James A. Davies

2.5k total citations
61 papers, 1.8k citations indexed

About

James A. Davies is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, James A. Davies has authored 61 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 18 papers in Molecular Biology and 16 papers in Epidemiology. Recurrent topics in James A. Davies's work include Virus-based gene therapy research (19 papers), CAR-T cell therapy research (14 papers) and Viral Infectious Diseases and Gene Expression in Insects (8 papers). James A. Davies is often cited by papers focused on Virus-based gene therapy research (19 papers), CAR-T cell therapy research (14 papers) and Viral Infectious Diseases and Gene Expression in Insects (8 papers). James A. Davies collaborates with scholars based in United Kingdom, United States and Canada. James A. Davies's co-authors include Alan L. Parker, Richard J. Stanton, Gavin W. G. Wilkinson, Peter Tomašec, Hanni Uusi-Kerttula, Sepehr Seirafian, Andrew J. Davison, Alexander T. Baker, Sarah L. Hulin-Curtis and P.J. Rizkallah and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

James A. Davies

61 papers receiving 1.7k citations

Peers

James A. Davies
James A. Williams United States
Suraiya Rasheed United States
Charles B. Reimer United States
James A. Davies
Citations per year, relative to James A. Davies James A. Davies (= 1×) peers Mathias Faure

Countries citing papers authored by James A. Davies

Since Specialization
Citations

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

Fields of papers citing papers by James A. Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Davies. 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 James A. Davies. The network helps show where James A. Davies may publish in the future.

Co-authorship network of co-authors of James A. Davies

This figure shows the co-authorship network connecting the top 25 collaborators of James A. Davies. A scholar is included among the top collaborators of James A. Davies 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 James A. Davies. James A. Davies 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.
Bliss, Carly M., Sarah L. Hulin-Curtis, James A. Davies, et al.. (2024). A pseudotyped adenovirus serotype 5 vector with serotype 49 fiber knob is an effective vector for vaccine and gene therapy applications. Molecular Therapy — Methods & Clinical Development. 32(3). 101308–101308. 3 indexed citations
2.
Bates, Emily A., James A. Davies, Valérie S. Méniel, et al.. (2022). Development of a low-seroprevalence, αvβ6 integrin-selective virotherapy based on human adenovirus type 10. Molecular Therapy — Oncolytics. 25. 43–56. 6 indexed citations
3.
Davies, James A., Gareth Marlow, Hanni Uusi-Kerttula, et al.. (2021). Efficient Intravenous Tumor Targeting Using the αvβ6 Integrin-Selective Precision Virotherapy Ad5NULL-A20. Viruses. 13(5). 864–864. 10 indexed citations
4.
Scurr, Martin, Michelle Somerville, Yuan Chen, et al.. (2020). Cancer Antigen Discovery Is Enabled by RNA Sequencing of Highly Purified Malignant and Nonmalignant Cells. Clinical Cancer Research. 26(13). 3360–3370. 3 indexed citations
5.
Wang, Eddie C. Y., Virginie Prod’homme, James A. Davies, et al.. (2020). Downregulation of HLA-I by the molluscum contagiosum virus mc080 impacts NK-cell recognition and promotes CD8+ T-cell evasion. Journal of General Virology. 101(8). 863–872. 5 indexed citations
6.
Foster, Julie, et al.. (2019). Systemic delivery and SPECT/CT in vivo imaging of 125I-labelled oncolytic adenoviral mutants in models of pancreatic cancer. Scientific Reports. 9(1). 12840–12840. 10 indexed citations
7.
Baker, Alexander T., Alexander Greenshields‐Watson, Lynda Coughlan, et al.. (2019). Diversity within the adenovirus fiber knob hypervariable loops influences primary receptor interactions. Nature Communications. 10(1). 741–741. 47 indexed citations
8.
Lukey, Pauline T., Christopher Coello, Roger N. Gunn, et al.. (2019). Clinical quantification of the integrin αvβ6 by [18F]FB-A20FMDV2 positron emission tomography in healthy and fibrotic human lung (PETAL Study). European Journal of Nuclear Medicine and Molecular Imaging. 47(4). 967–979. 43 indexed citations
9.
Uusi-Kerttula, Hanni, James A. Davies, Jill Thompson, et al.. (2018). Ad5NULL-A20: A Tropism-Modified, αvβ6 Integrin-Selective Oncolytic Adenovirus for Epithelial Ovarian Cancer Therapies. Clinical Cancer Research. 24(17). 4215–4224. 38 indexed citations
10.
Fielding, Ceri A., Michael P. Weekes, Luís Nobre, et al.. (2017). Control of immune ligands by members of a cytomegalovirus gene expansion suppresses natural killer cell activation. eLife. 6. 56 indexed citations
11.
Uusi-Kerttula, Hanni, Mateusz Legut, James A. Davies, et al.. (2015). Incorporation of Peptides Targeting EGFR and FGFR1 into the Adenoviral Fiber Knob Domain and Their Evaluation as Targeted Cancer Therapies. Human Gene Therapy. 26(5). 320–329. 35 indexed citations
12.
Fielding, Ceri A., Rebecca Aicheler, Richard J. Stanton, et al.. (2014). Two Novel Human Cytomegalovirus NK Cell Evasion Functions Target MICA for Lysosomal Degradation. PLoS Pathogens. 10(5). e1004058–e1004058. 112 indexed citations
13.
Raby, Anne‐Catherine, James A. Davies, Chantal S. Colmont, et al.. (2011). TLR activation enhances C5a‐induced pro‐inflammatory responses by negatively modulating the second C5a receptor, C5L2. European Journal of Immunology. 41(9). 2741–2752. 58 indexed citations
14.
Stanton, Richard J., Katarina Baluchova, Derrick J. Dargan, et al.. (2010). Reconstruction of the complete human cytomegalovirus genome in a BAC reveals RL13 to be a potent inhibitor of replication. Journal of Clinical Investigation. 120(9). 3191–3208. 198 indexed citations
15.
Raby, Anne‐Catherine, Chantal S. Colmont, James A. Davies, et al.. (2009). Soluble TLR2 Reduces Inflammation without Compromising Bacterial Clearance by Disrupting TLR2 Triggering. The Journal of Immunology. 183(1). 506–517. 78 indexed citations
16.
Davies, James A., et al.. (2009). C1584: Effect on von Willebrand Factor Proteolysis and von Willebrand Factor Antigen Levels. Acta Haematologica. 121(2-3). 98–101. 7 indexed citations
17.
Chadwick, Barbara, et al.. (2009). Child protection: training and experiences of dental therapists. BDJ. 207(3). E6–E6. 19 indexed citations
18.
Davies, James A., et al.. (2008). von Willebrand factor: evidence for variable clearance in vivo according to Y/C1584 phenotype and ABO blood group. Journal of Thrombosis and Haemostasis. 6(1). 97–103. 34 indexed citations
19.
Davies, James A. & D. J. Bowen. (2007). An association between the L1565 variant of von Willebrand factor and susceptibility to proteolysis by ADAMTS13. Haematologica. 92(2). 240–243. 6 indexed citations
20.
Davies, James A., et al.. (1977). The relation of pyrexia and nasal inflammatory response to virus levels in nasal washings of ferrets infected with influenza viruses of differing virulence.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 58(4). 444–58. 68 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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