Fiona MacLaughlin

899 citations
7 papers · 696 · h-index 6

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 4
    • RNA Interference and Gene Delivery 4
    • Signaling Pathways in Disease 1
    • Virus-based gene therapy research 4

Fiona MacLaughlin

7 papers receiving 662 citations

Peers

Fiona MacLaughlin
Comparison fields: 5 of 71
  • Pharmaceutical Science 89
  • Biomaterials 122
  • Genetics 205
  • Molecular Biology 486
  • Biotechnology 59
Replace Dhananjay Jere with:
Dhananjay Jere South Korea
Hagit Eliyahu Israel
Mohammad Ariful Islam South Korea
Maria Pelliccia Italy
Christine C. Conwell United States
Yukinobu Kodama Japan
T. Akaike Japan
D. Ibraheem France
Soma Patnaik India
Shuquan Zheng China
Fiona MacLaughlin relative to Dhananjay Jere South Korea Dhananjay Jere's profile →
Citations per field
00.5×1.5×1.8×
Dhananjay Jere · 1×
Citations per year

Countries citing papers authored by Fiona MacLaughlin

Since Specialization
Citations

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

Fields of papers citing papers by Fiona MacLaughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Fiona MacLaughlin, 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 Fiona MacLaughlin Line = papers co-authored together Fiona MacLaughlin links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1998462
2 200177
3 200166
4 200241
5 200327
6 199918
7 20035

About Fiona MacLaughlin

Fiona MacLaughlin is a scholar working on Molecular Biology, Genetics, Biotechnology, Pharmaceutical Science and Mechanics of Materials, having authored 7 papers that have together received 696 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (4 papers), Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (4 papers), Microbial Inactivation Methods (2 papers), Signaling Pathways in Disease (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Advanced Drug Delivery Systems (1 paper) and Polymer Surface Interaction Studies (1 paper). The work is most often cited by research in Pharmaceutical Science (89 citations), Biomaterials (122 citations), Genetics (205 citations), Molecular Biology (486 citations) and Biotechnology (59 citations). Fiona MacLaughlin has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Russell J. Mumper, Alain Rolland, Jijun Wang, François Nicol, Jason G. Fewell, Elizabeth Wilson, Lawrence C. Smith, Vidya Mehta, Louis C. Smith and Margaret Gondo. Their work appears in journals such as Gene Therapy, Catheterization and Cardiovascular Interventions, Molecular Therapy, Journal of Controlled Release and Humana Press eBooks.

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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