Elizabeth C. Rosser

7.8k total citations · 3 hit papers
41 papers, 4.5k citations indexed

About

Elizabeth C. Rosser is a scholar working on Immunology, Molecular Biology and Rheumatology. According to data from OpenAlex, Elizabeth C. Rosser has authored 41 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 8 papers in Molecular Biology and 7 papers in Rheumatology. Recurrent topics in Elizabeth C. Rosser's work include T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (14 papers) and Immunotherapy and Immune Responses (6 papers). Elizabeth C. Rosser is often cited by papers focused on T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (14 papers) and Immunotherapy and Immune Responses (6 papers). Elizabeth C. Rosser collaborates with scholars based in United Kingdom, United States and Canada. Elizabeth C. Rosser's co-authors include Claudia Mauri, Natalie A. Carter, Lucy R. Wedderburn, Nina M. de Gruijter, Coziana Ciurtin, Claire T. Deakin, Anna Radziszewska, Hannah Peckham, Kate Webb and Charles Raine and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Elizabeth C. Rosser

40 papers receiving 4.4k 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.

Regulatory B Cells: Origin, Phenotype, and Function

2015 1.1k citations Elizabeth C. Rosser, Claudia Mauri profile →
Male sex identified by global COVID-19 meta-analysis as a risk factor for death and ITU admission

2020 876 citations Hannah Peckham, Nina M. de Gruijter et al. Nature Communications profile →
Microbiota-Derived Metabolites Suppress Arthritis by Amplifying Aryl-Hydrocarbon Receptor Activation in Regulatory B Cells

2020 412 citations Elizabeth C. Rosser, Christopher Piper et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elizabeth C. Rosser United Kingdom	20	2.2k	933	762	736	453	41	4.5k
Petter Brodin Sweden	33	2.5k 1.1×	1.3k 1.4×	960 1.3×	563 0.8×	920 2.0×	94	5.5k
Joshua D. Milner United States	41	3.1k 1.4×	772 0.8×	788 1.0×	534 0.7×	512 1.1×	124	5.3k
Charlotte Summers United Kingdom	31	1.6k 0.7×	866 0.9×	308 0.4×	355 0.5×	621 1.4×	89	3.9k
Derek C. Macallan United Kingdom	37	2.6k 1.2×	950 1.0×	1.1k 1.4×	723 1.0×	844 1.9×	114	5.9k
Andreas Kronbichler Austria	39	887 0.4×	889 1.0×	882 1.2×	480 0.7×	592 1.3×	218	5.2k
José Francisco Muñóz-Valle Mexico	32	1.3k 0.6×	784 0.8×	407 0.5×	378 0.5×	525 1.2×	286	3.9k
Delphine Sauce France	28	2.4k 1.1×	532 0.6×	799 1.0×	986 1.3×	1.3k 2.9×	66	4.4k
Peter D. Arkwright United Kingdom	44	2.8k 1.2×	955 1.0×	390 0.5×	400 0.5×	726 1.6×	152	6.0k
Giuseppe Murdaca Italy	39	1.9k 0.9×	563 0.6×	347 0.5×	516 0.7×	578 1.3×	145	4.4k
Stephen Jolles United Kingdom	39	2.3k 1.1×	363 0.4×	515 0.7×	267 0.4×	718 1.6×	164	4.8k

Countries citing papers authored by Elizabeth C. Rosser

Since Specialization

Citations

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

Fields of papers citing papers by Elizabeth C. Rosser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth C. Rosser. 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 Elizabeth C. Rosser. The network helps show where Elizabeth C. Rosser may publish in the future.

Co-authorship network of co-authors of Elizabeth C. Rosser

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth C. Rosser. A scholar is included among the top collaborators of Elizabeth C. Rosser 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 Elizabeth C. Rosser. Elizabeth C. Rosser 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

Lin, Wei‐Yu, Kathryn O’Brien, Elizabeth Ralph, et al.. (2025). Identification and validation of interferon-driven gene signature as a predictor of response to methotrexate in juvenile idiopathic arthritis. Annals of the Rheumatic Diseases. 84(8). 1412–1424. 2 indexed citations

Peckham, Hannah, Anna Radziszewska, Justyna Sikora, et al.. (2025). Estrogen influences class-switched memory B cell frequency only in humans with two X chromosomes. The Journal of Experimental Medicine. 222(4). 6 indexed citations

Rosser, Elizabeth C. & Lucy R. Wedderburn. (2025). Looking to the new horizon in rheumatology research. Nature Reviews Rheumatology. 21(11). 644–645.

