Tony Kenna

8.2k total citations · 3 hit papers
57 papers, 3.2k citations indexed

About

Tony Kenna is a scholar working on Immunology, Rheumatology and Molecular Biology. According to data from OpenAlex, Tony Kenna has authored 57 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Immunology, 24 papers in Rheumatology and 12 papers in Molecular Biology. Recurrent topics in Tony Kenna's work include Spondyloarthritis Studies and Treatments (23 papers), Immune Cell Function and Interaction (15 papers) and T-cell and B-cell Immunology (13 papers). Tony Kenna is often cited by papers focused on Spondyloarthritis Studies and Treatments (23 papers), Immune Cell Function and Interaction (15 papers) and T-cell and B-cell Immunology (13 papers). Tony Kenna collaborates with scholars based in Australia, United Kingdom and United States. Tony Kenna's co-authors include Matthew A. Brown, William M. Gallagher, J. Killoran, Donal F. O’Shea, B P Wordsworth, Mary‐Ellen Costello, Cliona O’Farrelly, Derek G. Doherty, Ranjeny Thomas and Philip C. Robinson and has published in prestigious journals such as Journal of the American Chemical Society, Blood and The Journal of Immunology.

In The Last Decade

Tony Kenna

57 papers receiving 3.1k citations

Hit Papers

align trajectories

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.

In Vitro Demonstration of the Heavy-Atom Effect for Photodynamic Therapy

2004 809 citations J. Killoran, Tony Kenna et al. profile →
Brief Report: Intestinal Dysbiosis in Ankylosing Spondylitis

2014 305 citations Mary‐Ellen Costello, Francesco Ciccia et al. profile →
A systematic review and meta‐analysis of long‐term sequelae of COVID‐19 2‐year after SARS‐CoV‐2 infection: A call to action for neurological, physical, and psychological sciences

2023 64 citations Masoud Rahmati, Raphael Udeh et al. Journal of Medical Virology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tony Kenna Australia	25	1.3k	897	770	566	495	57	3.2k
Shinji Morimoto Japan	30	856 0.6×	596 0.7×	514 0.7×	608 1.1×	298 0.6×	172	3.2k
Teresa K. Tarrant United States	24	837 0.6×	280 0.3×	318 0.4×	482 0.9×	308 0.6×	67	2.1k
Katarzyna Bogunia‐Kubik Poland	28	963 0.7×	365 0.4×	153 0.2×	743 1.3×	175 0.4×	145	2.8k
David M. Weinreich United States	20	576 0.4×	148 0.2×	360 0.5×	685 1.2×	427 0.9×	32	2.8k
B A Kamen United States	28	255 0.2×	1.1k 1.2×	209 0.3×	2.1k 3.8×	346 0.7×	57	4.7k
Luise Erpenbeck Germany	25	1.1k 0.9×	100 0.1×	181 0.2×	638 1.1×	274 0.6×	47	2.3k
Yun Sang Lee South Korea	27	960 0.7×	327 0.4×	169 0.2×	542 1.0×	114 0.2×	69	2.6k
Hélène Dumortier France	24	799 0.6×	268 0.3×	461 0.6×	382 0.7×	509 1.0×	46	1.9k
J.B.M. Boezeman Netherlands	31	1.1k 0.8×	195 0.2×	94 0.1×	971 1.7×	317 0.6×	94	3.8k
Uma Prabhakar United States	22	806 0.6×	127 0.1×	185 0.2×	1.2k 2.1×	810 1.6×	41	3.1k

Countries citing papers authored by Tony Kenna

Since Specialization

Citations

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

Fields of papers citing papers by Tony Kenna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tony Kenna

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rahmati, Masoud, Raphael Udeh, Jiseung Kang, et al.. (2025). Long‐Term Sequelae of COVID‐19: A Systematic Review and Meta‐Analysis of Symptoms 3 Years Post‐SARS‐CoV‐2 Infection. Journal of Medical Virology. 97(6). e70429–e70429. 3 indexed citations

Parker, Matthew, Adelle S. Jee, Dylan Hansen, et al.. (2024). Multiple serum biomarkers associate with mortality and interstitial lung disease progression in systemic sclerosis. Lara D. Veeken. 63(11). 2981–2988. 5 indexed citations

Rahmati, Masoud, Raphael Udeh, Dong Keon Yon, et al.. (2023). A systematic review and meta‐analysis of long‐term sequelae of COVID‐19 2‐year after SARS‐CoV‐2 infection: A call to action for neurological, physical, and psychological sciences. Journal of Medical Virology. 95(6). e28852–e28852. 64 indexed citations breakdown →

Udeh, Raphael, Alberto Utrero‐Rico, Xenia Dolja‐Gore, et al.. (2023). Lactate dehydrogenase contribution to symptom persistence in long COVID: A pooled analysis. Reviews in Medical Virology. 33(6). e2477–e2477. 4 indexed citations

