ReviewFrontiers in psychiatry2024
Global research in schizophrenia and serotonin: a bibliometric analysis.
Review in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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
5 citing papers in PubMed.
- RNF research trends and an RNF43-based prognostic model for colorectal cancer with immune microenvironment analysis.Discover oncology · 2026Article
- Mapping the Scientific Landscape of Schizophrenia Genetics (2020-2025): A Bibliometric and Scientometric Study of Global Trends and Collaborations.Brain and behavior · 2026Article
- Bibliometric and visual analysis of the top 100 most cited articles on long-acting injectable antipsychotics.Dusunen adam : Bakirkoy Ruh ve Sinir Hastaliklari Hastanesi yayin organi · 2025Article
- The Role of Serotoninomics in Neuropsychiatric Disorders: Anthranilic Acid in Schizophrenia.International journal of molecular sciences · 2025Review
- Co-citation analysis of molecular imaging in neuropsychiatric disorders: integrating perspectives from radiology, neuroscience, and psychiatry.Psychoradiology · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Schizophrenia is a chronic mental illness that affects millions of individuals worldwide. The etiological origin of schizophrenia is heterogeneous, but it has been shown to be associated with dysfunction in serotonin activity, serotonin receptors, and serotonin metabolism in the brain. Bibliometric analysis is a tool used to scrutinise and analyse research activities and evidence in a specific research area. No existing bibliometric analyses have considered both serotonin and schizophrenia. Methods: We conducted a bibliometric analysis including 12,027 studies related to the schizophrenia-serotonin link published from the inception of the study to 2023 and available in the Scopus database. We used VOSviewer software to identify global trends, analyse the author and editors keywords, the most cited articles and author, as well as the most productive institutes and journals publishing research on schizophrenia-serotonin link. Results: Most publications related to the link between schizophrenia and serotonin are focused on adult humans and examine topics such as antipsychotic agents, depression, and serotonin uptake inhibitors. The Conclusion: Since 1950, there have been several fluctuations in the number of published studies related to schizophrenia and serotonin. We believe that the development of novel medications and treatments for schizophrenia will be increased in the future, as well as research into genetic risks, psychological factors, and cranial neuroimaging components. Future schizophrenia and serotonin research is likely to focus on personalised medicine, alternative therapies, novel pathogenesis of schizophrenia, and the use of emerging technologies such as artificial intelligence.
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.