Wayne R. Simpson

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

Impact in

Papers in

Wayne R. Simpson

42 papers receiving 1.2k citations

Peers

Wayne R. Simpson
Comparison fields: 5 of 56
  • Ecology, Evolution, Behavior and Systematics 957
  • Pharmacology 221
  • Cell Biology 203
  • Plant Science 437
  • Environmental Chemistry 100
Replace Christine R. Voisey with:
Christine R. Voisey New Zealand
Mariusz Tadych United States
Michael J. Christensen 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
D. E. Hershman United States
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 2013211
2 2007203
3 2006184
4 201180
5 201546
6 201338
7 201036
8 201535
9 201434
10 200033
11 200828
12 201727
13 201723
14 200722
15 202021
16 201021
17 201818
18 201916
19 201616
20 199816

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 Chemical synthesis and alkaloids (3 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (957 citations), Pharmacology (221 citations), Cell Biology (203 citations), Plant Science (437 citations) and Environmental Chemistry (100 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, John Koolaard and Stuart D. Card. Their work appears in journals such as New Zealand Journal of Agricultural Research, Frontiers in Plant Science, Fungal Biology, Frontiers in Microbiology and HortScience.

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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