Robert C. Layton

814 citations
21 papers · 673 · h-index 14

Impact in

  • Cell Biology top 10%
    • Plant Pathogens and Fungal Diseases
    • Mycotoxins in Agriculture and Food
    • Plant Disease Resistance and Genetics
    • Wheat and Barley Genetics and Pathology

Papers in

    • Mycotoxins in Agriculture and Food 3
    • Plant Disease Resistance and Genetics 2
    • Influenza Virus Research Studies 5
    • Respiratory viral infections research 3

Robert C. Layton

20 papers receiving 646 citations

Peers

Robert C. Layton
Comparison fields: 5 of 86
  • Cell Biology 138
  • Plant Science 308
  • Modeling and Simulation 29
  • Insect Science 73
  • Epidemiology 159
Replace Fanya Zeng with:
Fanya Zeng Hong Kong
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Yaxiong Jia China
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Citations per field
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Citations per year

Countries citing papers authored by Robert C. Layton

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Layton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C. Layton. 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 Robert C. Layton. The network helps show where Robert C. Layton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996151
2 1996106
3 201061
4 201154
5 201250
6 201241
7 198938
8 201127
9 201026
10 201024
11 199023
12 201120
13 201115
14 199815
15 19896
16 20094
17 20053
18 20083
19 19842
20 19852

About Robert C. Layton

Robert C. Layton is a scholar working on Plant Science, Epidemiology, Insect Science, Molecular Biology and Genetics, having authored 21 papers that have together received 673 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Insect Resistance and Genetics (3 papers), Respiratory viral infections research (3 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Mycotoxins in Agriculture and Food (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Plant Disease Resistance and Genetics (2 papers) and Hemiptera Insect Studies (2 papers). The work is most often cited by research in Cell Biology (138 citations), Plant Science (308 citations), Modeling and Simulation (29 citations), Insect Science (73 citations) and Epidemiology (159 citations). Robert C. Layton has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Ronald L. Greene, Bruce W. Horn, В. С. Соболев, Joe W. Dorner, Frederick Koster, Kevin S. Harrod, D. J. Isenhour, B. R. Wiseman, John Pyles and Andrew P. Gigliotti. Their work appears in journals such as PLoS ONE, American Journal of Veterinary Research, Mycologia, Journal of Medical Primatology and Toxicology and Industrial Health.

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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