Helga Polyák

763 total citations
9 papers, 466 citations indexed

About

Helga Polyák is a scholar working on Biological Psychiatry, Pathology and Forensic Medicine and Behavioral Neuroscience. According to data from OpenAlex, Helga Polyák has authored 9 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biological Psychiatry, 6 papers in Pathology and Forensic Medicine and 4 papers in Behavioral Neuroscience. Recurrent topics in Helga Polyák's work include Tryptophan and brain disorders (8 papers), Multiple Sclerosis Research Studies (5 papers) and Stress Responses and Cortisol (4 papers). Helga Polyák is often cited by papers focused on Tryptophan and brain disorders (8 papers), Multiple Sclerosis Research Studies (5 papers) and Stress Responses and Cortisol (4 papers). Helga Polyák collaborates with scholars based in Hungary. Helga Polyák's co-authors include László Vécsei, Masaru Tanaka, Ágnes Szabó, Fanni Tóth, Eleonóra Spekker, Yvette Mándi, Cecília Rajda, Péter Klivènyi, Zoltán Maróti and Gábor Veres and has published in prestigious journals such as International Journal of Molecular Sciences, Cells and Frontiers in Neuroscience.

In The Last Decade

Helga Polyák

9 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Helga Polyák Hungary	8	183	129	104	79	75	9	466
Giovana Bristot Brazil	13	215 1.2×	190 1.5×	84 0.8×	75 0.9×	52 0.7×	27	559
Nóra Török Hungary	14	176 1.0×	108 0.8×	89 0.9×	118 1.5×	27 0.4×	20	504
Eleonóra Spekker Hungary	12	110 0.6×	255 2.0×	55 0.5×	107 1.4×	65 0.9×	19	548
Yousong Su China	13	234 1.3×	146 1.1×	87 0.8×	118 1.5×	70 0.9×	40	524
Ather Muneer Pakistan	11	218 1.2×	304 2.4×	67 0.6×	121 1.5×	35 0.5×	23	613
Xingbing Huang China	14	145 0.8×	256 2.0×	59 0.6×	81 1.0×	89 1.2×	49	626
Krzysztof Kucia Poland	13	220 1.2×	114 0.9×	113 1.1×	111 1.4×	55 0.7×	44	501
Silke Conen Netherlands	11	288 1.6×	99 0.8×	158 1.5×	53 0.7×	97 1.3×	16	652
Monica Sathyanesan United States	12	153 0.8×	50 0.4×	102 1.0×	103 1.3×	103 1.4×	23	549
Ayşe Karson Türkiye	14	208 1.1×	101 0.8×	181 1.7×	109 1.4×	71 0.9×	26	553

Countries citing papers authored by Helga Polyák

Since Specialization

Citations

This map shows the geographic impact of Helga Polyák'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 Helga Polyák with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helga Polyák more than expected).

Fields of papers citing papers by Helga Polyák

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helga Polyák. 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 Helga Polyák. The network helps show where Helga Polyák may publish in the future.

Co-authorship network of co-authors of Helga Polyák

This figure shows the co-authorship network connecting the top 25 collaborators of Helga Polyák. A scholar is included among the top collaborators of Helga Polyák 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 Helga Polyák. Helga Polyák is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Polyák, Helga, et al.. (2025). Plasma and Visceral Organ Kynurenine Metabolites Correlate in the Multiple Sclerosis Cuprizone Animal Model. International Journal of Molecular Sciences. 26(3). 976–976. 1 indexed citations

Polyák, Helga, Cecília Rajda, Gábor Veres, et al.. (2023). The Tryptophan-Kynurenine Metabolic System Is Suppressed in Cuprizone-Induced Model of Demyelination Simulating Progressive Multiple Sclerosis. Biomedicines. 11(3). 945–945. 33 indexed citations

Tanaka, Masaru, Eleonóra Spekker, Ágnes Szabó, Helga Polyák, & László Vécsei. (2022). Modelling the neurodevelopmental pathogenesis in neuropsychiatric disorders. Bioactive kynurenines and their analogues as neuroprotective agents—in celebration of 80th birthday of Professor Peter Riederer. Journal of Neural Transmission. 129(5-6). 627–642. 65 indexed citations

Tanaka, Masaru, Ágnes Szabó, Eleonóra Spekker, et al.. (2022). Mitochondrial Impairment: A Common Motif in Neuropsychiatric Presentation? The Link to the Tryptophan–Kynurenine Metabolic System. Cells. 11(16). 2607–2607. 119 indexed citations

Polyák, Helga, Zsuzsanna Bohár, Cecília Rajda, et al.. (2021). Cuprizone markedly decreases kynurenic acid levels in the rodent brain tissue and plasma. Heliyon. 7(2). e06124–e06124. 11 indexed citations

Polyák, Helga, et al.. (2021). Kynurenines and Neurofilament Light Chain in Multiple Sclerosis. Frontiers in Neuroscience. 15. 658202–658202. 21 indexed citations

Tanaka, Masaru, Fanni Tóth, Helga Polyák, et al.. (2021). Immune Influencers in Action: Metabolites and Enzymes of the Tryptophan-Kynurenine Metabolic Pathway. Biomedicines. 9(7). 734–734. 173 indexed citations

Veres, Gábor, Tamás Körtési, Helga Polyák, et al.. (2020). Neurotransmitter and tryptophan metabolite concentration changes in the complete Freund’s adjuvant model of orofacial pain. The Journal of Headache and Pain. 21(1). 35–35. 14 indexed citations

Rajda, Cecília, et al.. (2020). Cerebrospinal Fluid Neurofilament Light Chain Is Associated with Kynurenine Pathway Metabolite Changes in Multiple Sclerosis. International Journal of Molecular Sciences. 21(8). 2665–2665. 29 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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