Sue Mayer

815 citations
19 papers · 516 indexed · h-index 9
Topics
Genetically Modified Organisms Research (9 papers)Climate Change Communication and Perception (3 papers)CRISPR and Genetic Engineering (3 papers)
Journals
NatureSHILAP Revista de lepidopterologíaNature Biotechnology

In The Last Decade

Sue Mayer

16 papers receiving 424 citations

Peers

Sue Mayer
Comparison fields: 5 of 101
  • Plant Science 263
  • Molecular Biology 152
  • Sociology and Political Science 119
  • Genetics 68
  • Global and Planetary Change 67
Replace V. Beekman with:
V. Beekman Netherlands
David Castle Canada
Kai Purnhagen Germany
Karin Edvardsson Björnberg Sweden
Brian J. Schilling United States
Sukant K. Misra United States
Kynda R. Curtis United States
Lee Ann Jackson Australia
Philipp Aerni Switzerland
Michael A. Gollin United States
Sue Mayer relative to V. Beekman Netherlands V. Beekman's profile →
Citations per field
00.5×1.5×2.0×
V. Beekman · 1×
Citations per year

Countries citing papers authored by Sue Mayer

Since Specialization
Citations

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

Fields of papers citing papers by Sue Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sue Mayer

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 5
2 17
3 17
4
Deliberative Mapping: appraising options for closing ‘the kidney gap'
5
5 40
6 107
7 31
8 4
9 31
10 216
11 2
12
Rethinking Risk: a pilot multicriteria mapping of a genetically modified crop in agricultural systems in the UK
24
13 0
14
Uncertainty, precaution and decision making : the release of genetically modified organisms into the environment.
5
15 1
16 1
17 1
18 8
19
Field research on behalf of the handicapped.
1

About Sue Mayer

Sue Mayer is a scholar working on Plant Science, Information Systems and Management and Management of Technology and Innovation, having authored 19 papers that have together received 516 indexed citations. Recurring topics across this work include Genetically Modified Organisms Research (9 papers), Climate Change Communication and Perception (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Plant Science (263 citations), General Agricultural and Biological Sciences (43 citations) and Biotechnology (42 citations). Sue Mayer has collaborated with scholars based in United Kingdom, Denmark and Netherlands. Frequent co-authors include Andy Stirling, Erik Millstone, Eric J. Brunner, David Barling, Bo Ekstrand, John Howlett, Tim Lang, Huib de Vriend, S. Carmichael and N. C. Craig Sharp. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Nature Biotechnology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026