Brian Gloss
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Oncology top 2%
- CAR-T cell therapy research
Papers in
-
- RNA modifications and cancer 5
- RNA Research and Splicing 3
- Genetics 14
- Virus-based gene therapy research 6
- Co-authors
- Marcel E. Dinger (12 shared papers)Bethany Signal (4 shared papers)James L. Riley (1 shared paper)Jonathan D. Fish (1 shared paper)Dario Campana (1 shared paper)Michael C. Milone (1 shared paper)David T. Teachey (1 shared paper)Gwenn Danet-Desnoyers (1 shared paper)
- Journals
- International Journal of Molecular Sciences (3 papers)Cancer Letters (2 papers)Neuro-Oncology (2 papers)Clinical & Translational Immunology (2 papers)Neurology Neuroimmunology & Neuroinflammation (2 papers)
- Partner nations
- AustraliaUnited StatesSingapore
In The Last Decade
Brian Gloss
58 papers receiving 2.8k citations
Brian Gloss's Hit Papers
Peers
Comparison fields: 5 of 109
- Cancer Research 798
- Oncology 1.1k
- Immunology 439
- Molecular Biology 1.5k
- Genetics 487
Countries citing papers authored by Brian Gloss
This map shows the geographic impact of Brian Gloss'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 Gloss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Gloss more than expected).
Fields of papers citing papers by Brian Gloss
This network shows the impact of papers produced by Brian Gloss. 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 Gloss. The network helps show where Brian Gloss may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Gloss, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Chimeric Receptors Containing CD137 Signal Transduction Domains Mediate Enhanced Survival of T Cells and Increased Antileukemic Efficacy In Vivo Hit paper breakdown → | 2009 | 900 |
| 2 | 2014 | 422 | |
| 3 | 2015 | 170 | |
| 4 | 2021 | 151 | |
| 5 | 2015 | 134 | |
| 6 | 2011 | 86 | |
| 7 | 2016 | 76 | |
| 8 | 2012 | 72 | |
| 9 | 2018 | 68 | |
| 10 | 2014 | 60 | |
| 11 | 2010 | 50 | |
| 12 | 2011 | 44 | |
| 13 | 2017 | 42 | |
| 14 | 2017 | 40 | |
| 15 | 2009 | 37 | |
| 16 | 2015 | 36 | |
| 17 | 2014 | 34 | |
| 18 | 2022 | 34 | |
| 19 | 2021 | 33 | |
| 20 | 2023 | 25 |
About Brian Gloss
Brian Gloss is a scholar working on Molecular Biology, Genetics, Cancer Research, Epidemiology and Oncology, having authored 61 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Virus-based gene therapy research (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Immune Cell Function and Interaction (5 papers), CAR-T cell therapy research (5 papers), RNA modifications and cancer (5 papers), Hepatitis C virus research (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (798 citations), Oncology (1.1k citations), Immunology (439 citations), Molecular Biology (1.5k citations) and Genetics (487 citations). Brian Gloss has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Marcel E. Dinger, Bethany Signal, James L. Riley, Jonathan D. Fish, Dario Campana, Michael C. Milone, David T. Teachey, Gwenn Danet-Desnoyers, Carl H. June and Minu Samanta. Their work appears in journals such as International Journal of Molecular Sciences, Cancer Letters, Neuro-Oncology, Clinical & Translational Immunology and Neurology Neuroimmunology & Neuroinflammation.
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.