Kay Scheets

1.2k citations
26 papers · 970 · h-index 15

Impact in

    • Plant and Fungal Interactions Research
    • Plant Virus Research Studies
    • Wheat and Barley Genetics and Pathology
    • Plant Disease Resistance and Genetics
    • Plant-Microbe Interactions and Immunity

Papers in

Kay Scheets

25 papers receiving 939 citations

Peers

Kay Scheets
Comparison fields: 5 of 55
  • Endocrinology 291
  • Plant Science 831
  • Horticulture 12
  • Insect Science 147
  • Gastroenterology 54
Replace Brenda G. Hunter with:
Brenda G. Hunter United States
Pauline Bernardo France
Konduru Krishnamurthy United States
Stanley G. Jensen United States
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Heinrich-Josef Vetten Germany
Zsuzsanna Sasvári United States
Laurence Svanella-Dumas France
Tadao Inouye Japan
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Citations per field
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Brenda G. Hunter · 1×
Citations per year

Countries citing papers authored by Kay Scheets

Since Specialization
Citations

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

Fields of papers citing papers by Kay Scheets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012144
2 2006115
3 1998110
4 198497
5 198984
6 200563
7 198859
8 201156
9 200037
10 198531
11 201530
12 200627
13 201625
14 201125
15 199314
16 201314
17 20199
18 20208
19 19897
20 20084

About Kay Scheets

Kay Scheets is a scholar working on Plant Science, Endocrinology, Molecular Biology, Insect Science and Infectious Diseases, having authored 26 papers that have together received 970 indexed citations. Recurring topics across this work include Plant Virus Research Studies (18 papers), Plant and Fungal Interactions Research (14 papers), RNA and protein synthesis mechanisms (5 papers), Insect-Plant Interactions and Control (4 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Endocrinology (291 citations), Plant Science (831 citations), Horticulture (12 citations), Insect Science (147 citations) and Gastroenterology (54 citations). Kay Scheets has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Charles Hedgcoth, Margaret G. Redinbaugh, Robert C. Nutter, Dieter Söll, Michael W. Palmer, Ulrich Melcher, Steven A. Lommel, Jonathan D. Wren, Richard S. Nelson and Marilyn J. Roossinck. Their work appears in journals such as Virology, Virus Research, Nucleic Acids Research, Journal of Virology and Biochemical and Biophysical Research Communications.

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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