Shay Leary

644 total citations
26 papers, 304 citations indexed

About

Shay Leary is a scholar working on Immunology, Virology and Epidemiology. According to data from OpenAlex, Shay Leary has authored 26 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 8 papers in Virology and 8 papers in Epidemiology. Recurrent topics in Shay Leary's work include HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (6 papers) and T-cell and B-cell Immunology (6 papers). Shay Leary is often cited by papers focused on HIV Research and Treatment (8 papers), Immune Cell Function and Interaction (6 papers) and T-cell and B-cell Immunology (6 papers). Shay Leary collaborates with scholars based in Australia, United States and Indonesia. Shay Leary's co-authors include S. Mallal, Abha Chopra, Silvana Gaudieri, Mark Watson, Ward De Spiegelaere, John Sidney, Elizabeth J. Phillips, Alessandro Sette, Chike O. Abana and Paul Cameron and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Shay Leary

25 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shay Leary Australia 10 117 96 78 62 57 26 304
Tetsuya Nakamura Japan 9 116 1.0× 178 1.9× 44 0.6× 36 0.6× 133 2.3× 11 396
Dominique Masson France 12 215 1.8× 50 0.5× 72 0.9× 53 0.9× 57 1.0× 49 470
Nutthapong Tangsinmankong United States 10 154 1.3× 38 0.4× 38 0.5× 36 0.6× 106 1.9× 19 296
Karl W. Sykora Germany 12 80 0.7× 67 0.7× 28 0.4× 51 0.8× 67 1.2× 15 302
Francesca Falasca Italy 12 50 0.4× 196 2.0× 143 1.8× 70 1.1× 88 1.5× 37 438
Miriam Kiene Germany 8 70 0.6× 82 0.9× 43 0.6× 44 0.7× 53 0.9× 9 316
Elizabeth Keoshkerian Australia 10 152 1.3× 59 0.6× 39 0.5× 40 0.6× 80 1.4× 18 266
Odile Avinens France 9 225 1.9× 102 1.1× 200 2.6× 40 0.6× 58 1.0× 10 381
Chris H.H. ten Napel Netherlands 10 100 0.9× 119 1.2× 114 1.5× 49 0.8× 96 1.7× 22 384
Evan P. Thomas United States 5 249 2.1× 59 0.6× 106 1.4× 102 1.6× 95 1.7× 8 405

Countries citing papers authored by Shay Leary

Since Specialization
Citations

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

Fields of papers citing papers by Shay Leary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shay Leary

