Abstract
Background
Juvenile dermatomyositis (JDM) is the most common and severe form of juvenile idiopathic inflammatory myopathy. We conducted a global mapping of the JDM scientific literature to assess publication trends, collaboration patterns, intellectual structure, and emerging priorities.
Methods
We identified English-language original articles on JDM published between 1976 and 2024 in the Web of Science Core Collection (Science Citation Index Expanded), limited to clinically relevant categories. Bibliometrix and VOSviewer were used to generate key bibliometric indicators. Disruption Index was applied to distinguish disruptive from consolidating work.
Results
A total of 1113 articles were published in 201 journals by 5626 researchers. Publication output peaked in 2024, with an annual growth rate of 7.8%. The United States produced the largest number of publications, whereas the United Kingdom achieved the highest time-normalized citation rate. Recent research has increasingly focused on immunological endotyping, myositis-specific antibodies (MSAs), disease activity indices, and registry-based studies. Disruption Index analysis showed that disruptive contributions clustered around epidemiologic baselines, core outcome sets, treatment strategies, and clinical definitions.
Conclusion
JDM research has evolved into a measurement-driven, collaborative field focused on immunological profiling and standardized assessment. Strengthening international networks and registry-based designs may further accelerate progress in this rare disease domain.
Impact
-
This study presents a comprehensive bibliometric analysis of juvenile dermatomyositis research spanning nearly five decades.
-
The study identifies key publication trends, intellectual structures, and disruptive contributions shaping the field.
-
The findings demonstrate that international collaboration and standardization efforts significantly enhance citation impact and field-wide influence.
-
The study provides a strategic roadmap for future research, emphasizing endotype-based classification, registry integration, and cross-specialty dissemination to accelerate progress in this rare disease.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 14 print issues and online access
$259.00 per year
only $18.50 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to the full article PDF.
USD 39.95
Prices may be subject to local taxes which are calculated during checkout




Similar content being viewed by others
Data availability
The data used in this bibliometric analysis are publicly available and were obtained from the Clarivate Web of Science database. No new data were generated or analyzed in the course of this study. Access to the Web of Science database is available through institutional or personal subscriptions.
References
McCann, L. J., Livermore, P., Wilkinson, M. G. L. & Wedderburn, L. R. Juvenile dermatomyositis. Where are we now?. Clin. Exp. Rheumatol. 40, 394–403 (2022).
Quartier, P. & Gherardi, R. K. Juvenile dermatomyositis. Handb. Clin. Neurol. 113, 1457–1463 (2013).
Rhim, J. W. Juvenile dermatomyositis. J. Rheum. Dis. 29, 14–21 (2022).
Ridley, C. M. Juvenile dermatomyositis. Proc. R. Soc. Med. 49, 822–823 (1956).
Coss, S. L., Sabbagh, S. E. & Kim, H. Updates in juvenile dermatomyositis: pathogenesis and therapy. Curr. Opin. Rheumatol. 37, 445–456 (2025).
Sherman, M. A. et al. Clinical features and immunogenetic risk factors associated with additional autoantibodies in anti-transcriptional intermediary factor 1γ juvenile-onset dermatomyositis. Arthritis Rheumatol. 76, 631–637 (2024).
Chen, X., Lian, D. & Zeng, H. Single-cell profiling of peripheral blood and muscle cells reveals inflammatory features of juvenile dermatomyositis. Front. Cell Dev. Biol. 11, 1166017 (2023).
Xiao, Y. et al. Multiomics analysis uncovers subtype-specific mechanisms and biomarkers in idiopathic inflammatory myopathies. Ann. Rheum. Dis. https://doi.org/10.1016/j.ard.2025.08.011 (2025).
Danieli, M. G., Paladini, A., Longhi, E., Tonacci, A. & Gangemi, S. A machine learning analysis to evaluate the outcome measures in inflammatory myopathies. Autoimmun. Rev. 22, 103353 (2023).
McLeish, E., Slater, N., Mastaglia, F. L., Needham, M. & Coudert, J. D. From data to diagnosis: how machine learning is revolutionizing biomarker discovery in idiopathic inflammatory myopathies. Brief. Bioinform. 25, bbad514 (2023).
Huber, A. M. Update on the clinical management of juvenile dermatomyositis. Expert Rev. Clin. Immunol. 14, 1021–1028 (2018).
Veldkamp, S. R., van Wijk, F., van Royen-Kerkhof, A. & Jansen, M. H. Personalised medicine in juvenile dermatomyositis: from novel insights in disease mechanisms to changes in clinical practice. Best Pract. Res. Clin. Rheumatol. 38, 101976 (2024).
