Jamie Rossjohn

48.0k total citations · 7 hit papers
480 papers, 32.0k citations indexed

About

Jamie Rossjohn is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Jamie Rossjohn has authored 480 papers receiving a total of 32.0k indexed citations (citations by other indexed papers that have themselves been cited), including 345 papers in Immunology, 115 papers in Molecular Biology and 93 papers in Epidemiology. Recurrent topics in Jamie Rossjohn's work include Immune Cell Function and Interaction (272 papers), T-cell and B-cell Immunology (248 papers) and Immunotherapy and Immune Responses (120 papers). Jamie Rossjohn is often cited by papers focused on Immune Cell Function and Interaction (272 papers), T-cell and B-cell Immunology (248 papers) and Immunotherapy and Immune Responses (120 papers). Jamie Rossjohn collaborates with scholars based in Australia, United Kingdom and United States. Jamie Rossjohn's co-authors include James McCluskey, Anthony W. Purcell, Dale I. Godfrey, Lars Kjer‐Nielsen, Stéphanie Gras, Travis Beddoe, Michael W. Parker, Onisha Patel, Andrëw G. Brööks and Zhenjun Chen and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jamie Rossjohn

471 papers receiving 31.6k citations

Hit Papers

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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.

MR1 presents microbial vitamin B metabolites to MAIT cells

2012 971 citations Lars Kjer‐Nielsen, Alexandra J. Corbett et al. profile →
More than one reason to rethink the use of peptides in vaccine design

2007 671 citations Anthony W. Purcell, James McCluskey et al. profile →
T-cell activation by transitory neo-antigens derived from distinct microbial pathways

2014 612 citations Alexandra J. Corbett, Sidonia B. G. Eckle et al. profile →
T Cell Antigen Receptor Recognition of Antigen-Presenting Molecules

2014 567 citations Jamie Rossjohn, Stéphanie Gras et al. profile →
The burgeoning family of unconventional T cells

2015 548 citations Dale I. Godfrey, James McCluskey et al. Nature Immunology profile →
Immune self-reactivity triggered by drug-modified HLA-peptide repertoire

2012 513 citations J.P. Vivian, Nadine L. Dudek et al. profile →
HLA variation and disease

2018 455 citations Jan Petersen, Jamie Rossjohn et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jamie Rossjohn	20.7k	8.5k	4.8k	4.6k	2.3k	480	32.0k
Martin F. Bachmann	18.0k 0.9×	8.3k 1.0×	3.6k 0.8×	5.1k 1.1×	4.1k 1.8×	371	31.3k
Ulrich H. von Andrian	26.1k 1.3×	9.8k 1.2×	7.6k 1.6×	3.2k 0.7×	1.6k 0.7×	256	42.9k
Michael B. Brenner	27.8k 1.3×	9.9k 1.2×	5.7k 1.2×	5.1k 1.1×	3.2k 1.4×	295	40.8k
Hans‐Georg Rammensee	19.6k 0.9×	11.3k 1.3×	6.0k 1.3×	3.7k 0.8×	1.4k 0.6×	361	28.0k
Takashi Saito	15.6k 0.8×	10.8k 1.3×	5.1k 1.1×	2.2k 0.5×	1.7k 0.7×	416	30.1k
Vincenzo Cerundolo	21.6k 1.0×	6.9k 0.8×	5.6k 1.2×	3.8k 0.8×	1.7k 0.7×	307	28.0k
Jay A. Berzofsky	17.8k 0.9×	9.3k 1.1×	5.0k 1.1×	4.8k 1.1×	2.6k 1.1×	435	29.3k
Edgar G. Engleman	15.5k 0.7×	6.0k 0.7×	5.8k 1.2×	3.7k 0.8×	1.5k 0.6×	277	24.9k
Tsuneyasu Kaisho	30.2k 1.5×	9.6k 1.1×	5.0k 1.1×	6.1k 1.3×	2.7k 1.2×	165	40.3k
Arthur Μ. Krieg	21.7k 1.0×	8.7k 1.0×	2.9k 0.6×	4.0k 0.9×	2.1k 0.9×	233	29.4k

Countries citing papers authored by Jamie Rossjohn

Since Specialization

Citations

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

Fields of papers citing papers by Jamie Rossjohn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie Rossjohn

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Rossjohn. A scholar is included among the top collaborators of Jamie Rossjohn 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 Jamie Rossjohn. Jamie Rossjohn 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

Hardy, Melinda Y., Amy K. Russell, Greg Tanner, et al.. (2025). Purified oat protein can trigger acute symptoms linked to immune activation in coeliac disease patients but not histological deterioration. Gut. 74(6). 906–917.

Ito, E., Anthony W. Purcell, Sho Yamasaki, et al.. (2025). The antigen-presenting molecule MR1 binds host-generated riboflavin catabolites. The Journal of Experimental Medicine. 223(2).

