ArticleIndian dermatology online journal
Global Research Trend on Allergic Skin Disorders: A Bibliometric Analysis from 2001 to 2020.
Article in Indian dermatology online journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Global research trends in the epidemiology of allergic disorders: a bibliometric and evidence-mapping review.Frontiers in medicine · 2026Pooled it
- Transparency, Reproducibility, and Accessibility of Clinical and Experimental Studies in Allergy (TRACES): Study design and protocol.The journal of allergy and clinical immunology. Global · 2025Article
- A Review of Acupuncture for Allergic Disorders: Modulation of Mast Cell Regulation via Inflammatory Pathway Suppression and Cytokine Balance.International journal of general medicine · 2025Review
- Mapping the intellectual structure of the research of omalizumab in chronic spontaneous urticaria: A bibliometric analysis.The journal of allergy and clinical immunology. Global · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Allergic skin disorders constitute a variety of inflammatory skin disorders with increasing incidence. Bibliometric studies involve a statistical analysis of academic literature to assess the current research trend and identify knowledge gaps. There is a dearth of such studies concerning allergic skin disorders. Aim: To perform a bibliometric analysis of global research concerning allergic skin disorders from 2001 to 2020. Materials and Methods: We obtained all data from the Web of Science using the keywords "atopic dermatitis," "contact dermatitis," "skin allergy," "urticaria," "food allergy," and "drug allergy." Only articles in English language were included. Subsequent analysis revealed the total number of publications, top journals, institutions, and countries, thus highlighting the overall research trend. Results: Overall 76,764 articles were published on allergic skin disorders from 2001 to 2020 (original articles > review articles). The United States of America (USA) contributed maximum publications (26.1%) followed by Germany (9.6%), Japan (8.2%), and England (8.1%). The Allergy is the most preferred journal for publishing skin allergy research. Most research concentrated on atopic dermatitis, pathomechanisms of allergic disorders, and their primary prevention. Conclusion: This study evaluates the current landscape of skin allergy research. There has been a consistent increase in the number of publications concerning allergic skin disorders over the years. However, majority of the research publications are from developed countries. Hence, skin allergy-related research publication should be increased for diverse and enriched literary evidences.
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What OpenQuestion holds
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.