Brian Philip
Impact in
- Oncology top 2%
- CAR-T cell therapy research
- Biomedical Engineering top 5%
- Nanowire Synthesis and Applications
- Photoacoustic and Ultrasonic Imaging
- Nanoplatforms for cancer theranostics
Papers in
- Oncology 13
- CAR-T cell therapy research 13
-
- CRISPR and Genetic Engineering 4
- Viral Infectious Diseases and Gene Expression in Insects 4
- Co-authors
- Martin Pulé (13 shared papers)Karl S. Peggs (6 shared papers)Teresa Marafioti (5 shared papers)Simon Thomas (5 shared papers)Gordon Weng-Kit Cheung (3 shared papers)David C. Linch (6 shared papers)Virna Marin (3 shared papers)Stephen John Ralph (1 shared paper)
- Journals
- Blood (6 papers)Cancer Discovery (1 paper)Nature Medicine (1 paper)Cancer Research (1 paper)Molecular Therapy (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Brian Philip
19 papers receiving 2.2k citations
Brian Philip's Hit Papers
Peers
Comparison fields: 5 of 98
- Oncology 1.4k
- Biomedical Engineering 870
- Immunology 388
- Genetics 491
- Molecular Biology 795
Countries citing papers authored by Brian Philip
This map shows the geographic impact of Brian Philip'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 Philip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Philip more than expected).
Fields of papers citing papers by Brian Philip
This network shows the impact of papers produced by Brian Philip. 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 Philip. The network helps show where Brian Philip may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Philip, 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 | Multiplex Genome-Edited T-cell Manufacturing Platform for “Off-the-Shelf” Adoptive T-cell Immunotherapies Hit paper breakdown → | 2015 | 519 |
| 2 | Deep in vivo photoacoustic imaging of mammalian tissues using a tyrosinase-based genetic reporter Hit paper breakdown → | 2015 | 379 |
| 3 | 2014 | 346 | |
| 4 | 2017 | 224 | |
| 5 | 2016 | 189 | |
| 6 | 2017 | 148 | |
| 7 | 2013 | 140 | |
| 8 | 2012 | 110 | |
| 9 | 2018 | 76 | |
| 10 | 2019 | 52 | |
| 11 | 2020 | 39 | |
| 12 | 2022 | 32 | |
| 13 | 2021 | 31 | |
| 14 | 2020 | 27 | |
| 15 | 2014 | 9 | |
| 16 | 2018 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2016 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2010 | 0 |
About Brian Philip
Brian Philip is a scholar working on Oncology, Molecular Biology, Dermatology, Immunology and Hematology, having authored 21 papers that have together received 2.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), CRISPR and Genetic Engineering (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Virus-based gene therapy research (3 papers), Cutaneous lymphoproliferative disorders research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Nanowire Synthesis and Applications (2 papers). The work is most often cited by research in Oncology (1.4k citations), Biomedical Engineering (870 citations), Immunology (388 citations), Genetics (491 citations) and Molecular Biology (795 citations). Brian Philip has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Martin Pulé, Karl S. Peggs, Teresa Marafioti, Simon Thomas, Gordon Weng-Kit Cheung, David C. Linch, Virna Marin, Stephen John Ralph, Rafael Moreno‐Sánchez and Koichi Ito. Their work appears in journals such as Blood, Cancer Discovery, Nature Medicine, Cancer Research 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.