James A. Triccas

9.2k citations
126 papers · 5.8k indexed · 2 hit papers · h-index 36
Topics
Tuberculosis Research and Epidemiology (74 papers)Mycobacterium research and diagnosis (36 papers)Immunodeficiency and Autoimmune Disorders (21 papers)

In The Last Decade

James A. Triccas

122 papers receiving 5.7k citations

Hit Papers

Neutralizing antibody levels are highly predictive of imm...20212026202220242021202350010001.5k2.0k

Peers

James A. Triccas
Comparison fields: 5 of 129
  • Infectious Diseases 4.0k
  • Immunology 1.7k
  • Epidemiology 1.5k
  • Molecular Biology 1.3k
  • Health 430
Replace John S. Tregoning with:
John S. Tregoning United Kingdom
Guangwen Lu China
Rob Lambkin‐Williams United Kingdom
Wilbur H. Chen United States
Krzysztof Pyrć Poland
Geert Leroux‐Roels Belgium
Zhenglun Liang China
Jan Münch Germany
Weijin Huang China
Daniel F. Hoft United States
James A. Triccas relative to John S. Tregoning United Kingdom John S. Tregoning's profile →
Citations per field
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John S. Tregoning · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 4
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5 2
6 21
7 13
8 41
9 82
10 6
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Neutralizing antibody levels are highly predictive of immune protection from symptomatic SARS-CoV-2 infectionbreakdown →
2105
13 22
14 46
15 10
16 8
17 33
18 125
19 2
20 64

About James A. Triccas

James A. Triccas is a scholar working on Infectious Diseases, Immunology and Epidemiology, having authored 126 papers that have together received 5.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (74 papers), Mycobacterium research and diagnosis (36 papers) and Immunodeficiency and Autoimmune Disorders (21 papers). The work is most often cited by research in Infectious Diseases (4.0k citations), Immunology (1.7k citations) and Modeling and Simulation (253 citations). James A. Triccas has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Warwick J. Britton, Miles P. Davenport, Deborah Cromer, David S. Khoury, Stephen J. Kent, Arnold Reynaldi, Jennifer A. Juno, Adam K. Wheatley, Timothy E. Schlub and Kanta Subbarao. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.

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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