Dina Aggad
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology top 10%
- interferon and immune responses
- Aquaculture disease management and microbiota
- Immune Response and Inflammation
Papers in
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- Nanoplatforms for cancer theranostics 10
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- Porphyrin and Phthalocyanine Chemistry 6
- Co-authors
- J. Alex Parker (3 shared papers)Pierre Drapeau (3 shared papers)Georges Lutfalla (2 shared papers)Martine Mazel (2 shared papers)Jean‐Pierre Levraud (2 shared papers)Philippe Herbomel (2 shared papers)Pierre Boudinot (2 shared papers)Alexandra Vaccaro (2 shared papers)
- Journals
- Journal of Materials Chemistry B (3 papers)Molecules (2 papers)The Journal of Immunology (2 papers)Chemical Communications (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Dina Aggad
24 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 93
- Aging 96
- Immunology 293
- Neurology 177
- Genetics 91
- Cell Biology 128
Countries citing papers authored by Dina Aggad
This map shows the geographic impact of Dina Aggad'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 Dina Aggad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dina Aggad more than expected).
Fields of papers citing papers by Dina Aggad
This network shows the impact of papers produced by Dina Aggad. 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 Dina Aggad. The network helps show where Dina Aggad may publish in the future.
Co-authors
The 25 scholars most cited alongside Dina Aggad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 210 | |
| 2 | 2013 | 109 | |
| 3 | 2012 | 93 | |
| 4 | 2010 | 92 | |
| 5 | 2017 | 81 | |
| 6 | 2016 | 47 | |
| 7 | 2017 | 40 | |
| 8 | 2017 | 40 | |
| 9 | 2017 | 38 | |
| 10 | 2016 | 36 | |
| 11 | 2014 | 34 | |
| 12 | 2017 | 32 | |
| 13 | 2016 | 30 | |
| 14 | 2019 | 28 | |
| 15 | 2018 | 19 | |
| 16 | 2017 | 19 | |
| 17 | 2018 | 17 | |
| 18 | 2023 | 14 | |
| 19 | 2019 | 10 | |
| 20 | 2023 | 10 |
About Dina Aggad
Dina Aggad is a scholar working on Biomedical Engineering, Materials Chemistry, Molecular Biology, Pulmonary and Respiratory Medicine and Biomaterials, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (10 papers), Nanoparticle-Based Drug Delivery (6 papers), Porphyrin and Phthalocyanine Chemistry (6 papers), Photodynamic Therapy Research Studies (6 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), RNA Interference and Gene Delivery (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Aging (96 citations), Immunology (293 citations), Neurology (177 citations), Genetics (91 citations) and Cell Biology (128 citations). Dina Aggad has collaborated with scholars based in France, United States and Canada. Frequent co-authors include J. Alex Parker, Pierre Drapeau, Georges Lutfalla, Martine Mazel, Jean‐Pierre Levraud, Philippe Herbomel, Pierre Boudinot, Alexandra Vaccaro, Arnaud Tauffenberger and Magali Gary‐Bobo. Their work appears in journals such as Journal of Materials Chemistry B, Molecules, The Journal of Immunology, Chemical Communications and Journal of Neuroscience.
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.