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)Sylvia Fong (4 shared papers)Becky Schweighardt (5 shared papers)Laurie Tsuruda (2 shared papers)Charles O’Neill (5 shared papers)Mark Milton (4 shared papers)Boris Gorovits (4 shared papers)
- Journals
- Molecular Therapy — Methods & Clinical Development (4 papers)The AAPS Journal (3 papers)Blood (2 papers)Gene Therapy (2 papers)Journal of Thrombosis and Haemostasis (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Brian Long
21 papers receiving 491 citations
Peers
Comparison fields: 5 of 50
- Genetics 316
- Oncology 186
- Hematology 63
- Molecular Biology 231
- 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 83 | |
| 2 | 2019 | 59 | |
| 3 | 2020 | 56 | |
| 4 | 2020 | 37 | |
| 5 | 2021 | 35 | |
| 6 | 2007 | 34 | |
| 7 | 2016 | 29 | |
| 8 | 2021 | 26 | |
| 9 | 2023 | 23 | |
| 10 | 2021 | 23 | |
| 11 | 2023 | 22 | |
| 12 | 2018 | 21 | |
| 13 | 2016 | 15 | |
| 14 | 2024 | 13 | |
| 15 | 2024 | 9 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2017 | 2 | |
| 20 | 2017 | 1 |
About Brian Long
Brian Long is a scholar working on Genetics, Oncology, Molecular Biology, Hematology and Physiology, having authored 21 papers that have together received 505 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), Viral Infections and Immunology Research (2 papers) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Genetics (316 citations), Oncology (186 citations), Hematology (63 citations), Molecular Biology (231 citations) and Immunology (65 citations). Brian Long has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Christian Vettermann, Stephen J. Zoog, Sylvia Fong, Becky Schweighardt, Laurie Tsuruda, Charles O’Neill, Mark Milton, Boris Gorovits, Gregory M. Hayes and Bridget Yates. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, The AAPS Journal, Blood, Gene Therapy and Journal of Thrombosis and Haemostasis.
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.