Wayne R. Simpson

1.6k citations
42 papers · 1.2k · h-index 17

Impact in

Papers in

Wayne R. Simpson

41 papers receiving 1.2k citations

Peers

Wayne R. Simpson
Comparison fields: 5 of 58
  • Ecology, Evolution, Behavior and Systematics 942
  • Cell Biology 213
  • Pharmacology 220
  • Plant Science 444
  • Environmental Chemistry 104
Replace Christine R. Voisey with:
Christine R. Voisey New Zealand
Mariusz Tadych United States
Stuart D. Card New Zealand
Nikki D. Charlton United States
M.J. Christensen New Zealand
M. R. Siegel United States
L. P. Bush United States
Barry M. Cunfer United States
Robert P. Doss United States
Lars G. Kamphuis Australia
Wayne R. Simpson relative to Christine R. Voisey New Zealand Christine R. Voisey's profile →
Citations per field
00.5×1.5×
Christine R. Voisey · 1×
Citations per year

Countries citing papers authored by Wayne R. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Wayne R. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne R. Simpson. 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 Wayne R. Simpson. The network helps show where Wayne R. Simpson may publish in the future.

Co-authors

The 25 scholars most cited alongside Wayne R. Simpson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wayne R. Simpson Line = papers co-authored together Wayne R. Simpson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013206
2 2007200
3 2006183
4 201179
5 201544
6 201339
7 201036
8 201533
9 200033
10 201432
11 200827
12 201727
13 201722
14 200722
15 201021
16 202021
17 201817
18 199816
19 201616
20 201915

About Wayne R. Simpson

Wayne R. Simpson is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology, Pharmacology, Cell Biology and Plant Science, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant and fungal interactions (37 papers), Botanical Research and Chemistry (25 papers), Plant Toxicity and Pharmacological Properties (15 papers), Fungal Biology and Applications (8 papers), Plant Pathogens and Fungal Diseases (7 papers), Turfgrass Adaptation and Management (5 papers), Mycorrhizal Fungi and Plant Interactions (3 papers) and Plant Taxonomy and Phylogenetics (3 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (942 citations), Cell Biology (213 citations), Pharmacology (220 citations), Plant Science (444 citations) and Environmental Chemistry (104 citations). Wayne R. Simpson has collaborated with scholars based in New Zealand, United States and China. Frequent co-authors include Richard D. Johnson, Christine R. Voisey, D.E. Hume, Linda J. Johnson, Michael J. Christensen, Marty J. Faville, Gregory T. Bryan, Damien J. Fleetwood, Stuart D. Card and B.A. Tapper. Their work appears in journals such as Fungal Biology, Frontiers in Plant Science, New Zealand Journal of Agricultural Research, Journal of the American Society for Horticultural Science and Journal of Fungi.

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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