Brian Long
Impact in
- Genetics top 10%
- Virus-based gene therapy research
-
- CAR-T cell therapy research
Papers in
- Co-authors
- Christian Vettermann (11 shared papers)Stephen J. Zoog (8 shared papers)Becky Schweighardt (5 shared papers)Sylvia Fong (4 shared papers)Laurie Tsuruda (2 shared papers)Charles O’Neill (5 shared papers)Boris Gorovits (4 shared papers)Mark Milton (4 shared papers)
- Journals
- Molecular Therapy — Methods & Clinical Development (4 papers)The AAPS Journal (3 papers)Blood (2 papers)Gene Therapy (2 papers)Molecular Therapy (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Brian Long
21 papers receiving 447 citations
Peers
Comparison fields: 5 of 54
- Genetics 306
- Oncology 193
- Hematology 58
- Molecular Biology 223
- Immunology 65
Countries citing papers authored by Brian Long
This map shows the geographic impact of Brian Long'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 Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Long more than expected).
Fields of papers citing papers by Brian Long
This network shows the impact of papers produced by Brian Long. 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 Long. The network helps show where Brian Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Long, 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 | 2017 | 79 | |
| 2 | 2019 | 55 | |
| 3 | 2020 | 54 | |
| 4 | 2020 | 35 | |
| 5 | 2007 | 33 | |
| 6 | 2021 | 32 | |
| 7 | 2016 | 26 | |
| 8 | 2021 | 24 | |
| 9 | 2021 | 21 | |
| 10 | 2018 | 21 | |
| 11 | 2023 | 18 | |
| 12 | 2023 | 16 | |
| 13 | 2016 | 14 | |
| 14 | 2024 | 11 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2017 | 2 | |
| 20 | 2017 | 1 |
About Brian Long
Brian Long is a scholar working on Genetics, Oncology, Molecular Biology, Hematology and Epidemiology, having authored 22 papers that have together received 462 indexed citations. Recurring topics across this work include Virus-based gene therapy research (17 papers), CAR-T cell therapy research (15 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), CRISPR and Genetic Engineering (5 papers), Hemophilia Treatment and Research (4 papers), Lysosomal Storage Disorders Research (3 papers), Child Nutrition and Feeding Issues (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Genetics (306 citations), Oncology (193 citations), Hematology (58 citations), Molecular Biology (223 citations) and Immunology (65 citations). Brian Long has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Christian Vettermann, Stephen J. Zoog, Becky Schweighardt, Sylvia Fong, Laurie Tsuruda, Charles O’Neill, Boris Gorovits, Mark Milton, Gregory M. Hayes and Jennifer Holcomb. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, The AAPS Journal, Blood, Gene Therapy and Molecular Therapy.
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.