Garry Laverty

2.4k citations
44 papers · 1.9k · h-index 24

Impact in

  • Microbiology top 0.5%
    • Antimicrobial Peptides and Activities
    • Supramolecular Self-Assembly in Materials

Papers in

    • Bacterial biofilms and quorum sensing 8
    • RNA Interference and Gene Delivery 7
    • Chemical Synthesis and Analysis 5
    • Antimicrobial Peptides and Activities 18

Garry Laverty

43 papers receiving 1.9k citations

Peers

Garry Laverty
Comparison fields: 5 of 132
  • Microbiology 608
  • Biomaterials 493
  • Molecular Medicine 125
  • Pharmaceutical Science 108
  • Organic Chemistry 447
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Citations per field
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Citations per year

Countries citing papers authored by Garry Laverty

Since Specialization
Citations

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

Fields of papers citing papers by Garry Laverty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012170
2 2010138
3 2011137
4 2014127
5 2010112
6 2014109
7 201879
8 201379
9 201664
10 201761
11 201660
12 202155
13 201455
14 201253
15 201451
16 202447
17 201643
18 202141
19 201738
20 201530

About Garry Laverty

Garry Laverty is a scholar working on Molecular Biology, Microbiology, Organic Chemistry, Biomaterials and Molecular Medicine, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (18 papers), Supramolecular Self-Assembly in Materials (15 papers), Polydiacetylene-based materials and applications (8 papers), Bacterial biofilms and quorum sensing (8 papers), Antimicrobial agents and applications (7 papers), RNA Interference and Gene Delivery (7 papers), Chemical Synthesis and Analysis (5 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Microbiology (608 citations), Biomaterials (493 citations), Molecular Medicine (125 citations), Pharmaceutical Science (108 citations) and Organic Chemistry (447 citations). Garry Laverty has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Brendan Gilmore, Sean P. Gorman, Alice McCloskey, Sophie Coulter, Sreekanth Pentlavalli, Martin McLaughlin, W. G. Graham, Mahmoud Y. Alkawareek, David S. Jones and Qais Th. Algwari. Their work appears in journals such as Pathogens, RSC Advances, Journal of Peptide Science, Future Microbiology and American Journal of Pharmaceutical Education.

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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