Wu, J. Q., Lu, M. P. & Reed, A. M. Juvenile dermatomyositis: advances in clinical presentation, myositis-specific antibodies and treatment. World J. Pediatr. 16, 31–43 (2020).
Wallwork, R. S., Paik, J. J. & Kim, H. Current evidence for janus kinase inhibitors in adult and juvenile dermatomyositis and key comparisons. Expert Opin. Pharmacother. 25, 1625–1645 (2024).
Marlés-Sáenz, E., Gómez-Luna, E., Guerrero, J. M. & Vasquez, J. C. Innovative bibliometric methodology: a new big data-based framework for scientific research. Energies 18, 2437 (2025).
Li, M. et al. Bibliometric and altmetric analyses of publication activity in the field of idiopathic inflammatory myopathy in 2011–2021 based on Web of Science core collection databases. Rheumatol. Int. 43, 1121–1133 (2023).
Ma, X. N. et al. A bibliometric analysis of the research status and trends in studies on polymyositis and dermatomyositis with interstitial lung disease from 2000 to 2022 using Web of Science. Immun. Inflamm. Dis. 12, e1190 (2024).
Harzing, A. W. & Alakangas, S. Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison. Scientometrics 106, 787–804 (2016).
Pranckutė, R. Web of Science (WoS) and Scopus: the titans of bibliographic information in today’s academic world. Publications 9, 12 (2021).
Bohan, A. & Peter, J. B. Polymyositis and dermatomyositis (first of two parts). N. Engl. J. Med. 292, 344–347 (1975).
Bohan, A. & Peter, J. B. Polymyositis and dermatomyositis (second of two parts). N. Engl. J. Med. 292, 403–407 (1975).
Aria, M. & Cuccurullo, C. bibliometrix: an R-tool for comprehensive science mapping analysis. J. Informetr. 11, 959–975 (2017).
van Eck, N. J. & Waltman, L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84, 523–538 (2010).
Funk, R. J. & Owen-Smith, J. A dynamic network measure of technological change. Manag. Sci. 63, 791–817 (2017).
Li, M., Livan, G. & Righi, S. Breaking down the relationship between disruption scores and citation counts. PLoS One 19, e0313268 (2024).
Wu, L., Wang, D. & Evans, J. A. Large teams develop and small teams disrupt science and technology. Nature 566, 378–382 (2019).
Morita, R. et al. Human blood CXCR5(+)CD4(+) T cells are counterparts of T follicular cells and contain specific subsets that differentially support antibody secretion. Immunity 34, 108–121 (2011).
Gardner-Medwin, J. M., Dolezalova, P., Cummins, C. & Southwood, T. R. Incidence of Henoch-Schönlein purpura, Kawasaki disease, and rare vasculitides in children of different ethnic origins. Lancet 360, 1197–1202 (2002).
Oddis, C. V. et al. Rituximab in the treatment of refractory adult and juvenile dermatomyositis and adult polymyositis: a randomized, placebo-phase trial. Arthritis Rheum. 65, 314–324 (2013).
Kissel, J. T., Mendell, J. R. & Rammohan, K. W. Microvascular deposition of complement membrane attack complex in dermatomyositis. N. Engl. J. Med. 314, 329–334 (1986).
Targoff, I. N. et al. A novel autoantibody to a 155-kd protein is associated with dermatomyositis. Arthritis Rheum. 54, 3682–3689 (2006).
Fiorentino, D. F. et al. Most patients with cancer-associated dermatomyositis have antibodies to nuclear matrix protein NXP-2 or transcription intermediary factor 1γ. Arthritis Rheum. 65, 2954–2962 (2013).
Rider, L. G. et al. Measures of adult and juvenile dermatomyositis, polymyositis, and inclusion body myositis: Physician and Patient/Parent Global Activity, Manual Muscle Testing (MMT), Health Assessment Questionnaire (HAQ)/Childhood Health Assessment Questionnaire (C-HAQ), Childhood Myositis Assessment Scale (CMAS), Myositis Disease Activity Assessment Tool (MDAAT), Disease Activity Score (DAS), Short Form 36 (SF-36), Child Health Questionnaire (CHQ), physician global damage, Myositis Damage Index (MDI), Quantitative Muscle Testing (QMT), Myositis Functional Index-2 (FI-2), Myositis Activities Profile (MAP), Inclusion Body Myositis Functional Rating Scale (IBMFRS), Cutaneous Dermatomyositis Disease Area and Severity Index (CDASI), Cutaneous Assessment Tool (CAT), Dermatomyositis Skin Severity Index (DSSI), Skindex, and Dermatology Life Quality Index (DLQI). Arthritis Care Res. 63, S118–S157 (2011).
