0.8× 219 22.1k
Mikiko Kojima Japan 62 13.1k 0.7× 7.5k 0.7× 1.1k 0.2× 482 0.9× 846 1.8× 169 14.5k
Richard M. Amasino United States 83 22.0k 1.1× 17.5k 1.6× 1.1k 0.3× 688 1.2× 1.5k 3.3× 165 24.5k
Peter Hedden United Kingdom 65 15.0k 0.8× 10.2k 0.9× 1.0k 0.2× 835 1.5× 960 2.1× 204 17.6k
Thomas Schmülling Germany 67 13.7k 0.7× 9.5k 0.9× 660 0.2× 342 0.6× 434 0.9× 142 15.3k
Steven J. Rothstein Canada 69 10.6k 0.5× 7.3k 0.7× 796 0.2× 620 1.1× 1.1k 2.4× 164 14.0k
Mark Estelle United States 85 25.6k 1.3× 19.9k 1.8× 971 0.2× 294 0.5× 600 1.3× 156 28.9k
Yuriko Osakabe Japan 45 8.8k 0.5× 5.8k 0.5× 744 0.2× 247 0.4× 376 0.8× 83 10.3k
Christine A. Beveridge Australia 53 10.4k 0.5× 3.7k 0.3× 4.6k 1.0× 466 0.8× 287 0.6× 104 11.0k
Ronald Pierik Netherlands 54 8.5k 0.4× 3.9k 0.4× 1.2k 0.3× 352 0.6× 150 0.3× 182 9.7k

Countries citing papers authored by Ottoline Leyser

Since Specialization
Citations

This map shows the geographic impact of Ottoline Leyser'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 Ottoline Leyser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ottoline Leyser more than expected).

Fields of papers citing papers by Ottoline Leyser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ottoline Leyser. 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 Ottoline Leyser. The network helps show where Ottoline Leyser may publish in the future.

Co-authorship network of co-authors of Ottoline Leyser

This figure shows the co-authorship network connecting the top 25 collaborators of Ottoline Leyser. A scholar is included among the top collaborators of Ottoline Leyser 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 Ottoline Leyser. Ottoline Leyser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Leyser, Ottoline, et al.. (2024). The activation of Arabidopsis axillary buds involves a switch from slow to rapid committed outgrowth regulated by auxin and strigolactone. New Phytologist. 242(3). 1084–1097. 5 indexed citations
2.
Hamon‐Josse, Maxime, José Antonio Villaécija‐Aguilar, Karin Ljung, et al.. (2022). KAI2 regulates seedling development by mediating light‐induced remodelling of auxin transport. New Phytologist. 235(1). 126–140. 17 indexed citations
4.
Jong, Maaike de, Hugo Tavares, Raj Pasam, et al.. (2019). Natural variation in Arabidopsis shoot branching plasticity in response to nitrate supply affects fitness. PLoS Genetics. 15(9). e1008366–e1008366. 31 indexed citations
5.
Bennett, Tom, et al.. (2019). Connective auxin transport contributes to strigolactone-mediated shoot branching control independent of the transcription factor BRC1. PLoS Genetics. 15(3). e1008023–e1008023. 51 indexed citations
6.
Bennett, Tom, Yueyang Liang, Madeleine Seale, et al.. (2016). Strigolactone regulates shoot development through a core signalling pathway. Biology Open. 5(12). 1806–1820. 123 indexed citations
7.
Coudert, Yoan, Wojtek Pałubicki, Karin Ljung, et al.. (2015). Three ancient hormonal cues co-ordinate shoot branching in a moss. eLife. 4. 82 indexed citations
8.
Waldie, Tanya, et al.. (2014). Strigolactones and the control of plant development: lessons from shoot branching. The Plant Journal. 79(4). 607–622. 187 indexed citations
9.
Leyser, Ottoline. (2014). What should be in the biology curriculum. School science review. 95(352). 43–45. 1 indexed citations
10.
Cardoso, Catarina, Yanxia Zhang, Muhammad Jamil, et al.. (2014). Natural variation of rice strigolactone biosynthesis is associated with the deletion of two MAX1 orthologs. Proceedings of the National Academy of Sciences. 111(6). 2379–2384. 110 indexed citations
11.
Bennett, Tom, et al.. (2013). Canalization: what the flux?. Trends in Genetics. 30(2). 41–48. 81 indexed citations
12.
Ward, Sally, et al.. (2013). Using Arabidopsis to Study Shoot Branching in Biomass Willow      . PLANT PHYSIOLOGY. 162(2). 800–811. 19 indexed citations
13.
Stirnberg, Petra, Jinping Liu, Sally Ward, Sarah L. Kendall, & Ottoline Leyser. (2012). Mutation of the cytosolic ribosomal protein-encoding RPS10Bgene affects shoot meristematic function in Arabidopsis. BMC Plant Biology. 12(1). 160–160. 28 indexed citations
14.
Leyser, Ottoline. (2009). The control of shoot branching: an example of plant information processing. Plant Cell & Environment. 32(6). 694–703. 199 indexed citations
15.
Kepinski, Stefan & Ottoline Leyser. (2005). The Arabidopsis F-box protein TIR1 is an auxin receptor. Nature. 435(7041). 446–451. 1295 indexed citations breakdown →
16.
Kepinski, Stefan & Ottoline Leyser. (2004). Auxin-induced SCF TIR1 –Aux/IAA interaction involves stable modification of the SCF TIR1 complex. Proceedings of the National Academy of Sciences. 101(33). 12381–12386. 141 indexed citations
17.
Stirnberg, Petra, Karin van de Sande, & Ottoline Leyser. (2002). MAX1andMAX2control shoot lateral branching inArabidopsis. Development. 129(5). 1131–1141. 554 indexed citations breakdown →
18.
Leyser, Ottoline. (2001). Auxin. Current Biology. 11(18). R728–R728. 5 indexed citations
19.
Williamson, Lisa, et al.. (2001). Phosphate Availability Regulates Root System Architecture in Arabidopsis. PLANT PHYSIOLOGY. 126(2). 875–882. 566 indexed citations breakdown →
20.
Zenser, Nathan, Jason Ramos, Dean Rouse, et al.. (2000). Degradation of Aux/IAA proteins is essential for normal auxin signalling. The Plant Journal. 21(6). 553–562. 230 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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