Sarah Ayling

37 total papers · 9.5k total citations
14 papers, 744 citations indexed

About

Sarah Ayling is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Sarah Ayling has authored 14 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 4 papers in Molecular Biology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Sarah Ayling's work include Wheat and Barley Genetics and Pathology (3 papers), Genomics and Phylogenetic Studies (3 papers) and Genetic and Environmental Crop Studies (2 papers). Sarah Ayling is often cited by papers focused on Wheat and Barley Genetics and Pathology (3 papers), Genomics and Phylogenetic Studies (3 papers) and Genetic and Environmental Crop Studies (2 papers). Sarah Ayling collaborates with scholars based in United Kingdom, United States and Japan. Sarah Ayling's co-authors include Jorge Dubcovsky, Ksenia V. Krasileva, Paul Bailey, Cristóbal Uauy, James Simmonds, Hans Vasquez-Gross, Nigel Fosker, T. A. Howell, Leah Clissold and Ricardo H. Ramírez-González and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Genome biology.

In The Last Decade

Sarah Ayling

14 papers receiving 712 citations

Hit Papers

Uncovering hidden variati... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sarah Ayling 649 200 172 130 58 14 744
Satyvaldy Jatayev 565 0.9× 216 1.1× 138 0.8× 80 0.6× 52 0.9× 24 673
Megan Kennedy 453 0.7× 226 1.1× 170 1.0× 197 1.5× 41 0.7× 11 636
Karen Cane 623 1.0× 121 0.6× 224 1.3× 131 1.0× 55 0.9× 17 670
Brian McKinley 515 0.8× 242 1.2× 270 1.6× 278 2.1× 21 0.4× 19 749
John B. Schoper 571 0.9× 239 1.2× 221 1.3× 126 1.0× 106 1.8× 14 683
Natalya Klueva 608 0.9× 244 1.2× 73 0.4× 87 0.7× 32 0.6× 11 714
Lovely Mae F. Lawas 775 1.2× 231 1.2× 83 0.5× 140 1.1× 93 1.6× 17 873
Guihong Yin 749 1.2× 112 0.6× 216 1.3× 274 2.1× 28 0.5× 30 816
Mojgan Amirebrahimi 437 0.7× 300 1.5× 124 0.7× 177 1.4× 48 0.8× 14 680
Yun Fan 640 1.0× 236 1.2× 51 0.3× 106 0.8× 30 0.5× 18 730

Countries citing papers authored by Sarah Ayling

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Ayling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Ayling

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

All Works

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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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