Evidence map›Paper›PMID 42459586›Full record

ArticleDusunen adam : Bakirkoy Ruh ve Sinir Hastaliklari Hastanesi yayin organi2025

Bibliometric and visual analysis of the top 100 most cited articles on long-acting injectable antipsychotics.

Selin Balki Tekin, Danis Aygun, Ayse Nur Inci Kenar

Abstract read
In one paragraph

Article in Dusunen adam : Bakirkoy Ruh ve Sinir Hastaliklari Hastanesi yayin organi, 2025. 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

3 authors.

Selin Balki TekinDenizli State Hospital, Department of Psychiatry, Denizli, Turkiye.
Danis AygunPamukkale University Faculty of Medicine, Department of Anatomy, Denizli, Turkiye.
Ayse Nur Inci KenarPamukkale University Faculty of Medicine, Department of Psychiatry, Denizli, Turkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Recently, there has been a notable increase in interest in long-acting injectable antipsychotics (LAIAs) and in the number of studies conducted in psychopharmacology. This study aims to identify and analyze the 100 most cited articles on LAIAs. Method: The Web of Science (WOS) Core Collection database was analyzed using VOSviewer software to identify published articles on the subject. Information such as titles, authors, journals and publishers, number of citations, and years of publication was examined. The publications were then ranked according to the number of citations, and the top 100 most cited articles were subjected to further analysis. Results: The total number of citations ranged from 65 to 1,044. The most cited article is the 'International Consensus Study of Antipsychotic Dosing' in 2010, published in The American Journal of Psychiatry, with 1,044 citations. The Journal of Clinical Psychiatry contributed the greatest number of articles to the top 100 most cited articles, with 20 articles, followed by The British Journal of Psychiatry and Schizophrenia Research, which contributed eight and seven articles, respectively. The oldest publication in the top 100 was published in 1998, and the two most recent articles were published in 2022. Conclusion: This analysis allows researchers and clinicians to gain insight into the most recent and impactful work in this field, particularly in identifying potential avenues for future academic research.

Indexed as

Bibliometric analysiscitationlong-acting injectable antipsychoticVOSviewer

Identifiers

PMID42459586
PMCPMC13289275

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.