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Abstract
Objective: To perform a bibliometric analysis in the field of biomarkers for systemic lupus erythematosus. Methods: Publications were from Web of Science. Microsoft Excel, VOSviewer, Science Mapping Analysis software Tool, CiteSpace and Tableau were used for analysis. Results: A total of 1112 publications were identified; 1503 institutions from 69 countries contributed, with the highest outputs from China and Karolinska University Hospital. Petri had a tremendous impact. Academic collaborations were localized. Lupus and Arthritis & Rheumatology were the top two journals in terms of publications and citations. Lymphocyte, autoantibody, type I interferon, genetic polymorphisms and urinary biomarkers have been high-frequency themes. Conclusion: Global collaboration needs to be further strengthened. Immune cell, cytokine and gene-level research as a whole and noninvasive tests are the future trends.
This is the first bibliometric analysis of systemic lupus erythematosus biomarkers based on global research.
Collaboration among countries, institutions and authors was highly localized.
Immune cell, cytokine and gene-level research as a whole is the future trend.
Noninvasive tests such as urine biomarkers are coming into the limelight.
Author contributions
Conceptualization: J Xu, Y Xie, H Yu; data curation: T Liu, J Xu, R Wang, Y Xie; formal analysis: J Xu, R Wang, D Hu; funding acquisition: H Yu; investigation: T Liu, H Yu; methodology: R Wang, Y Xie, Z Cha, D Hu, L Jiang, M Zuo; project administration: H Yu; resources: Z Cha, H Yu; software: T Liu, R Wang, Y Xie, Z Cha, D Hu, L Jiang, M Zuo; supervision: H Yu; validation: Y Xie, M Zuo; visualization: J Xu, Y Xie, L Jiang; writing – original draft: J Xu, Y Xie, M Zuo, R Wang; writing – review and editing, Y Xie, J Xu, R Wang, D Hu, Z Cha, L Jiang, M Zuo, T Liu, J Tian.
Financial disclosure
This work was supported by the National Natural Science Foundations of China (grant number 82360414), the Science and Technology Plan Project of Chengguan District in Lanzhou (grant number 2020-2-11-3), the Gansu Provincial Key Research and Development Project (grant number 22YF7FA066), the Gansu Provincial Science and Technology Program (grant number 23JRRA0957) and the Lanzhou Municipal Science and Technology Program (grant number 2023-2-37). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.
Competing interests disclosure
The authors have no competing interests or relevant affiliations with any organization or entity with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, stock ownership or options and expert testimony.
Writing disclosure
No writing assistance was utilized in the production of this manuscript.
Availability of data & materials
The data underlying this article were available in the Web of Science Core Collection database.
Patient & public involvement statement
This study involved the secondary integration of existing or published data utilizing no patients as study participants. No patients were involved in the setting of the research questions, the study design or the overall conduct of the study. There are no plans to involve patients in the dissemination of study results.