Brian Philip

2.6k total citations · 2 hit papers
18 papers, 2.0k citations indexed

About

Brian Philip is a scholar working on Oncology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Brian Philip has authored 18 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 9 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in Brian Philip's work include CAR-T cell therapy research (14 papers), CRISPR and Genetic Engineering (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Brian Philip is often cited by papers focused on CAR-T cell therapy research (14 papers), CRISPR and Genetic Engineering (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Brian Philip collaborates with scholars based in United Kingdom, Italy and Germany. Brian Philip's co-authors include Martin Pulé, Karl S. Peggs, Teresa Marafioti, Simon Thomas, Gordon Weng-Kit Cheung, Virna Marin, David C. Linch, Koichi Ito, Stephen J. Ralph and Rafael Moreno‐Sánchez and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Brian Philip

17 papers receiving 1.9k citations

Hit Papers

Multiplex Genome-Edited T-cell Manufacturing Platform for... 2015 2026 2018 2022 2015 2015 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian Philip United Kingdom 11 1.3k 824 780 491 396 18 2.0k
Malini Mukherjee United States 17 1.0k 0.8× 523 0.6× 554 0.7× 395 0.8× 372 0.9× 41 1.6k
Kathleen C. Day United States 20 506 0.4× 464 0.6× 873 1.1× 75 0.2× 83 0.2× 37 1.9k
Brenda Aguilar United States 19 2.1k 1.5× 750 0.9× 728 0.9× 585 1.2× 1.0k 2.6× 40 2.7k
Rosalie M. Sterner United States 11 1.4k 1.1× 492 0.6× 676 0.9× 342 0.7× 805 2.0× 22 2.1k
Amer Najjar United States 18 1000 0.7× 377 0.5× 517 0.7× 276 0.6× 413 1.0× 29 1.6k
Jamie R. Wagner United States 11 1.5k 1.1× 570 0.7× 410 0.5× 476 1.0× 625 1.6× 28 1.8k
Sarwish Rafiq United States 15 2.2k 1.6× 767 0.9× 916 1.2× 537 1.1× 1.1k 2.9× 34 2.8k
Mark B. Leick United States 16 1.4k 1.1× 505 0.6× 526 0.7× 408 0.8× 518 1.3× 47 1.8k
Valentina Hoyos United States 19 2.1k 1.6× 667 0.8× 838 1.1× 782 1.6× 1.0k 2.6× 35 2.6k
Robert C. Sterner United States 6 1.3k 1.0× 451 0.5× 616 0.8× 310 0.6× 746 1.9× 12 1.9k