Loh, Tiing Jen, Jia Jia Lim, Claerwen M. Jones, et al.. (2024). The molecular basis underlying T cell specificity towards citrullinated epitopes presented by HLA-DR4. Nature Communications. 15(1). 6201–6201. 10 indexed citations

Pymm, Phillip, Philippa M. Saunders, Sushma Anand, et al.. (2024). The Structural Basis for Recognition of Human Leukocyte Antigen Class I Molecules by the Pan-HLA Antibody W6/32. The Journal of Immunology. 213(6). 876–885.

MacLachlan, Bruce J., Lucy C. Sullivan, Andrëw G. Brööks, Jamie Rossjohn, & J.P. Vivian. (2023). Structure of the murine CD94–NKG2A receptor in complex with Qa‐1^b presenting an MHC‐I leader peptide. FEBS Journal. 291(7). 1530–1544. 1 indexed citations

Borstel, Anouk von, Thi H. O. Nguyen, Louise C. Rowntree, et al.. (2023). Circulating effector γδ T cell populations are associated with acute coronavirus disease 19 in unvaccinated individuals. Immunology and Cell Biology. 101(4). 321–332. 6 indexed citations

Suliman, Sara, Lars Kjer‐Nielsen, Liyen Loh, et al.. (2022). Dual TCR-α Expression on Mucosal-Associated Invariant T Cells as a Potential Confounder of TCR Interpretation. The Journal of Immunology. 208(6). 1389–1395. 6 indexed citations

Wegrecki, Marcin, T. Praveena, Lijing Bu, et al.. (2021). The molecular assembly of the marsupial γμ T cell receptor defines a third T cell lineage. Science. 371(6536). 1383–1388. 16 indexed citations

Frick, Rahel, Lene S. Høydahl, Jan Petersen, et al.. (2021). A high-affinity human TCR-like antibody detects celiac disease gluten peptide–MHC complexes and inhibits T cell activation. Science Immunology. 6(62). 18 indexed citations

10.

Reinink, Peter, Adam Shahine, Stéphanie Gras, et al.. (2019). A TCR β-Chain Motif Biases toward Recognition of Human CD1 Proteins. The Journal of Immunology. 203(12). 3395–3406. 11 indexed citations

11.

Sandt, Carolien E. van de, E. Bridie Clemens, Emma J. Grant, et al.. (2019). Challenging immunodominance of influenza-specific CD8+ T cell responses restricted by the risk-associated HLA-A*68:01 allomorph. Nature Communications. 10(1). 5579–5579. 19 indexed citations

12.

Rowntree, Louise C., Thi H. O. Nguyen, Hanim Halim, et al.. (2018). Inability To Detect Cross-Reactive Memory T Cells Challenges the Frequency of Heterologous Immunity among Common Viruses. The Journal of Immunology. 200(12). 3993–4003. 12 indexed citations

13.

Rouxel, Ophélie, Jennifer Da Silva, Lucie Beaudoin, et al.. (2017). Cytotoxic and regulatory roles of mucosal-associated invariant T cells in type 1 diabetes. Nature Immunology. 18(12). 1321–1331. 184 indexed citations

14.

Du, Victor Y., Anju Bansal, Jonathan M. Carlson, et al.. (2016). HIV-1–Specific CD8 T Cells Exhibit Limited Cross-Reactivity during Acute Infection. The Journal of Immunology. 196(8). 3276–3286. 19 indexed citations

15.

Fung, Ka Yee, Niamh E. Mangan, Helen Cumming, et al.. (2013). Interferon-ε Protects the Female Reproductive Tract from Viral and Bacterial Infection. Science. 339(6123). 1088–1092. 170 indexed citations

16.

Scally, S.W., Jan Petersen, Soi Cheng Law, et al.. (2013). A molecular basis for the association of the HLA-DRB1 locus, citrullination, and rheumatoid arthritis. The Journal of Experimental Medicine. 210(12). 2569–2582. 308 indexed citations

17.

Berry, Richard, Lars Kjer‐Nielsen, Matthew A. Perugini, et al.. (2012). The structural basis for autonomous dimerization of the pre-T-cell antigen receptor. Queensland's institutional digital repository (The University of Queensland). 9 indexed citations

18.

Kedzierska, Katherine, Carole Guillonneau, Stéphanie Gras, et al.. (2008). Complete modification of TCR specificity and repertoire selection does not perturb a CD8 ⁺ T cell immunodominance hierarchy. Proceedings of the National Academy of Sciences. 105(49). 19408–19413. 34 indexed citations

19.

Ely, Lauren K., Travis Beddoe, Craig S. Clements, et al.. (2006). Disparate thermodynamics governing T cell receptor–MHC-I interactions implicate extrinsic factors in guiding MHC restriction. Proceedings of the National Academy of Sciences. 103(17). 6641–6646. 46 indexed citations

20.

Macdonald, W.A., Anthony W. Purcell, Nicole A. Mifsud, et al.. (2003). A Naturally Selected Dimorphism within the HLA-B44 Supertype Alters Class I Structure, Peptide Repertoire, and T Cell Recognition. The Journal of Experimental Medicine. 198(5). 679–691. 167 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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