Dea Nagy
Impact in
Papers in
-
- RNA Interference and Gene Delivery 5
- CRISPR and Genetic Engineering 3
- Genetics 9
- Virus-based gene therapy research 9
- Co-authors
- Luigi Naldini (1 shared paper)Didier Trono (1 shared paper)Romain Zufferey (1 shared paper)Olivier Danos (2 shared papers)L. Cohen (2 shared papers)Richard O. Snyder (2 shared papers)Joseph Vargas (5 shared papers)Arthur R. Thompson (1 shared paper)
- Journals
- Blood (4 papers)Cell Transplantation (2 papers)Experimental Neurology (1 paper)Neoplasia (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesHungarySweden
In The Last Decade
Dea Nagy
22 papers receiving 3.2k citations
Dea Nagy's 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-authors
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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multiply attenuated lentiviral vector achieves efficient gene delivery in vivo Hit paper breakdown → | 1997 | 1576 |
| 2 | Persistent and therapeutic concentrations of human factor IX in mice after hepatic gene transfer of recombinant AAV vectors Hit paper breakdown → | 1997 | 504 |
| 3 | 2006 | 276 | |
| 4 | 2010 | 257 | |
| 5 | 2006 | 169 | |
| 6 | 1997 | 90 | |
| 7 | 2003 | 82 | |
| 8 | 2000 | 71 | |
| 9 | 2010 | 58 | |
| 10 | 2003 | 55 | |
| 11 | 1977 | 46 | |
| 12 | 1997 | 41 | |
| 13 | 2001 | 24 | |
| 14 | 2013 | 18 | |
| 15 | 2000 | 15 | |
| 16 | 1997 | 9 | |
| 17 | 1985 | 6 | |
| 18 | 2001 | 3 | |
| 19 | 2025 | 1 | |
| 20 | Effects of Serum Retinol-Binding Protein (sRBP) Deficiency on Development and Degeneration of the Human Retina | 2009 | 1 |
About Dea Nagy
Dea Nagy is a scholar working on Molecular Biology, Genetics, Oncology, Pulmonary and Respiratory Medicine and Neurology, 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), Neurological disorders and treatments (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Genetics (1.9k citations), Virology (247 citations), Molecular Biology (2.2k citations), Oncology (637 citations) and Infectious Diseases (346 citations). Dea Nagy has collaborated with scholars based in United States, Hungary and Sweden. Frequent co-authors include Luigi Naldini, Didier Trono, Romain Zufferey, Olivier Danos, L. Cohen, Richard O. Snyder, Joseph Vargas, Arthur R. Thompson, Susannah Patarroyo‐White and Leonard Meuse. 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.