Andrew Foey

4.8k total citations · 3 hit papers
47 papers, 3.7k citations indexed

About

Andrew Foey is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Andrew Foey has authored 47 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Immunology, 11 papers in Molecular Biology and 11 papers in Oncology. Recurrent topics in Andrew Foey's work include Immune Response and Inflammation (13 papers), Aquaculture disease management and microbiota (10 papers) and Immune cells in cancer (9 papers). Andrew Foey is often cited by papers focused on Immune Response and Inflammation (13 papers), Aquaculture disease management and microbiota (10 papers) and Immune cells in cancer (9 papers). Andrew Foey collaborates with scholars based in United Kingdom, France and Denmark. Andrew Foey's co-authors include Daniel L. Merrifield, Simon J. Davies, Fionula M. Brennan, Marc Feldmann, Einar Ringø, Arkadios Dimitroglou, Mathieu Castex, Brian M. J. Foxwell, Jane Beal and Lynn Williams and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Andrew Foey

46 papers receiving 3.6k citations

Hit Papers

The current status and future focus of probiotic and preb... 2010 2026 2015 2020 2010 2015 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Foey United Kingdom 24 2.3k 1.4k 1.0k 434 305 47 3.7k
Jyh‐Yih Chen Taiwan 41 2.3k 1.0× 622 0.4× 2.0k 2.0× 168 0.4× 157 0.5× 142 4.6k
Tomoya Kono Japan 35 2.6k 1.2× 656 0.5× 827 0.8× 69 0.2× 252 0.8× 157 3.5k
Daniel R. Barreda Canada 34 2.2k 1.0× 536 0.4× 798 0.8× 67 0.2× 208 0.7× 91 4.2k
Jarl Bøgwald Norway 33 3.7k 1.6× 2.3k 1.6× 681 0.7× 138 0.3× 38 0.1× 92 4.7k
Charles McL. Press Norway 30 1.9k 0.8× 820 0.6× 828 0.8× 78 0.2× 42 0.1× 105 3.1k
Qin Liu China 39 2.8k 1.2× 258 0.2× 3.3k 3.2× 182 0.4× 129 0.4× 187 5.8k
Hugo Folch Chile 20 1.3k 0.6× 424 0.3× 406 0.4× 97 0.2× 83 0.3× 75 2.3k
Teruaki Nakatsuji United States 38 1.2k 0.5× 202 0.1× 1.5k 1.4× 371 0.9× 127 0.4× 80 6.0k
Erika Mittge United States 8 1.2k 0.5× 442 0.3× 1.1k 1.1× 101 0.2× 39 0.1× 8 2.3k

Countries citing papers authored by Andrew Foey

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Foey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Foey. 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 Andrew Foey. The network helps show where Andrew Foey may publish in the future.

