Wayne S. Skinner

1.1k citations
22 papers · 844 · h-index 14

Impact in

Papers in

    • Insect Resistance and Genetics 6
    • Protein Hydrolysis and Bioactive Peptides 2
    • Insect and Pesticide Research 8
    • Insect-Plant Interactions and Control 2

Wayne S. Skinner

22 papers receiving 814 citations

Peers

Wayne S. Skinner
Comparison fields: 5 of 72
  • Insect Science 248
  • Microbiology 65
  • Cellular and Molecular Neuroscience 165
  • Genetics 229
  • Nutrition and Dietetics 107
Replace Carlo Caporale with:
Carlo Caporale Italy
Koichi Suzuki Japan
Kenji Maehashi Japan
Kazushi Koga Japan
Steven J. Saul United States
Clay Carter United States
Szymon Chowański Poland
Yasuo Aizono Japan
M. Dolores Real Spain
Wayne S. Skinner relative to Carlo Caporale Italy Carlo Caporale's profile →
Citations per field
00.5×9.2×
Carlo Caporale · 1×
Citations per year

Countries citing papers authored by Wayne S. Skinner

Since Specialization
Citations

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

Fields of papers citing papers by Wayne S. Skinner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wayne S. Skinner, 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 S. Skinner Line = papers co-authored together Wayne S. Skinner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012164
2 1989138
3 199173
4 199049
5 199149
6 199245
7 199441
8 202140
9 199039
10 199236
11 200435
12 201933
13 201632
14 200821
15 199313
16 198712
17 19889
18 20037
19 19894
20 19882

About Wayne S. Skinner

Wayne S. Skinner is a scholar working on Molecular Biology, Insect Science, Spectroscopy, Plant Science and Genetics, having authored 22 papers that have together received 844 indexed citations. Recurring topics across this work include Insect and Pesticide Research (8 papers), Insect Resistance and Genetics (6 papers), Analytical Chemistry and Chromatography (4 papers), Wheat and Barley Genetics and Pathology (2 papers), Analytical Methods in Pharmaceuticals (2 papers), Plant nutrient uptake and metabolism (2 papers), Insect-Plant Interactions and Control (2 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). The work is most often cited by research in Insect Science (248 citations), Microbiology (65 citations), Cellular and Molecular Neuroscience (165 citations), Genetics (229 citations) and Nutrition and Dietetics (107 citations). Wayne S. Skinner has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Gary B. Quistad, David A. Schooley, Michael E. Adams, Robert L. Carney, Frances E. Enderlin, Dayna Loeffler, Vic Knauf, Ann J. Slade, Michael N. Steine and D. S. McKemie. Their work appears in journals such as Journal of Biological Chemistry, Toxicon, Journal of Agricultural and Food Chemistry, Drug Metabolism and Disposition and PLANT PHYSIOLOGY.

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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