Dea Nagy
Impact in
Papers in
- Genetics 9
- Virus-based gene therapy research 9
-
- Hemophilia Treatment and Research 4
- Blood groups and transfusion 1
- Co-authors
- Ronald J. Mandel (2 shared papers)Luigi Naldini (1 shared paper)Romain Zufferey (1 shared paper)Didier Trono (1 shared paper)Olivier Danos (2 shared papers)Lawrence K. Cohen (2 shared papers)Richard O. Snyder (2 shared papers)Joseph A. Vargas (5 shared papers)
- Journals
- Blood (4 papers)Cell Transplantation (2 papers)Pharmaceutical Research (1 paper)Nature Genetics (1 paper)Genomics (1 paper)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Dea Nagy
17 papers receiving 3.3k citations
Dea Nagy's Hit Papers
Peers
Comparison fields: 5 of 82
- Genetics 1.6k
- Virology 205
- Hematology 380
- Developmental Neuroscience 38
- Pulmonary and Respiratory Medicine 354
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
| # | Work | ||
|---|---|---|---|
| 1 | Multiply attenuated lentiviral vector achieves efficient gene delivery in vivo Hit paper breakdown → | 1997 | 1661 |
| 2 | 1997 | 519 | |
| 3 | 2006 | 293 | |
| 4 | 2010 | 282 | |
| 5 | 2006 | 181 | |
| 6 | 1997 | 96 | |
| 7 | 2003 | 89 | |
| 8 | 2000 | 76 | |
| 9 | 2010 | 65 | |
| 10 | 2003 | 59 | |
| 11 | 1997 | 46 | |
| 12 | 2001 | 29 | |
| 13 | 2013 | 18 | |
| 14 | 2000 | 14 | |
| 15 | 1997 | 10 | |
| 16 | 2001 | 3 | |
| 17 | 1999 | 2 | |
| 18 | 2015 | 1 |
About Dea Nagy
Dea Nagy is a scholar working on Genetics, Hematology, Neurology, Pulmonary and Respiratory Medicine and Biophysics, having authored 18 papers that have together received 3.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Hemophilia Treatment and Research (4 papers), Prostate Cancer Treatment and Research (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), RNA Interference and Gene Delivery (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper), Blood groups and transfusion (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Genetics (1.6k citations), Virology (205 citations), Hematology (380 citations), Developmental Neuroscience (38 citations) and Pulmonary and Respiratory Medicine (354 citations). Dea Nagy has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Ronald J. Mandel, Luigi Naldini, Romain Zufferey, Didier Trono, Olivier Danos, Lawrence K. Cohen, Richard O. Snyder, Joseph A. Vargas, Haiyan Jiang and Ciaran D. Scallan. Their work appears in journals such as Blood, Cell Transplantation, Pharmaceutical Research, Nature Genetics and Genomics.
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.