Péter Antal
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Aging top 5%
Papers in
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- Bioinformatics and Genomic Networks 9
- Gene expression and cancer classification 6
- Biomedical Text Mining and Ontologies 6
- Metabolomics and Mass Spectrometry Studies 5
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- Bayesian Modeling and Causal Inference 16
- Co-authors
- Gabriella Juhász (23 shared papers)Gábor Hullám (26 shared papers)György Bagdy (17 shared papers)J.F.W. Deakin (12 shared papers)Bart De Moor (8 shared papers)Nóra Eszlári (15 shared papers)Xénia Gonda (13 shared papers)Yves Moreau (6 shared papers)
- Journals
- PLoS ONE (4 papers)Translational Psychiatry (3 papers)European Neuropsychopharmacology (3 papers)Scientific Reports (3 papers)Artificial Intelligence in Medicine (2 papers)
- Partner nations
- HungaryUnited KingdomBelgium
In The Last Decade
Péter Antal
85 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 150
- Biological Psychiatry 89
- Aging 48
- Behavioral Neuroscience 64
- Cellular and Molecular Neuroscience 123
- Psychiatry and Mental health 73
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-authors
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
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 78 | |
| 2 | 2018 | 62 | |
| 3 | 2018 | 60 | |
| 4 | 2013 | 58 | |
| 5 | 2018 | 47 | |
| 6 | 2004 | 46 | |
| 7 | 2017 | 43 | |
| 8 | 2012 | 42 | |
| 9 | 2003 | 40 | |
| 10 | 2002 | 38 | |
| 11 | 2012 | 36 | |
| 12 | 2016 | 36 | |
| 13 | 2013 | 31 | |
| 14 | 2017 | 29 | |
| 15 | 2012 | 25 | |
| 16 | 2009 | 25 | |
| 17 | 2013 | 25 | |
| 18 | 2015 | 25 | |
| 19 | 2011 | 24 | |
| 20 | 2016 | 24 |
About Péter Antal
Péter Antal is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Experimental and Cognitive Psychology and Computational Theory and Mathematics, having authored 92 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (16 papers), Bioinformatics and Genomic Networks (9 papers), Genetic Associations and Epidemiology (7 papers), Gene expression and cancer classification (6 papers), Biomedical Text Mining and Ontologies (6 papers), Mental Health Research Topics (5 papers), Computational Drug Discovery Methods (5 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). The work is most often cited by research in Biological Psychiatry (89 citations), Aging (48 citations), Behavioral Neuroscience (64 citations), Cellular and Molecular Neuroscience (123 citations) and Psychiatry and Mental health (73 citations). Péter Antal has collaborated with scholars based in Hungary, United Kingdom and Belgium. Frequent co-authors include Gabriella Juhász, Gábor Hullám, György Bagdy, J.F.W. Deakin, Bart De Moor, Nóra Eszlári, Xénia Gonda, Yves Moreau, Csaba Szalai and András Gézsi. Their work appears in journals such as PLoS ONE, Translational Psychiatry, European Neuropsychopharmacology, Scientific Reports and Artificial Intelligence in Medicine.
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.