Ferenc Torma

720 total citations
21 papers, 368 citations indexed

About

Ferenc Torma is a scholar working on Physiology, Molecular Biology and Complementary and alternative medicine. According to data from OpenAlex, Ferenc Torma has authored 21 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 9 papers in Molecular Biology and 4 papers in Complementary and alternative medicine. Recurrent topics in Ferenc Torma's work include Adipose Tissue and Metabolism (9 papers), Epigenetics and DNA Methylation (4 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Ferenc Torma is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Epigenetics and DNA Methylation (4 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Ferenc Torma collaborates with scholars based in Hungary, Japan and United States. Ferenc Torma's co-authors include Zsolt Radák, Tatsuya Mimura, Mátyás Jókai, Zoltán Gombos, Erika Koltai, Masaki Takeda, István Boldogh, Anikó Pósa, I. Berkés and Mitsuru Higuchi and has published in prestigious journals such as PLoS ONE, Free Radical Biology and Medicine and International Journal of Molecular Sciences.

In The Last Decade

Ferenc Torma

20 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ferenc Torma Hungary 12 143 131 53 51 29 21 368
Sira Karvinen Finland 13 194 1.4× 282 2.2× 44 0.8× 52 1.0× 38 1.3× 20 570
Gaël Ennequin France 13 106 0.7× 115 0.9× 31 0.6× 36 0.7× 15 0.5× 37 357
Mladen Savikj Sweden 8 159 1.1× 310 2.4× 53 1.0× 54 1.1× 19 0.7× 15 524
Mark W. Pataky United States 11 203 1.4× 235 1.8× 31 0.6× 52 1.0× 23 0.8× 23 494
Stefan Keslacy United States 15 121 0.8× 296 2.3× 119 2.2× 41 0.8× 25 0.9× 28 641
Nayoung Ahn South Korea 10 48 0.3× 139 1.1× 39 0.7× 76 1.5× 11 0.4× 40 293
Jingwen Liao China 15 140 1.0× 123 0.9× 35 0.7× 22 0.4× 63 2.2× 29 442
Ebrahim Banitalebi Iran 12 60 0.4× 230 1.8× 77 1.5× 80 1.6× 21 0.7× 72 502
Vinícius Carolino Souza Brazil 13 63 0.4× 251 1.9× 75 1.4× 85 1.7× 48 1.7× 35 494
Heidi B. IglayReger United States 11 168 1.2× 181 1.4× 19 0.4× 73 1.4× 15 0.5× 22 508

Countries citing papers authored by Ferenc Torma

Since Specialization
Citations

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

Fields of papers citing papers by Ferenc Torma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferenc Torma

This figure shows the co-authorship network connecting the top 25 collaborators of Ferenc Torma. A scholar is included among the top collaborators of Ferenc Torma 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 Ferenc Torma. Ferenc Torma 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.
Ditrói, Tamás, Ferenc Torma, Krisztina Pálóczi, et al.. (2025). The protein cargo of extracellular vesicles correlates with the epigenetic aging clock of exercise sensitive DNAmFitAge. Biogerontology. 26(1). 35–35. 4 indexed citations
2.
Kawamura, Takuji, Csaba Kerepesi, Ferenc Torma, et al.. (2025). Organ Specificity and Commonality of Epigenetic Aging in Low‐ and High‐Running Capacity Rats. Aging Cell. 24(8). e70110–e70110.
3.
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
4.
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
6.
Yamazaki, Yudai, Kazuya Suwabe, Atsuko Nagano‐Saito, et al.. (2023). A possible contribution of the locus coeruleus to arousal enhancement with mild exercise: evidence from pupillometry and neuromelanin imaging. Cerebral Cortex Communications. 4(2). tgad010–tgad010. 12 indexed citations
8.
Radák, Zsolt, Ferenc Torma, Mátyás Jókai, et al.. (2023). DNAmFitAge: biological age indicator incorporating physical fitness. Aging. 15(10). 3904–3938. 53 indexed citations
9.
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
10.
Shimoda, Ryo, Masahiro Okamoto, Shingo Soya, et al.. (2023). Accelerated Fear Extinction by Regular Light-Intensity Exercise: A Possible Role of Hippocampal BDNF-TrkB Signaling. Medicine & Science in Sports & Exercise. 56(2). 221–229. 2 indexed citations
11.
Gombos, Zoltán, Erika Koltai, Ferenc Torma, et al.. (2021). Hypertrophy of Rat Skeletal Muscle Is Associated with Increased SIRT1/Akt/mTOR/S6 and Suppressed Sestrin2/SIRT3/FOXO1 Levels. International Journal of Molecular Sciences. 22(14). 7588–7588. 11 indexed citations
12.
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
13.
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
14.
Torma, Ferenc, Zoltán Gombos, Béla Merkely, et al.. (2019). Blood flow restriction in human skeletal muscle during rest periods after high-load resistance training down-regulates miR-206 and induces Pax7. Journal of sport and health science. 10(4). 470–477. 24 indexed citations
15.
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
16.
Radák, Zsolt, Ferenc Torma, I. Berkés, et al.. (2018). Exercise effects on physiological function during aging. Free Radical Biology and Medicine. 132. 33–41. 82 indexed citations
17.
Horváth, Gergő, László Tretter, Zsolt Radák, et al.. (2018). Mitochondrial function after associating liver partition and portal vein ligation for staged hepatectomy in an experimental model. British journal of surgery. 106(1). 120–131. 13 indexed citations
18.
Torma, Ferenc, Zoltán Bori, Erika Koltai, et al.. (2016). Eating habits modulate short term memory and epigenetical regulation of brain derived neurotrophic factor in hippocampus of low- and high running capacity rats. Free Radical Biology and Medicine. 96. S34–S35. 2 indexed citations
19.
Torma, Ferenc, Erika Koltai, Anikó Pósa, et al.. (2014). Exercise Increases Markers of Spermatogenesis in Rats Selectively Bred for Low Running Capacity. PLoS ONE. 9(12). e114075–e114075. 23 indexed citations
20.
Torma, Ferenc, Zoltán Bori, Erika Koltai, et al.. (2014). Eating habits modulate short term memory and epigenetical regulation of brain derived neurotrophic factor in hippocampus of low- and high running capacity rats. Brain Research Bulletin. 107. 54–60. 10 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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