James E. Dixon

1.9k citations
47 papers · 1.5k · h-index 24

Impact in

Papers in

    • RNA Interference and Gene Delivery 16
    • Advanced biosensing and bioanalysis techniques 7
    • Pluripotent Stem Cells Research 5
    • Electrospun Nanofibers in Biomedical Applications 7
    • Silk-based biomaterials and applications 4

James E. Dixon

45 papers receiving 1.5k citations

Peers

James E. Dixon
Comparison fields: 5 of 110
  • Biomaterials 248
  • Pharmaceutical Science 89
  • Molecular Biology 871
  • Biomedical Engineering 378
  • Genetics 80
Replace Jun‐ichiro Jo with:
Jun‐ichiro Jo Japan
Rosanne M. Raftery Ireland
Jamal S. Lewis United States
Nicolas Tran‐Khanh Canada
David Chau United Kingdom
Brenton Cavanagh Ireland
James I. Andorko United States
Kentaro Hozumi Japan
Caroline M. Curtin Ireland
Jason S. Buhrman United States
James E. Dixon relative to Jun‐ichiro Jo Japan Jun‐ichiro Jo's profile →
Citations per field
00.5×2×2.9×
Jun‐ichiro Jo · 1×
Citations per year

Countries citing papers authored by James E. Dixon

Since Specialization
Citations

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

Fields of papers citing papers by James E. Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. Dixon. 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 James E. Dixon. The network helps show where James E. Dixon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018169
2 2013102
3 201695
4 200789
5 201480
6 201774
7 201468
8 201964
9 201155
10 201452
11 201848
12 201047
13 201138
14 201938
15 202034
16 201931
17 202029
18 201129
19 201928
20 201527

About James E. Dixon

James E. Dixon is a scholar working on Molecular Biology, Biomaterials, Genetics, Surgery and Biomedical Engineering, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (16 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), Virus-based gene therapy research (7 papers), 3D Printing in Biomedical Research (6 papers), Pluripotent Stem Cells Research (5 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Silk-based biomaterials and applications (4 papers). The work is most often cited by research in Biomaterials (248 citations), Pharmaceutical Science (89 citations), Molecular Biology (871 citations), Biomedical Engineering (378 citations) and Genetics (80 citations). James E. Dixon has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Kevin M. Shakesheff, Chris Denning, G E Morris, Hoda M. Eltaher, Fergal J. O’Brien, Virginie Sottile, Jung Soo Suk, Justin Hanes, Nam-Ho Kim and Gregg A. Duncan. Their work appears in journals such as Journal of Controlled Release, PLoS Biology, Acta Biomaterialia, Biofabrication and Scientific Reports.

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.

Explore authors with similar magnitude of impact