Margaret A. Webster

12 total papers · 456 total citations
11 papers, 329 citations indexed

About

Margaret A. Webster is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Margaret A. Webster has authored 11 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 9 papers in Molecular Biology and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Margaret A. Webster's work include Plant Reproductive Biology (9 papers), Plant Molecular Biology Research (7 papers) and Plant and animal studies (3 papers). Margaret A. Webster is often cited by papers focused on Plant Reproductive Biology (9 papers), Plant Molecular Biology Research (7 papers) and Plant and animal studies (3 papers). Margaret A. Webster collaborates with scholars based in United Kingdom and Japan. Margaret A. Webster's co-authors include Philip M. Gilmartin, Jinhong Li, Jonathan M. Cocker, Jonathan Wright, David Swarbreck, Sarah Dyer, Jinhong Li, Mario Cáccamo, Mark McMullan and Cock van Oosterhout and has published in prestigious journals such as Proceedings of the National Academy of Sciences, New Phytologist and The Plant Journal.

In The Last Decade

Margaret A. Webster

11 papers receiving 324 citations

Author Peers

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

Author Last Decade Papers Cites
Margaret A. Webster 249 196 193 64 20 11 329
Aleksandr A. Korobkov 116 0.5× 176 0.9× 212 1.1× 80 1.3× 14 0.7× 12 330
Sarah Dyer 130 0.5× 115 0.6× 136 0.7× 70 1.1× 13 0.7× 9 236
Charles C. Davis 200 0.8× 144 0.7× 150 0.8× 102 1.6× 24 1.2× 9 333
Brent Berger 187 0.8× 173 0.9× 161 0.8× 41 0.6× 34 1.7× 8 310
Jean-Pierre Henry 197 0.8× 248 1.3× 194 1.0× 112 1.8× 84 4.2× 8 365
Nancy Refulio 133 0.5× 250 1.3× 129 0.7× 29 0.5× 17 0.8× 9 291
Juqing Kang 198 0.8× 61 0.3× 249 1.3× 43 0.7× 21 1.1× 14 332
Sarah J. Baldwin 102 0.4× 118 0.6× 158 0.8× 70 1.1× 18 0.9× 11 233
Tristan Armstrong 158 0.6× 133 0.7× 229 1.2× 66 1.0× 37 1.9× 7 315
Anika Joecker 222 0.9× 76 0.4× 269 1.4× 75 1.2× 17 0.8× 5 341

Countries citing papers authored by Margaret A. Webster

Since Specialization
Citations

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

Fields of papers citing papers by Margaret A. Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret A. Webster. 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 Margaret A. Webster. The network helps show where Margaret A. Webster may publish in the future.

Co-authorship network of co-authors of Margaret A. Webster

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret A. Webster. A scholar is included among the top collaborators of Margaret A. Webster 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 Margaret A. Webster. Margaret A. Webster 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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