Countries citing papers authored by Brian Philip

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Brian Philip

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Philip. A scholar is included among the top collaborators of Brian Philip based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian Philip. Brian Philip is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
León, Theresa E., Cosetta Bertoli, Sunniyat Rahman, et al.. (2020). EZH2 -Deficient T-cell Acute Lymphoblastic Leukemia Is Sensitized to CHK1 Inhibition through Enhanced Replication Stress. Cancer Discovery. 10(7). 998–1017. 22 indexed citations
2.
Sakolish, Courtney, Brian Philip, & Gretchen J. Mahler. (2019). A human proximal tubule-on-a-chip to study renal disease and toxicity. Biomicrofluidics. 13(1). 14107–14107. 44 indexed citations
3.
Philip, Brian, Christopher G. Davis, Shimobi Onuoha, et al.. (2018). A Rapamycin-Activated Caspase 9-Based Suicide Gene. Molecular Therapy. 26(5). 1266–1276. 72 indexed citations
4.
Philip, Brian, et al.. (2018). Addition of the C‐terminus of CD6 to a chimeric antigen receptor enhances cytotoxicity and does not compromise expression. Immunology. 156(2). 130–135. 4 indexed citations
5.
Maciocia, Paul, Patrycja Wawrzyniecka, Brian Philip, et al.. (2017). Targeting the T cell receptor β-chain constant region for immunotherapy of T cell malignancies. Nature Medicine. 23(12). 1416–1423. 192 indexed citations
6.
Lee, Lydia, Benjamin Draper, Brian Philip, et al.. (2017). An APRIL-based chimeric antigen receptor for dual targeting of BCMA and TACI in multiple myeloma. Blood. 131(7). 746–758. 134 indexed citations
7.
Maciocia, Paul, Patrycja Wawrzyniecka, Brian Philip, et al.. (2017). TARGETING THE T‐CELL RECEPTOR Β‐CONSTANT DOMAIN FOR IMMUNOTHERAPY OF T‐CELL MALIGNANCIES. Hematological Oncology. 35(S2). 252–253. 2 indexed citations
8.
Mock, Ulrike, Lauren Nickolay, Brian Philip, et al.. (2016). Automated manufacturing of chimeric antigen receptor T cells for adoptive immunotherapy using CliniMACS Prodigy. Cytotherapy. 18(8). 1002–1011. 163 indexed citations
9.
Draper, Benjamin, Brian Philip, Simon Thomas, et al.. (2016). An APRIL Based Chimeric Antigen Receptor to Simultaneously Target BCMA and TACI in Multiple Myeloma (MM) Has Potent Activity in Vitro and in Vivo. Blood. 128(22). 379–379. 2 indexed citations
10.
Maciocia, Paul, Patrycja Wawrzyniecka, Brian Philip, et al.. (2016). Targeting T-Cell Receptor β-Constant Domain for Immunotherapy of T-Cell Malignancies. Blood. 128(22). 811–811.
11.
Poirot, Laurent, Brian Philip, Cécile Schiffer-Mannioui, et al.. (2015). Multiplex Genome-Edited T-cell Manufacturing Platform for “Off-the-Shelf” Adoptive T-cell Immunotherapies. Cancer Research. 75(18). 3853–3864. 468 indexed citations breakdown →
12.
Smith, Julianne, Laurent Poirot, Brian Philip, et al.. (2015). UCART19, an allogeneic “off-the-shelf” adoptive T-cell immunotherapy against CD19+ B-cell leukemias.. Journal of Clinical Oncology. 33(15_suppl). 3069–3069. 1 indexed citations
13.
Jathoul, Amit P., Jan Laufer, Olumide Ogunlade, et al.. (2015). Deep in vivo photoacoustic imaging of mammalian tissues using a tyrosinase-based genetic reporter. Nature Photonics. 9(4). 239–246. 348 indexed citations breakdown →
14.
Philip, Brian, Evangelia Kokalaki, Leila Mekkaoui, et al.. (2014). A highly compact epitope-based marker/suicide gene for easier and safer T-cell therapy. Blood. 124(8). 1277–1287. 303 indexed citations
15.
Gouble, Agnès, Brian Philip, Laurent Poirot, et al.. (2014). In Vivo Proof of Concept of Activity and Safety of UCART19, an Allogeneic “Off-the-Shelf” Adoptive T-Cell Immunotherapy Against CD19+ B-Cell Leukemias. Blood. 124(21). 4689–4689. 7 indexed citations
16.
Philip, Brian, Koichi Ito, Rafael Moreno‐Sánchez, & Stephen J. Ralph. (2013). HIF expression and the role of hypoxic microenvironments within primary tumours as protective sites driving cancer stem cell renewal and metastatic progression. Carcinogenesis. 34(8). 1699–1707. 133 indexed citations
17.
Marin, Virna, Elisabetta Cribioli, Brian Philip, et al.. (2012). Comparison of Different Suicide-Gene Strategies for the Safety Improvement of Genetically Manipulated T Cells. Human Gene Therapy Methods. 23(6). 376–386. 106 indexed citations
18.
Philip, Brian, Simon Thomas, Virna Marin, et al.. (2010). A Highly Compact Epitope-Based Marker-Suicide Gene for More Convenient and Safer T-Cell Adoptive Immunotherapy.. Blood. 116(21). 1473–1473. 1 indexed citations

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.

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