Daniel J. Hui
Impact in
Papers in
- Genetics 21
- Virus-based gene therapy research 21
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- RNA Interference and Gene Delivery 5
- RNA and protein synthesis mechanisms 3
- Viral Infectious Diseases and Gene Expression in Insects 3
- Co-authors
- Katherine A. High (23 shared papers)Ganes C. Sen (5 shared papers)Federico Mingozzi (15 shared papers)William C. Merrick (4 shared papers)Denise E. Sabatino (6 shared papers)Etiena Basner‐Tschakarjan (10 shared papers)Shangzhen Zhou (10 shared papers)Samuel L. Murphy (3 shared papers)
- Journals
- Blood (10 papers)Molecular Therapy (6 papers)Journal of Biological Chemistry (3 papers)Science Translational Medicine (2 papers)The EMBO Journal (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Daniel J. Hui
31 papers receiving 3.0k citations
Daniel J. Hui's Hit Papers
Peers
Comparison fields: 5 of 73
- Genetics 1.8k
- Oncology 774
- Molecular Biology 1.9k
- Immunology 557
- Hepatology 150
Countries citing papers authored by Daniel J. Hui
This map shows the geographic impact of Daniel J. Hui'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 Daniel J. Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Hui more than expected).
Fields of papers citing papers by Daniel J. Hui
This network shows the impact of papers produced by Daniel J. Hui. 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 Daniel J. Hui. The network helps show where Daniel J. Hui may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Hui, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CD8+ T-cell responses to adeno-associated virus capsid in humans Hit paper breakdown → | 2007 | 599 |
| 2 | 2013 | 279 | |
| 3 | 2009 | 236 | |
| 4 | 2008 | 214 | |
| 5 | 2007 | 213 | |
| 6 | 2003 | 197 | |
| 7 | 2000 | 179 | |
| 8 | 2009 | 163 | |
| 9 | 2006 | 148 | |
| 10 | 2003 | 135 | |
| 11 | 2010 | 115 | |
| 12 | 2009 | 92 | |
| 13 | 2008 | 85 | |
| 14 | 2005 | 78 | |
| 15 | 2004 | 69 | |
| 16 | 2015 | 68 | |
| 17 | 2010 | 55 | |
| 18 | 2011 | 43 | |
| 19 | 2013 | 39 | |
| 20 | 2013 | 20 |
About Daniel J. Hui
Daniel J. Hui is a scholar working on Genetics, Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 31 papers that have together received 3.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (21 papers), CAR-T cell therapy research (11 papers), Viral Infections and Immunology Research (6 papers), RNA Interference and Gene Delivery (5 papers), Herpesvirus Infections and Treatments (5 papers), RNA and protein synthesis mechanisms (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Genetics (1.8k citations), Oncology (774 citations), Molecular Biology (1.9k citations), Immunology (557 citations) and Hepatology (150 citations). Daniel J. Hui has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Katherine A. High, Ganes C. Sen, Federico Mingozzi, William C. Merrick, Denise E. Sabatino, Etiena Basner‐Tschakarjan, Shangzhen Zhou, Samuel L. Murphy, Glenn F. Pierce and Hildegund C.J. Ertl. Their work appears in journals such as Blood, Molecular Therapy, Journal of Biological Chemistry, Science Translational Medicine and The EMBO Journal.
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.