Brian D. Brown
Impact in
- Immunology top 0.5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Cancer Research top 0.5%
- MicroRNA in disease regulation
Papers in
-
- RNA Interference and Gene Delivery 18
- Immunology 36
- Immunotherapy and Immune Responses 19
- Immune Cell Function and Interaction 17
- T-cell and B-cell Immunology 11
- Co-authors
- Luigi Naldini (10 shared papers)Miriam Mérad (21 shared papers)Alessia Baccarini (19 shared papers)Lucia Sergi Sergi (6 shared papers)Anna Zingale (4 shared papers)Ravi Sachidanandam (7 shared papers)Joshua Brody (13 shared papers)Andrew Chow (3 shared papers)
- Journals
- Blood (8 papers)Immunity (5 papers)Molecular Therapy (5 papers)Nature Communications (4 papers)Cell (3 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Brian D. Brown
81 papers receiving 7.3k citations
Brian D. Brown's Hit Papers
Peers
Comparison fields: 5 of 133
- Immunology 2.7k
- Cancer Research 1.7k
- Molecular Biology 4.1k
- Oncology 1.6k
- Genetics 1.4k
Countries citing papers authored by Brian D. Brown
This map shows the geographic impact of Brian D. Brown'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. Brown 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. Brown more than expected).
Fields of papers citing papers by Brian D. Brown
This network shows the impact of papers produced by Brian D. Brown. 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. Brown. The network helps show where Brian D. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian D. Brown, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deciphering the transcriptional network of the dendritic cell lineage Hit paper breakdown → | 2012 | 580 |
| 2 | Cancer vaccines: the next immunotherapy frontier Hit paper breakdown → | 2022 | 553 |
| 3 | 2007 | 449 | |
| 4 | 2006 | 367 | |
| 5 | 2012 | 325 | |
| 6 | Systemic clinical tumor regressions and potentiation of PD1 blockade with in situ vaccination Hit paper breakdown → | 2019 | 321 |
| 7 | 2012 | 315 | |
| 8 | 2009 | 306 | |
| 9 | 2014 | 250 | |
| 10 | 2008 | 246 | |
| 11 | 2014 | 220 | |
| 12 | 2011 | 220 | |
| 13 | 2007 | 194 | |
| 14 | 2012 | 193 | |
| 15 | 2011 | 189 | |
| 16 | 2011 | 187 | |
| 17 | 2018 | 173 | |
| 18 | 2008 | 169 | |
| 19 | 2006 | 158 | |
| 20 | 2021 | 125 |
About Brian D. Brown
Brian D. Brown is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Cancer Research, having authored 82 papers that have together received 7.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (19 papers), RNA Interference and Gene Delivery (18 papers), CAR-T cell therapy research (18 papers), Immune Cell Function and Interaction (17 papers), Virus-based gene therapy research (16 papers), MicroRNA in disease regulation (16 papers), T-cell and B-cell Immunology (11 papers) and Cancer Immunotherapy and Biomarkers (9 papers). The work is most often cited by research in Immunology (2.7k citations), Cancer Research (1.7k citations), Molecular Biology (4.1k citations), Oncology (1.6k citations) and Genetics (1.4k citations). Brian D. Brown has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Luigi Naldini, Miriam Mérad, Alessia Baccarini, Lucia Sergi Sergi, Anna Zingale, Ravi Sachidanandam, Joshua Brody, Andrew Chow, Anitha D. Jayaprakash and Judit Svensson‐Arvelund. Their work appears in journals such as Blood, Immunity, Molecular Therapy, Nature Communications and Cell.
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.