Phillip H. Gallimore

2.1k total citations
61 papers, 1.7k citations indexed

About

Phillip H. Gallimore is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Phillip H. Gallimore has authored 61 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Genetics, 37 papers in Molecular Biology and 25 papers in Oncology. Recurrent topics in Phillip H. Gallimore's work include Virus-based gene therapy research (46 papers), CAR-T cell therapy research (12 papers) and RNA Interference and Gene Delivery (12 papers). Phillip H. Gallimore is often cited by papers focused on Virus-based gene therapy research (46 papers), CAR-T cell therapy research (12 papers) and RNA Interference and Gene Delivery (12 papers). Phillip H. Gallimore collaborates with scholars based in United Kingdom, United States and Canada. Phillip H. Gallimore's co-authors include Roger J.A. Grand, Andrew S. Turnell, Sally Roberts, Lan Bo Chen, James K. McDougall, K Raska, S M Rookes, Jane C. Steele, Philip J. Byrd and John Doorbar and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Phillip H. Gallimore

61 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phillip H. Gallimore United Kingdom 26 1.1k 1.0k 579 303 264 61 1.7k
Richard Mulligan United States 13 2.2k 2.1× 1.3k 1.3× 751 1.3× 281 0.9× 791 3.0× 14 3.2k
Peter Yaciuk United States 21 1.7k 1.6× 852 0.8× 872 1.5× 236 0.8× 299 1.1× 31 2.4k
Patricia Mathias United States 8 1.6k 1.5× 1.9k 1.8× 809 1.4× 257 0.8× 293 1.1× 10 2.5k
Nanette Mittereder United States 10 905 0.9× 669 0.7× 323 0.6× 124 0.4× 437 1.7× 11 1.6k
Leah Lipsich United States 15 1.1k 1.1× 512 0.5× 391 0.7× 170 0.6× 195 0.7× 19 1.6k
Ada Houweling Netherlands 20 1.8k 1.7× 1.8k 1.7× 959 1.7× 197 0.7× 609 2.3× 28 2.8k
Harvey L. Ozer United States 25 1.2k 1.2× 624 0.6× 676 1.2× 120 0.4× 151 0.6× 54 2.0k
DT Curiel United States 26 1.5k 1.5× 1.4k 1.4× 713 1.2× 145 0.5× 282 1.1× 51 2.1k
Lihua Tao United States 21 541 0.5× 534 0.5× 627 1.1× 231 0.8× 281 1.1× 51 1.3k
Gustavo Droguett United States 10 2.1k 2.0× 2.5k 2.5× 1.1k 1.9× 449 1.5× 386 1.5× 11 3.6k

Countries citing papers authored by Phillip H. Gallimore

Since Specialization
Citations

This map shows the geographic impact of Phillip H. Gallimore'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 Phillip H. Gallimore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip H. Gallimore more than expected).

Fields of papers citing papers by Phillip H. Gallimore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip H. Gallimore. 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 Phillip H. Gallimore. The network helps show where Phillip H. Gallimore may publish in the future.

