ArticleInternational journal of immunopathology and pharmacology
Mapping the psoriasis research landscape: A comprehensive bibliometric analysis from 2012-2023.
Article in International journal of immunopathology and pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A bibliometric analysis of global research status and trends in irritable bowel syndrome and gut microbiota metabolites.Frontiers in microbiology · 2025Pooled it
- Tracing Five Decades of Psoriasis Pharmacotherapy: A Large-Scale Bibliometric Investigation with AI-Guided Terminology Normalization.Pharmaceuticals (Basel, Switzerland) · 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An extensive investigation explores the complex terrain of psoriasis, a persistent inflammatory dermatological disorder that impacts between 1% and 3% of the worldwide populace. Acknowledging the intricate interplay between environmental, genetic, and immunological influences on the etiology of psoriasis, the study utilizes sophisticated bibliometric techniques to investigate patterns, gaps in knowledge, and emergent trends within the field. The study utilizes advanced bibliometric techniques to analyze patterns, gaps in knowledge, and emerging trends in the field while acknowledging the intricate interplay between environmental, genetic, and immune-related influences on the etiology of psoriasis. An examination of 18,765 documents from December 2012 to December 2023 was conducted using machine learning techniques and the Scopus database. The explanation for conducting analysis is rooted in its capacity to provide significant perspectives on the dynamic progression of psoriasis research. The study facilitates the identification of significant subject areas, exposes patterns in publication trends, emphasizes influential authors and journals, and outlines the worldwide contributions to the field. The study demonstrates a steady and progressive increase in publications, with significant contributions from the Journal of the American Academy of Dermatology, the British Journal of Dermatology, and the Journal of the European Academy of Dermatology and Venereology. Prominent scholars in research output, such as the United States, China, and Germany, as well as authors including Feldman, Wu, Griffiths, Puig, and Reich K., are identified. Biochemistry, genetics, and molecular biology come to the forefront as esteemed fields that make substantial contributions to the study of psoriasis alongside medicine. This research highlights the interdisciplinary aspects of psoriasis by uncovering knowledge hubs and international collaborations between authors and organizations. The findings highlight the global reach of research on psoriasis and the importance of international cooperation.
Indexed as
Identifiers
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.