ArticleJournal of dental sciences2024
The scientometric characteristics of lichen planus in stomatology and dermatology journals: A comparative study.
Article in Journal of dental sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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Who cites it
7 citing papers in PubMed.
- A scientometric study on research trends and characteristics of randomized controlled trials in orthodontics.Journal of dental sciences · 2026Article
- A scientometric study on research trends and characteristics of lymphoma involving the oral cavity.Journal of dental sciences · 2026Article
- A scientometric and comparative study of rhabdomyosarcoma research by pediatricians and stomatologists.Journal of dental sciences · 2026Article
- A scientometric study on the characteristics of herbal medicine and identification of herbaceous agents for treatment of periodontal diseases.Journal of dental sciences · 2026Article
- A scientometric study on methylation modification and identification of related genes in oral potentially malignant disorders and oral cancer.Journal of dental sciences · 2026Article
- A scientometric study on Wnt and Notch signaling pathways in oral potentially malignant disorders and oral cancer.Journal of dental sciences · 2025Article
- A scientometric study on research trends and characteristics of furcation involvement in periodontal disease.Journal of dental sciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background/purpose: Lichen planus (LP) is a representative mucocutaneous disease involving oral mucosa and skin. The aim of this study was to compare the scientometric characteristics of LP publications in stomatology and dermatology journals. Materials and methods: All the papers on LP were comprehensively searched and then ones published in stomatology and dermatology journals were retrieved. Results: Among all the 5633 papers on LP, 1344 (23.9%) and 2528 (44.9%) were published in stomatology and dermatology journals, respectively. Among the most-cited top-100 papers, 58 and 30 were published in stomatology and dermatology journals, respectively. Moreover, citation count (11,908) and citation density (640.2) of the 58 stomatology publications were obviously higher than the 2 numbers (5096, 260.3) of the 30 dermatology publications. Based on the frequency of research keywords, the distinctive keywords such as malignant transformation, precancerous, genetics, genotype, gene expression, saliva, blood, cytokines, smoking, anxiety, and depression were identified in stomatology publications. On the other side, hyperkeratosis, hyperpigmentation, erythema, epiluminescence microscopy, and dermoscopy were identified in dermatology publications. Furthermore, drug research including drug withdrawal, drug safety, and drug dose reduction with a dozen of drugs are frequent keywords in dermatology but not in stomatology publications. Conclusion: The distinctive keywords of LP publications in stomatology and dermatology journals correspond to the research priority in stomatology and dermatology. We hope that the observations of this analysis will aid clinicians and investigators in promoting mutual understanding and more reciprocal cooperation regarding LP in stomatology and dermatology.
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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.