Levine, T. D. Rituximab in the treatment of dermatomyositis: an open-label pilot study. Arthritis Rheum. 52, 601–607 (2005).
DeWane, M. E., Waldman, R. & Lu, J. Dermatomyositis: clinical features and pathogenesis. J. Am. Acad. Dermatol. 82, 267–281 (2020).
Mendez, E. P. et al. US incidence of juvenile dermatomyositis, 1995–1998: results from the National Institute of Arthritis and Musculoskeletal and Skin Diseases Registry. Arthritis Rheum. 49, 300–305 (2003).
Ruperto, N. et al. Preliminary core sets of measures for disease activity and damage assessment in juvenile systemic lupus erythematosus and juvenile dermatomyositis. Rheumatology 42, 1452–1459 (2003).
Mukamel, M., Horev, G. & Mimouni, M. New insight into calcinosis of juvenile dermatomyositis: a study of composition and treatment. J. Pediatr. 138, 763–766 (2001).
Jacobs, J. C. Methotrexate and azathioprine treatment of childhood dermatomyositis. Pediatrics 59, 212–218 (1977).
Arabshahi, B., Silverman, R. A., Jones, O. Y. & Rider, L. G. Abatacept and sodium thiosulfate for treatment of recalcitrant juvenile dermatomyositis complicated by ulceration and calcinosis. J. Pediatr. 160, 520–522 (2012).
Hernandez, R. J., Keim, D. R., Sullivan, D. B., Chenevert, T. L. & Martel, W. Magnetic resonance imaging appearance of the muscles in childhood dermatomyositis. J. Pediatr. 117, 546–550 (1990).
De Benedetti, F., De Amici, M., Aramini, L., Ruperto, N. & Martini, A. Correlation of serum neopterin concentrations with disease activity in juvenile dermatomyositis. Arch. Dis. Child. 69, 232–235 (1993).
Friedman, J. M. et al. Immunogenetic studies of juvenile dermatomyositis. HLA antigens in patients and their families. Tissue Antigens 21, 45–49 (1983).
Kavanagh, G. M., Colaco, C. B. & Kennedy, C. T. Juvenile dermatomyositis associated with partial lipoatrophy. J. Am. Acad. Dermatol. 28, 348–351 (1993).
Eisenstein, D. M., Paller, A. S. & Pachman, L. M. Juvenile dermatomyositis presenting with rash alone. Pediatrics 100, 391–392 (1997).
Fuhlbrigge, R. C., Schanberg, L. E. & Kimura, Y. CARRA: the childhood arthritis and rheumatology research alliance. Rheum. Dis. Clin. North Am. 47, 531–543 (2021).
Martin, N. et al. A national registry for juvenile dermatomyositis and other paediatric idiopathic inflammatory myopathies: 10 years’ experience; the Juvenile Dermatomyositis National (UK and Ireland) Cohort Biomarker Study and Repository for Idiopathic Inflammatory Myopathies. Rheumatology 50, 137–145 (2011).
Wang, J., Frietsch, R., Neuhäusler, P. & Hooi, R. International collaboration leading to high citations: global impact or home country effect?. J. Informetr. 18, 101565 (2024).
Halilu, F. & Christopher-Stine, L. Myositis-specific antibodies: overview and clinical utilization. Rheumatol. Immunol. Res. 3, 1–10 (2022).
Neely, J., Ardalan, K., Huber, A. & Kim, S. Childhood Arthritis and Rheumatology Research Alliance Investigators. Baseline characteristics of children with juvenile dermatomyositis enrolled in the first year of the new Childhood Arthritis and Rheumatology Research Alliance registry. Pediatr. Rheumatol. Online J. 20, 50 (2022).
Kwiatkowska, D. & Reich, A. The significance of autoantibodies in juvenile dermatomyositis. Biomed. Res. Int. 2021, 5513544 (2021).
Malattia, C. et al. Whole-body MRI in the assessment of disease activity in juvenile dermatomyositis. Ann. Rheum. Dis. 73, 1083–1090 (2014).
Author information
Authors and Affiliations
Contributions
M.K., M.C.L., C.L.W. contributed to the conception. M.K. contributed to data acquisition and interpretation. M.K. and M.C.L. contributed to draft of the manuscript. C.L.W. contributed to revise of the article. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Wang, CL., Lu, MC. & Koo, M. Global landscape of juvenile dermatomyositis research: a bibliometric analysis. Pediatr Res (2026). https://doi.org/10.1038/s41390-026-04823-w
Received:
Revised:
Accepted:
Published:
Version of record:
DOI: https://doi.org/10.1038/s41390-026-04823-w


