ArticleFrontiers in immunology2023
Knowledge mapping of immune thrombocytopenia: a bibliometric study.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Global research trends inFrontiers in cellular and infection microbiology · 2026Pooled it
- Global research hotspots and trends in anti-inflammatory studies in dry eye: a bibliometric analysis (2004-2024).Frontiers in medicine · 2024Pooled it
- Research progress on Brassicaceae plants: a bibliometrics analysis.Frontiers in plant science · 2024Pooled it
- Roles of gas molecules and related factors in knee cartilage injury and repair: a bibliometric visualization analysis of research hotspots.Medical gas research · 2026Review
- The evolution of airway stenting research: a bibliometric analysis of the 100 most influential articles.Journal of thoracic disease · 2025Article
- Global research trends in metabolism-related intraocular malignancies: a multi-database bibliometric analysis and cross-validation study.Frontiers in molecular biosciences · 2025Article
- Knowledge mapping of induced membrane technique: a scientometric study from 2004 to 2023.Journal of orthopaedic surgery and research · 2024Review
- Trends and frontiers in signal amplification for aptamer-based tumor detection: A bibliometric analysis.World journal of clinical cases · 2024Article
- Articles on hemorrhagic shock published between 2000 and 2021: A CiteSpace-Based bibliometric analysis.Heliyon · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Immune thrombocytopenia (ITP) is an autoimmune disease characterized by isolated thrombocytopenia. Recently, the pathophysiology and novel drugs of ITP have been the focus of researchers with plenty of publications emerging. Bibliometrics is the process of extracting measurable data through statistical analysis of published research studies to provide an insight into the trends and hotspots. Objective: This study aimed to provide an insight into developing trends and hotspots in the field of ITP by bibliometric analysis. Methods: By using three bibliometric mapping tools (bibliometrix R package, VOSviewer, CiteSpace), we summarized the overview information of retrieved publications, as well as the analysis of keyword co-occurrence and reference co-citation. Results: A total of 3299 publications with 78066 citations on ITP research were included in the analysis. The keyword co-occurrence network identified 4 clusters relating to the diagnosis, pathophysiology, and treatment of ITP respectively. Then the reference co-citation analysis produced 12 clusters with a well-structured and highly credible clustering model, and they can be divided into 5 trends: second-line treatment, chronic ITP, novel therapy and pathogenesis, COVID-19 vaccine. Treg cells, spleen tyrosine kinase, and mesenchymal stem cells were the latest hotspots with strong burstness. Conclusion: This bibliometric analysis provided a comprehensive insight into research hotspots and trends on ITP, which would enrich the review of the ITP research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.