James A. Triccas

9.2k total citations · 2 hit papers
126 papers, 5.8k citations indexed

About

James A. Triccas is a scholar working on Infectious Diseases, Immunology and Epidemiology. According to data from OpenAlex, James A. Triccas has authored 126 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Infectious Diseases, 62 papers in Immunology and 55 papers in Epidemiology. Recurrent topics in James A. Triccas's work include Tuberculosis Research and Epidemiology (74 papers), Mycobacterium research and diagnosis (36 papers) and Immunodeficiency and Autoimmune Disorders (21 papers). James A. Triccas is often cited by papers focused on Tuberculosis Research and Epidemiology (74 papers), Mycobacterium research and diagnosis (36 papers) and Immunodeficiency and Autoimmune Disorders (21 papers). James A. Triccas collaborates with scholars based in Australia, United States and France. James A. Triccas's co-authors include Warwick J. Britton, Miles P. Davenport, David S. Khoury, Deborah Cromer, Stephen J. Kent, Arnold Reynaldi, Jennifer A. Juno, Adam K. Wheatley, Timothy E. Schlub and Kanta Subbarao and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

James A. Triccas

122 papers receiving 5.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neutralizing antibody levels are highly predictive of immune protection from symptomatic SARS-CoV-2 infection

2021 2.1k citations David S. Khoury, Deborah Cromer et al. Nature Medicine profile →
Correlates of Protection, Thresholds of Protection, and Immunobridging among Persons with SARS-CoV-2 Infection

2023 72 citations David S. Khoury, Timothy E. Schlub et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James A. Triccas Australia	36	4.0k	1.7k	1.5k	1.3k	430	126	5.8k
John S. Tregoning United Kingdom	37	2.0k 0.5×	1.8k 1.0×	2.5k 1.6×	1.4k 1.1×	274 0.6×	116	5.7k
Geert Leroux‐Roels Belgium	58	2.2k 0.6×	3.0k 1.8×	6.9k 4.5×	1.8k 1.4×	348 0.8×	297	11.5k
Krzysztof Pyrć Poland	41	4.4k 1.1×	659 0.4×	1.3k 0.9×	1.1k 0.9×	102 0.2×	140	6.9k
Jan Münch Germany	45	2.6k 0.6×	2.0k 1.1×	1.4k 0.9×	2.3k 1.8×	71 0.2×	182	7.3k
Guangyu Zhao China	37	2.4k 0.6×	1.0k 0.6×	1.1k 0.7×	955 0.8×	80 0.2×	100	3.9k
Alexandra Schäfer United States	27	3.0k 0.8×	808 0.5×	837 0.5×	1.2k 0.9×	53 0.1×	54	4.8k
Guangwen Lu China	32	4.7k 1.2×	605 0.4×	920 0.6×	1.6k 1.3×	89 0.2×	84	6.4k
Marta L. DeDiego Spain	37	3.3k 0.8×	929 0.5×	1.1k 0.7×	1.3k 1.1×	64 0.1×	70	4.9k
Rob Lambkin‐Williams United Kingdom	31	1.4k 0.3×	1.1k 0.7×	3.1k 2.0×	1.0k 0.8×	79 0.2×	74	4.5k
Tengchuan Jin China	36	2.1k 0.5×	3.5k 2.0×	1.1k 0.7×	4.1k 3.2×	62 0.1×	178	8.1k

Countries citing papers authored by James A. Triccas

Since Specialization

Citations

This map shows the geographic impact of James A. Triccas'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. Triccas 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. Triccas more than expected).

Fields of papers citing papers by James A. Triccas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Al-Wassiti, Hareth, Stewart A. Fabb, Leonard Whye Kit Lim, et al.. (2025). An LNP-mRNA vaccine modulates innate cell trafficking and promotes polyfunctional Th1 CD4+ T cell responses to enhance BCG-induced protective immunity against Mycobacterium tuberculosis. EBioMedicine. 113. 105599–105599. 6 indexed citations

Ashley, Caroline L., Lachlan J. Smith, Jin Wang, et al.. (2024). Optimisation of a multiplexed, high throughput assay to measure neutralising antibodies against SARS-CoV-2 variants. Journal of Virological Methods. 332. 115073–115073.

Nagalingam, Gayathri, et al.. (2024). Mycobacterium tuberculosis Deficient in PdtaS Cytosolic Histidine Kinase Displays Attenuated Growth and Affords Protective Efficacy against Aerosol M. tuberculosis Infection in Mice. Vaccines. 12(1). 50–50.

