Evidence map›Paper›PMID 41474665›Full record

ArticleBrain and behavior2026

Mapping the Scientific Landscape of Schizophrenia Genetics (2020-2025): A Bibliometric and Scientometric Study of Global Trends and Collaborations.

Niloofar Mikaeili, Mahdi Naeim, Mohammad Narimani

Abstract read
In one paragraph

Article in Brain and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Review
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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.

Niloofar MikaeiliDepartment of Psychology, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran.
Mahdi NaeimDepartment of Psychology, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran.
Mohammad NarimaniDepartment of Psychology, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThis study provides a comprehensive bibliometric and scientometric analysis of research trends in schizophrenia genetics from 2020 to 2025. Driven by rapid technological advances such as genome-wide association studies (GWAS) and next-generation sequencing (NGS), the field has experienced significant growth. The objective was to map the thematic evolution, key contributors, and collaboration networks shaping psychiatric genomics research.

methodsAn integrated bibliometric and scientometric approach was employed. A dataset of 5001 English-language publications authored by 27,692 researchers was retrieved from PubMed, Scopus, and web of science (Wos) databases. Following deduplication and eligibility screening, VOSviewer (version 1.6.20) was used to generate network visualizations analyzing co-authorship, keyword co-occurrence, citation, and co-citation patterns.

resultsThe analysis revealed a notable surge in publications after 2022, increasing from 431 articles in 2020 to 1,645 articles in 2022, before stabilizing above 900 publications annually in 2023 and 2024. Six major thematic clusters were identified: (1) genetic and cellular mechanisms; (2) neurochemical and behavioral studies; (3) neuroimaging; (4) clinical and epidemiological features including polygenic risk scoring; (5) methodological approaches; and (6) comorbidities with pharmacogenetic implications. Prominent contributors included Ole A. Andreassen and Vince D. Calhoun, while the United States, China, and the United Kingdom emerged as central hubs of international collaboration.

conclusionThis study elucidates the leading researchers, prevailing themes, and collaborative networks driving schizophrenia genetics research from 2020 to 2025. The findings demonstrate the efficacy of bibliometric and scientometric methods, particularly VOSviewer, in revealing the dynamic landscape of psychiatric genomics and guiding future multidisciplinary research efforts.This graphical abstract illustrates the integrated workflow of the study "mapping the scientific landscape of schizophrenia genetics (2020-2025)". The process combines bibliometric and scientometric analyses of 5,001 publications using VOSviewer to identify thematic clusters, key contributors, and international collaboration networks that define global research trends in schizophrenia genetics.

Indexed as

BibliometricsSchizophreniaGenome-Wide Association StudyGenomicsHumansbibliometricsgeneticsGWASschizophreniaVOSviewer

Identifiers

PMID41474665
PMCPMC12755395

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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.