Neil R. Hackett
Impact in
- Genetics top 0.5%
- Virus-based gene therapy research
- Mesenchymal stem cell research
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Genetics 65
- Virus-based gene therapy research 52
-
- Angiogenesis and VEGF in Cancer 17
- RNA Interference and Gene Delivery 13
- Viral Infectious Diseases and Gene Expression in Insects 11
- Co-authors
- Ronald G. CrystalShahin RafiiBeate HeissigMalcolm A.S. MooreSérgio DiasDavid LydenBarbara FerrisKoichi Hattori
- Journals
- Human Gene Therapy (23 papers)Molecular Therapy (15 papers)Blood (7 papers)Journal of Clinical Investigation (7 papers)Journal of Virology (6 papers)
- Partner nations
- United StatesQatarCanada
In The Last Decade
Neil R. Hackett
155 papers receiving 12.8k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Genetics 1.4k
- Hematology 1.4k
- Cancer Research 1.8k
- Molecular Biology 7.9k
- Genetics 3.1k
Countries citing papers authored by Neil R. Hackett
This map shows the geographic impact of Neil R. Hackett'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 Neil R. Hackett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil R. Hackett more than expected).
Fields of papers citing papers by Neil R. Hackett
This network shows the impact of papers produced by Neil R. Hackett. 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 Neil R. Hackett. The network helps show where Neil R. Hackett may publish in the future.
Co-authors
The 25 scholars most cited alongside Neil R. Hackett, 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 | 2014 | 63 | |
| 3 | 2013 | 2 | |
| 4 | 2013 | 67 | |
| 5 | 2012 | 45 | |
| 6 | 2012 | 66 | |
| 7 | 2011 | 35 | |
| 8 | 2011 | 17 | |
| 9 | 2010 | 44 | |
| 10 | 2009 | 8 | |
| 11 | 2008 | 147 | |
| 12 | 2007 | 39 | |
| 13 | 2005 | 74 | |
| 14 | 2005 | 200 | |
| 15 | Initial evaluation of a vector coexpressing herpesviral thymidine kinase reporter gene (HSV1-tk) and VEGF for noninvasive imaging of transgene expression | 2003 | 1 |
| 16 | 1999 | 18 | |
| 17 | 1999 | 179 | |
| 18 | 1986 | 11 | |
| 19 | 1982 | 24 | |
| 20 | 1982 | 2 |
About Neil R. Hackett
Neil R. Hackett is a scholar working on Genetics, Molecular Biology, Physiology, Physiology and Virology, having authored 159 papers that have together received 13.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (52 papers), Lysosomal Storage Disorders Research (17 papers), Angiogenesis and VEGF in Cancer (17 papers), Neonatal Respiratory Health Research (15 papers), RNA Interference and Gene Delivery (13 papers), CAR-T cell therapy research (12 papers), Viral Infectious Diseases and Gene Expression in Insects (11 papers) and Viral gastroenteritis research and epidemiology (11 papers). The work is most often cited by research in Genetics (1.4k citations), Hematology (1.4k citations), Cancer Research (1.8k citations), Molecular Biology (7.9k citations) and Genetics (3.1k citations). Neil R. Hackett has collaborated with scholars based in United States, Qatar and Canada. Frequent co-authors include Ronald G. Crystal, Shahin Rafii, Beate Heissig, Malcolm A.S. Moore, Sérgio Dias, David Lyden, Barbara Ferris, Koichi Hattori, Larry Witte and Daniel J. Hicklin. Their work appears in journals such as Human Gene Therapy, Molecular Therapy, Blood, Journal of Clinical Investigation and Journal of Virology.
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.