Meredyth Wilkinson

1.6k total citations
15 papers, 285 citations indexed

About

Meredyth Wilkinson is a scholar working on Epidemiology, Immunology and Rheumatology. According to data from OpenAlex, Meredyth Wilkinson has authored 15 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 8 papers in Immunology and 7 papers in Rheumatology. Recurrent topics in Meredyth Wilkinson's work include Inflammatory Myopathies and Dermatomyositis (11 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and T-cell and B-cell Immunology (5 papers). Meredyth Wilkinson is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (11 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and T-cell and B-cell Immunology (5 papers). Meredyth Wilkinson collaborates with scholars based in United Kingdom, Canada and United States. Meredyth Wilkinson's co-authors include Lucy R. Wedderburn, Elizabeth C. Rosser, Chris Wincup, Charalampia Papadopoulou, Liza McCann, Claire T. Deakin, George Robinson, Anna Radziszewska, David Isenberg and Yiannis Ioannou and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Human Molecular Genetics and Frontiers in Immunology.

In The Last Decade

Meredyth Wilkinson

15 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meredyth Wilkinson United Kingdom 9 173 123 111 62 44 15 285
Xiaolan Tian China 11 237 1.4× 170 1.4× 126 1.1× 68 1.1× 41 0.9× 23 375
Boaz Palterer Italy 12 133 0.8× 157 1.3× 111 1.0× 46 0.7× 25 0.6× 33 362
L. Barillas-Arias United States 3 128 0.7× 199 1.6× 155 1.4× 49 0.8× 40 0.9× 3 306
Angeles S. Galindo‐Feria Sweden 10 191 1.1× 76 0.6× 73 0.7× 68 1.1× 18 0.4× 21 264
Yasuyuki Todoroki Japan 10 96 0.6× 110 0.9× 123 1.1× 75 1.2× 14 0.3× 30 292
Lenka Pleštilová Czechia 12 227 1.3× 152 1.2× 147 1.3× 181 2.9× 18 0.4× 23 420
Yuzhou Gan China 10 91 0.5× 130 1.1× 105 0.9× 48 0.8× 26 0.6× 25 274
Jean‐Baptiste Vulsteke Belgium 10 229 1.3× 112 0.9× 81 0.7× 57 0.9× 16 0.4× 20 319
Levente Bodoki Hungary 8 333 1.9× 225 1.8× 68 0.6× 111 1.8× 36 0.8× 28 428
Toshiaki Tsukada Japan 11 67 0.4× 122 1.0× 64 0.6× 115 1.9× 37 0.8× 20 320

Countries citing papers authored by Meredyth Wilkinson

Since Specialization
Citations

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

Fields of papers citing papers by Meredyth Wilkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meredyth Wilkinson

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

All Works

15 of 15 papers shown
1.
Nicolai, Rebecca, Silvia Rosina, Brigitte Bader‐Meunier, et al.. (2025). Approach to Janus kinase inhibition for juvenile dermatomyositis among CARRA and PReS providers. Lara D. Veeken. 64(8). 4732–4737. 1 indexed citations
2.
Evans, N., Charalampia Papadopoulou, Clarissa Pilkington, et al.. (2025). Spatial transcriptomic analysis of muscle biopsy from patients with treatment-naive juvenile dermatomyositis reveals mitochondrial abnormalities despite disease-related interferon-driven signature. Annals of the Rheumatic Diseases. 84(10). 1706–1720. 1 indexed citations
3.
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
4.
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
5.
Papadopoulou, Charalampia, Christine Chew, Meredyth Wilkinson, Liza McCann, & Lucy R. Wedderburn. (2023). Juvenile idiopathic inflammatory myositis: an update on pathophysiology and clinical care. Nature Reviews Rheumatology. 19(6). 343–362. 32 indexed citations
6.
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
7.
Deakin, Claire T., John Bowes, Lisa G. Rider, et al.. (2022). Association with HLA-DRβ1 position 37 distinguishes juvenile dermatomyositis from adult-onset myositis. Human Molecular Genetics. 31(14). 2471–2481. 14 indexed citations
8.
Robinson, George, Meredyth Wilkinson, & Chris Wincup. (2022). The Role of Immunometabolism in the Pathogenesis of Systemic Lupus Erythematosus. Frontiers in Immunology. 12. 806560–806560. 29 indexed citations
9.
McCann, Liza, Polly Livermore, Meredyth Wilkinson, & Lucy R. Wedderburn. (2022). Juvenile dermatomyositis. Where are we now?. Clinical and Experimental Rheumatology. 40(2). 394–403. 26 indexed citations
10.
Wilkinson, Meredyth, Claire T. Deakin, Charalampia Papadopoulou, Despina Eleftheriou, & Lucy R. Wedderburn. (2021). JAK inhibitors: a potential treatment for JDM in the context of the role of interferon-driven pathology. Pediatric Rheumatology. 19(1). 146–146. 27 indexed citations
11.
Wilkinson, Meredyth, et al.. (2021). A survey to understand the feelings towards and impact of COVID-19 on the households of juvenile dermato myositis patients from a parent or carer perspective. Rheumatology Advances in Practice. 5(3). rkab058–rkab058. 2 indexed citations
12.
Wilkinson, Meredyth & Elizabeth C. Rosser. (2019). B Cells as a Therapeutic Target in Paediatric Rheumatic Disease. Frontiers in Immunology. 10. 214–214. 19 indexed citations
13.
Wilkinson, Meredyth, Anna Radziszewska, Chris Wincup, et al.. (2019). Using peripheral blood immune signatures to stratify patients with adult and juvenile inflammatory myopathies. Lara D. Veeken. 59(1). 194–204. 26 indexed citations
14.
Durrington, Hannah, et al.. (2018). An 'Omics' Study to Investigate the Mechanisms Underlying Circadian Rhythm in Asthma. American Journal of Respiratory and Critical Care Medicine. 197. 1 indexed citations
15.
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

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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