Mátyás Jókai

409 total citations
10 papers, 205 citations indexed

About

Mátyás Jókai is a scholar working on Molecular Biology, Physiology and Complementary and alternative medicine. According to data from OpenAlex, Mátyás Jókai has authored 10 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Physiology and 2 papers in Complementary and alternative medicine. Recurrent topics in Mátyás Jókai's work include Epigenetics and DNA Methylation (4 papers), Cardiovascular and exercise physiology (2 papers) and Adipose Tissue and Metabolism (2 papers). Mátyás Jókai is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Cardiovascular and exercise physiology (2 papers) and Adipose Tissue and Metabolism (2 papers). Mátyás Jókai collaborates with scholars based in Hungary, Japan and United States. Mátyás Jókai's co-authors include Zsolt Radák, Ferenc Torma, Zoltán Gombos, Masaki Takeda, Tatsuya Mimura, Steve Horvath, János Fehér, Dóra Szabó, Márta Wilhelm and Saki Kondo and has published in prestigious journals such as Aging Cell, Aging and Genes.

In The Last Decade

Mátyás Jókai

10 papers receiving 204 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mátyás Jókai Hungary	7	102	77	33	23	19	10	205
Daniela Schranner Germany	6	116 1.1×	159 2.1×	40 1.2×	29 1.3×	63 3.3×	8	309
Mehrdad Fathi Iran	6	119 1.2×	115 1.5×	23 0.7×	37 1.6×	40 2.1×	22	323
Kevin J. Gries United States	10	104 1.0×	185 2.4×	62 1.9×	42 1.8×	57 3.0×	19	359
Fatemeh Kazeminasab Iran	12	70 0.7×	160 2.1×	25 0.8×	7 0.3×	33 1.7×	36	300
Heather H. Cornnell United States	8	122 1.2×	236 3.1×	47 1.4×	9 0.4×	28 1.5×	8	328
Jacob L. Barber United States	11	80 0.8×	163 2.1×	82 2.5×	20 0.9×	30 1.6×	20	385
Syed S.I. Bukhari United Kingdom	7	125 1.2×	160 2.1×	15 0.5×	44 1.9×	41 2.2×	7	337
Miriam van Dijk Netherlands	11	126 1.2×	247 3.2×	6 0.2×	13 0.6×	25 1.3×	22	351
Silvia Martinelli Italy	9	65 0.6×	79 1.0×	9 0.3×	16 0.7×	20 1.1×	13	295
Jedd Pratt Ireland	9	85 0.8×	187 2.4×	10 0.3×	18 0.8×	8 0.4×	18	275

Countries citing papers authored by Mátyás Jókai

Since Specialization

Citations

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

Fields of papers citing papers by Mátyás Jókai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mátyás Jókai

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

All Works

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10 of 10 papers shown

Farkas, Gábor, Mátyás Jókai, Ferenc Torma, et al.. (2025). Associations of epigenetic aging and COVID- 19: A 3-year longitudinal study. GeroScience. 47(3). 4889–4898. 1 indexed citations

Torma, Ferenc, Csaba Kerepesi, Mátyás Jókai, et al.. (2024). Alterations of the gut microbiome are associated with epigenetic age acceleration and physical fitness. Aging Cell. 23(4). e14101–e14101. 12 indexed citations

Torma, Ferenc, et al.. (2023). The Circulating Level of Klotho Is Not Dependent upon Physical Fitness and Age-Associated Methylation Increases at the Promoter Region of the Klotho Gene. Genes. 14(2). 525–525. 5 indexed citations

Radák, Zsolt, Ferenc Torma, Mátyás Jókai, et al.. (2023). DNAmFitAge: biological age indicator incorporating physical fitness. Aging. 15(10). 3904–3938. 53 indexed citations

Gilić, Barbara, et al.. (2023). What Determines the Competitive Success of Young Croatian Wrestlers: Anthropometric Indices, Generic or Specific Fitness Performance?. Journal of Functional Morphology and Kinesiology. 8(3). 90–90. 8 indexed citations

Torma, Ferenc, Mátyás Jókai, Katsuhiko Suzuki, et al.. (2023). No strong association among epigenetic modifications by DNA methylation, telomere length, and physical fitness in biological aging. Biogerontology. 24(2). 245–255. 12 indexed citations

Torma, Ferenc, Zsolt Regdon, Zoltán Gombos, et al.. (2021). Blood flow restriction during the resting periods of high-intensity resistance training does not alter performance but decreases MIR-1 and MIR-133A levels in human skeletal muscle. Sports Medicine and Health Science. 3(1). 40–45. 5 indexed citations

Torma, Ferenc, Zoltán Gombos, Mátyás Jókai, et al.. (2020). The roles of microRNA in redox metabolism and exercise-mediated adaptation. Journal of sport and health science. 9(5). 405–414. 24 indexed citations

Jókai, Mátyás, Saki Kondo, János Fehér, et al.. (2020). Exercise combined with a probiotics treatment alters the microbiome, but moderately affects signalling pathways in the liver of male APP/PS1 transgenic mice. Biogerontology. 21(6). 807–815. 33 indexed citations

10.

Torma, Ferenc, Zoltán Gombos, Mátyás Jókai, et al.. (2019). High intensity interval training and molecular adaptive response of skeletal muscle. Sports Medicine and Health Science. 1(1). 24–32. 52 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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