This figure shows the co-authorship network connecting the top 25 collaborators of Shay Leary. A scholar is included among the top collaborators of Shay Leary 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 Shay Leary. Shay Leary 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.
Gaudieri, Silvana, Rama Gangula, Ramesh Ram, et al.. (2023). Tracking of activated cTfh cells following sequential influenza vaccinations reveals transcriptional profile of clonotypes driving a vaccine-induced immune response. Frontiers in Immunology. 14. 1133781–1133781.
2.
Keane, Niamh M., Shay Leary, C. Almeida, et al.. (2022). Adaptation to HLA-associated immune pressure over the course of HIV infection and in circulating HIV-1 strains. PLoS Pathogens. 18(12). e1010965–e1010965. 5 indexed citations
3.
Wanjalla, Celestine N., Lichen Jing, David M. Koelle, et al.. (2022). Abacavir inhibits but does not cause self-reactivity to HLA-B*57:01-restricted EBV specific T cell receptors. Communications Biology. 5(1). 133–133. 4 indexed citations
4.
Allcock, Richard J. N., et al.. (2022). Do variations in the HLA-E ligand encoded by UL40 distinguish individuals susceptible to HCMV disease?. Human Immunology. 84(2). 75–79. 1 indexed citations
5.
Leary, Shay, Silvana Gaudieri, Matthew Parker, et al.. (2021). Generation of a Novel SARS-CoV-2 Sub-genomic RNA Due to the R203K/G204R Variant in Nucleocapsid: Homologous Recombination has Potential to Change SARS-CoV-2 at Both Protein and RNA Level. SHILAP Revista de lepidopterología. 6(2). 27–49. 43 indexed citations
6.
Leary, Shay, Ramesh Ram, Abha Chopra, et al.. (2021). Visual Genomics Analysis Studio as a Tool to Analyze Multiomic Data. Frontiers in Genetics. 12. 642012–642012. 7 indexed citations
7.
8.
Pavlos, Rebecca, Abha Chopra, Shay Leary, et al.. (2020). New genetic predictors for abacavir tolerance in HLA-B*57:01 positive individuals. Human Immunology. 81(6). 300–304. 19 indexed citations
9.
Chopra, Abha, Mina John, Shay Leary, et al.. (2019). Deep sequence analysis of HIV adaptation following vertical transmission reveals the impact of immune pressure on the evolution of HIV. PLoS Pathogens. 15(12). e1008177–e1008177. 18 indexed citations
10.
Dick, Ian M., Richard J. N. Allcock, Scott D. Brown, et al.. (2019). Identification of a CD8+ T-cell response to a predicted neoantigen in malignant mesothelioma. OncoImmunology. 9(1). 1684713–1684713. 15 indexed citations
11.
Grifoni, Alba, Daniela Weiskopf, Véronique Schulten, et al.. (2018). Sequence-based HLA-A, B, C, DP, DQ, and DR typing of 496 adults from San Diego, California, USA. Human Immunology. 79(12). 821–822. 11 indexed citations
12.
Grifoni, Alba, Daniela Weiskopf, Cecilia S. Lindestam Arlehamn, et al.. (2017). Sequence-based HLA-A, B, C, DP, DQ, and DR typing of 714 adults from Colombo, Sri Lanka. Human Immunology. 79(2). 87–88. 4 indexed citations
13.
Weiskopf, Daniela, Alba Grifoni, Cecilia S. Lindestam Arlehamn, et al.. (2017). Sequence-based HLA-A, B, C, DP, DQ, and DR typing of 339 adults from Managua, Nicaragua. Human Immunology. 79(1). 1–2. 8 indexed citations
14.
Noto, Jennifer M., Abha Chopra, John T. Loh, et al.. (2017). Pan-genomic analyses identify key Helicobacter pylori pathogenic loci modified by carcinogenic host microenvironments. Gut. 67(10). 1793–1804. 26 indexed citations
15.
Merani, Shahzma, Michaela Lucas, Katja Pfafferott, et al.. (2017). Influence of Transmitted Virus on the Host's Immune Response: A Case Study. Viral Immunology. 30(7). 533–541. 1 indexed citations
16.
Arlehamn, Cecilia S. Lindestam, Richard Copin, Shay Leary, et al.. (2017). Sequence-based HLA-A, B, C, DP, DQ, and DR typing of 100 Luo infants from the Boro area of Nyanza Province, Kenya. Human Immunology. 78(4). 325–326. 5 indexed citations
17.
Symons, Jori, Abha Chopra, Eva Malatinková, et al.. (2017). HIV integration sites in latently infected cell lines: evidence of ongoing replication. Retrovirology. 14(1). 2–2. 57 indexed citations
18.
Leary, Shay, Abha Chopra, David Dunn, et al.. (2016). Identifying Patient-Specific Epstein-Barr Nuclear Antigen-1 Genetic Variation and Potential Autoreactive Targets Relevant to Multiple Sclerosis Pathogenesis. PLoS ONE. 11(2). e0147567–e0147567. 14 indexed citations
19.
Symons, Jori, et al.. (2016). Integration analysis of latently infected cell lines: Evidence of ongoing replication. Murdoch Research Repository (Murdoch University). 1 indexed citations
20.
Creaney, Jenette, Michelle R. Tourigny, Ian M. Dick, et al.. (2015). Strong spontaneous tumor neoantigen responses induced by a natural human carcinogen. OncoImmunology. 4(7). e1011492–e1011492. 26 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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