ArticleNaunyn-Schmiedeberg's archives of pharmacology2026
Mapping the global research landscape of risankizumab: a decade (2016-2025) of multi-database bibliometric analysis and emerging frontiers.
Article in Naunyn-Schmiedeberg's archives of pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Risankizumab is a humanized monoclonal antibody that selectively targets the interleukin-23 p19 subunit. It has demonstrated lasting therapeutic effects in a variety of diseases. Previous bibliometric studies have carried out macro-level mapping in the field of biologic agents for psoriasis. However, no systematic knowledge-map analysis has been conducted specifically for risankizumab. To fill this research gap, this study combines bibliometric and narrative pharmacological approaches. Relevant literature published between January 2016 and December 2025 was retrieved from the Web of Science Core Collection and the Scopus database. Two researchers independently screened the literature and included a total of 2,053 eligible publications, then performed the analyses using Bibliometrix, VOSviewer, CiteSpace, and Microsoft Excel. The results show that the number of drug-related research publications has increased substantially, from only 9 articles in 2016 to nearly 500 in 2025. The United States ranks first in publication volume (n = 1,130), followed by AbbVie as the most productive institution (n = 147) and Matteo Megna as the most prolific author (n = 55). Relevant findings are mainly published in journals such as the International Journal of Molecular Sciences, Annals of the Rheumatic Diseases, JAMA, and The Lancet. Keyword co-occurrence analysis identified 20 independent clusters (Q = 0.9069, S = 0.9776). By integrating bibliometric data with pharmacological background, this study presents the first comprehensive knowledge atlas of the risankizumab research field, offering practical references for future investigations on this drug.
Indexed as
Identifiers
42680871What 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.