McInerney‐Leo, Aideen, Carine Le Goff, Paul Leo, et al.. (2016). Mutations in LTBP3 cause acromicric dysplasia and geleophysic dysplasia. Queensland's institutional digital repository (The University of Queensland). 3 indexed citations

Kenna, Tony, Philip C. Robinson, & Nigil Haroon. (2015). Endoplasmic reticulum aminopeptidases in the pathogenesis of ankylosing spondylitis. Queensland's institutional digital repository (The University of Queensland). 3 indexed citations

Costello, Mary‐Ellen, Francesco Ciccia, Dana Willner, et al.. (2015). Brief report: intestinal dysbiosis in ankylosing spondylitis. Queensland's institutional digital repository (The University of Queensland). 9 indexed citations

Robinson, Philip C., Eugene Tze-Chun Lau, Patricia Keith, et al.. (2015). ERAP2 functional knockout in humans does not alter surface heavy chains or HLA-B27, inflammatory cytokines or endoplasmic reticulum stress markers. Annals of the Rheumatic Diseases. 74(11). 2092–2095. 14 indexed citations

Brown, Matthew A., Tony Kenna, & B P Wordsworth. (2015). Genetics of ankylosing spondylitis—insights into pathogenesis. Nature Reviews Rheumatology. 12(2). 81–91. 203 indexed citations

10.

Rosenbaum, James T., et al.. (2014). Does the microbiome play a causal role in spondyloarthritis?. Clinical Rheumatology. 33(6). 763–767. 17 indexed citations

11.

Costello, Mary‐Ellen, Francesco Ciccia, Brooke Gardiner, et al.. (2013). Evidence Of a Microbial Signature In The Intestinal Microbiome In Ankylosing Spondylitis.. Queensland's institutional digital repository (The University of Queensland). 1 indexed citations

12.

Kenna, Tony, Stuart I. Davidson, Ran Duan, et al.. (2011). Enrichment of circulating interleukin‐17–secreting interleukin‐23 receptor–positive γ/δ T cells in patients with active ankylosing spondylitis. Arthritis & Rheumatism. 64(5). 1420–1429. 207 indexed citations

13.

Kenna, Tony, Tanya Waldie, Alice McNally, et al.. (2009). Targeting Antigen to Diverse APCs Inactivates Memory CD8+ T Cells without Eliciting Tissue-Destructive Effector Function. The Journal of Immunology. 184(2). 598–606. 33 indexed citations

14.

Mattarollo, Stephen R., Tony Kenna, Mie Nieda, & Andrew J. Nicol. (2006). Chemotherapy pretreatment sensitizes solid tumor-derived cell lines to Vα24+ NKT cell-mediated cytotoxicity. Faculty of Health; Institute of Health and Biomedical Innovation. 1 indexed citations

15.

Kenna, Tony, Margaret O’Brien, Andrew E. Hogan, et al.. (2006). CD1 expression and CD1-restricted T cell activity in normal and tumour-bearing human liver. Cancer Immunology Immunotherapy. 56(4). 563–572. 13 indexed citations

16.

Mattarollo, Stephen R., Tony Kenna, Mie Nieda, & Andrew J. Nicol. (2006). Chemotherapy pretreatment sensitizes solid tumor‐derived cell lines to Vα24⁺ NKT cell‐mediated cytotoxicity. International Journal of Cancer. 119(7). 1630–1637. 38 indexed citations

17.

Gallagher, William M., Lorcan T. Allen, Tony Kenna, et al.. (2005). A potent nonporphyrin class of photodynamic therapeutic agent: cellular localisation, cytotoxic potential and influence of hypoxia. British Journal of Cancer. 92(9). 1702–1710. 101 indexed citations

18.

Kenna, Tony, Lucy Golden‐Mason, Suzanne Norris, et al.. (2004). Distinct subpopulations of gamma delta T cells are present in normal and tumor-bearing human liver. Queensland's institutional digital repository (The University of Queensland). 4 indexed citations

19.

Kenna, Tony, Steven A. Porcelli, Yasuhiko Koezuka, et al.. (2003). NKT Cells from Normal and Tumor-Bearing Human Livers Are Phenotypically and Functionally Distinct from Murine NKT Cells. The Journal of Immunology. 171(4). 1775–1779. 146 indexed citations

20.

Kenna, Tony, Lucy Golden‐Mason, Steven A. Porcelli, et al.. (2003). NKT Cells from Normal and Tumor-Bearing Human Livers Are Phenotypically and Functionally Distinct from Murine NKT Cells. The Journal of Immunology. 171(10). 5631–5631. 7 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.

Explore authors with similar magnitude of impact