Counoupas, Claudio, Megan Steain, Caroline L. Ashley, et al.. (2024). Dendritic cell–specific intercellular adhesion molecule‐3‐grabbing nonintegrin (DC‐SIGN) is a cellular receptor for delta inulin adjuvant. Immunology and Cell Biology. 102(7). 593–604. 5 indexed citations

Pinto, Rachel, et al.. (2024). Immunogenicity and Protective Efficacy of a Multi-Antigen Mycobacterium tuberculosis Subunit Vaccine in Mice. Vaccines. 12(9). 997–997. 4 indexed citations

Baird, Sarah, Caroline L. Ashley, Felix Marsh‐Wakefield, et al.. (2023). A unique cytotoxic CD4 ⁺ T cell‐signature defines critical COVID‐19. Clinical & Translational Immunology. 12(8). e1463–e1463. 2 indexed citations

Yam, Andrew O., Jacqueline Bailey, Scott E. Youlten, et al.. (2023). Neutrophil Conversion to a Tumor-Killing Phenotype Underpins Effective Microbial Therapy. Cancer Research. 83(8). 1315–1328. 21 indexed citations

Cromer, Deborah, Arnold Reynaldi, Megan Steain, et al.. (2022). Relating In Vitro Neutralization Level and Protection in the CVnCoV (CUREVAC) Trial. Clinical Infectious Diseases. 75(1). e878–e879. 13 indexed citations

Hortle, Elinor, Kathryn Wright, Pradeep Manuneedhi Cholan, et al.. (2022). Rough and smooth variants of Mycobacterium abscessus are differentially controlled by host immunity during chronic infection of adult zebrafish. Nature Communications. 13(1). 952–952. 41 indexed citations

10.

Kent, Stephen J., David S. Khoury, Arnold Reynaldi, et al.. (2022). Disentangling the relative importance of T cell responses in COVID-19: leading actors or supporting cast?. Nature reviews. Immunology. 22(6). 387–397. 82 indexed citations

11.

Bhattacharyya, Nayan D., Claudio Counoupas, Guoliang Zhang, et al.. (2021). TCR Affinity Controls the Dynamics but Not the Functional Specification of the Antimycobacterial CD4+ T Cell Response. The Journal of Immunology. 206(12). 2875–2887. 9 indexed citations

12.

Khoury, David S., Deborah Cromer, Arnold Reynaldi, et al.. (2021). Neutralizing antibody levels are highly predictive of immune protection from symptomatic SARS-CoV-2 infection. Nature Medicine. 27(7). 1205–1211. 2105 indexed citations breakdown →

13.

Izzo, Angelo, Shannon M. Miller, Daniel J. Frank, et al.. (2021). Advancing Adjuvants for Mycobacterium tuberculosis Therapeutics. Frontiers in Immunology. 12. 740117–740117. 17 indexed citations

14.

McLean, Kirsty J., Gayathri Nagalingam, James A. Triccas, et al.. (2019). Structure–Activity Relationships of cyclo(l-Tyrosyl-l-tyrosine) Derivatives Binding to Mycobacterium tuberculosis CYP121: Iodinated Analogues Promote Shift to High-Spin Adduct. Journal of Medicinal Chemistry. 62(21). 9792–9805. 22 indexed citations

15.

Yu, Mingfeng, Timothy J. Ryan, Samantha Ellis, et al.. (2014). Neuroprotective peptide–macrocycle conjugates reveal complex structure–activity relationships in their interactions with amyloid β. Metallomics. 6(10). 1931–1940. 17 indexed citations

16.

Burke, Catherine, Michael Liu, Warwick J. Britton, et al.. (2013). Harnessing Single Cell Sorting to Identify Cell Division Genes and Regulators in Bacteria. PLoS ONE. 8(4). e60964–e60964. 22 indexed citations

17.

Ryan, Anthony A., et al.. (2009). Modulation of pulmonary DC function by vaccine‐encoded GM‐CSF enhances protective immunity against Mycobacterium tuberculosis infection. European Journal of Immunology. 40(1). 153–161. 44 indexed citations

18.

Ryan, Anthony A., Teresa M. Wozniak, Elena Shklovskaya, et al.. (2007). Improved Protection against Disseminated Tuberculosis by Mycobacterium bovis Bacillus Calmette-Guerin Secreting Murine GM-CSF Is Associated with Expansion and Activation of APCs. The Journal of Immunology. 179(12). 8418–8424. 33 indexed citations

19.

Triccas, James A., Tanya Parish, Warwick J. Britton, & Brigitte Gicquel. (1998). An inducible expression system permitting the efficient purification of a recombinant antigen fromMycobacterium smegmatis. FEMS Microbiology Letters. 167(2). 151–156. 125 indexed citations

20.

Triccas, James A.. (1998). An inducible expression system permitting the efficient purification of a recombinant antigen from Mycobacterium smegmatis. FEMS Microbiology Letters. 167(2). 151–156. 2 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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