Shaun Morroll

1.1k citations
13 papers · 884 indexed · h-index 10

Impact in

    • Plant Molecular Biology Research
    • Plant Disease Resistance and Genetics
    • Wheat and Barley Genetics and Pathology
    • Plant-Microbe Interactions and Immunity
    • Antimicrobial Peptides and Activities

Papers in

Shaun Morroll

13 papers receiving 862 citations

Peers

Shaun Morroll
Comparison fields: 5 of 63
  • Plant Science 516
  • Microbiology 86
  • Immunology 224
  • Animal Science and Zoology 69
  • Molecular Biology 448
Replace Sarah Sims with:
Sarah Sims United Kingdom
Sarah Milne United Kingdom
Marina Clemente Argentina
Mark Fife United Kingdom
Larry D. Bacon United States
Klaus Pietsch Germany
Sylvia Broeders Belgium
Simone Duprat France
Lijun Yang Japan
M. Shieh United States
Shaun Morroll relative to Sarah Sims United Kingdom Sarah Sims's profile →
Citations per field
00.5×2.6×
Sarah Sims · 1×
Citations per year

Countries citing papers authored by Shaun Morroll

Since Specialization
Citations

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

Fields of papers citing papers by Shaun Morroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 201414
2 201311
3 200936
4 200726
5 20079
6 200524
7 2003195
8 2001321
9 200140
10 20015
11 1999201
12 19981
13 19981

About Shaun Morroll

Shaun Morroll is a scholar working on Immunology, Immunology and Allergy, Parasitology, Small Animals and Plant Science, having authored 13 papers that have together received 884 indexed citations. Recurring topics across this work include Studies on Chitinases and Chitosanases (3 papers), Plant and animal studies (2 papers), Plant Molecular Biology Research (2 papers), Invertebrate Immune Response Mechanisms (2 papers), Plant Reproductive Biology (2 papers), Glycosylation and Glycoproteins Research (1 paper), Nematode management and characterization studies (1 paper) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Plant Science (516 citations), Microbiology (86 citations), Immunology (224 citations), Animal Science and Zoology (69 citations) and Molecular Biology (448 citations). Shaun Morroll has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Patrick J. Tighe, Zoe A. Wilson, J.M. Dawson, Ranjan Swarup, Nat Bumstead, Roger P. Wise, Fusheng Wei, Paul Barrow, Paul Schulze‐Lefert and Adrian L. Smith. Their work appears in journals such as Genome, Immunogenetics, Inflammation Research, Infection Genetics and Evolution and The Plant Journal.

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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