Dea Nagy
- Genetics top 0.5%
- Virus-based gene therapy research 9
- Virology top 2%
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 5
- CRISPR and Genetic Engineering 3
- Viral Infectious Diseases and Gene Expression in Insects 2
- Oncology top 5%
- CAR-T cell therapy research 4
- Infectious Diseases top 5%
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- Prostate Cancer Treatment and Research 4
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- Radiopharmaceutical Chemistry and Applications 2
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- Erythrocyte Function and Pathophysiology 2
- Co-authors
- Didier TronoRomain ZuffereyLuigi NaldiniOlivier DanosRichard O. SnyderL. CohenJoseph VargasAllen M. Gown
- Cited by
- GeneticsVirologyMolecular Biology
- Partner nations
- United StatesHungarySweden
In The Last Decade
Dea Nagy
22 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Genetics 1.9k
- Virology 247
- Molecular Biology 2.2k
- Oncology 637
- Infectious Diseases 346
Countries citing papers authored by Dea Nagy
This map shows the geographic impact of Dea Nagy'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 Dea Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dea Nagy more than expected).
Fields of papers citing papers by Dea Nagy
This network shows the impact of papers produced by Dea Nagy. 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 Dea Nagy. The network helps show where Dea Nagy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dea Nagy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2015 | 1 | |
| 3 | 2013 | 18 | |
| 4 | 2013 | 1 | |
| 5 | 2010 | 257 | |
| 6 | 2010 | 58 | |
| 7 | Effects of Serum Retinol-Binding Protein (sRBP) Deficiency on Development and Degeneration of the Human Retina | 2009 | 1 |
| 8 | 2006 | 276 | |
| 9 | 2006 | 169 | |
| 10 | 2003 | 55 | |
| 11 | 2001 | 24 | |
| 12 | 2001 | 3 | |
| 13 | 2000 | 15 | |
| 14 | Multiply attenuated lentiviral vector achieves efficient gene delivery in vivobreakdown → | 1997 | 1576 |
| 15 | Persistent and therapeutic concentrations of human factor IX in mice after hepatic gene transfer of recombinant AAV vectorsbreakdown → | 1997 | 504 |
| 16 | 1997 | 41 | |
| 17 | 1997 | 90 | |
| 18 | 1997 | 9 | |
| 19 | 1985 | 6 | |
| 20 | 1977 | 46 |
About Dea Nagy
Dea Nagy is a scholar working on Genetics, Developmental Neuroscience and Molecular Biology, having authored 22 papers that have together received 3.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), RNA Interference and Gene Delivery (5 papers), CAR-T cell therapy research (4 papers), Prostate Cancer Treatment and Research (4 papers), CRISPR and Genetic Engineering (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Genetics (1.9k citations), Virology (247 citations) and Molecular Biology (2.2k citations). Dea Nagy has collaborated with scholars based in United States, Hungary and Sweden. Frequent co-authors include Didier Trono, Romain Zufferey, Luigi Naldini, Olivier Danos, Richard O. Snyder, L. Cohen, Joseph Vargas, Allen M. Gown, G. Patijn and Brian Winther. Their work appears in journals such as Blood, Cell Transplantation, Experimental Neurology, Neoplasia and Nature Genetics.
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.