Shinko, Diana, Martina Milighetti, Nina M. de Gruijter, et al.. (2025). Treg fitness signatures as a biomarker for disease activity in Juvenile Idiopathic Arthritis. Journal of Autoimmunity. 152. 103379–103379. 1 indexed citations

Radziszewska, Anna, Hannah Peckham, Restuadi Restuadi, et al.. (2024). Type I interferon and mitochondrial dysfunction are associated with dysregulated cytotoxic CD8+ T cell responses in juvenile systemic lupus erythematosus. Clinical & Experimental Immunology. 219(1). 5 indexed citations

Restuadi, Restuadi, Bethany R. Jebson, Lucy Marshall, et al.. (2024). OA34 Unravelling the role of B cells and interferon dysregulation in juvenile dermatomyositis. Lara D. Veeken. 63(Supplement_1). 1 indexed citations

Ciurtin, Coziana, et al.. (2024). Phytosterols in human serum as measured using a liquid chromatography tandem mass spectrometry. The Journal of Steroid Biochemistry and Molecular Biology. 241. 106519–106519. 2 indexed citations

Meija, Laila, et al.. (2023). Distinct B cell profiles characterise healthy weight and obesity pre- and post-bariatric surgery. International Journal of Obesity. 47(10). 970–978. 7 indexed citations

Wilkinson, Meredyth, Dale Moulding, Thomas McDonnell, et al.. (2022). Role of CD14+ monocyte-derived oxidised mitochondrial DNA in the inflammatory interferon type 1 signature in juvenile dermatomyositis. Annals of the Rheumatic Diseases. 82(5). 658–669. 26 indexed citations

10.

Matei, Diana E., Madhvi Menon, Dagmar Alber, et al.. (2021). Intestinal barrier dysfunction plays an integral role in arthritis pathology and can be targeted to ameliorate disease. Med. 2(7). 864–883.e9. 82 indexed citations

11.

Rosser, Elizabeth C., Christopher Piper, Diana E. Matei, et al.. (2020). Microbiota-Derived Metabolites Suppress Arthritis by Amplifying Aryl-Hydrocarbon Receptor Activation in Regulatory B Cells. Cell Metabolism. 31(4). 837–851.e10. 412 indexed citations breakdown →

12.

Peckham, Hannah, Nina M. de Gruijter, Charles Raine, et al.. (2020). Male sex identified by global COVID-19 meta-analysis as a risk factor for death and ITU admission. Nature Communications. 11(1). 6317–6317. 876 indexed citations breakdown →

13.

Piper, Christopher, Elizabeth C. Rosser, Kristīne Oļeiņika, et al.. (2019). Aryl Hydrocarbon Receptor Contributes to the Transcriptional Program of IL-10-Producing Regulatory B Cells. Cell Reports. 29(7). 1878–1892.e7. 137 indexed citations

14.

Piper, Christopher, Meredyth Wilkinson, Claire T. Deakin, et al.. (2018). CD19+CD24hiCD38hi B Cells Are Expanded in Juvenile Dermatomyositis and Exhibit a Pro-Inflammatory Phenotype After Activation Through Toll-Like Receptor 7 and Interferon-α. Frontiers in Immunology. 9. 1372–1372. 75 indexed citations

15.

Blair, Paul A., Christoph Leib, Michael E. Goddard, et al.. (2015). B regulatory cells are increased in hypercholesterolaemic mice and protect from lesion development via IL-10. Thrombosis and Haemostasis. 114(10). 835–847. 57 indexed citations

16.

Rosser, Elizabeth C., Paul A. Blair, & Claudia Mauri. (2014). Cellular targets of regulatory B cell-mediated suppression. Molecular Immunology. 62(2). 296–304. 79 indexed citations

17.

Rosser, Elizabeth C. & Claudia Mauri. (2014). Regulatory B Cells in Experimental Mouse Models of Arthritis. Methods in molecular biology. 1190. 183–194. 4 indexed citations

18.

Rosser, Elizabeth C., Kristīne Oļeiņika, Silvia Tonon, et al.. (2014). Regulatory B cells are induced by gut microbiota–driven interleukin-1β and interleukin-6 production. Nature Medicine. 20(11). 1334–1339. 348 indexed citations

19.

Beck, Jon, Tracy Campbell, Gary Adamson, et al.. (2014). Predictive testing for inherited prion disease: report of 22 years experience. European Journal of Human Genetics. 22(12). 1351–1356. 16 indexed citations

20.

Carter, Natalie A., Elizabeth C. Rosser, & Claudia Mauri. (2012). Interleukin-10 produced by B cells is crucial for the suppression of Th17/Th1 responses, induction of T regulatory type 1 cells and reduction of collagen-induced arthritis. Arthritis Research & Therapy. 14(1). R32–R32. 229 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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