Brian D. Lichty
Impact in
- Genetics top 0.2%
- Virus-based gene therapy research
- Immunology top 1%
- Immunotherapy and Immune Responses
Papers in
- Genetics 66
- Virus-based gene therapy research 65
- Immunology 46
- Immunotherapy and Immune Responses 27
- Immune Cell Function and Interaction 14
- Co-authors
- John C. BellDavid F. StojdlHarold AtkinsZhou XingCaroline J. BreitbachShane KnowlesRicardo MariusKyle B. Stephenson
- Journals
- Molecular Therapy (19 papers)The Journal of Immunology (5 papers)Journal of Virology (5 papers)OncoImmunology (4 papers)Journal for ImmunoTherapy of Cancer (4 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Brian D. Lichty
97 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Genetics 4.1k
- Immunology 2.4k
- Oncology 2.9k
- Animal Science and Zoology 1.0k
- Infectious Diseases 1.7k
Countries citing papers authored by Brian D. Lichty
This map shows the geographic impact of Brian D. Lichty'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 Brian D. Lichty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian D. Lichty more than expected).
Fields of papers citing papers by Brian D. Lichty
This network shows the impact of papers produced by Brian D. Lichty. 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 Brian D. Lichty. The network helps show where Brian D. Lichty may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian D. Lichty, 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 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2021 | 51 | |
| 4 | 2021 | 30 | |
| 5 | 2019 | 45 | |
| 6 | 2019 | 28 | |
| 7 | 2018 | 233 | |
| 8 | 2017 | 32 | |
| 9 | 2017 | 10 | |
| 10 | 2016 | 61 | |
| 11 | Going viral with cancer immunotherapy Hit paper breakdown → | 2014 | 481 |
| 12 | 2013 | 59 | |
| 13 | 2012 | 57 | |
| 14 | 2010 | 13 | |
| 15 | 2008 | 98 | |
| 16 | 2008 | 5 | |
| 17 | 2006 | 88 | |
| 18 | 2003 | 89 | |
| 19 | VSV strains with defects in their ability to shutdown innate immunity are potent systemic anti-cancer agents Hit paper breakdown → | 2003 | 674 |
| 20 | Engraftment of human chronic lymphocytic leukemia cells in SCID mice: in vivo and in vitro studies. | 1996 | 22 |
About Brian D. Lichty
Brian D. Lichty is a scholar working on Genetics, Immunology, Oncology, Animal Science and Zoology and Biotechnology, having authored 100 papers that have together received 7.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (65 papers), CAR-T cell therapy research (28 papers), Immunotherapy and Immune Responses (27 papers), Viral Infectious Diseases and Gene Expression in Insects (18 papers), Immune Cell Function and Interaction (14 papers), Animal Virus Infections Studies (12 papers), Virology and Viral Diseases (8 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Genetics (4.1k citations), Immunology (2.4k citations), Oncology (2.9k citations), Animal Science and Zoology (1.0k citations) and Infectious Diseases (1.7k citations). Brian D. Lichty has collaborated with scholars based in Canada, United States and China. Frequent co-authors include John C. Bell, David F. Stojdl, Harold Atkins, Zhou Xing, Caroline J. Breitbach, Shane Knowles, Ricardo Marius, Kyle B. Stephenson, Anthony Power and Sam Afkhami. Their work appears in journals such as Molecular Therapy, The Journal of Immunology, Journal of Virology, OncoImmunology and Journal for ImmunoTherapy of Cancer.
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.