Co-authorship network of co-authors of Phillip H. Gallimore

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip H. Gallimore. A scholar is included among the top collaborators of Phillip H. Gallimore 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 Phillip H. Gallimore. Phillip H. Gallimore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Barral, Paola M., et al.. (2007). The effect of CtBP1 binding on the structure of the C-terminal region of adenovirus 12 early region 1A. Virology. 363(2). 342–356. 6 indexed citations
2.
3.
Rasti, Mozhgan, Roger J.A. Grand, Ahmed F. Yousef, et al.. (2006). Roles for APIS and the 20S proteasome in adenovirus E1A‐dependent transcription. The EMBO Journal. 25(12). 2710–2722. 37 indexed citations
4.
Barral, Paola M., Andrew S. Turnell, Phillip H. Gallimore, et al.. (2005). The interaction of the hnRNP family member E1B‐AP5 with p53. FEBS Letters. 579(13). 2752–2758. 19 indexed citations
5.
Rasti, Mozhgan, Roger J.A. Grand, Joe S. Mymryk, Phillip H. Gallimore, & Andrew S. Turnell. (2005). Recruitment of CBP/p300, TATA-Binding Protein, and S8 to Distinct Regions at the N Terminus of Adenovirus E1A. Journal of Virology. 79(9). 5594–5605. 37 indexed citations
6.
Roberts, Sally, et al.. (2004). Human papillomavirus (HPV) type 16‐specific CD8+ T cell responses in women with high grade vulvar intraepithelial neoplasia. International Journal of Cancer. 108(6). 857–862. 14 indexed citations
7.
Zhang, Xian, Andrew S. Turnell, Carlos Gorbea, et al.. (2004). The Targeting of the Proteasomal Regulatory Subunit S2 by Adenovirus E1A Causes Inhibition of Proteasomal Activity and Increased p53 Expression. Journal of Biological Chemistry. 279(24). 25122–25133. 29 indexed citations
8.
Barral, Paola M., et al.. (2000). Structural Determinants in Adenovirus 12 E1A Involved in the Interaction with C-Terminal Binding Protein 1. Virology. 277(1). 156–166. 6 indexed citations
9.
10.
Grand, Roger J.A., Julian Parkhill, Tadge Szestak, et al.. (1999). Definition of a major p53 binding site on Ad2E1B58K protein and a possible nuclear localization signal on the Ad12E1B54K protein. Oncogene. 18(4). 955–965. 29 indexed citations
11.
Ashmole, Ian, Phillip H. Gallimore, & Sally Roberts. (1998). Identification of Conserved Hydrophobic C-Terminal Residues of the Human Papillomavirus Type 1 E1∧E4 Protein Necessary for E4 Oligomerisationin Vivo. Virology. 240(2). 221–231. 11 indexed citations
12.
Grand, Roger J.A., et al.. (1998). Regeneration of the Binding Properties of Adenovirus 12 Early Region 1A Proteins after Preparation under Denaturing Conditions. Virology. 244(1). 230–242. 12 indexed citations
13.
Gallimore, Phillip H., et al.. (1997). The expression of MDM2 and other p53-regulated proteins in the tissues of the developing rat. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1350(3). 306–316. 8 indexed citations
14.
Grand, Roger J.A., Darerca Owen, S M Rookes, & Phillip H. Gallimore. (1996). Control of p53 Expression by Adenovirus 12 Early Region 1A and Early Region 1B 54K Proteins. Virology. 218(1). 23–34. 31 indexed citations
15.
Grand, Roger J.A., Philip Lecane, Darerca Owen, et al.. (1995). The High Levels of p53 Present in Adenovirus Early Region 1-Transformed Human Cells do Not Cause Up-Regulation of MDM2 Expression. Virology. 210(2). 323–334. 23 indexed citations
16.
Grand, Roger J.A., et al.. (1994). Enhanced Expression of p53 in Human Cella Infected with Mutant Adenoviruses. Virology. 203(2). 229–240. 83 indexed citations
17.
Grand, Roger J.A., et al.. (1989). Phosphorylation of the human papillomavirus type 1 E4 proteins in Vivo and in Vitro. Virology. 170(1). 201–213. 24 indexed citations
18.
Grabham, Peter, Roger J.A. Grand, & Phillip H. Gallimore. (1989). Purification of a serum factor which reverses dibutyrl cAMP induced differentiation. Cellular Signalling. 1(3). 269–281. 7 indexed citations
19.
Byrd, Philip J., Roger J.A. Grand, David E. Breiding, Jim Williams, & Phillip H. Gallimore. (1988). Host range mutants of adenovirus type 12 E1 defective for lytic infection, transformation, and oncogenicity. Virology. 163(1). 155–165. 27 indexed citations
20.
Grand, Roger J.A., et al.. (1985). Acylation of adenovirus type 12 early region Ib 18‐kDa protein. FEBS Letters. 181(2). 229–235. 17 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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