Péter Antal

2.1k total citations
91 papers, 1.2k citations indexed

About

Péter Antal is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Péter Antal has authored 91 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 20 papers in Artificial Intelligence and 15 papers in Genetics. Recurrent topics in Péter Antal's work include Bayesian Modeling and Causal Inference (16 papers), Genetic Associations and Epidemiology (11 papers) and Bioinformatics and Genomic Networks (10 papers). Péter Antal is often cited by papers focused on Bayesian Modeling and Causal Inference (16 papers), Genetic Associations and Epidemiology (11 papers) and Bioinformatics and Genomic Networks (10 papers). Péter Antal collaborates with scholars based in Hungary, United Kingdom and Belgium. Péter Antal's co-authors include Gabriella Juhász, Gábor Hullám, György Bagdy, Bart De Moor, J.F.W. Deakin, Nóra Eszlári, Yves Moreau, Xénia Gonda, Csaba Szalai and András Gézsi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Péter Antal

84 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Péter Antal Hungary 23 423 136 131 119 106 91 1.2k
Fan Xu China 23 316 0.7× 53 0.4× 64 0.5× 176 1.5× 89 0.8× 159 1.7k
Mira Park South Korea 25 691 1.6× 153 1.1× 100 0.8× 95 0.8× 54 0.5× 92 1.7k
Musaad A. Alshammari Saudi Arabia 23 406 1.0× 98 0.7× 40 0.3× 131 1.1× 103 1.0× 55 1.2k
Gin‐Den Chen Taiwan 31 514 1.2× 349 2.6× 158 1.2× 501 4.2× 67 0.6× 115 2.4k
Anbupalam Thalamuthu Australia 27 1000 2.4× 89 0.7× 91 0.7× 294 2.5× 62 0.6× 92 2.5k
Hongbao Cao United States 26 594 1.4× 74 0.5× 53 0.4× 183 1.5× 174 1.6× 138 2.0k
Michael D. Goodman United States 27 587 1.4× 76 0.6× 187 1.4× 168 1.4× 73 0.7× 158 2.6k
Zhe Shen China 29 1.2k 2.9× 80 0.6× 149 1.1× 284 2.4× 43 0.4× 97 3.3k
Eugene Lin Taiwan 28 734 1.7× 146 1.1× 57 0.4× 213 1.8× 193 1.8× 85 2.1k
Konrad Rejdak Poland 26 554 1.3× 374 2.8× 85 0.6× 309 2.6× 179 1.7× 192 2.7k

Countries citing papers authored by Péter Antal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Péter Antal

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Antal. A scholar is included among the top collaborators of Péter Antal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Péter Antal. Péter Antal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
González, Rubèn, Emili Vela, András Gézsi, et al.. (2024). Multicentric Assessment of a Multimorbidity-Adjusted Disability Score to Stratify Depression-Related Risks Using Temporal Disease Maps: Instrument Validation Study. Journal of Medical Internet Research. 26. e53162–e53162. 2 indexed citations
3.
Gézsi, András & Péter Antal. (2024). GNN4DM: a graph neural network-based method to identify overlapping functional disease modules. Bioinformatics. 40(10). 4 indexed citations
4.
Aldewereld, Huib, Stefano Marrone, Carlo Sansone, et al.. (2023). The European AI Tango: Balancing Regulation Innovation and Competitiveness. 2–8. 6 indexed citations
5.
Hullám, Gábor, Zsófia Gál, Xénia Gonda, et al.. (2023). A sound mind in a sound body: a novel concept unravelling heterogeneity of depression. ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley). 1 indexed citations
6.
Hullám, Gábor, Péter Petschner, Nóra Eszlári, et al.. (2023). Genetic risk of depression is different in subgroups of dietary ratio of tryptophan to large neutral amino acids. Scientific Reports. 13(1). 4976–4976. 3 indexed citations
7.
Möller, Steffen, Nadine Saul, Israel Barrantes, et al.. (2022). Gene co-expression analyses of health(span) across multiple species. NAR Genomics and Bioinformatics. 4(4). lqac083–lqac083. 2 indexed citations
8.
Eszlári, Nóra, Zsolt Bagyura, Gabriella Juhász, et al.. (2021). Catenin Alpha 2 May Be a Biomarker or Potential Drug Target in Psychiatric Disorders with Perseverative Negative Thinking. Pharmaceuticals. 14(9). 850–850. 4 indexed citations
9.
Eszlári, Nóra, Gábor Hullám, Péter Petschner, et al.. (2021). Biology of Perseverative Negative Thinking: The Role of Timing and Folate Intake. Nutrients. 13(12). 4396–4396. 6 indexed citations
10.
Gonda, Xénia, Nóra Eszlári, Dóra Török, et al.. (2021). Genetic underpinnings of affective temperaments: a pilot GWAS investigation identifies a new genome-wide significant SNP for anxious temperament in ADGRB3 gene. Translational Psychiatry. 11(1). 337–337. 13 indexed citations
11.
Eszlári, Nóra, Péter Petschner, Xénia Gonda, et al.. (2019). Genome-wide association analysis reveals KCTD12 and miR-383-binding genes in the background of rumination. Translational Psychiatry. 9(1). 119–119. 18 indexed citations
12.
Gonda, Xénia, Gábor Hullám, Péter Antal, et al.. (2018). Significance of risk polymorphisms for depression depends on stress exposure. Scientific Reports. 8(1). 3946–3946. 45 indexed citations
13.
Marx, Péter, et al.. (2016). Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 310–320. 3 indexed citations
14.
Antal, Péter, et al.. (2016). Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 25–36. 9 indexed citations
15.
16.
Antal, Péter, et al.. (2006). Literature Mining using Bayesian Networks.. 11(6). 17–24. 1 indexed citations
17.
Antal, Péter, et al.. (2006). LEARNING CAUSAL BAYESIAN NETWORKS FROM LITERATURE DATA. 50. 201–221. 1 indexed citations
18.
Antal, Péter, et al.. (2006). Learning Complex Bayesian Network Features for Classification.. 9–16. 11 indexed citations
19.
Antal, Péter, et al.. (2000). Incorporation of Prior Knowledge in Black-box Models : Comparison of Transformation Methods from Bayesian Network to Multilayer Perceptrons. Uncertainty in Artificial Intelligence. 7–12. 2 indexed citations
20.
Antal, Péter, et al.. (1995). Flow cytometric assay of phagocytic activity of human neutrophils and monocytes in whole blood by neutral red uptake. Annals of Hematology. 70(5). 259–265. 1 indexed citations

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.

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