Immunogenicity Optimization
Immunogenicity Optimization is a computational or experimental strategy, as a methodological framework, that systematically enhances the ability of vaccine antigens to elicit specific and robust immune responses by refining their molecular properties, structural features, or delivery contexts to maximize immunogenic potential while maintaining safety and specificity.
140
Publications
6.8K
Citations
915
Authors
297
Institutions
Publications per year
2017–2026
46
140
Universal influenza A vaccine: Optimization of M2-based constructs
Marina De Filette, Willy Min Jou, Ashley J. Birkett et al. · Virology · 2005 · 222 citations
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915
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297

University of Georgia
Athens, United States
10 h-index
28 publications
1.8K citations
National Institute of Allergy and Infectious Diseases
Bethesda, United States
6 h-index
23 publications
1.4K citations
National Institutes of Health
Bethesda, United States
6 h-index
19 publications
1.2K citations

Karolinska Institutet
Stockholm, Sweden
4 h-index
16 publications
378 citations

Icahn School of Medicine at Mount Sinai
New York, United States
3 h-index
5 publications
516 citations

The University of Queensland
Brisbane, Australia
3 h-index
14 publications
315 citations
University of Washington
Seattle, United States
3 h-index
11 publications
603 citations

Ghent University
Ghent, Belgium
3 h-index
17 publications
911 citations
1–8 of 297
30 publications · 1.4K citations
20
h-index
JVI · 8 publications · 780 citations
8
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5 publications · 187 citations
5
h-index
5 publications · 432 citations
5
h-index
PNAS · 3 publications · 323 citations
3
h-index
1–5