Evidence map›Paper›PMID 42680871›Full record

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.

Saiya He, Zongyuan Li, Wei Huang, Qian Liu, Weiwei Chen

Abstract read
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In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Saiya HeCollaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-Constructed by the Province and Ministry, Department of Orthopedics Trauma and Hand Surgery, Guangxi Key Laboratory of Regenerative Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Zongyuan LiCollaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-Constructed by the Province and Ministry, Department of Orthopedics Trauma and Hand Surgery, Guangxi Key Laboratory of Regenerative Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Wei HuangCollaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-Constructed by the Province and Ministry, Department of Orthopedics Trauma and Hand Surgery, Guangxi Key Laboratory of Regenerative Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Qian LiuCollaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-Constructed by the Province and Ministry, Department of Orthopedics Trauma and Hand Surgery, Guangxi Key Laboratory of Regenerative Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, China. liuqian@gxmu.edu.cn.
Weiwei ChenCollaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-Constructed by the Province and Ministry, Department of Orthopedics Trauma and Hand Surgery, Guangxi Key Laboratory of Regenerative Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, China. chenww08@126.com.

Funding

Guangxi Science and Technology Innovation Platform Plan Guike LT2600640002National Natural Science Foundation of China 82260438Natural Science Foundation of Guangxi Zhuang Autonomous Region 2023GXNSFDA026058
6 · The paper itself

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

Bibliometric studyCrohn's diseasePsoriasisRisankizumab

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.