Péter Antal
- Biological Psychiatry top 5%
- Tryptophan and brain disorders 6
- Aging top 5%
- Behavioral Neuroscience top 5%
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- Bioinformatics and Genomic Networks 10
- Gene expression and cancer classification 8
- Biomedical Text Mining and Ontologies 7
- Metabolomics and Mass Spectrometry Studies 6
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- Bayesian Modeling and Causal Inference 16
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- Genetic Associations and Epidemiology 11
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- Computational Drug Discovery Methods 6
- Co-authors
- Gábor HullámGabriella JuhászGyörgy BagdyBart De MoorJ.F.W. DeakinNóra EszláriXénia GondaYves Moreau
- Partner nations
- HungaryUnited KingdomBelgium
In The Last Decade
Péter Antal
84 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 151
- Biological Psychiatry 106
- Aging 50
- Behavioral Neuroscience 84
- Cellular and Molecular Neuroscience 136
- Molecular Biology 423
Countries citing papers authored by Péter Antal
This map shows the geographic impact of Péter Antal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Péter Antal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Antal more than expected).
Fields of papers citing papers by Péter Antal
This network shows the impact of papers produced by Péter Antal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Péter Antal. The network helps show where Péter Antal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Péter Antal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | A sound mind in a sound body: a novel concept unravelling heterogeneity of depression | 2023 | 1 |
| 5 | 2023 | 6 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 13 | |
| 11 | 2019 | 18 | |
| 12 | 2018 | 45 | |
| 13 | 2018 | 59 | |
| 14 | Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease | 2016 | 3 |
| 15 | Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences | 2016 | 9 |
| 16 | 2012 | 41 | |
| 17 | LEARNING CAUSAL BAYESIAN NETWORKS FROM LITERATURE DATA | 2006 | 1 |
| 18 | Learning Complex Bayesian Network Features for Classification. | 2006 | 11 |
| 19 | 2006 | 1 | |
| 20 | Incorporation of Prior Knowledge in Black-box Models : Comparison of Transformation Methods from Bayesian Network to Multilayer Perceptrons | 2000 | 2 |
About Péter Antal
Péter Antal is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Aging, having authored 91 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (16 papers), Genetic Associations and Epidemiology (11 papers), Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (8 papers), Biomedical Text Mining and Ontologies (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Computational Drug Discovery Methods (6 papers) and Tryptophan and brain disorders (6 papers). The work is most often cited by research in Biological Psychiatry (106 citations), Aging (50 citations) and Behavioral Neuroscience (84 citations). Péter Antal has collaborated with scholars based in Hungary, United Kingdom and Belgium. Frequent co-authors include Gábor Hullám, Gabriella Juhász, György Bagdy, Bart De Moor, J.F.W. Deakin, Nóra Eszlári, Xénia Gonda, Yves Moreau, Csaba Szalai and András Gézsi. Their work appears in journals such as PLoS ONE, Scientific Reports, Translational Psychiatry, European Neuropsychopharmacology and Current Medicinal Chemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.