Kay Robinson‐Beers

1.3k citations
17 papers · 1.1k indexed · h-index 11
Topics
Plant Molecular Biology Research (7 papers)Plant Reproductive Biology (7 papers)Plant Taxonomy and Phylogenetics (6 papers)
Partner nations
United States

In The Last Decade

Kay Robinson‐Beers

17 papers receiving 1.0k citations

Peers

Kay Robinson‐Beers
Comparison fields: 5 of 39
  • Plant Science 981
  • Molecular Biology 893
  • Ecology, Evolution, Behavior and Systematics 150
  • Mechanical Engineering 22
  • Genetics 18
Replace Elizabeth Schultz with:
Elizabeth Schultz Canada
Peter Engstr�m Sweden
Edwin P. Groot Germany
Jennifer E. Klenz Canada
Pablo Sánchez Austria
Daniel M. Zurek United States
Peter Bommert United States
Vicente Balanzà Spain
Richard G. Schneeberger United States
Wakana Tanaka Japan
Kay Robinson‐Beers relative to Elizabeth Schultz Canada Elizabeth Schultz's profile →
Citations per field
00.5×1.7×
Elizabeth Schultz · 1×
Citations per year

Countries citing papers authored by Kay Robinson‐Beers

Since Specialization
Citations

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

Fields of papers citing papers by Kay Robinson‐Beers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay Robinson‐Beers. 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 Kay Robinson‐Beers. The network helps show where Kay Robinson‐Beers may publish in the future.

Co-authorship network of co-authors of Kay Robinson‐Beers

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 158
2 125
3 53
4
Genetic analysis of ovule development in Arabidopsis thaliana
2
5 110
6 23
7 60
8 292
9 122
10 43
11 40
12 13
13 3
14 6
15 10
16 9
17 1

About Kay Robinson‐Beers

Kay Robinson‐Beers is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Urology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (7 papers), Plant Reproductive Biology (7 papers) and Plant Taxonomy and Phylogenetics (6 papers). The work is most often cited by research in Plant Science (981 citations), Molecular Biology (893 citations) and Ecology, Evolution, Behavior and Systematics (150 citations). Kay Robinson‐Beers has collaborated with scholars based in United States. Frequent co-authors include Charles S. Gasser, Robert E. Pruitt, J. Christopher Gaiser, Shawn C. Baker, Thompson Demetrio Pizzolato, Animesh Ray, S. Milligan, Daphne Preuss, Jean D. Lang and Ray F. Evert. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Plant Cell and Genetics.

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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