Neil Brewis
Impact in
- Aging top 10%
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
-
- RNA Interference and Gene Delivery 3
- Oncology 11
- Cancer Immunotherapy and Biomarkers 8
- CAR-T cell therapy research 5
- Co-authors
- Patricia T.W. Cohen (2 shared papers)Alasdair J. Street (2 shared papers)Patricia T.W. Cohen (4 shared papers)Valerie Hughes (1 shared paper)David J. Mann (1 shared paper)Paul Cohen (1 shared paper)Alan R. Prescott (1 shared paper)Gernot Walter (3 shared papers)
- Journals
- Cancer Research (5 papers)Clinical Cancer Research (2 papers)Cancer Immunology Research (2 papers)FEBS Letters (2 papers)Molecular Therapy (2 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Neil Brewis
30 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 81
- Aging 31
- Cell Biology 253
- Molecular Biology 1.0k
- Immunology 236
- Oncology 266
Countries citing papers authored by Neil Brewis
This map shows the geographic impact of Neil Brewis'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 Neil Brewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Brewis more than expected).
Fields of papers citing papers by Neil Brewis
This network shows the impact of papers produced by Neil Brewis. 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 Neil Brewis. The network helps show where Neil Brewis may publish in the future.
Co-authors
The 25 scholars most cited alongside Neil Brewis, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 204 | |
| 2 | 1993 | 187 | |
| 3 | 1997 | 152 | |
| 4 | 2008 | 151 | |
| 5 | 1998 | 95 | |
| 6 | 2006 | 91 | |
| 7 | 1990 | 84 | |
| 8 | 2020 | 84 | |
| 9 | 1990 | 64 | |
| 10 | 2000 | 61 | |
| 11 | 1994 | 54 | |
| 12 | 2020 | 45 | |
| 13 | 2020 | 45 | |
| 14 | 1997 | 42 | |
| 15 | 1992 | 38 | |
| 16 | 2000 | 37 | |
| 17 | 2003 | 20 | |
| 18 | 2003 | 15 | |
| 19 | 2018 | 13 | |
| 20 | 2023 | 4 |
About Neil Brewis
Neil Brewis is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Cell Biology, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (5 papers), Virus-based gene therapy research (4 papers), Microtubule and mitosis dynamics (3 papers), RNA Interference and Gene Delivery (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Aging (31 citations), Cell Biology (253 citations), Molecular Biology (1.0k citations), Immunology (236 citations) and Oncology (266 citations). Neil Brewis has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Patricia T.W. Cohen, Alasdair J. Street, Patricia T.W. Cohen, Valerie Hughes, David J. Mann, Paul Cohen, Alan R. Prescott, Gernot Walter, Elisabeth Kremmer and Ian M. Tomlinson. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Cancer Immunology Research, FEBS Letters 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.