Gavin M. Mason

888 total citations
10 papers, 667 citations indexed

About

Gavin M. Mason is a scholar working on Epidemiology, Immunology and Parasitology. According to data from OpenAlex, Gavin M. Mason has authored 10 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Immunology and 5 papers in Parasitology. Recurrent topics in Gavin M. Mason's work include Cytomegalovirus and herpesvirus research (7 papers), Herpesvirus Infections and Treatments (5 papers) and Toxoplasma gondii Research Studies (5 papers). Gavin M. Mason is often cited by papers focused on Cytomegalovirus and herpesvirus research (7 papers), Herpesvirus Infections and Treatments (5 papers) and Toxoplasma gondii Research Studies (5 papers). Gavin M. Mason collaborates with scholars based in United Kingdom and United States. Gavin M. Mason's co-authors include Mark R. Wills, Sarah Jackson, Emma Poole, John Sinclair, J. G. P. Sissons, Georgina Okecha, Katie Lowe, Timothy Tree, Giovanna Lombardi and Richard J. Ellis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Virology.

In The Last Decade

Gavin M. Mason

10 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gavin M. Mason United Kingdom 10 483 332 103 74 69 10 667
Betty Lau United Kingdom 11 346 0.7× 125 0.4× 73 0.7× 116 1.6× 49 0.7× 14 458
Matteo Biolatti Italy 16 416 0.9× 319 1.0× 61 0.6× 218 2.9× 85 1.2× 33 717
T A Gregorio United States 7 130 0.3× 386 1.2× 112 1.1× 142 1.9× 117 1.7× 8 585
Deborah Gatti Italy 6 234 0.5× 421 1.3× 35 0.3× 169 2.3× 80 1.2× 8 538
Stefan Ebert Germany 12 260 0.5× 308 0.9× 38 0.4× 38 0.5× 49 0.7× 14 416
Brandi C. Jones United States 9 140 0.3× 445 1.3× 24 0.2× 86 1.2× 204 3.0× 10 617
Alexander Rölle Germany 13 266 0.6× 715 2.2× 15 0.1× 53 0.7× 195 2.8× 16 797
Magdalena Wojtasiak Australia 8 194 0.4× 711 2.1× 13 0.1× 114 1.5× 74 1.1× 8 845
Nadia Terrazzini United Kingdom 12 161 0.3× 204 0.6× 13 0.1× 76 1.0× 56 0.8× 21 404
Judith Baumeister Belgium 9 306 0.6× 182 0.5× 40 0.4× 187 2.5× 118 1.7× 19 729

Countries citing papers authored by Gavin M. Mason

Since Specialization
Citations

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

Fields of papers citing papers by Gavin M. Mason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gavin M. Mason. 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 Gavin M. Mason. The network helps show where Gavin M. Mason may publish in the future.

Co-authorship network of co-authors of Gavin M. Mason

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

All Works

10 of 10 papers shown
1.
Jackson, Sarah, Kevin Chen, Ian J. Groves, et al.. (2021). Latent Cytomegalovirus-Driven Recruitment of Activated CD4+ T Cells Promotes Virus Reactivation. Frontiers in Immunology. 12. 657945–657945. 13 indexed citations
2.
3.
Becker, Pablo D., et al.. (2015). Skin vaccination with live virus vectored microneedle arrays induce long lived CD8+ T cell memory. Vaccine. 33(37). 4691–4698. 20 indexed citations
4.
Mason, Gavin M., Katie Lowe, Rossella Melchiotti, et al.. (2015). Phenotypic Complexity of the Human Regulatory T Cell Compartment Revealed by Mass Cytometry. The Journal of Immunology. 195(5). 2030–2037. 105 indexed citations
5.
Jackson, Sarah, Gavin M. Mason, Georgina Okecha, J. G. P. Sissons, & Mark R. Wills. (2014). Diverse Specificities, Phenotypes, and Antiviral Activities of Cytomegalovirus-Specific CD8+T Cells. Journal of Virology. 88(18). 10894–10908. 55 indexed citations
6.
Mason, Gavin M., Sarah Jackson, Georgina Okecha, et al.. (2013). Human Cytomegalovirus Latency-Associated Proteins Elicit Immune-Suppressive IL-10 Producing CD4+ T Cells. PLoS Pathogens. 9(10). e1003635–e1003635. 66 indexed citations
7.
Poole, Emma, et al.. (2013). The Myeloid Transcription Factor GATA-2 Regulates the Viral UL144 Gene during Human Cytomegalovirus Latency in an Isolate-Specific Manner. Journal of Virology. 87(8). 4261–4271. 59 indexed citations
8.
Mason, Gavin M., Emma Poole, J. G. P. Sissons, Mark R. Wills, & John Sinclair. (2012). Human cytomegalovirus latency alters the cellular secretome, inducing cluster of differentiation (CD)4+T-cell migration and suppression of effector function. Proceedings of the National Academy of Sciences. 109(36). 14538–14543. 74 indexed citations
9.
Jackson, Sarah, Gavin M. Mason, & Mark R. Wills. (2010). Human cytomegalovirus immunity and immune evasion. Virus Research. 157(2). 151–160. 203 indexed citations
10.
Faller, J.W., Gavin M. Mason, & J. Parr. (2001). The synthesis of new complexes of rhenium(I) with heterotridentate [P,N,O] ligands. Journal of Organometallic Chemistry. 626(1-2). 181–185. 16 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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