Co-authorship network of co-authors of Andrew Foey

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Foey. A scholar is included among the top collaborators of Andrew Foey 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 Andrew Foey. Andrew Foey 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.
Salih, Vehid, et al.. (2023). ErbB- and MUC1-targeted CAR-T cell immunotherapy of oral squamous cell carcinoma. SHILAP Revista de lepidopterología. 4. 1116402–1116402. 5 indexed citations
3.
Zarić, Svetislav, Yuko Kurushima, Zoë Harrington, et al.. (2022). Evaluating clinical utility of subgingival and salivary endotoxin activity levels as periodontal biomarkers. SHILAP Revista de lepidopterología. 3. 1029806–1029806. 6 indexed citations
4.
Hayward, C., et al.. (2019). Macrophage subsets exhibit distinct E. coli-LPS tolerisable cytokines associated with the negative regulators, IRAK-M and Tollip. PLoS ONE. 14(5). e0214681–e0214681. 12 indexed citations
5.
Foey, Andrew, et al.. (2017). Probiotic Modulation of Innate Cell Pathogen Sensing and Signaling Events. Nutrients. 9(10). 1156–1156. 139 indexed citations
6.
Moody, A. John, et al.. (2016). Intracellular NAD+ levels are associated with LPS-induced TNF-α release in pro-inflammatory macrophages. Bioscience Reports. 36(1). e00301–e00301. 33 indexed citations
7.
Foey, Andrew, et al.. (2016). Porphyromonas gingivalis-stimulated macrophage subsets exhibit differential induction and responsiveness to interleukin-10. Archives of Oral Biology. 73. 282–288. 12 indexed citations
8.
Standen, Benedict, David Peggs, Mark Rawling, et al.. (2015). Dietary administration of a commercial mixed-species probiotic improves growth performance and modulates the intestinal immunity of tilapia, Oreochromis niloticus. Fish & Shellfish Immunology. 49. 427–435. 175 indexed citations
10.
Hardy, H.Nelson, Jennifer R. Harris, Eleanor Lyon, Jane Beal, & Andrew Foey. (2013). Probiotics, Prebiotics and Immunomodulation of Gut Mucosal Defences: Homeostasis and Immunopathology. Nutrients. 5(6). 1869–1912. 377 indexed citations breakdown →
11.
Al‐Murrani, W. K., et al.. (2011). Probiotic bacterial strains differentially modulate macrophage cytokine production in a strain-dependent and cell subset-specific manner. Beneficial Microbes. 2(4). 283–293. 57 indexed citations
12.
Brennan, Fionula M., Ching Li, Parisa Amjadi, et al.. (2008). Resting CD4+effector memory T cells are precursors of bystander-activated effectors: a surrogate model of rheumatoid arthritis synovial T-cell function. Arthritis Research & Therapy. 10(2). R36–R36. 45 indexed citations
14.
Foey, Andrew, Sarah Field, Salman Ahmed, et al.. (2003). Impact of VIP and cAMP on the regulation of TNF-α and IL-10 production: implications for rheumatoid arthritis. Arthritis Research & Therapy. 5(6). R317–28. 58 indexed citations
15.
Ozegbe, Patricia, Andrew Foey, Salman Ahmed, & Richard Williams. (2003). Impact of cAMP on the T‐cell response to type II collagen. Immunology. 111(1). 35–40. 18 indexed citations
16.
Brennan, Fionula M. & Andrew Foey. (2002). Cytokine regulation in RA synovial tissue: role of T cell/macrophage contact-dependent interactions.. Arthritis Research. 4(Suppl 3). S177–S177. 36 indexed citations
17.
Foey, Andrew, Patricia Green, Brian M. J. Foxwell, Marc Feldmann, & Fionula M. Brennan. (2001). Cytokine-stimulated T cells induce macrophage IL-10 production dependent on phosphatidylinositol 3-kinase and p70S6K: implications for rheumatoid arthritis. Arthritis Research & Therapy. 4(1). 32 indexed citations
18.
Foey, Andrew, Marc Feldmann, & Fionula M. Brennan. (2000). ROUTE OF MONOCYTE DIFFERENTIATION DETERMINES THEIR CYTOKINE PRODUCTION PROFILE: CD40 LIGATION INDUCES INTERLEUKIN 10 EXPRESSION. Cytokine. 12(10). 1496–1505. 22 indexed citations
19.
Foey, Andrew, Sarah Parry, Lynn Williams, et al.. (1998). Regulation of monocyte IL-10 synthesis by endogenous IL-1 and TNF-alpha: role of the p38 and p42/44 mitogen-activated protein kinases.. PubMed. 160(2). 920–8. 294 indexed citations
20.
Foey, Andrew, Sarah Parry, Lynn Williams, et al.. (1998). Regulation of Monocyte IL-10 Synthesis by Endogenous IL-1 and TNF-α: Role of the p38 and p42/44 Mitogen-Activated Protein Kinases. The Journal of Immunology. 160(2). 920–928. 263 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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