Brian B. Haines
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer 8
- RNA Interference and Gene Delivery 4
- Protein Degradation and Inhibitors 4
- Histone Deacetylase Inhibitors Research 4
- Cancer Research top 10%
- Oncology top 10%
- Peptidase Inhibition and Analysis 6
- CAR-T cell therapy research 5
- Immunology top 10%
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 6
- Co-authors
- Jianzhu ChenMichael T. McManusPhillip A. SharpChristian P. PetersenMélissa ChénardCharles E. WhitehurstChristopher P. DillonAstrid M. Kral
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Journal of Immunology (2 papers)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Brian B. Haines
39 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 948
- Cancer Research 188
- Computational Theory and Mathematics 196
- Oncology 322
- Immunology 217
Countries citing papers authored by Brian B. Haines
This map shows the geographic impact of Brian B. Haines'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 B. Haines with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian B. Haines more than expected).
Fields of papers citing papers by Brian B. Haines
This network shows the impact of papers produced by Brian B. Haines. 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 B. Haines. The network helps show where Brian B. Haines may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian B. Haines, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2020 | 54 | |
| 4 | 2020 | 20 | |
| 5 | 2018 | 3 | |
| 6 | 2016 | 16 | |
| 7 | 2016 | 227 | |
| 8 | 2016 | 9 | |
| 9 | 2014 | 48 | |
| 10 | 2012 | 1 | |
| 11 | 2012 | 45 | |
| 12 | 2010 | 107 | |
| 13 | 2009 | 17 | |
| 14 | 2009 | 36 | |
| 15 | 2008 | 36 | |
| 16 | 2006 | 8 | |
| 17 | 2002 | 184 | |
| 18 | 2002 | 248 | |
| 19 | 2001 | 27 | |
| 20 | 1999 | 10 |
About Brian B. Haines
Brian B. Haines is a scholar working on Oncology, Immunology and Cancer Research, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (8 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (6 papers), Peptidase Inhibition and Analysis (6 papers), CAR-T cell therapy research (5 papers), RNA Interference and Gene Delivery (4 papers), Protein Degradation and Inhibitors (4 papers) and Histone Deacetylase Inhibitors Research (4 papers). The work is most often cited by research in Molecular Biology (948 citations), Cancer Research (188 citations) and Computational Theory and Mathematics (196 citations). Brian B. Haines has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Jianzhu Chen, Michael T. McManus, Phillip A. Sharp, Christian P. Petersen, Mélissa Chénard, Charles E. Whitehurst, Christopher P. Dillon, Astrid M. Kral, Luk Van Parijs and Theresa Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Molecular and Cellular Biology.
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.