Robert C. Layton

820 citations
23 papers · 671 · 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 4
    • Influenza Virus Research Studies 5
    • Respiratory viral infections research 3

Robert C. Layton

22 papers receiving 645 citations

Peers

Robert C. Layton
Comparison fields: 5 of 86
  • Cell Biology 143
  • Plant Science 311
  • Modeling and Simulation 30
  • Insect Science 73
  • Epidemiology 159
Replace Fanya Zeng with:
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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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996151
2 1996106
3 201060
4 201153
5 201250
6 201240
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, Molecular Biology, Insect Science and Infectious Diseases, having authored 23 papers that have together received 671 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Mycotoxins in Agriculture and Food (4 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Indoor Air Quality and Microbial Exposure (3 papers), Insect Resistance and Genetics (3 papers), Respiratory viral infections research (3 papers), Vector-borne infectious diseases (3 papers) and Plant Pathogens and Fungal Diseases (2 papers). The work is most often cited by research in Cell Biology (143 citations), Plant Science (311 citations), Modeling and Simulation (30 citations), Insect Science (73 citations) and Epidemiology (159 citations). Robert C. Layton has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include В. С. Соболев, Ronald L. Greene, Bruce W. Horn, Joe W. Dorner, Frederick Koster, Kevin S. Harrod, B. R. Wiseman, D. J. Isenhour, John Pyles and Andrew P. Gigliotti. Their work appears in journals such as PLoS ONE, Mycologia, American Journal of Veterinary Research, Toxicology and Industrial Health and Journal of Medical Primatology.

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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